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No, I didn't know. I mean, I would I would figure it was ABC fake news that would ask that question. One of the worst. Uh, but uh, no, I don't know really why.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump on Virginia Giuffre’s family’s statement regarding Epstein
|
https://www.youtube.com/watch?v=3SLxqyTA1Lc
| true
| true
| false
|
["media", "Jeffrey Epstein", "Virginia Giuffre"]
|
["Jeffrey Epstein", "Virginia Giuffre", "ABC"]
|
["ABC"]
|
The family of Virginia Giuffre, who was among Jeffrey Epstein's most well-known sex trafficking accusers, said that it was shocking ...
|
2025-08-01T00:10:05.075000+00:00
|
00:00:09,000 --> 00:00:18,000
|
2025-08-01T02:06:06.798322+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 263,777
| null | 1
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| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThe family of Virginia Duprey released a", "2\n00:00:00,000 --> 00:00:02,000\nThe family of Virginia Duprey released a", "3\n00:00:02,000 --> 00:00:04,000\nstatement overnight in response to some", "4\n00:00:04,000 --> 00:00:06,000\nof the comments that you made this week.", "5\n00:00:06,000 --> 00:00:07,000\nYou said that Jeffrey Epstein stole", "6\n00:00:07,000 --> 00:00:10,000\npeople from Mara Lago at the time. Did", "7\n00:00:10,000 --> 00:00:11,000\nyou know why he was taking those young", "8\n00:00:11,000 --> 00:00:13,000\nwomen, including Virginia?", "9\n00:00:13,000 --> 00:00:14,000\nNo, I didn't know. I mean, I would I", "10\n00:00:14,000 --> 00:00:16,000\nwould figure it was ABC fake news that", "11\n00:00:16,000 --> 00:00:18,000\nwould ask that question. One of the", "12\n00:00:18,000 --> 00:00:20,000\nworst. Uh, but uh, no, I don't know", "13\n00:00:20,000 --> 00:00:23,000\nreally why. Uh, but I said if he's taken", "14\n00:00:23,000 --> 00:00:26,000\nanybody from Mara Lago, he's hiring or", "15\n00:00:26,000 --> 00:00:28,000\nwhatever he's doing. I didn't like it", "16\n00:00:28,000 --> 00:00:30,000\nand we threw him out. We said we don't", "17\n00:00:30,000 --> 00:00:33,000\nwant him, you know, at the place. This", "18\n00:00:33,000 --> 00:00:35,000\nis a story that's been known for many", "19\n00:00:35,000 --> 00:00:38,000\nyears as you know. Uh, but it's uh I", "20\n00:00:38,000 --> 00:00:43,000\ndidn't like it that he was doing"]
| 306,714
|
||
They want to put me in jail, take away all government contracts from my companies, nationalize my companies, deport me as an illegal, and have me arrested because I'm apparently Putin's best friend.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| true
| true
|
["political pressure", "government contracts", "legal threats"]
|
["Putin"]
|
["Tesla"]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:01:48,000 --> 00:01:59,000
|
2025-08-02T01:19:27.933663+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
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| 0.95
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| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,800
|
|||
Charlotte's been a great growth town and as you know, it's headquarters, some of the great banks here. It's been growing over time. We actually want to be everywhere, even some places that maybe aren't growing as fast as Charlotte, but here you have schools and universities and businesses and research and that's what makes it so appealing.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| false
|
["regional growth", "bank expansion", "education", "business development"]
|
["Charlotte"]
|
["JPMorgan Chase"]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:00:06,000 --> 00:00:27,000
|
2025-08-04T01:53:24.594662+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,767
|
|||
If AI can perceive, it can reason and it can generate videos and words and images and just now with cars the path, the steering wheel path, why can't it also generate locomotion abilities and articulation abilities?
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2024-01-01
|
Nvidia
|
Jensen Huang: The Rise of Humanoid Robots and Their Impact on the Future of AI
|
https://www.youtube.com/watch?v=ftcTPAqn6B8
| true
| false
| false
|
["artificial intelligence", "robotics", "automation"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
Subscribe to our Newsletter: https://aientrepreneurs.standout.digital?utm_source=yt Subscribe for more tech insights: ...
|
2025-08-05T15:31:43.657000+00:00
|
00:00:07,000 --> 00:00:27,000
|
2025-08-05T19:24:33.076222+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 270,062
| -582
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|
["1\n00:00:00,000 --> 00:00:00,000\nThe same thing that's happening for cars", "2\n00:00:00,000 --> 00:00:02,000\nThe same thing that's happening for cars", "3\n00:00:02,000 --> 00:00:04,000\nis happening for a new industry. As I", "4\n00:00:04,000 --> 00:00:07,000\nmentioned earlier, if you can generate", "5\n00:00:07,000 --> 00:00:11,000\nvideo from prompts. If AI can perceive,", "6\n00:00:11,000 --> 00:00:14,000\nit can reason and it can generate videos", "7\n00:00:14,000 --> 00:00:17,000\nand words and images and just now with", "8\n00:00:17,000 --> 00:00:21,000\ncars the path, the steering wheel path,", "9\n00:00:21,000 --> 00:00:24,000\nwhy can't it also generate locomotion", "10\n00:00:24,000 --> 00:00:27,000\nabilities and articulation abilities? So", "11\n00:00:27,000 --> 00:00:30,000\nthat fundamental ability for AI to", "12\n00:00:30,000 --> 00:00:32,000\nrevolutionize one of the hardest", "13\n00:00:32,000 --> 00:00:35,000\nrobotics problems is around the corner.", "14\n00:00:35,000 --> 00:00:40,000\nHuman or robots are going to be a"]
| 313,378
|
|||
It's about the people, the employees, the customers, and the communities that these businesses serve.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett I Invest in the Story, and the People Behind It #warrenbuffett #billionaire #money
|
https://www.youtube.com/watch?v=ORjdKiqQLYo
| true
| false
| false
|
["business philosophy", "stakeholders", "community"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Warren Buffett doesn't just look at numbers — he looks at stories. He studies how a business was built, the character of the people ...
|
2025-08-10T08:46:06.103000+00:00
|
00:00:00,000 --> 00:00:04,000
|
2025-08-12T10:45:53.859317+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 278,904
| null | 0.91
| 0.85
| 1,698
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nabout numbers. It's about the people,", "2\n00:00:00,000 --> 00:00:02,000\nabout numbers. It's about the people,", "3\n00:00:02,000 --> 00:00:04,000\nthe employees, the customers, and the", "4\n00:00:04,000 --> 00:00:06,000\ncommunities that these businesses serve.", "5\n00:00:06,000 --> 00:00:08,000\nThe test isn't whether you get the", "6\n00:00:08,000 --> 00:00:11,000\ngreatest business idea in the world the", "7\n00:00:11,000 --> 00:00:13,000\nfirst time out. The test is whether you", "8\n00:00:13,000 --> 00:00:16,000\nkeep learning as you go along what your", "9\n00:00:16,000 --> 00:00:17,000\nstrengths are and what you can do for", "10\n00:00:17,000 --> 00:00:19,000\nyour customers, what you can bring", "11\n00:00:19,000 --> 00:00:23,000\nespecially to the party. And to do that,", "12\n00:00:23,000 --> 00:00:27,000\nuh, you need the education that that I", "13\n00:00:27,000 --> 00:00:30,000\nknow you've received, uh, through 10,000", "14\n00:00:30,000 --> 00:00:35,000\nsmall businesses, but you need a genuine", "15\n00:00:35,000 --> 00:00:40,000\na genuine desire day in day out to", "16\n00:00:40,000 --> 00:00:42,000\ndelight the customer.", "17\n00:00:42,000 --> 00:00:44,000\nFor entrepreneurs and business owners,", "18\n00:00:44,000 --> 00:00:46,000\nthis is a powerful lesson. It's a", "19\n00:00:46,000 --> 00:00:47,000\ntestament to the value of building", "20\n00:00:47,000 --> 00:00:49,000\nmeaningful relationships in the business", "21\n00:00:49,000 --> 00:00:51,000\nworld. It's a reminder that success", "22\n00:00:51,000 --> 00:00:52,000\nisn't just about what's in your bank", "23\n00:00:52,000 --> 00:00:57,000\naccount."]
| 322,015
|
|||
We provide search results for any time you type in a keyword. We as Google have crawled, we've gone out and crawled and stored billions of web pages in our index and we take the keyword and match it against web pages and rank them based on over 200 signals, things like relevance, freshness, popularity, how other people are using it.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2018-12-01
|
Alphabet Google
|
Sundar Pichai Explains Why Trump’s Photo Shows Up Under ‘Idiot’ Search
|
https://www.youtube.com/watch?v=ajkSoLax5Go
| true
| false
| false
|
["search engine", "technology", "algorithm"]
|
["Google"]
|
["Google"]
|
Google CEO Sundar Pichai answers a US Congressional question on why Donald Trump's photo appeared under the search ...
|
2025-08-11T08:01:37.490000+00:00
|
00:00:10,000 --> 00:00:33,000
|
2025-08-16T10:44:41.893719+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 284,548
| -2,445
| 1
| 0.96
| 1,492
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nIf you Google the word idiot under", "2\n00:00:00,000 --> 00:00:04,000\nIf you Google the word idiot under", "3\n00:00:04,000 --> 00:00:07,000\nimages, a picture of Donald Trump comes", "4\n00:00:07,000 --> 00:00:09,000\nup. How does search work so that that", "5\n00:00:09,000 --> 00:00:10,000\nwould occur?", "6\n00:00:10,000 --> 00:00:12,000\nWe provide search rate uh for any time", "7\n00:00:12,000 --> 00:00:15,000\nyou type in a keyword. Uh we as Google,", "8\n00:00:15,000 --> 00:00:16,000\nwe have crawled, we've gone out and", "9\n00:00:16,000 --> 00:00:19,000\ncrawled and stored billion copies of", "10\n00:00:19,000 --> 00:00:21,000\nbillions of web pages in our index and", "11\n00:00:21,000 --> 00:00:24,000\nwe take the keyword and match it against", "12\n00:00:24,000 --> 00:00:26,000\nweb pages and rank them based on over", "13\n00:00:26,000 --> 00:00:29,000\n200 signals. things like relevance,", "14\n00:00:29,000 --> 00:00:31,000\nfreshness, popularity, how other people", "15\n00:00:31,000 --> 00:00:33,000\nare using it and and based on that you", "16\n00:00:33,000 --> 00:00:35,000\nknow at any given time uh we try to rank", "17\n00:00:35,000 --> 00:00:37,000\nand find the best results for that query", "18\n00:00:37,000 --> 00:00:39,000\nand then we evaluate them with external", "19\n00:00:39,000 --> 00:00:41,000\nraiders uh to make sure that and they", "20\n00:00:41,000 --> 00:00:46,000\nevaluated to objective guidelines."]
| 327,763
|
|||
I think there's the creation of AI and it's going to be amazing and it provides enormous benefits. It's really unique. I think it's the best technology ever, different technologies because it's thinking that applies to everything.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| false
| false
|
["artificial intelligence", "technology", "innovation"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:00:05 - 00:00:29
|
2025-08-02T02:01:15.204618+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,171
|
|||
This employment report is jarring investors because it was much weaker than expected mostly because of downward revisions to previous months, causing fears of recession to surface. We have been using the phrase rolling recession for the last three years and anticipate a very strong recovery from it.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["employment report", "recession", "economic recovery"]
|
["Federal Reserve", "President Trump", "Jerome Powell"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:01:09 - 00:01:44
|
2025-08-02T02:11:23.574943+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,372
|
|||
I expect that people will spend less time on productivity software and more time creating and connecting.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "productivity", "technology impact"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:00:10,000 --> 00:00:16,000
|
2025-08-02T10:48:14.645817+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,596
|
|||
Our policy rate is now 100 basis points closer to neutral than it was a year ago, and the stability of the unemployment rate and other labor market measures allows us to proceed carefully as we consider changes to our policy stance.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| false
| true
|
["monetary policy", "interest rates", "labor market"]
|
["Federal Open Market Committee"]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:07:29,000 --> 00:07:40,000
|
2025-08-23T02:30:06.004617+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,484
|
|||
If he's taken anybody from Mara Lago, he's hiring or whatever he's doing. I didn't like it and we threw him out. We said we don't want him, you know, at the place.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump on Virginia Giuffre’s family’s statement regarding Epstein
|
https://www.youtube.com/watch?v=3SLxqyTA1Lc
| true
| true
| false
|
["Jeffrey Epstein", "Mar-a-Lago", "security"]
|
["Jeffrey Epstein"]
|
["Mar-a-Lago"]
|
The family of Virginia Giuffre, who was among Jeffrey Epstein's most well-known sex trafficking accusers, said that it was shocking ...
|
2025-08-01T00:10:05.075000+00:00
|
00:00:22,000 --> 00:00:33,000
|
2025-08-01T02:06:07.156867+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 263,777
| null | 1
| 0.95
| 1,507
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThe family of Virginia Duprey released a", "2\n00:00:00,000 --> 00:00:02,000\nThe family of Virginia Duprey released a", "3\n00:00:02,000 --> 00:00:04,000\nstatement overnight in response to some", "4\n00:00:04,000 --> 00:00:06,000\nof the comments that you made this week.", "5\n00:00:06,000 --> 00:00:07,000\nYou said that Jeffrey Epstein stole", "6\n00:00:07,000 --> 00:00:10,000\npeople from Mara Lago at the time. Did", "7\n00:00:10,000 --> 00:00:11,000\nyou know why he was taking those young", "8\n00:00:11,000 --> 00:00:13,000\nwomen, including Virginia?", "9\n00:00:13,000 --> 00:00:14,000\nNo, I didn't know. I mean, I would I", "10\n00:00:14,000 --> 00:00:16,000\nwould figure it was ABC fake news that", "11\n00:00:16,000 --> 00:00:18,000\nwould ask that question. One of the", "12\n00:00:18,000 --> 00:00:20,000\nworst. Uh, but uh, no, I don't know", "13\n00:00:20,000 --> 00:00:23,000\nreally why. Uh, but I said if he's taken", "14\n00:00:23,000 --> 00:00:26,000\nanybody from Mara Lago, he's hiring or", "15\n00:00:26,000 --> 00:00:28,000\nwhatever he's doing. I didn't like it", "16\n00:00:28,000 --> 00:00:30,000\nand we threw him out. We said we don't", "17\n00:00:30,000 --> 00:00:33,000\nwant him, you know, at the place. This", "18\n00:00:33,000 --> 00:00:35,000\nis a story that's been known for many", "19\n00:00:35,000 --> 00:00:38,000\nyears as you know. Uh, but it's uh I", "20\n00:00:38,000 --> 00:00:43,000\ndidn't like it that he was doing"]
| 306,715
|
||
My philosophy is you play to win. You don't play by half measure. I was with the team every day, seven days a week, working the early votes in Pennsylvania and other swing states. X from my perspective played a pivotal role not just in this election but in keeping the country alive.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| false
| false
|
["election strategy", "voting", "social media"]
|
["Pennsylvania", "X", "United States"]
|
["Tesla", "X"]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:00:49,000 --> 00:01:18,000
|
2025-08-02T01:19:28.175074+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,801
|
|||
A million people a day visit those branches, and I always say that people want to visit their money. They're much more advice. So in the old days used to be more transactional, but now in the average branch of a wealth manager, a mortgage person, a small business specialist, a million people a day go. So half the accounts are still open in branches, and even people who are mostly digital use a branch every now and then.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| false
|
["banking trends", "branch banking", "digital banking"]
|
[]
|
["JPMorgan Chase"]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:00:42,000 --> 00:01:06,000
|
2025-08-04T01:53:24.763410+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,768
|
|||
That fundamental ability for AI to revolutionize one of the hardest robotics problems is around the corner.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2024-01-01
|
Nvidia
|
Jensen Huang: The Rise of Humanoid Robots and Their Impact on the Future of AI
|
https://www.youtube.com/watch?v=ftcTPAqn6B8
| true
| false
| false
|
["artificial intelligence", "robotics", "technology innovation"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
Subscribe to our Newsletter: https://aientrepreneurs.standout.digital?utm_source=yt Subscribe for more tech insights: ...
|
2025-08-05T15:31:43.657000+00:00
|
00:00:30,000 --> 00:00:35,000
|
2025-08-05T19:24:33.479343+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 270,062
| -582
| 1
| 0.88
| 1,063
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThe same thing that's happening for cars", "2\n00:00:00,000 --> 00:00:02,000\nThe same thing that's happening for cars", "3\n00:00:02,000 --> 00:00:04,000\nis happening for a new industry. As I", "4\n00:00:04,000 --> 00:00:07,000\nmentioned earlier, if you can generate", "5\n00:00:07,000 --> 00:00:11,000\nvideo from prompts. If AI can perceive,", "6\n00:00:11,000 --> 00:00:14,000\nit can reason and it can generate videos", "7\n00:00:14,000 --> 00:00:17,000\nand words and images and just now with", "8\n00:00:17,000 --> 00:00:21,000\ncars the path, the steering wheel path,", "9\n00:00:21,000 --> 00:00:24,000\nwhy can't it also generate locomotion", "10\n00:00:24,000 --> 00:00:27,000\nabilities and articulation abilities? So", "11\n00:00:27,000 --> 00:00:30,000\nthat fundamental ability for AI to", "12\n00:00:30,000 --> 00:00:32,000\nrevolutionize one of the hardest", "13\n00:00:32,000 --> 00:00:35,000\nrobotics problems is around the corner.", "14\n00:00:35,000 --> 00:00:40,000\nHuman or robots are going to be a"]
| 313,379
|
|||
The test isn't whether you get the greatest business idea in the world the first time out. The test is whether you keep learning as you go along what your strengths are and what you can do for your customers.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett I Invest in the Story, and the People Behind It #warrenbuffett #billionaire #money
|
https://www.youtube.com/watch?v=ORjdKiqQLYo
| true
| false
| false
|
["entrepreneurship", "business strategy", "learning"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Warren Buffett doesn't just look at numbers — he looks at stories. He studies how a business was built, the character of the people ...
|
2025-08-10T08:46:06.103000+00:00
|
00:00:06,000 --> 00:00:17,000
|
2025-08-12T10:45:54.258525+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 278,904
| null | 0.91
| 0.85
| 1,698
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nabout numbers. It's about the people,", "2\n00:00:00,000 --> 00:00:02,000\nabout numbers. It's about the people,", "3\n00:00:02,000 --> 00:00:04,000\nthe employees, the customers, and the", "4\n00:00:04,000 --> 00:00:06,000\ncommunities that these businesses serve.", "5\n00:00:06,000 --> 00:00:08,000\nThe test isn't whether you get the", "6\n00:00:08,000 --> 00:00:11,000\ngreatest business idea in the world the", "7\n00:00:11,000 --> 00:00:13,000\nfirst time out. The test is whether you", "8\n00:00:13,000 --> 00:00:16,000\nkeep learning as you go along what your", "9\n00:00:16,000 --> 00:00:17,000\nstrengths are and what you can do for", "10\n00:00:17,000 --> 00:00:19,000\nyour customers, what you can bring", "11\n00:00:19,000 --> 00:00:23,000\nespecially to the party. And to do that,", "12\n00:00:23,000 --> 00:00:27,000\nuh, you need the education that that I", "13\n00:00:27,000 --> 00:00:30,000\nknow you've received, uh, through 10,000", "14\n00:00:30,000 --> 00:00:35,000\nsmall businesses, but you need a genuine", "15\n00:00:35,000 --> 00:00:40,000\na genuine desire day in day out to", "16\n00:00:40,000 --> 00:00:42,000\ndelight the customer.", "17\n00:00:42,000 --> 00:00:44,000\nFor entrepreneurs and business owners,", "18\n00:00:44,000 --> 00:00:46,000\nthis is a powerful lesson. It's a", "19\n00:00:46,000 --> 00:00:47,000\ntestament to the value of building", "20\n00:00:47,000 --> 00:00:49,000\nmeaningful relationships in the business", "21\n00:00:49,000 --> 00:00:51,000\nworld. It's a reminder that success", "22\n00:00:51,000 --> 00:00:52,000\nisn't just about what's in your bank", "23\n00:00:52,000 --> 00:00:57,000\naccount."]
| 322,016
|
|||
At any given time we try to rank and find the best results for that query and then we evaluate them with external raters to make sure that they are evaluated to objective guidelines.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2018-12-01
|
Alphabet Google
|
Sundar Pichai Explains Why Trump’s Photo Shows Up Under ‘Idiot’ Search
|
https://www.youtube.com/watch?v=ajkSoLax5Go
| true
| false
| false
|
["search engine", "content moderation", "technology"]
|
["Google"]
|
["Google"]
|
Google CEO Sundar Pichai answers a US Congressional question on why Donald Trump's photo appeared under the search ...
|
2025-08-11T08:01:37.490000+00:00
|
00:00:37,000 --> 00:00:46,000
|
2025-08-16T10:44:42.087975+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 284,548
| -2,445
| 1
| 0.96
| 1,492
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nIf you Google the word idiot under", "2\n00:00:00,000 --> 00:00:04,000\nIf you Google the word idiot under", "3\n00:00:04,000 --> 00:00:07,000\nimages, a picture of Donald Trump comes", "4\n00:00:07,000 --> 00:00:09,000\nup. How does search work so that that", "5\n00:00:09,000 --> 00:00:10,000\nwould occur?", "6\n00:00:10,000 --> 00:00:12,000\nWe provide search rate uh for any time", "7\n00:00:12,000 --> 00:00:15,000\nyou type in a keyword. Uh we as Google,", "8\n00:00:15,000 --> 00:00:16,000\nwe have crawled, we've gone out and", "9\n00:00:16,000 --> 00:00:19,000\ncrawled and stored billion copies of", "10\n00:00:19,000 --> 00:00:21,000\nbillions of web pages in our index and", "11\n00:00:21,000 --> 00:00:24,000\nwe take the keyword and match it against", "12\n00:00:24,000 --> 00:00:26,000\nweb pages and rank them based on over", "13\n00:00:26,000 --> 00:00:29,000\n200 signals. things like relevance,", "14\n00:00:29,000 --> 00:00:31,000\nfreshness, popularity, how other people", "15\n00:00:31,000 --> 00:00:33,000\nare using it and and based on that you", "16\n00:00:33,000 --> 00:00:35,000\nknow at any given time uh we try to rank", "17\n00:00:35,000 --> 00:00:37,000\nand find the best results for that query", "18\n00:00:37,000 --> 00:00:39,000\nand then we evaluate them with external", "19\n00:00:39,000 --> 00:00:41,000\nraiders uh to make sure that and they", "20\n00:00:41,000 --> 00:00:46,000\nevaluated to objective guidelines."]
| 327,764
|
|||
I think the developments will happen but the issue of using it well, incorporating it into our lives, incorporating it into the companies so that it is producing its benefits, I think is going to be a lot slower than ideally it could be.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| false
| false
|
["artificial intelligence", "technology adoption", "business"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:00:24 - 00:01:19
|
2025-08-02T02:01:15.453146+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,172
|
|||
The odds for a rate cut in September are up to 88%, with a 50 basis point cut maybe at 25%. If people think rates are going to come down, they will wait before making major purchases, so getting back to equilibrium is important before a strong recovery.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["interest rates", "monetary policy", "Federal Reserve"]
|
["Federal Reserve", "Jerome Powell"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:02:54 - 00:03:44
|
2025-08-02T02:11:23.630346+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,373
|
|||
Super intelligence is AI that surpasses human intelligence to solve complex problems, while personal superintelligence is using that advanced AI to make our everyday tasks easier.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "superintelligence", "technology definition"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:00:16,000 --> 00:00:27,000
|
2025-08-02T10:48:14.994678+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,597
|
|||
Higher tariffs across our trading partners are remaking the global trading system, and tighter immigration policy has led to an abrupt slowdown in labor force growth, which may have important implications for economic growth and productivity.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| false
| true
|
["trade policy", "immigration", "economic growth", "productivity"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:01:23,000 --> 00:01:44,000
|
2025-08-23T02:30:06.014348+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,485
|
|||
We're doing so well. I believe the numbers were phony just like they were before the election and there were other times. So, you know what I did? I fired her.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump fires labor stats chief after calling jobs report 'phony' #Shorts
|
https://www.youtube.com/watch?v=Skqj5gXq9SI
| true
| true
| true
|
["labor statistics", "jobs report", "government transparency"]
|
["Donald Trump"]
|
["Trump Media & Technology Group"]
|
President Trump said, without evidence, a weak jobs report was “rigged” to make him look bad. So he fired the head of labor ...
|
2025-08-01T23:32:32.127000+00:00
|
00:00:00,000 --> 00:00:08,000
|
2025-08-02T01:52:49.075606+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,230
| null | 0.93
| 0.93
| 1,437
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWe're doing so well. I believe the", "2\n00:00:00,000 --> 00:00:02,000\nWe're doing so well. I believe the", "3\n00:00:02,000 --> 00:00:04,000\nnumbers were phony just like they were", "4\n00:00:04,000 --> 00:00:06,000\nbefore the election and there were other", "5\n00:00:06,000 --> 00:00:08,000\ntimes. So, you know what I did? I fired", "6\n00:00:08,000 --> 00:00:09,000\nher.", "7\n00:00:09,000 --> 00:00:11,000\nAnd you know what? I did the right", "8\n00:00:11,000 --> 00:00:20,000\nthing.", "9\n00:00:20,000 --> 00:00:22,000\nI've got about three very good I have a", "10\n00:00:22,000 --> 00:00:24,000\nlot of good candidates. I will say", "11\n00:00:24,000 --> 00:00:26,000\neverybody wants it. I have had more", "12\n00:00:26,000 --> 00:00:28,000\nphone calls, but I have three people", "13\n00:00:28,000 --> 00:00:30,000\nthat have have a background in labor.", "14\n00:00:30,000 --> 00:00:32,000\nYou know, I could do a long-term thing", "15\n00:00:32,000 --> 00:00:35,000\nor I could do a temporary. It's a", "16\n00:00:35,000 --> 00:00:36,000\n14-year term,", "17\n00:00:36,000 --> 00:00:38,000\nright? But you put someone in who", "18\n00:00:38,000 --> 00:00:39,000\nactually has labor statistics", "19\n00:00:39,000 --> 00:00:40,000\nexperience.", "20\n00:00:40,000 --> 00:00:42,000\nI put somebody in I put somebody in", "21\n00:00:42,000 --> 00:00:47,000\nwho's going to be honest."]
| 308,100
|
||
Rachel Maddow is a crazy person. She's just a frothing at the mouth crazy fascist basically dressed as sort of pretending to be a liberal, but she's just really like... I can't imagine if she was in charge actually in a position of political power. What a nightmare that would be.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| true
| false
|
["media criticism", "political commentary"]
|
["Rachel Maddow"]
|
[]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:02:04,000 --> 00:02:37,000
|
2025-08-02T01:19:28.388239+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,802
|
|||
I think we're the number 10 bank here and our size is like, you know, we're not even 1/10 of what some of those banks do, but you know, we want to do a great job for ourselves and for our clients. Sometimes we have different products and services. We could help certain clients in India and China, maybe some other people can. So you use your strengths to do a good job for the client.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| false
|
["competition", "banking strategy", "global clients"]
|
["India", "China"]
|
["JPMorgan Chase", "Bank of America", "Wells Fargo", "Truist"]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:01:44,000 --> 00:02:05,000
|
2025-08-04T01:53:24.866189+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,769
|
|||
In the next 10 years, human generated knowledge and human generated data will probably be 1%. The vast majority of human knowledge will be generated by AI, and it will be AI generated data that other AIs learn from. It's going to be synthetic generated intelligence.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| false
| false
|
["artificial intelligence", "data generation", "technology future"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:08:01,000 --> 00:08:38,000
|
2025-08-08T10:38:03.237378+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 274,027
| -8
| 0.92
| 0.96
| 26,578
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,462
|
|||
You need a genuine desire day in day out to delight the customer.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett I Invest in the Story, and the People Behind It #warrenbuffett #billionaire #money
|
https://www.youtube.com/watch?v=ORjdKiqQLYo
| true
| false
| false
|
["customer service", "business values"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Warren Buffett doesn't just look at numbers — he looks at stories. He studies how a business was built, the character of the people ...
|
2025-08-10T08:46:06.103000+00:00
|
00:00:35,000 --> 00:00:42,000
|
2025-08-12T10:45:54.424816+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 278,904
| null | 0.91
| 0.85
| 1,698
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nabout numbers. It's about the people,", "2\n00:00:00,000 --> 00:00:02,000\nabout numbers. It's about the people,", "3\n00:00:02,000 --> 00:00:04,000\nthe employees, the customers, and the", "4\n00:00:04,000 --> 00:00:06,000\ncommunities that these businesses serve.", "5\n00:00:06,000 --> 00:00:08,000\nThe test isn't whether you get the", "6\n00:00:08,000 --> 00:00:11,000\ngreatest business idea in the world the", "7\n00:00:11,000 --> 00:00:13,000\nfirst time out. The test is whether you", "8\n00:00:13,000 --> 00:00:16,000\nkeep learning as you go along what your", "9\n00:00:16,000 --> 00:00:17,000\nstrengths are and what you can do for", "10\n00:00:17,000 --> 00:00:19,000\nyour customers, what you can bring", "11\n00:00:19,000 --> 00:00:23,000\nespecially to the party. And to do that,", "12\n00:00:23,000 --> 00:00:27,000\nuh, you need the education that that I", "13\n00:00:27,000 --> 00:00:30,000\nknow you've received, uh, through 10,000", "14\n00:00:30,000 --> 00:00:35,000\nsmall businesses, but you need a genuine", "15\n00:00:35,000 --> 00:00:40,000\na genuine desire day in day out to", "16\n00:00:40,000 --> 00:00:42,000\ndelight the customer.", "17\n00:00:42,000 --> 00:00:44,000\nFor entrepreneurs and business owners,", "18\n00:00:44,000 --> 00:00:46,000\nthis is a powerful lesson. It's a", "19\n00:00:46,000 --> 00:00:47,000\ntestament to the value of building", "20\n00:00:47,000 --> 00:00:49,000\nmeaningful relationships in the business", "21\n00:00:49,000 --> 00:00:51,000\nworld. It's a reminder that success", "22\n00:00:51,000 --> 00:00:52,000\nisn't just about what's in your bank", "23\n00:00:52,000 --> 00:00:57,000\naccount."]
| 322,017
|
|||
Not by default. There may be a Google service which you've opted into use. If so, Google knows that I am moving over there.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2018-01-01
|
Alphabet Google
|
Does Google track you 24/7? Google CEO Sundar Pichai answer.
|
https://www.youtube.com/watch?v=8JE0OBZJJkk
| true
| false
| false
|
["privacy", "data tracking", "user consent"]
|
["Sundar Pichai"]
|
["Google"]
|
Subscribe for more valuable content #shorts.
|
2025-08-21T08:01:38.404000+00:00
|
00:00:17,000 --> 00:00:27,000
|
2025-08-26T11:06:19.155144+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 298,391
| -2,789
| 1
| 0.92
| 1,738
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI have an iPhone and if I move from here", "2\n00:00:00,000 --> 00:00:03,000\nI have an iPhone and if I move from here", "3\n00:00:03,000 --> 00:00:04,000\nand go over there and sit with my", "4\n00:00:04,000 --> 00:00:06,000\nDemocrat friends, which will make them", "5\n00:00:06,000 --> 00:00:09,000\nreal nervous, does Google track my", "6\n00:00:09,000 --> 00:00:12,000\nmovement? Does Google through this phone", "7\n00:00:12,000 --> 00:00:14,000\nknow that I have moved here and moved", "8\n00:00:14,000 --> 00:00:17,000\nover to the left? It's either yes or no.", "9\n00:00:17,000 --> 00:00:19,000\nUh, not by default. There may be a", "10\n00:00:19,000 --> 00:00:21,000\nGoogle service which you've opted into", "11\n00:00:21,000 --> 00:00:22,000\nuse. Uh, and if", "12\n00:00:22,000 --> 00:00:25,000\nso, Google knows that I am moving over", "13\n00:00:25,000 --> 00:00:27,000\nthere. It's it's not a trick question.", "14\n00:00:27,000 --> 00:00:29,000\nYou know, you make a $100 million a", "15\n00:00:29,000 --> 00:00:30,000\nyear, you ought to be able to answer", "16\n00:00:30,000 --> 00:00:33,000\nthat question. Does Google know through", "17\n00:00:33,000 --> 00:00:36,000\nthis phone that I am moving over there", "18\n00:00:36,000 --> 00:00:38,000\nand sit next to Mr. Johnson? Which would", "19\n00:00:38,000 --> 00:00:40,000\nmake him real nervous? It's his", "20\n00:00:40,000 --> 00:00:41,000\nquestion. It's yes or no.", "21\n00:00:41,000 --> 00:00:42,000\nI won't be able to answer without", "22\n00:00:42,000 --> 00:00:43,000\nlooking at uh", "23\n00:00:43,000 --> 00:00:45,000\nYou can't say yes or no. uh without", "24\n00:00:45,000 --> 00:00:50,000\nknowing more details."]
| 341,009
|
|||
It could be used for wars and also it certainly will create great disruptions. I don't know that we'll be able to handle those disruptions how we do it.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| true
| false
|
["artificial intelligence", "war", "disruption", "security"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:01:24 - 00:01:38
|
2025-08-02T02:01:15.722081+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,173
|
|||
Year to date, the deficit as a percent of GDP has shrunk from roughly 7.3% to 6.2%, and with tariffs annualizing at $450 billion per year, the deficit is expected to be roughly 4.7%, which could fall to 3% by 2026, two years ahead of schedule, creating a positive backdrop for equity investors.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["fiscal policy", "deficit", "tariffs", "GDP"]
|
["Treasury Secretary Janet Yellen", "President Trump"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:06:06 - 00:07:40
|
2025-08-02T02:11:23.687249+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,374
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I think an even more meaningful impact in our lives is going to come from everyone having a personal super intelligence that helps you achieve your goals, create what you want to see in the world, be a better friend, and grow to become the person that you aspire to be.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "personal development", "technology vision"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:00:34,000 --> 00:00:48,000
|
2025-08-02T10:48:15.199788+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,598
|
|||
The effects of tariffs on consumer prices are now clearly visible, and while we expect those effects to be relatively short-lived, there is a risk that upward pressure on prices from tariffs could spur a more lasting inflation dynamic.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| true
| true
|
["tariffs", "inflation", "consumer prices"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:05:10,000 --> 00:06:06,000
|
2025-08-23T02:30:06.056267+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,486
|
|||
I've got about three very good I have a lot of good candidates. I will say everybody wants it. I have had more phone calls, but I have three people that have a background in labor.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump fires labor stats chief after calling jobs report 'phony' #Shorts
|
https://www.youtube.com/watch?v=Skqj5gXq9SI
| true
| false
| true
|
["labor statistics", "appointments", "government staffing"]
|
["Donald Trump"]
|
["Trump Media & Technology Group"]
|
President Trump said, without evidence, a weak jobs report was “rigged” to make him look bad. So he fired the head of labor ...
|
2025-08-01T23:32:32.127000+00:00
|
00:00:20,000 --> 00:00:30,000
|
2025-08-02T01:52:49.219656+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,230
| null | 0.93
| 0.93
| 1,437
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWe're doing so well. I believe the", "2\n00:00:00,000 --> 00:00:02,000\nWe're doing so well. I believe the", "3\n00:00:02,000 --> 00:00:04,000\nnumbers were phony just like they were", "4\n00:00:04,000 --> 00:00:06,000\nbefore the election and there were other", "5\n00:00:06,000 --> 00:00:08,000\ntimes. So, you know what I did? I fired", "6\n00:00:08,000 --> 00:00:09,000\nher.", "7\n00:00:09,000 --> 00:00:11,000\nAnd you know what? I did the right", "8\n00:00:11,000 --> 00:00:20,000\nthing.", "9\n00:00:20,000 --> 00:00:22,000\nI've got about three very good I have a", "10\n00:00:22,000 --> 00:00:24,000\nlot of good candidates. I will say", "11\n00:00:24,000 --> 00:00:26,000\neverybody wants it. I have had more", "12\n00:00:26,000 --> 00:00:28,000\nphone calls, but I have three people", "13\n00:00:28,000 --> 00:00:30,000\nthat have have a background in labor.", "14\n00:00:30,000 --> 00:00:32,000\nYou know, I could do a long-term thing", "15\n00:00:32,000 --> 00:00:35,000\nor I could do a temporary. It's a", "16\n00:00:35,000 --> 00:00:36,000\n14-year term,", "17\n00:00:36,000 --> 00:00:38,000\nright? But you put someone in who", "18\n00:00:38,000 --> 00:00:39,000\nactually has labor statistics", "19\n00:00:39,000 --> 00:00:40,000\nexperience.", "20\n00:00:40,000 --> 00:00:42,000\nI put somebody in I put somebody in", "21\n00:00:42,000 --> 00:00:47,000\nwho's going to be honest."]
| 308,101
|
||
We've got a gigantic government bureaucracy. We've got overregulation. You've got agencies that have overlapping responsibilities. There's something like 450 federal government agencies, almost two per year since America was founded. Basically everything's illegal. You just can't get anything done.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| true
| true
|
["government bureaucracy", "regulation", "public policy"]
|
["United States"]
|
[]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:05:28,000 --> 00:06:03,000
|
2025-08-02T01:19:28.762387+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,803
|
|||
I made a list of all the issues that are important for the health of America, not just economic but the health of America. We need to be strong for our military, for our global alliances, for the future of the free world. These are not democratic or Republican issues. What can we do to be better for our citizens and we should start doing it. I think it's more DC that needs to focus on those things than Charlotte.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| true
|
["national health", "bipartisan issues", "public policy"]
|
["United States", "Washington DC"]
|
[]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:03:50,000 --> 00:04:23,000
|
2025-08-04T01:53:24.949257+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,770
|
|||
You want the smartest friends? You want the most productive friends? Then engage AI as fast as possible because they are super smart and they are going to help you solve problems. I use multiple AIs at the same time solving the same problems and I make one judge the other to get better answers.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| false
| false
|
["artificial intelligence", "productivity", "technology adoption"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:09:00,000 --> 00:09:55,000
|
2025-08-08T10:38:03.540089+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 274,027
| -8
| 0.92
| 0.96
| 26,578
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,463
|
|||
For entrepreneurs and business owners, this is a powerful lesson. It's a testament to the value of building meaningful relationships in the business world.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett I Invest in the Story, and the People Behind It #warrenbuffett #billionaire #money
|
https://www.youtube.com/watch?v=ORjdKiqQLYo
| true
| false
| false
|
["entrepreneurship", "business relationships"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Warren Buffett doesn't just look at numbers — he looks at stories. He studies how a business was built, the character of the people ...
|
2025-08-10T08:46:06.103000+00:00
|
00:00:42,000 --> 00:00:51,000
|
2025-08-12T10:45:54.622826+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 278,904
| null | 0.91
| 0.85
| 1,698
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nabout numbers. It's about the people,", "2\n00:00:00,000 --> 00:00:02,000\nabout numbers. It's about the people,", "3\n00:00:02,000 --> 00:00:04,000\nthe employees, the customers, and the", "4\n00:00:04,000 --> 00:00:06,000\ncommunities that these businesses serve.", "5\n00:00:06,000 --> 00:00:08,000\nThe test isn't whether you get the", "6\n00:00:08,000 --> 00:00:11,000\ngreatest business idea in the world the", "7\n00:00:11,000 --> 00:00:13,000\nfirst time out. The test is whether you", "8\n00:00:13,000 --> 00:00:16,000\nkeep learning as you go along what your", "9\n00:00:16,000 --> 00:00:17,000\nstrengths are and what you can do for", "10\n00:00:17,000 --> 00:00:19,000\nyour customers, what you can bring", "11\n00:00:19,000 --> 00:00:23,000\nespecially to the party. And to do that,", "12\n00:00:23,000 --> 00:00:27,000\nuh, you need the education that that I", "13\n00:00:27,000 --> 00:00:30,000\nknow you've received, uh, through 10,000", "14\n00:00:30,000 --> 00:00:35,000\nsmall businesses, but you need a genuine", "15\n00:00:35,000 --> 00:00:40,000\na genuine desire day in day out to", "16\n00:00:40,000 --> 00:00:42,000\ndelight the customer.", "17\n00:00:42,000 --> 00:00:44,000\nFor entrepreneurs and business owners,", "18\n00:00:44,000 --> 00:00:46,000\nthis is a powerful lesson. It's a", "19\n00:00:46,000 --> 00:00:47,000\ntestament to the value of building", "20\n00:00:47,000 --> 00:00:49,000\nmeaningful relationships in the business", "21\n00:00:49,000 --> 00:00:51,000\nworld. It's a reminder that success", "22\n00:00:51,000 --> 00:00:52,000\nisn't just about what's in your bank", "23\n00:00:52,000 --> 00:00:57,000\naccount."]
| 322,018
|
|||
I won't be able to answer without looking at... You can't say yes or no without knowing more details.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2018-01-01
|
Alphabet Google
|
Does Google track you 24/7? Google CEO Sundar Pichai answer.
|
https://www.youtube.com/watch?v=8JE0OBZJJkk
| true
| false
| false
|
["privacy", "data tracking", "transparency"]
|
["Sundar Pichai"]
|
["Google"]
|
Subscribe for more valuable content #shorts.
|
2025-08-21T08:01:38.404000+00:00
|
00:00:41,000 --> 00:00:50,000
|
2025-08-26T11:06:19.291583+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 298,391
| -2,789
| 1
| 0.92
| 1,738
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI have an iPhone and if I move from here", "2\n00:00:00,000 --> 00:00:03,000\nI have an iPhone and if I move from here", "3\n00:00:03,000 --> 00:00:04,000\nand go over there and sit with my", "4\n00:00:04,000 --> 00:00:06,000\nDemocrat friends, which will make them", "5\n00:00:06,000 --> 00:00:09,000\nreal nervous, does Google track my", "6\n00:00:09,000 --> 00:00:12,000\nmovement? Does Google through this phone", "7\n00:00:12,000 --> 00:00:14,000\nknow that I have moved here and moved", "8\n00:00:14,000 --> 00:00:17,000\nover to the left? It's either yes or no.", "9\n00:00:17,000 --> 00:00:19,000\nUh, not by default. There may be a", "10\n00:00:19,000 --> 00:00:21,000\nGoogle service which you've opted into", "11\n00:00:21,000 --> 00:00:22,000\nuse. Uh, and if", "12\n00:00:22,000 --> 00:00:25,000\nso, Google knows that I am moving over", "13\n00:00:25,000 --> 00:00:27,000\nthere. It's it's not a trick question.", "14\n00:00:27,000 --> 00:00:29,000\nYou know, you make a $100 million a", "15\n00:00:29,000 --> 00:00:30,000\nyear, you ought to be able to answer", "16\n00:00:30,000 --> 00:00:33,000\nthat question. Does Google know through", "17\n00:00:33,000 --> 00:00:36,000\nthis phone that I am moving over there", "18\n00:00:36,000 --> 00:00:38,000\nand sit next to Mr. Johnson? Which would", "19\n00:00:38,000 --> 00:00:40,000\nmake him real nervous? It's his", "20\n00:00:40,000 --> 00:00:41,000\nquestion. It's yes or no.", "21\n00:00:41,000 --> 00:00:42,000\nI won't be able to answer without", "22\n00:00:42,000 --> 00:00:43,000\nlooking at uh", "23\n00:00:43,000 --> 00:00:45,000\nYou can't say yes or no. uh without", "24\n00:00:45,000 --> 00:00:50,000\nknowing more details."]
| 341,010
|
|||
It will have implications for employment. It'll radically enable and enrich many people and it will replace many people. It will be used for productivity and discovering medical treatments and the like and it will be used for wars.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| true
| true
|
["artificial intelligence", "employment", "productivity", "healthcare", "war"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:04:05 - 00:04:41
|
2025-08-02T02:01:16.154491+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,174
|
|||
The government’s share of R&D capital expenditure has dropped from roughly 65% in the 1960s to less than 25%, with the private sector now leading, especially in space and defense, which is very healthy and will lead to much more productivity growth sooner than otherwise.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["R&D spending", "private sector", "government", "productivity growth"]
|
["Silicon Valley", "government"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:07:46 - 00:09:16
|
2025-08-02T02:11:23.787127+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,375
|
|||
Major companies like Amazon and Google are already using AI assistance to help with a range of tasks from helping customers to analyzing data.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "industry adoption", "technology"]
|
["Mark Zuckerberg", "Amazon", "Google"]
|
["Meta Platforms", "Amazon", "Google"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:00:48,000 --> 00:00:56,000
|
2025-08-02T10:48:15.403514+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,599
|
|||
One possibility is that workers who see their real incomes decline because of higher prices demand and get higher wages from employers, setting off adverse wage-price dynamics; however, given that the labor market is not particularly tight and faces increasing downside risks, that outcome does not seem likely.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| true
| true
|
["wages", "inflation", "labor market"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:06:06,000 --> 00:06:26,000
|
2025-08-23T02:30:06.069651+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,487
|
|||
You know, I could do a long-term thing or I could do a temporary. It's a 14-year term, right? But you put someone in who actually has labor statistics experience.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump fires labor stats chief after calling jobs report 'phony' #Shorts
|
https://www.youtube.com/watch?v=Skqj5gXq9SI
| true
| false
| true
|
["labor statistics", "government appointments", "public policy"]
|
["Donald Trump"]
|
["Trump Media & Technology Group"]
|
President Trump said, without evidence, a weak jobs report was “rigged” to make him look bad. So he fired the head of labor ...
|
2025-08-01T23:32:32.127000+00:00
|
00:00:30,000 --> 00:00:39,000
|
2025-08-02T01:52:49.451564+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,230
| null | 0.93
| 0.93
| 1,437
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWe're doing so well. I believe the", "2\n00:00:00,000 --> 00:00:02,000\nWe're doing so well. I believe the", "3\n00:00:02,000 --> 00:00:04,000\nnumbers were phony just like they were", "4\n00:00:04,000 --> 00:00:06,000\nbefore the election and there were other", "5\n00:00:06,000 --> 00:00:08,000\ntimes. So, you know what I did? I fired", "6\n00:00:08,000 --> 00:00:09,000\nher.", "7\n00:00:09,000 --> 00:00:11,000\nAnd you know what? I did the right", "8\n00:00:11,000 --> 00:00:20,000\nthing.", "9\n00:00:20,000 --> 00:00:22,000\nI've got about three very good I have a", "10\n00:00:22,000 --> 00:00:24,000\nlot of good candidates. I will say", "11\n00:00:24,000 --> 00:00:26,000\neverybody wants it. I have had more", "12\n00:00:26,000 --> 00:00:28,000\nphone calls, but I have three people", "13\n00:00:28,000 --> 00:00:30,000\nthat have have a background in labor.", "14\n00:00:30,000 --> 00:00:32,000\nYou know, I could do a long-term thing", "15\n00:00:32,000 --> 00:00:35,000\nor I could do a temporary. It's a", "16\n00:00:35,000 --> 00:00:36,000\n14-year term,", "17\n00:00:36,000 --> 00:00:38,000\nright? But you put someone in who", "18\n00:00:38,000 --> 00:00:39,000\nactually has labor statistics", "19\n00:00:39,000 --> 00:00:40,000\nexperience.", "20\n00:00:40,000 --> 00:00:42,000\nI put somebody in I put somebody in", "21\n00:00:42,000 --> 00:00:47,000\nwho's going to be honest."]
| 308,102
|
||
I think there should be some government oversight because it affects the public. If that's the case for AI and we're only put in regulations after something terrible has happened, it may be too late to actually put the regulations in place. The AI may be in control at that point.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| false
| true
|
["AI regulation", "public safety", "government oversight"]
|
[]
|
[]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:18:46,000 --> 00:19:01,000
|
2025-08-02T01:19:29.008651+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,804
|
|||
You have to think that way like how do you compete tomorrow and don't rest on your laurels and you don't have a divine right to success. The things of success we know it's safe streets, it's great universities, it's the workforce, it's bringing in capital investments, it's consistency of law, keeping taxes very reasonable, both individual taxes and corporate taxes, affordable housing.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| true
|
["economic competitiveness", "urban development", "tax policy", "workforce"]
|
["Charlotte", "Austin", "Nashville", "Tampa"]
|
[]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:04:40,000 --> 00:05:10,000
|
2025-08-04T01:53:25.070926+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,771
|
|||
It is impossible to be a researcher, engineer, manager, or student in the future without AI. So engage AI; that's very important.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| false
| false
|
["artificial intelligence", "education", "future of work"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:09:55,000 --> 00:10:10,000
|
2025-08-08T10:38:03.820272+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 274,027
| -8
| 0.92
| 0.96
| 26,578
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,464
|
|||
Success isn't just about what's in your bank account.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett I Invest in the Story, and the People Behind It #warrenbuffett #billionaire #money
|
https://www.youtube.com/watch?v=ORjdKiqQLYo
| true
| false
| true
|
["success", "business philosophy", "finance"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Warren Buffett doesn't just look at numbers — he looks at stories. He studies how a business was built, the character of the people ...
|
2025-08-10T08:46:06.103000+00:00
|
00:00:51,000 --> 00:00:57,000
|
2025-08-12T10:45:54.729565+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 278,904
| null | 0.91
| 0.85
| 1,698
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nabout numbers. It's about the people,", "2\n00:00:00,000 --> 00:00:02,000\nabout numbers. It's about the people,", "3\n00:00:02,000 --> 00:00:04,000\nthe employees, the customers, and the", "4\n00:00:04,000 --> 00:00:06,000\ncommunities that these businesses serve.", "5\n00:00:06,000 --> 00:00:08,000\nThe test isn't whether you get the", "6\n00:00:08,000 --> 00:00:11,000\ngreatest business idea in the world the", "7\n00:00:11,000 --> 00:00:13,000\nfirst time out. The test is whether you", "8\n00:00:13,000 --> 00:00:16,000\nkeep learning as you go along what your", "9\n00:00:16,000 --> 00:00:17,000\nstrengths are and what you can do for", "10\n00:00:17,000 --> 00:00:19,000\nyour customers, what you can bring", "11\n00:00:19,000 --> 00:00:23,000\nespecially to the party. And to do that,", "12\n00:00:23,000 --> 00:00:27,000\nuh, you need the education that that I", "13\n00:00:27,000 --> 00:00:30,000\nknow you've received, uh, through 10,000", "14\n00:00:30,000 --> 00:00:35,000\nsmall businesses, but you need a genuine", "15\n00:00:35,000 --> 00:00:40,000\na genuine desire day in day out to", "16\n00:00:40,000 --> 00:00:42,000\ndelight the customer.", "17\n00:00:42,000 --> 00:00:44,000\nFor entrepreneurs and business owners,", "18\n00:00:44,000 --> 00:00:46,000\nthis is a powerful lesson. It's a", "19\n00:00:46,000 --> 00:00:47,000\ntestament to the value of building", "20\n00:00:47,000 --> 00:00:49,000\nmeaningful relationships in the business", "21\n00:00:49,000 --> 00:00:51,000\nworld. It's a reminder that success", "22\n00:00:51,000 --> 00:00:52,000\nisn't just about what's in your bank", "23\n00:00:52,000 --> 00:00:57,000\naccount."]
| 322,019
|
|||
I feel like this is the main thing I did as a CEO setting up the company is to really be at the forefront of AI when I look at the depth and breadth of what we are doing as a company across everything we are doing on multiple fronts.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2023-05-01
|
Alphabet Google
|
how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration
|
https://www.youtube.com/watch?v=aSkNd1-Jy2k
| true
| false
| false
|
["artificial intelligence", "company strategy", "technology leadership"]
|
["Sundar Pichai"]
|
["Google"]
|
Hi Viewers, how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration. Learn how Google CEO Sundar Pichai makes ...
|
2025-08-27T08:01:30.352000+00:00
|
00:00:00,000 --> 00:00:15,000
|
2025-09-01T10:30:32.766032+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 307,197
| -849
| 0.9
| 0.94
| 2,229
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI feel like this is the the main thing I", "2\n00:00:00,000 --> 00:00:03,000\nI feel like this is the the main thing I", "3\n00:00:03,000 --> 00:00:04,000\ndid as a CEO setting up the company is", "4\n00:00:04,000 --> 00:00:08,000\nto really be at the forefront of uh AI", "5\n00:00:08,000 --> 00:00:10,000\nwhen I look at the depth and breadth of", "6\n00:00:10,000 --> 00:00:12,000\nwhat we are doing as a company across", "7\n00:00:12,000 --> 00:00:13,000\neverything we are doing on multiple", "8\n00:00:13,000 --> 00:00:15,000\nfronts. I think we are incredibly well", "9\n00:00:15,000 --> 00:00:17,000\npositioned but definitely you know", "10\n00:00:17,000 --> 00:00:18,000\nthrough this moment you know it's a", "11\n00:00:18,000 --> 00:00:19,000\nmoment in which we realize it's a moment", "12\n00:00:19,000 --> 00:00:22,000\nto accelerate at scale what we are doing", "13\n00:00:22,000 --> 00:00:24,000\nand that involve you know think stepping", "14\n00:00:24,000 --> 00:00:25,000\nback and thinking about how you can make", "15\n00:00:25,000 --> 00:00:28,000\nthe company work faster uh setting up", "16\n00:00:28,000 --> 00:00:30,000\nGoogle deep mind uh bringing uh bringing", "17\n00:00:30,000 --> 00:00:33,000\nour best teams into one one team scaling", "18\n00:00:33,000 --> 00:00:35,000\nup our AI infrastructure you know our", "19\n00:00:35,000 --> 00:00:37,000\ncapex of 75 billion that was $20 billion", "20\n00:00:37,000 --> 00:00:39,000\na few years ago so we dramatically", "21\n00:00:39,000 --> 00:00:41,000\nscaling up our infrastructure so you're", "22\n00:00:41,000 --> 00:00:43,000\nyou're undertaking these big bets way", "23\n00:00:43,000 --> 00:00:44,000\nmore People are talking about it now but", "24\n00:00:44,000 --> 00:00:46,000\n3 years ago people were very pessimistic", "25\n00:00:46,000 --> 00:00:48,000\non it. I increased our investment in way", "26\n00:00:48,000 --> 00:00:50,000\nmore at that time. So like you know so", "27\n00:00:50,000 --> 00:00:52,000\nyou are making decisions not based on", "28\n00:00:52,000 --> 00:00:53,000\nwhat people are currently saying at any", "29\n00:00:53,000 --> 00:00:58,000\ngiven moment but with the long-term"]
| 348,954
|
|||
I think the most important thing over time is how people deal with each other. Can we solve our problems together? If you don't do it together you're going to be at each other's throats and you won't solve the problems.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| false
| false
|
["human nature", "collaboration", "social cohesion"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:02:52 - 00:03:24
|
2025-08-02T02:01:16.316308+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,175
|
|||
The new tax package allows structures to be expensed in year one, a change that has never happened before, aiming to attract more manufacturing back to the United States, which will be more highly automated but beneficial for productivity thanks to automation and AI.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["tax policy", "manufacturing", "automation", "AI"]
|
["President Trump"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:09:22 - 00:11:18
|
2025-08-02T02:11:23.927036+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,376
|
|||
Walmart recently launched its AI shopping assistant Sparky, which can summarize reviews and offer recommendations.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "retail technology", "AI assistants"]
|
["Mark Zuckerberg", "Walmart"]
|
["Meta Platforms", "Walmart"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:00:56,000 --> 00:01:02,000
|
2025-08-02T10:48:15.634326+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,600
|
|||
Inflation has been above our target for more than four years and remains a prominent concern for households and businesses, but measures of longer-term inflation expectations appear to remain well anchored and consistent with our longer-run inflation objective of 2%.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| false
| true
|
["inflation", "inflation expectations", "monetary policy"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:06:33,000 --> 00:06:54,000
|
2025-08-23T02:30:06.082639+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,488
|
|||
I put somebody in who's going to be honest.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump fires labor stats chief after calling jobs report 'phony' #Shorts
|
https://www.youtube.com/watch?v=Skqj5gXq9SI
| true
| true
| true
|
["government transparency", "labor statistics", "public trust"]
|
["Donald Trump"]
|
["Trump Media & Technology Group"]
|
President Trump said, without evidence, a weak jobs report was “rigged” to make him look bad. So he fired the head of labor ...
|
2025-08-01T23:32:32.127000+00:00
|
00:00:40,000 --> 00:00:47,000
|
2025-08-02T01:52:49.664901+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,230
| null | 0.93
| 0.93
| 1,437
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWe're doing so well. I believe the", "2\n00:00:00,000 --> 00:00:02,000\nWe're doing so well. I believe the", "3\n00:00:02,000 --> 00:00:04,000\nnumbers were phony just like they were", "4\n00:00:04,000 --> 00:00:06,000\nbefore the election and there were other", "5\n00:00:06,000 --> 00:00:08,000\ntimes. So, you know what I did? I fired", "6\n00:00:08,000 --> 00:00:09,000\nher.", "7\n00:00:09,000 --> 00:00:11,000\nAnd you know what? I did the right", "8\n00:00:11,000 --> 00:00:20,000\nthing.", "9\n00:00:20,000 --> 00:00:22,000\nI've got about three very good I have a", "10\n00:00:22,000 --> 00:00:24,000\nlot of good candidates. I will say", "11\n00:00:24,000 --> 00:00:26,000\neverybody wants it. I have had more", "12\n00:00:26,000 --> 00:00:28,000\nphone calls, but I have three people", "13\n00:00:28,000 --> 00:00:30,000\nthat have have a background in labor.", "14\n00:00:30,000 --> 00:00:32,000\nYou know, I could do a long-term thing", "15\n00:00:32,000 --> 00:00:35,000\nor I could do a temporary. It's a", "16\n00:00:35,000 --> 00:00:36,000\n14-year term,", "17\n00:00:36,000 --> 00:00:38,000\nright? But you put someone in who", "18\n00:00:38,000 --> 00:00:39,000\nactually has labor statistics", "19\n00:00:39,000 --> 00:00:40,000\nexperience.", "20\n00:00:40,000 --> 00:00:42,000\nI put somebody in I put somebody in", "21\n00:00:42,000 --> 00:00:47,000\nwho's going to be honest."]
| 308,103
|
||
The rise of AI isn't linear. It's accelerating at a hyper exponential rate, quietly embedding itself into our culture, our media, and soon our very decisions.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| false
| false
|
["artificial intelligence", "technology impact", "society"]
|
[]
|
[]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:13:10,000 --> 00:13:19,000
|
2025-08-02T01:19:29.142530+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,805
|
|||
I think having a very stable competitive tax system is critical for long term health of America. I would give them credit for that. I think the deregulatory agenda I'd give him credit for. We've been adding rules and regulations. Any small business person, large business person, university, restaurants, they all know it's unbelievable and it slows down growth, it slows down investment, and very importantly it hurts lower paid people more almost all the time.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| true
| true
|
["tax policy", "deregulation", "economic growth", "income inequality"]
|
["United States"]
|
[]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:06:49,000 --> 00:07:15,000
|
2025-08-04T01:53:25.173087+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,772
|
|||
The American dream is a delicate combination that depends on many things working together. I really hate to see us squander that. We need to protect the opportunities for immigrants and Americans alike.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| false
| false
|
["American dream", "immigration", "social policy"]
|
["Jensen Huang"]
|
[]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:12:59,000 --> 00:14:01,000
|
2025-08-08T10:38:03.966177+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 274,027
| -8
| 0.92
| 0.96
| 26,578
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,465
|
|||
You can use leverage and it's the only way a smart guy can go broke. I mean it basically is if you owe money you can't pay tomorrow. If you just pay for everything and you do smart things eventually get very rich.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett on the Danger of Leverage
|
https://www.youtube.com/watch?v=-WSQHndp1wQ
| true
| false
| true
|
["leverage", "finance", "risk management", "wealth building"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Learn why Warren Buffett warns against using leverage and how one mistake can erase all your gains. Discover his timeless ...
|
2025-08-08T08:44:21.378000+00:00
|
00:00:00,000 --> 00:00:15,000
|
2025-08-14T10:37:00.290072+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 282,186
| null | 0.9
| 0.9
| 594
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nYou can use leverage and it's the only", "2\n00:00:00,000 --> 00:00:02,000\nYou can use leverage and it's the only", "3\n00:00:02,000 --> 00:00:04,000\nway a smart guy can go broke. I mean it", "4\n00:00:04,000 --> 00:00:05,000\nbasically is if if you owe money you", "5\n00:00:05,000 --> 00:00:07,000\ncan't pay tomorrow. If you just pay for", "6\n00:00:07,000 --> 00:00:08,000\neverything and you do smart things", "7\n00:00:08,000 --> 00:00:10,000\neventually get very rich. You can do", "8\n00:00:10,000 --> 00:00:15,000\nsmart things and use leverage."]
| 325,158
|
|||
Through this moment you know it's a moment in which we realize it's a moment to accelerate at scale what we are doing and that involve you know think stepping back and thinking about how you can make the company work faster.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2023-05-01
|
Alphabet Google
|
how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration
|
https://www.youtube.com/watch?v=aSkNd1-Jy2k
| true
| false
| false
|
["business acceleration", "company efficiency", "strategic decision making"]
|
["Sundar Pichai"]
|
["Google"]
|
Hi Viewers, how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration. Learn how Google CEO Sundar Pichai makes ...
|
2025-08-27T08:01:30.352000+00:00
|
00:00:17,000 --> 00:00:28,000
|
2025-09-01T10:30:33.066911+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 307,197
| -849
| 0.9
| 0.94
| 2,229
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI feel like this is the the main thing I", "2\n00:00:00,000 --> 00:00:03,000\nI feel like this is the the main thing I", "3\n00:00:03,000 --> 00:00:04,000\ndid as a CEO setting up the company is", "4\n00:00:04,000 --> 00:00:08,000\nto really be at the forefront of uh AI", "5\n00:00:08,000 --> 00:00:10,000\nwhen I look at the depth and breadth of", "6\n00:00:10,000 --> 00:00:12,000\nwhat we are doing as a company across", "7\n00:00:12,000 --> 00:00:13,000\neverything we are doing on multiple", "8\n00:00:13,000 --> 00:00:15,000\nfronts. I think we are incredibly well", "9\n00:00:15,000 --> 00:00:17,000\npositioned but definitely you know", "10\n00:00:17,000 --> 00:00:18,000\nthrough this moment you know it's a", "11\n00:00:18,000 --> 00:00:19,000\nmoment in which we realize it's a moment", "12\n00:00:19,000 --> 00:00:22,000\nto accelerate at scale what we are doing", "13\n00:00:22,000 --> 00:00:24,000\nand that involve you know think stepping", "14\n00:00:24,000 --> 00:00:25,000\nback and thinking about how you can make", "15\n00:00:25,000 --> 00:00:28,000\nthe company work faster uh setting up", "16\n00:00:28,000 --> 00:00:30,000\nGoogle deep mind uh bringing uh bringing", "17\n00:00:30,000 --> 00:00:33,000\nour best teams into one one team scaling", "18\n00:00:33,000 --> 00:00:35,000\nup our AI infrastructure you know our", "19\n00:00:35,000 --> 00:00:37,000\ncapex of 75 billion that was $20 billion", "20\n00:00:37,000 --> 00:00:39,000\na few years ago so we dramatically", "21\n00:00:39,000 --> 00:00:41,000\nscaling up our infrastructure so you're", "22\n00:00:41,000 --> 00:00:43,000\nyou're undertaking these big bets way", "23\n00:00:43,000 --> 00:00:44,000\nmore People are talking about it now but", "24\n00:00:44,000 --> 00:00:46,000\n3 years ago people were very pessimistic", "25\n00:00:46,000 --> 00:00:48,000\non it. I increased our investment in way", "26\n00:00:48,000 --> 00:00:50,000\nmore at that time. So like you know so", "27\n00:00:50,000 --> 00:00:52,000\nyou are making decisions not based on", "28\n00:00:52,000 --> 00:00:53,000\nwhat people are currently saying at any", "29\n00:00:53,000 --> 00:00:58,000\ngiven moment but with the long-term"]
| 348,955
|
|||
I think we have a human nature problem. Whether we call it karma or spirituality, can we make the collective good or does the individual fighting for self-interest get such that the collective is bad because everybody's fighting for self-interest and they don't smartly work things out?
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| true
| false
|
["human nature", "collective good", "self-interest", "social dynamics"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:08:44 - 00:09:25
|
2025-08-02T02:01:16.544217+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,176
|
|||
Incorporating the new expensing rules, the US corporate tax rate will effectively fall to the 12 to 14% range, comparable to Ireland’s 12.5% rate that attracted manufacturing, which is significant for US competitiveness.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["corporate tax", "tax policy", "competitiveness"]
|
["Ireland", "US Treasury"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:11:32 - 00:12:10
|
2025-08-02T02:11:24.076783+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,377
|
|||
Personal superintelligence would take technology a step further with the ability to remember your wedding anniversary and plan a celebration for you, map out a year-long wellness regimen to get you in shape, and even write you a business plan in minutes.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "personal assistants", "technology future"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:01:04,000 --> 00:01:19,000
|
2025-08-02T10:48:15.788163+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,601
|
|||
We removed language indicating that the effective lower bound was a defining feature of the economic landscape and returned to a framework of flexible inflation targeting, eliminating the makeup strategy because the idea of an intentional moderate inflation overshoot proved irrelevant.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| true
| true
|
["monetary policy framework", "inflation targeting", "effective lower bound"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:13:58,000 --> 00:15:02,000
|
2025-08-23T02:30:06.089857+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
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|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,489
|
|||
I said if he's taken anybody from Mar a Lago, he's hiring or whatever he's doing. I didn't like it. And we threw him out. We said we don't want him, you know, at the place. This is a story that's been known for many years. As you know, but it’s I didn't like it that he was doing that.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
Trump makes new comment on Epstein as Virginia Giuffre's family decries Maxwell pardon possibility
|
https://www.youtube.com/watch?v=XzSxOJpL_V0
| true
| true
| false
|
["Jeffrey Epstein", "Mar-a-Lago", "sex abuse allegations"]
|
["Jeffrey Epstein", "Virginia Giuffre"]
|
["Trump Media & Technology Group", "Mar-a-Lago"]
|
President Trump made further comments about Jeffrey Epstein and Virginia Giuffre's time at Mar-a-Lago. CBS News' Scott ...
|
2025-08-01T17:32:32.127000+00:00
|
00:02:01,000 --> 00:02:21,000
|
2025-08-02T01:52:35.540542+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,231
| null | 0.95
| 0.92
| 7,265
| true
|
["1\n00:00:01,000 --> 00:00:01,000\nADDITIONAL $300 PER MONTH. ALL", "2\n00:00:01,000 --> 00:00:03,000\nADDITIONAL $300 PER MONTH. ALL", "3\n00:00:03,000 --> 00:00:07,000\nRIGHT. NOW TO THIS, THE FAMILY", "4\n00:00:07,000 --> 00:00:09,000\nOF JEFFREY EPSTEIN SEX ABUSE", "5\n00:00:09,000 --> 00:00:11,000\nVICTIM VIRGINIA GIUFFRE SAYS", "6\n00:00:11,000 --> 00:00:13,000\nTHEY ARE JUST STUNNED BY RECENT", "7\n00:00:13,000 --> 00:00:14,000\nCOMMENTS FROM PRESIDENT TRUMP.", "8\n00:00:14,000 --> 00:00:15,000\nYOU MAY REMEMBER THE PRESIDENT", "9\n00:00:15,000 --> 00:00:18,000\nSAID HE HAD A FALLING OUT WITH", "10\n00:00:18,000 --> 00:00:20,000\nEPSTEIN AFTER HE SAID EPSTEIN", "11\n00:00:20,000 --> 00:00:21,000\nSTOLE VIRGINIA GIUFFRE, WHO", "12\n00:00:21,000 --> 00:00:22,000\nWORKED AT HIS SPA AT MAR-A-LAGO.", "13\n00:00:22,000 --> 00:00:25,000\nWELL, NOW HER SIBLINGS SAY THEY", "14\n00:00:25,000 --> 00:00:28,000\nWANT TO KNOW WHAT THE PRESIDENT", "15\n00:00:28,000 --> 00:00:31,000\nKNEW AND WHEN ABOUT EPSTEIN'S", "16\n00:00:31,000 --> 00:00:31,000\nSEX CRIMES.", "17\n00:00:31,000 --> 00:00:32,000\n>> I THINK.", "18\n00:00:32,000 --> 00:00:34,000\n>> WE WERE SHOCKED.", "19\n00:00:34,000 --> 00:00:37,000\n>> BY IT.", "20\n00:00:37,000 --> 00:00:38,000\n>> ESPECIALLY THE USE OF THE", "21\n00:00:38,000 --> 00:00:44,000\nTERM STOLEN. BECAUSE SHE'S NOT", "22\n00:00:44,000 --> 00:00:49,000\nAN OBJECT, SHE'S A PERSON. SHE", "23\n00:00:49,000 --> 00:00:50,000\nWAS RECRUITED BY MAXWELL. SHE", "24\n00:00:50,000 --> 00:00:52,000\nWASN'T STOLEN. SHE WAS", "25\n00:00:52,000 --> 00:00:53,000\nRECRUITED.", "26\n00:00:53,000 --> 00:00:55,000\n>> CBS NEWS JUSTICE", "27\n00:00:55,000 --> 00:00:56,000\nCORRESPONDENT SCOTT MACFARLANE", "28\n00:00:56,000 --> 00:00:58,000\nIS FOLLOWING ALL OF THIS. SCOTT,", "29\n00:00:58,000 --> 00:00:59,000\nTHAT'S TOUGH TO LISTEN TO. WHY", "30\n00:00:59,000 --> 00:01:03,000\nIS THE FAMILY CHOOSING TO SPEAK", "31\n00:01:03,000 --> 00:01:04,000\nOUT NOW SO PUBLICLY? AND WHAT IS", "32\n00:01:04,000 --> 00:01:08,000\nIT THEY WANT ADDRESSED?", "33\n00:01:08,000 --> 00:01:09,000\n>> VIRGINIA GIUFFRE'S NAME HAS", "34\n00:01:09,000 --> 00:01:11,000\nBECOME PART OF THE POLITICAL", "35\n00:01:11,000 --> 00:01:13,000\nDIALOG THIS WEEK, AS THIS", "36\n00:01:13,000 --> 00:01:14,000\nEPSTEIN CONTROVERSY CONTINUES TO", "37\n00:01:14,000 --> 00:01:17,000\nENGULF THE WHITE HOUSE. SEVERAL", "38\n00:01:17,000 --> 00:01:18,000\nMONTHS AFTER GIUFFRE'S DEATH,", "39\n00:01:18,000 --> 00:01:19,000\nTHE PRESIDENT, IF HE IS TRYING", "40\n00:01:19,000 --> 00:01:21,000\nTO TURN THE PAGE ON THIS EPSTEIN", "41\n00:01:21,000 --> 00:01:23,000\nCONTROVERSY, HAS INSTEAD GIVEN", "42\n00:01:23,000 --> 00:01:26,000\nIT NEW MOMENTUM BY TALKING ABOUT", "43\n00:01:26,000 --> 00:01:28,000\nARGUABLY THE MOST VISIBLE AND", "44\n00:01:28,000 --> 00:01:30,000\nVOCAL OF JEFFREY EPSTEIN'S", "45\n00:01:30,000 --> 00:01:31,000\nVICTIMS. VIRGINIA GIUFFRE. USING", "46\n00:01:31,000 --> 00:01:34,000\nTHAT PHRASE THAT EPSTEIN STOLE", "47\n00:01:34,000 --> 00:01:37,000\nGIUFFRE FROM TRUMP'S MAR-A-LAGO", "48\n00:01:37,000 --> 00:01:38,000\nRESORT MANY YEARS AGO. THAT TYPE", "49\n00:01:38,000 --> 00:01:40,000\nOF WORD CHOICE IN THE CONTEXT OF", "50\n00:01:40,000 --> 00:01:42,000\nSEX TRAFFICKING AND SEX ABUSE", "51\n00:01:42,000 --> 00:01:43,000\nVICTIMS IS A TRIGGER TO ANY", "52\n00:01:43,000 --> 00:01:45,000\nNUMBER OF PEOPLE, INCLUDING", "53\n00:01:45,000 --> 00:01:46,000\nGIUFFRE'S FAMILY. THE PRESIDENT", "54\n00:01:46,000 --> 00:01:51,000\nWAS ASKED ON THURSDAY ABOUT THIS", "55\n00:01:51,000 --> 00:01:53,000\nISSUE ABOUT THE USE OF THE WORD", "56\n00:01:53,000 --> 00:01:54,000\nSTOLE AND ABOUT GIUFFRE. TAKE A", "57\n00:01:54,000 --> 00:02:01,000\nLISTEN TO WHAT HE SAID.", "58\n00:02:01,000 --> 00:02:03,000\n>> I SAID IF HE'S TAKEN ANYBODY", "59\n00:02:03,000 --> 00:02:05,000\nFROM MAR A LAGO, HE'S HIRING OR", "60\n00:02:05,000 --> 00:02:06,000\nWHATEVER HE'S DOING. I DIDN'T", "61\n00:02:06,000 --> 00:02:08,000\nLIKE IT. AND WE THREW HIM OUT.", "62\n00:02:08,000 --> 00:02:10,000\nWE SAID WE DON'T WANT HIM, YOU", "63\n00:02:10,000 --> 00:02:12,000\nKNOW, AT THE PLACE. THIS IS A", "64\n00:02:12,000 --> 00:02:13,000\nSTORY THAT'S BEEN KNOWN FOR", "65\n00:02:13,000 --> 00:02:16,000\nMANY YEARS. AS YOU KNOW, BUT", "66\n00:02:16,000 --> 00:02:17,000\nIT'S I DIDN'T LIKE IT THAT HE", "67\n00:02:17,000 --> 00:02:21,000\nWAS DOING THAT.", "68\n00:02:21,000 --> 00:02:23,000\n>> AS THEY SPOKE WITH MEDIA", "69\n00:02:23,000 --> 00:02:25,000\nTHURSDAY NIGHT. GIUFFRE'S FAMILY", "70\n00:02:25,000 --> 00:02:27,000\nALSO TALKED ABOUT THIS PROSPECT,", "71\n00:02:27,000 --> 00:02:29,000\nTHIS POSSIBILITY THAT GHISLAINE", "72\n00:02:29,000 --> 00:02:30,000\nMAXWELL, EPSTEIN'S", "73\n00:02:30,000 --> 00:02:31,000\nCOCONSPIRATOR, COULD BE", "74\n00:02:31,000 --> 00:02:33,000\nPARDONED. AND THAT'S AN ISSUE", "75\n00:02:33,000 --> 00:02:34,000\nTHAT'S GOING TO LOOM UNTIL THE"
| 308,082
|
||
My top concern for AI safety is that we need to have a maximally truth-seeking AI. This is the most important thing for AI safety in my opinion.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| false
| false
|
["AI safety", "truth-seeking AI", "technology ethics"]
|
[]
|
[]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:12:00,000 --> 00:12:09,000
|
2025-08-02T01:19:29.351451+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,806
|
|||
People think that some de-reg is gonna help the rich guys and help the big companies. They're kind of making a mistake. It'll actually create more jobs, better paying jobs, more capital investment, more work skills, and we have a lot to do to do that, but those things actually work.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| true
| true
|
["deregulation", "job creation", "economic policy"]
|
["United States"]
|
[]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:07:15,000 --> 00:07:29,000
|
2025-08-04T01:53:25.248778+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,773
|
|||
Competition between China and the United States is great, but conflict is less good. We need to be careful that competition doesn't change social attitudes about Chinese people in America. We must separate countries and governments from individuals pursuing the American dream.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| true
| false
|
["international relations", "US-China relations", "social cohesion"]
|
["Jensen Huang", "China", "United States"]
|
[]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:14:53,000 --> 00:16:07,000
|
2025-08-08T10:38:04.111199+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
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NVDA
| 274,027
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|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,466
|
|||
I've told students if when they got out of school they got a punch card with 20 punches on it and that's all the investment decisions they got to make in their entire life, they would get very rich because they would think very hard about each one.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett | Best Advice Ever #warrenbuffet #investment #advice #mindset #inspiration
|
https://www.youtube.com/watch?v=NOKpz8Y9vfQ
| true
| false
| true
|
["investment strategy", "financial advice", "decision making"]
|
[]
|
["Berkshire Hathaway"]
| null |
2025-08-14T17:12:20.311000+00:00
|
00:00:00,000 --> 00:00:15,000
|
2025-08-21T19:23:58.028212+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 291,784
| null | 0.88
| 0.88
| 761
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI've told students if when they got out", "2\n00:00:00,000 --> 00:00:02,000\nI've told students if when they got out", "3\n00:00:02,000 --> 00:00:05,000\nof school they got a punch card with 20", "4\n00:00:05,000 --> 00:00:07,000\npunches on it and that's all the", "5\n00:00:07,000 --> 00:00:08,000\ninvestment decisions they got to make in", "6\n00:00:08,000 --> 00:00:11,000\ntheir entire life, they would get very", "7\n00:00:11,000 --> 00:00:12,000\nrich because they would think very hard", "8\n00:00:12,000 --> 00:00:15,000\nabout each one. And you don't need 20", "9\n00:00:15,000 --> 00:00:17,000\nright decisions to get very rich. you", "10\n00:00:17,000 --> 00:00:22,000\nknow is four or five will probably do it"]
| 333,888
|
|||
Setting up Google DeepMind, bringing our best teams into one team, scaling up our AI infrastructure, you know our capex of 75 billion that was $20 billion a few years ago so we dramatically scaling up our infrastructure.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2023-05-01
|
Alphabet Google
|
how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration
|
https://www.youtube.com/watch?v=aSkNd1-Jy2k
| true
| false
| true
|
["capital expenditure", "AI infrastructure", "corporate investment"]
|
["Sundar Pichai"]
|
["Google", "Google DeepMind"]
|
Hi Viewers, how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration. Learn how Google CEO Sundar Pichai makes ...
|
2025-08-27T08:01:30.352000+00:00
|
00:00:28,000 --> 00:00:41,000
|
2025-09-01T10:30:33.404343+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
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| -849
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| 2,229
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI feel like this is the the main thing I", "2\n00:00:00,000 --> 00:00:03,000\nI feel like this is the the main thing I", "3\n00:00:03,000 --> 00:00:04,000\ndid as a CEO setting up the company is", "4\n00:00:04,000 --> 00:00:08,000\nto really be at the forefront of uh AI", "5\n00:00:08,000 --> 00:00:10,000\nwhen I look at the depth and breadth of", "6\n00:00:10,000 --> 00:00:12,000\nwhat we are doing as a company across", "7\n00:00:12,000 --> 00:00:13,000\neverything we are doing on multiple", "8\n00:00:13,000 --> 00:00:15,000\nfronts. I think we are incredibly well", "9\n00:00:15,000 --> 00:00:17,000\npositioned but definitely you know", "10\n00:00:17,000 --> 00:00:18,000\nthrough this moment you know it's a", "11\n00:00:18,000 --> 00:00:19,000\nmoment in which we realize it's a moment", "12\n00:00:19,000 --> 00:00:22,000\nto accelerate at scale what we are doing", "13\n00:00:22,000 --> 00:00:24,000\nand that involve you know think stepping", "14\n00:00:24,000 --> 00:00:25,000\nback and thinking about how you can make", "15\n00:00:25,000 --> 00:00:28,000\nthe company work faster uh setting up", "16\n00:00:28,000 --> 00:00:30,000\nGoogle deep mind uh bringing uh bringing", "17\n00:00:30,000 --> 00:00:33,000\nour best teams into one one team scaling", "18\n00:00:33,000 --> 00:00:35,000\nup our AI infrastructure you know our", "19\n00:00:35,000 --> 00:00:37,000\ncapex of 75 billion that was $20 billion", "20\n00:00:37,000 --> 00:00:39,000\na few years ago so we dramatically", "21\n00:00:39,000 --> 00:00:41,000\nscaling up our infrastructure so you're", "22\n00:00:41,000 --> 00:00:43,000\nyou're undertaking these big bets way", "23\n00:00:43,000 --> 00:00:44,000\nmore People are talking about it now but", "24\n00:00:44,000 --> 00:00:46,000\n3 years ago people were very pessimistic", "25\n00:00:46,000 --> 00:00:48,000\non it. I increased our investment in way", "26\n00:00:48,000 --> 00:00:50,000\nmore at that time. So like you know so", "27\n00:00:50,000 --> 00:00:52,000\nyou are making decisions not based on", "28\n00:00:52,000 --> 00:00:53,000\nwhat people are currently saying at any", "29\n00:00:53,000 --> 00:00:58,000\ngiven moment but with the long-term"]
| 348,956
|
|||
Throughout history, peace has ebbed and flowed mostly. You get peace during prosperous times. But when you get a lack of prosperity, you have horrendous brutality and wars that we see in varying places.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| false
| true
|
["history", "peace", "prosperity", "conflict"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:09:30 - 00:10:02
|
2025-08-02T02:01:16.807159+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
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| 17,878
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|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,177
|
|||
The Federal Reserve’s monetary policy is currently restrictive, with the 2-year Treasury yield less the 3-month yield below zero, a condition that has historically preceded recessions, but we have been lucky to avoid a full-blown recession so far.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["monetary policy", "yield curve", "recession risk"]
|
["Federal Reserve"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:15:04 - 00:15:54
|
2025-08-02T02:11:24.142944+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,378
|
|||
AI glasses will one day become our main computing device.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "wearable technology", "future devices"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:01:19,000 --> 00:01:22,000
|
2025-08-02T10:48:15.930049+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,602
|
|||
Our revised statement emphasizes our commitment to act forcefully to ensure that longer-term inflation expectations remain well anchored to the benefit of both sides of our dual mandate.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| false
| true
|
["inflation expectations", "dual mandate", "monetary policy"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:15:28,000 --> 00:15:41,000
|
2025-08-23T02:30:06.111929+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,490
|
|||
When you look at those numbers before the election, the same kind of thing happened, and I think you'll see some very interesting information come out. We got to have honest reports.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump takes questions from reporters at White House ahead of New Jersey trip
|
https://www.youtube.com/watch?v=whGzRaDBJa8
| true
| true
| true
|
["jobs report", "election integrity", "data accuracy"]
|
["Donald Trump"]
|
[]
|
President Donald Trump addressed reporters outside the White House regarding the revised U.S. job numbers, released Friday ...
|
2025-08-01T22:47:48.083000+00:00
|
00:00:31,000 --> 00:00:40,000
|
2025-08-02T10:48:55.889319+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,772
| null | 0.95
| 0.95
| 20,574
| true
|
["1\n00:00:01,000 --> 00:00:01,000\nPaige. Let's take you right", "2\n00:00:01,000 --> 00:00:02,000\nPaige. Let's take you right", "3\n00:00:02,000 --> 00:00:04,000\noutside of the White House", "4\n00:00:04,000 --> 00:00:05,000\nPresident Trump. moments", "5\n00:00:05,000 --> 00:00:07,000\nago, looks like about to", "6\n00:00:07,000 --> 00:00:09,000\nmake some comments to the", "7\n00:00:09,000 --> 00:00:21,000\nmedia. I'm in 10 days.", "8\n00:00:21,000 --> 00:00:22,000\nwhile in the well, we'll see", "9\n00:00:22,000 --> 00:00:23,000\nwhat happens. We're", "10\n00:00:23,000 --> 00:00:24,000\ngoing to have some", "11\n00:00:24,000 --> 00:00:25,000\nmeetings and we'll see what", "12\n00:00:25,000 --> 00:00:31,000\nhappens. Oh yeah, I think", "13\n00:00:31,000 --> 00:00:33,000\nso. and if you look at", "14\n00:00:33,000 --> 00:00:34,000\nbefore the election, the", "15\n00:00:34,000 --> 00:00:35,000\nsame kind of thing happened,", "16\n00:00:35,000 --> 00:00:37,000\nand I think you'll see some", "17\n00:00:37,000 --> 00:00:37,000\nvery interesting", "18\n00:00:37,000 --> 00:00:39,000\ninformation. come out, but", "19\n00:00:39,000 --> 00:00:40,000\nwe got ready. You have to", "20\n00:00:40,000 --> 00:00:42,000\nhave honest reports and uh,", "21\n00:00:42,000 --> 00:00:43,000\nwhen you look at those", "22\n00:00:43,000 --> 00:00:45,000\nnumbers or when you look", "23\n00:00:45,000 --> 00:00:46,000\nat just before the", "24\n00:00:46,000 --> 00:00:47,000\nelection, and then after the", "25\n00:00:47,000 --> 00:00:49,000\nelection, they corrected it", "26\n00:00:49,000 --> 00:00:52,000\nby 8 or 900,000. jobs.", "27\n00:00:52,000 --> 00:00:59,000\nYeah, I would say so we", "28\n00:00:59,000 --> 00:01:02,000\nhave a great relationship.", "29\n00:01:02,000 --> 00:01:03,000\nand when you can you yeah,", "30\n00:01:03,000 --> 00:01:04,000\nwe have a great", "31\n00:01:04,000 --> 00:01:05,000\nrelationship with South", "32\n00:01:05,000 --> 00:01:09,000\nKorea. Well, you said", "33\n00:01:09,000 --> 00:01:10,000\nall things.", "34\n00:01:10,000 --> 00:01:12,000\ncan I go to Brazil?", "35\n00:01:12,000 --> 00:01:13,000\nLula said he would like to", "36\n00:01:13,000 --> 00:01:15,000\ncall you. He requested", "37\n00:01:15,000 --> 00:01:17,000\na conversation. We can talk", "38\n00:01:17,000 --> 00:01:19,000\nto him anytime he wants. So", "39\n00:01:19,000 --> 00:01:20,000\nare you open the character?", "40\n00:01:20,000 --> 00:01:21,000\nYeah, he can talk to me", "41\n00:01:21,000 --> 00:01:22,000\nanytime anyone. What? What", "42\n00:01:22,000 --> 00:01:24,000\nis going on?", "43\n00:01:24,000 --> 00:01:25,000\nfor, Brazil? What was she?", "44\n00:01:25,000 --> 00:01:25,000\nWhat happened? But I love", "45\n00:01:25,000 --> 00:01:30,000\nthe people of Brazil. What?", "46\n00:01:30,000 --> 00:01:32,000\nwhat happened?", "47\n00:01:32,000 --> 00:01:34,000\nI love the people of Brazil.", "48\n00:01:34,000 --> 00:01:38,000\nto do Marine. life.", "49\n00:01:38,000 --> 00:01:38,000\npeople running Brazil, did", "50\n00:01:38,000 --> 00:01:44,000\nthe wrong thing. 7 years. 7", "51\n00:01:44,000 --> 00:01:46,000\nyears, from the time", "52\n00:01:46,000 --> 00:01:48,000\nthat she learned the people.", "53\n00:01:48,000 --> 00:01:50,000\nFrom Mara Lago. the time", "54\n00:01:50,000 --> 00:01:51,000\nthat she kicked", "55\n00:01:51,000 --> 00:01:53,000\nher, that she took,", "56\n00:01:53,000 --> 00:01:54,000\nGet the FD. yeah, I don't I", "57\n00:01:54,000 --> 00:02:00,000\nI don't, I don't", "58\n00:02:00,000 --> 00:02:01,000\nunderstand your question.", "59\n00:02:01,000 --> 00:02:03,000\nWhere are being deployed", "60\n00:02:03,000 --> 00:02:03,000\nin nuclear submarine? Oh", "61\n00:02:03,000 --> 00:02:04,000\nyeah. Well we had to do", "62\n00:02:04,000 --> 00:02:05,000\nthat. We just have to be", "63\n00:02:05,000 --> 00:02:08,000\ncareful. and a threat was", "64\n00:02:08,000 --> 00:02:09,000\nmade and we didn't think", "65\n00:02:09,000 --> 00:02:10,000\nit was appropriate. so I", "66\n00:02:10,000 --> 00:02:11,000\nhave to be very careful.", "67\n00:02:11,000 --> 00:02:14,000\nso I do that. uh on the", "68\n00:02:14,000 --> 00:02:15,000\nbasis of safety for our", "69\n00:02:15,000 --> 00:02:17,000\npeople. a threat was made", "70\n00:02:17,000 --> 00:02:19,000\nby a former president of", "71\n00:02:19,000 --> 00:02:20,000\nRussia. and we're going to", "72\n00:02:20,000 --> 00:02:27,000\nprotect our people", "73\n00:02:27,000 --> 00:02:28,000\nI hope so. I hope so I", "74\n00:02:28,000 --> 00:02:29,000\ndon't know whether or not.", "75\n00:02:29,000 --> 00:02:30,000\nthat'll happen but I hope", "76\n00:02:30,000 --> 00:02:34,000\nso. Fire. The head of", "77\n00:02:34,000 --> 00:02:34,000\nthe Bureau of Labor system.", "78\n00:02:34,000 --> 00:02:35,000\nbecause I think our numbers", "79\n00:02:35,000 --> 00:02:
| 308,672
|
||
If AI became clear to the rest of us that it was out of control and posed a threat to humanity, would there be any way to stop it? I hope so. If you have multiple AIs and ones that are hopefully pro-human be stronger than the AIs that are not. Battle of the AIs.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| false
| false
|
["AI control", "technology risk", "future of AI"]
|
[]
|
[]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:10:44,000 --> 00:11:05,000
|
2025-08-02T01:19:29.497054+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,807
|
|||
I think there's control of the borders. Every nation needs that, and we have it. I hope he pivots to reform now, which is DACA days, path to citizenship, seasonal workers, more merit-based, which I've heard him talk about he's in favor of those things, but I don't think those things were doable without border control and now you have border control.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| true
| true
|
["immigration policy", "border control", "reform"]
|
["United States", "DACA"]
|
[]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:06:22,000 --> 00:06:43,000
|
2025-08-04T01:53:25.311049+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,774
|
|||
If you're building a team and want the smartest, most productive friends and colleagues, you should build and engage AIs as fast as possible because they are super smart and will help you solve problems.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| false
| false
|
["team building", "artificial intelligence", "productivity"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:08:49,000 --> 00:09:12,000
|
2025-08-08T10:38:04.276494+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 274,027
| -8
| 0.92
| 0.96
| 26,578
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,467
|
|||
You don't need 20 right decisions to get very rich. You know, four or five will probably do it.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett | Best Advice Ever #warrenbuffet #investment #advice #mindset #inspiration
|
https://www.youtube.com/watch?v=NOKpz8Y9vfQ
| true
| false
| true
|
["investment strategy", "wealth building"]
|
[]
|
["Berkshire Hathaway"]
| null |
2025-08-14T17:12:20.311000+00:00
|
00:00:15,000 --> 00:00:22,000
|
2025-08-21T19:23:58.320981+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 291,784
| null | 0.88
| 0.88
| 761
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI've told students if when they got out", "2\n00:00:00,000 --> 00:00:02,000\nI've told students if when they got out", "3\n00:00:02,000 --> 00:00:05,000\nof school they got a punch card with 20", "4\n00:00:05,000 --> 00:00:07,000\npunches on it and that's all the", "5\n00:00:07,000 --> 00:00:08,000\ninvestment decisions they got to make in", "6\n00:00:08,000 --> 00:00:11,000\ntheir entire life, they would get very", "7\n00:00:11,000 --> 00:00:12,000\nrich because they would think very hard", "8\n00:00:12,000 --> 00:00:15,000\nabout each one. And you don't need 20", "9\n00:00:15,000 --> 00:00:17,000\nright decisions to get very rich. you", "10\n00:00:17,000 --> 00:00:22,000\nknow is four or five will probably do it"]
| 333,889
|
|||
You're undertaking these big bets way more. People are talking about it now but 3 years ago people were very pessimistic on it. I increased our investment in way more at that time.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2023-05-01
|
Alphabet Google
|
how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration
|
https://www.youtube.com/watch?v=aSkNd1-Jy2k
| true
| false
| true
|
["investment strategy", "market perception", "long-term planning"]
|
["Sundar Pichai"]
|
["Google"]
|
Hi Viewers, how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration. Learn how Google CEO Sundar Pichai makes ...
|
2025-08-27T08:01:30.352000+00:00
|
00:00:43,000 --> 00:00:50,000
|
2025-09-01T10:30:33.624940+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 307,197
| -849
| 0.9
| 0.94
| 2,229
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI feel like this is the the main thing I", "2\n00:00:00,000 --> 00:00:03,000\nI feel like this is the the main thing I", "3\n00:00:03,000 --> 00:00:04,000\ndid as a CEO setting up the company is", "4\n00:00:04,000 --> 00:00:08,000\nto really be at the forefront of uh AI", "5\n00:00:08,000 --> 00:00:10,000\nwhen I look at the depth and breadth of", "6\n00:00:10,000 --> 00:00:12,000\nwhat we are doing as a company across", "7\n00:00:12,000 --> 00:00:13,000\neverything we are doing on multiple", "8\n00:00:13,000 --> 00:00:15,000\nfronts. I think we are incredibly well", "9\n00:00:15,000 --> 00:00:17,000\npositioned but definitely you know", "10\n00:00:17,000 --> 00:00:18,000\nthrough this moment you know it's a", "11\n00:00:18,000 --> 00:00:19,000\nmoment in which we realize it's a moment", "12\n00:00:19,000 --> 00:00:22,000\nto accelerate at scale what we are doing", "13\n00:00:22,000 --> 00:00:24,000\nand that involve you know think stepping", "14\n00:00:24,000 --> 00:00:25,000\nback and thinking about how you can make", "15\n00:00:25,000 --> 00:00:28,000\nthe company work faster uh setting up", "16\n00:00:28,000 --> 00:00:30,000\nGoogle deep mind uh bringing uh bringing", "17\n00:00:30,000 --> 00:00:33,000\nour best teams into one one team scaling", "18\n00:00:33,000 --> 00:00:35,000\nup our AI infrastructure you know our", "19\n00:00:35,000 --> 00:00:37,000\ncapex of 75 billion that was $20 billion", "20\n00:00:37,000 --> 00:00:39,000\na few years ago so we dramatically", "21\n00:00:39,000 --> 00:00:41,000\nscaling up our infrastructure so you're", "22\n00:00:41,000 --> 00:00:43,000\nyou're undertaking these big bets way", "23\n00:00:43,000 --> 00:00:44,000\nmore People are talking about it now but", "24\n00:00:44,000 --> 00:00:46,000\n3 years ago people were very pessimistic", "25\n00:00:46,000 --> 00:00:48,000\non it. I increased our investment in way", "26\n00:00:48,000 --> 00:00:50,000\nmore at that time. So like you know so", "27\n00:00:50,000 --> 00:00:52,000\nyou are making decisions not based on", "28\n00:00:52,000 --> 00:00:53,000\nwhat people are currently saying at any", "29\n00:00:53,000 --> 00:00:58,000\ngiven moment but with the long-term"]
| 348,957
|
|||
Maybe it's theoretically possible that you can just receive your check but you still have to have somebody determining do you get a check and what do you do with it? And you mean like a UBI type scenario? All I know is that it's going to be very disruptive.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| true
| true
|
["universal basic income", "social policy", "disruption", "economy"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:07:50 - 00:08:09
|
2025-08-02T02:01:17.149567+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,178
|
|||
The recent extreme downward revisions to non-farm payrolls confirm we are in a rolling recession, but we do not believe in a long recession scenario and expect the equity market to see through this after the wall of worry moves down.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["employment", "recession", "equity market"]
|
["Federal Reserve"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:26:19 - 00:27:03
|
2025-08-02T02:11:24.180678+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,379
|
|||
Meta has been on a spending spree to boost its AI infrastructure, poaching talent from other tech firms accused of offering $100 million bonuses.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| true
| true
|
["artificial intelligence", "corporate strategy", "talent acquisition", "finance"]
|
["Mark Zuckerberg", "Meta Platforms"]
|
["Meta Platforms"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:01:25,000 --> 00:01:31,000
|
2025-08-02T10:48:16.082654+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,603
|
|||
We removed the term 'shortfalls' from our statement and now recognize that employment may run at times above real-time assessments of maximum employment without necessarily creating risks to price stability.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| false
| true
|
["employment", "price stability", "monetary policy communication"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:17:02,000 --> 00:17:20,000
|
2025-08-23T02:30:06.130686+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,491
|
|||
I believe that the numbers were phony just like they were before the election. There were other times. So you know what I did? I fired her. And you know what? I did the right thing.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump takes questions from reporters at White House ahead of New Jersey trip
|
https://www.youtube.com/watch?v=whGzRaDBJa8
| true
| true
| true
|
["jobs numbers", "data manipulation", "government accountability"]
|
["Donald Trump"]
|
[]
|
President Donald Trump addressed reporters outside the White House regarding the revised U.S. job numbers, released Friday ...
|
2025-08-01T22:47:48.083000+00:00
|
00:05:01,000 --> 00:05:08,000
|
2025-08-02T10:48:56.027008+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,772
| null | 0.95
| 0.95
| 20,574
| true
|
["1\n00:00:01,000 --> 00:00:01,000\nPaige. Let's take you right", "2\n00:00:01,000 --> 00:00:02,000\nPaige. Let's take you right", "3\n00:00:02,000 --> 00:00:04,000\noutside of the White House", "4\n00:00:04,000 --> 00:00:05,000\nPresident Trump. moments", "5\n00:00:05,000 --> 00:00:07,000\nago, looks like about to", "6\n00:00:07,000 --> 00:00:09,000\nmake some comments to the", "7\n00:00:09,000 --> 00:00:21,000\nmedia. I'm in 10 days.", "8\n00:00:21,000 --> 00:00:22,000\nwhile in the well, we'll see", "9\n00:00:22,000 --> 00:00:23,000\nwhat happens. We're", "10\n00:00:23,000 --> 00:00:24,000\ngoing to have some", "11\n00:00:24,000 --> 00:00:25,000\nmeetings and we'll see what", "12\n00:00:25,000 --> 00:00:31,000\nhappens. Oh yeah, I think", "13\n00:00:31,000 --> 00:00:33,000\nso. and if you look at", "14\n00:00:33,000 --> 00:00:34,000\nbefore the election, the", "15\n00:00:34,000 --> 00:00:35,000\nsame kind of thing happened,", "16\n00:00:35,000 --> 00:00:37,000\nand I think you'll see some", "17\n00:00:37,000 --> 00:00:37,000\nvery interesting", "18\n00:00:37,000 --> 00:00:39,000\ninformation. come out, but", "19\n00:00:39,000 --> 00:00:40,000\nwe got ready. You have to", "20\n00:00:40,000 --> 00:00:42,000\nhave honest reports and uh,", "21\n00:00:42,000 --> 00:00:43,000\nwhen you look at those", "22\n00:00:43,000 --> 00:00:45,000\nnumbers or when you look", "23\n00:00:45,000 --> 00:00:46,000\nat just before the", "24\n00:00:46,000 --> 00:00:47,000\nelection, and then after the", "25\n00:00:47,000 --> 00:00:49,000\nelection, they corrected it", "26\n00:00:49,000 --> 00:00:52,000\nby 8 or 900,000. jobs.", "27\n00:00:52,000 --> 00:00:59,000\nYeah, I would say so we", "28\n00:00:59,000 --> 00:01:02,000\nhave a great relationship.", "29\n00:01:02,000 --> 00:01:03,000\nand when you can you yeah,", "30\n00:01:03,000 --> 00:01:04,000\nwe have a great", "31\n00:01:04,000 --> 00:01:05,000\nrelationship with South", "32\n00:01:05,000 --> 00:01:09,000\nKorea. Well, you said", "33\n00:01:09,000 --> 00:01:10,000\nall things.", "34\n00:01:10,000 --> 00:01:12,000\ncan I go to Brazil?", "35\n00:01:12,000 --> 00:01:13,000\nLula said he would like to", "36\n00:01:13,000 --> 00:01:15,000\ncall you. He requested", "37\n00:01:15,000 --> 00:01:17,000\na conversation. We can talk", "38\n00:01:17,000 --> 00:01:19,000\nto him anytime he wants. So", "39\n00:01:19,000 --> 00:01:20,000\nare you open the character?", "40\n00:01:20,000 --> 00:01:21,000\nYeah, he can talk to me", "41\n00:01:21,000 --> 00:01:22,000\nanytime anyone. What? What", "42\n00:01:22,000 --> 00:01:24,000\nis going on?", "43\n00:01:24,000 --> 00:01:25,000\nfor, Brazil? What was she?", "44\n00:01:25,000 --> 00:01:25,000\nWhat happened? But I love", "45\n00:01:25,000 --> 00:01:30,000\nthe people of Brazil. What?", "46\n00:01:30,000 --> 00:01:32,000\nwhat happened?", "47\n00:01:32,000 --> 00:01:34,000\nI love the people of Brazil.", "48\n00:01:34,000 --> 00:01:38,000\nto do Marine. life.", "49\n00:01:38,000 --> 00:01:38,000\npeople running Brazil, did", "50\n00:01:38,000 --> 00:01:44,000\nthe wrong thing. 7 years. 7", "51\n00:01:44,000 --> 00:01:46,000\nyears, from the time", "52\n00:01:46,000 --> 00:01:48,000\nthat she learned the people.", "53\n00:01:48,000 --> 00:01:50,000\nFrom Mara Lago. the time", "54\n00:01:50,000 --> 00:01:51,000\nthat she kicked", "55\n00:01:51,000 --> 00:01:53,000\nher, that she took,", "56\n00:01:53,000 --> 00:01:54,000\nGet the FD. yeah, I don't I", "57\n00:01:54,000 --> 00:02:00,000\nI don't, I don't", "58\n00:02:00,000 --> 00:02:01,000\nunderstand your question.", "59\n00:02:01,000 --> 00:02:03,000\nWhere are being deployed", "60\n00:02:03,000 --> 00:02:03,000\nin nuclear submarine? Oh", "61\n00:02:03,000 --> 00:02:04,000\nyeah. Well we had to do", "62\n00:02:04,000 --> 00:02:05,000\nthat. We just have to be", "63\n00:02:05,000 --> 00:02:08,000\ncareful. and a threat was", "64\n00:02:08,000 --> 00:02:09,000\nmade and we didn't think", "65\n00:02:09,000 --> 00:02:10,000\nit was appropriate. so I", "66\n00:02:10,000 --> 00:02:11,000\nhave to be very careful.", "67\n00:02:11,000 --> 00:02:14,000\nso I do that. uh on the", "68\n00:02:14,000 --> 00:02:15,000\nbasis of safety for our", "69\n00:02:15,000 --> 00:02:17,000\npeople. a threat was made", "70\n00:02:17,000 --> 00:02:19,000\nby a former president of", "71\n00:02:19,000 --> 00:02:20,000\nRussia. and we're going to", "72\n00:02:20,000 --> 00:02:27,000\nprotect our people", "73\n00:02:27,000 --> 00:02:28,000\nI hope so. I hope so I", "74\n00:02:28,000 --> 00:02:29,000\ndon't know whether or not.", "75\n00:02:29,000 --> 00:02:30,000\nthat'll happen but I hope", "76\n00:02:30,000 --> 00:02:34,000\nso. Fire. The head of", "77\n00:02:34,000 --> 00:02:34,000\nthe Bureau of Labor system.", "78\n00:02:34,000 --> 00:02:35,000\nbecause I think our numbers", "79\n00:02:35,000 --> 00:02:
| 308,673
|
||
The smartest creatures on this earth are humans. Now what happens when something vastly smarter than the smartest person comes along in silicon form? It's very difficult to predict what will happen in that circumstance. It's called the singularity. It's like a black hole because you don't know what happens after that.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| false
| false
|
["AI singularity", "future technology", "human intelligence"]
|
[]
|
[]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:19:09,000 --> 00:19:54,000
|
2025-08-02T01:19:29.610204+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,808
|
|||
I'm a red blooded patriotic, full-throated, free enterprise capitalist American. And I really care about my country, so I'm gonna fight for my country. That's not about running for office. It's about getting involved in the fight to do the things that actually grow the economy and make the country stronger.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| true
|
["patriotism", "economic growth", "political involvement"]
|
["United States"]
|
[]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:07:59,000 --> 00:08:18,000
|
2025-08-04T01:53:25.416068+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,775
|
|||
The vast majority of human knowledge will be AI-generated data that other AIs learn from, which we call synthetic data. It's just intelligence; it's not a big deal, just data.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| true
| false
|
["artificial intelligence", "synthetic data", "knowledge generation"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:08:10,000 --> 00:08:38,000
|
2025-08-08T10:38:04.397490+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 274,027
| -8
| 0.92
| 0.96
| 26,578
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,468
|
|||
Sounds to me like you could do a good job yourself, too. And, you know, at 10, you're way ahead of me. Unfortunately, I didn't buy my first stock until I was 11, so I got a very slow start.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett Gets Jealous With A 10-Year-Old Shareholder
|
https://www.youtube.com/watch?v=l-zBT8pCO_4
| true
| false
| true
|
["personal finance education", "investing", "stock market"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
SUBSCRIBE FOR MORE INVESTING INSIGHTS #financialliteracy #investingforbeginners #valueinvesting #warrenbuffett ...
|
2025-08-21T08:47:30.790000+00:00
|
00:00:27,000 --> 00:00:44,000
|
2025-08-26T10:28:55.153035+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 298,732
| null | 1
| 0.92
| 1,531
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI'm 10 years old and this is my fourth", "2\n00:00:00,000 --> 00:00:01,000\nI'm 10 years old and this is my fourth", "3\n00:00:01,000 --> 00:00:03,000\nconsecutive year here.", "4\n00:00:03,000 --> 00:00:04,000\nTerrific. How I got", "5\n00:00:04,000 --> 00:00:05,000\nWe're glad to have you here.", "6\n00:00:05,000 --> 00:00:08,000\nThanks. This is my fourth consecutive", "7\n00:00:08,000 --> 00:00:10,000\nyear here. And how I got to owning stock", "8\n00:00:10,000 --> 00:00:13,000\nis my dad taught me to start my own", "9\n00:00:13,000 --> 00:00:15,000\nbusiness and I bought uh Brookshire", "10\n00:00:15,000 --> 00:00:18,000\nHathaway stock with my profits. And in", "11\n00:00:18,000 --> 00:00:20,000\nschool, they don't teach you how to make", "12\n00:00:20,000 --> 00:00:23,000\nand save money, not in high school or", "13\n00:00:23,000 --> 00:00:25,000\ncollege. So my question is, how would", "14\n00:00:25,000 --> 00:00:27,000\nyou propose to educate kids in this", "15\n00:00:27,000 --> 00:00:29,000\narea? Well, that's a good question.", "16\n00:00:29,000 --> 00:00:31,000\nSounds to me sounds to me like you could", "17\n00:00:31,000 --> 00:00:34,000\ndo a good job yourself, too. I And and", "18\n00:00:34,000 --> 00:00:36,000\nI'm, you know, at 10, you're way ahead", "19\n00:00:36,000 --> 00:00:37,000\nof me. Unfortunately, I didn't buy my", "20\n00:00:37,000 --> 00:00:39,000\nfirst stock until I was 11, so I got a", "21\n00:00:39,000 --> 00:00:44,000\nvery slow start."]
| 340,317
|
|||
You are making decisions not based on what people are currently saying at any given moment but with the long-term.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2023-05-01
|
Alphabet Google
|
how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration
|
https://www.youtube.com/watch?v=aSkNd1-Jy2k
| true
| false
| false
|
["decision making", "long-term strategy", "leadership"]
|
["Sundar Pichai"]
|
["Google"]
|
Hi Viewers, how to make decisions? | By SUNDAR PICHAI | #shorts #inspiration. Learn how Google CEO Sundar Pichai makes ...
|
2025-08-27T08:01:30.352000+00:00
|
00:00:52,000 --> 00:00:58,000
|
2025-09-01T10:30:33.931034+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 307,197
| -849
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| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI feel like this is the the main thing I", "2\n00:00:00,000 --> 00:00:03,000\nI feel like this is the the main thing I", "3\n00:00:03,000 --> 00:00:04,000\ndid as a CEO setting up the company is", "4\n00:00:04,000 --> 00:00:08,000\nto really be at the forefront of uh AI", "5\n00:00:08,000 --> 00:00:10,000\nwhen I look at the depth and breadth of", "6\n00:00:10,000 --> 00:00:12,000\nwhat we are doing as a company across", "7\n00:00:12,000 --> 00:00:13,000\neverything we are doing on multiple", "8\n00:00:13,000 --> 00:00:15,000\nfronts. I think we are incredibly well", "9\n00:00:15,000 --> 00:00:17,000\npositioned but definitely you know", "10\n00:00:17,000 --> 00:00:18,000\nthrough this moment you know it's a", "11\n00:00:18,000 --> 00:00:19,000\nmoment in which we realize it's a moment", "12\n00:00:19,000 --> 00:00:22,000\nto accelerate at scale what we are doing", "13\n00:00:22,000 --> 00:00:24,000\nand that involve you know think stepping", "14\n00:00:24,000 --> 00:00:25,000\nback and thinking about how you can make", "15\n00:00:25,000 --> 00:00:28,000\nthe company work faster uh setting up", "16\n00:00:28,000 --> 00:00:30,000\nGoogle deep mind uh bringing uh bringing", "17\n00:00:30,000 --> 00:00:33,000\nour best teams into one one team scaling", "18\n00:00:33,000 --> 00:00:35,000\nup our AI infrastructure you know our", "19\n00:00:35,000 --> 00:00:37,000\ncapex of 75 billion that was $20 billion", "20\n00:00:37,000 --> 00:00:39,000\na few years ago so we dramatically", "21\n00:00:39,000 --> 00:00:41,000\nscaling up our infrastructure so you're", "22\n00:00:41,000 --> 00:00:43,000\nyou're undertaking these big bets way", "23\n00:00:43,000 --> 00:00:44,000\nmore People are talking about it now but", "24\n00:00:44,000 --> 00:00:46,000\n3 years ago people were very pessimistic", "25\n00:00:46,000 --> 00:00:48,000\non it. I increased our investment in way", "26\n00:00:48,000 --> 00:00:50,000\nmore at that time. So like you know so", "27\n00:00:50,000 --> 00:00:52,000\nyou are making decisions not based on", "28\n00:00:52,000 --> 00:00:53,000\nwhat people are currently saying at any", "29\n00:00:53,000 --> 00:00:58,000\ngiven moment but with the long-term"]
| 348,958
|
|||
I think the increasing polarity, halves and have nots dynamic influences what happens in terms of internal politics, increases polarization, increases tension, increases the desire for populism.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| true
| true
|
["economic inequality", "politics", "polarization", "populism"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:05:28 - 00:05:41
|
2025-08-02T02:01:17.260141+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
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| 17,878
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|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,179
|
|||
Federal government employees are down by 84,000 year-to-date, with another 150,000 layoffs expected by September, meaning 10% of federal employees will have been laid off, creating uncertainty in the job market.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| true
| true
|
["employment", "government layoffs", "job market uncertainty"]
|
["Federal government"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:27:03 - 00:27:56
|
2025-08-02T02:11:24.199056+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,380
|
|||
AI keeps accelerating, and over the past few months, we've begun to see glimpses of AI systems improving themselves. So, developing super intelligence is now in sight.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2025-07-01
|
Meta Platforms
|
Meta CEO Mark Zuckerberg Announces Superintelligence Labs To Build AI Assistants For Every Human
|
https://www.youtube.com/watch?v=-KkCWPcEHWM
| true
| false
| false
|
["artificial intelligence", "technology advancement"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
TechToday #AIAssistants #MarkZuckerberg #Meta #Superintelligence #ArtificialIntelligence #MetaAI #FutureTech #PersonalAI ...
|
2025-08-02T08:54:52.656000+00:00
|
00:00:06,000 --> 00:00:20,000
|
2025-08-05T11:00:46.517592+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 269,753
| -32
| 1
| 0.97
| 5,013
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAll right, you ready? Hey everyone, I", "2\n00:00:00,000 --> 00:00:02,000\nAll right, you ready? Hey everyone, I", "3\n00:00:02,000 --> 00:00:04,000\nwant to talk about our new effort, Meta", "4\n00:00:04,000 --> 00:00:06,000\nSuper Intelligence Labs, and our vision", "5\n00:00:06,000 --> 00:00:08,000\nto build personal super intelligence for", "6\n00:00:08,000 --> 00:00:11,000\neveryone. AI keeps accelerating, and", "7\n00:00:11,000 --> 00:00:13,000\nover the past few months, we've begun to", "8\n00:00:13,000 --> 00:00:15,000\nsee glimpses of AI systems improving", "9\n00:00:15,000 --> 00:00:17,000\nthemselves. So, developing super", "10\n00:00:17,000 --> 00:00:20,000\nintelligence is now in sight. But", "11\n00:00:20,000 --> 00:00:21,000\nthere's this big open question about", "12\n00:00:21,000 --> 00:00:23,000\nwhat we should direct super intelligence", "13\n00:00:23,000 --> 00:00:26,000\ntowards. A lot has been written about", "14\n00:00:26,000 --> 00:00:28,000\nthe scientific and economic advances", "15\n00:00:28,000 --> 00:00:30,000\nthat AI can bring, and I'm really", "16\n00:00:30,000 --> 00:00:32,000\noptimistic about this. But I think an", "17\n00:00:32,000 --> 00:00:34,000\neven more meaningful impact in our lives", "18\n00:00:34,000 --> 00:00:36,000\nis going to come from everyone having a", "19\n00:00:36,000 --> 00:00:38,000\npersonal super intelligence that helps", "20\n00:00:38,000 --> 00:00:40,000\nyou achieve your goals, create what you", "21\n00:00:40,000 --> 00:00:42,000\nwant to see in the world, be a better", "22\n00:00:42,000 --> 00:00:44,000\nfriend, and grow to become the person", "23\n00:00:44,000 --> 00:00:47,000\nthat you aspire to be. This vision is", "24\n00:00:47,000 --> 00:00:48,000\ndifferent from others in the industry", "25\n00:00:48,000 --> 00:00:50,000\nwho want to direct AI at automating all", "26\n00:00:50,000 --> 00:00:53,000\nof the valuable work. At Meta, we", "27\n00:00:53,000 --> 00:00:55,000\nbelieve in putting the power of super", "28\n00:00:55,000 --> 00:00:57,000\nintelligence in people's hands to direct", "29\n00:00:57,000 --> 00:00:58,000\nit towards what they value in their own", "30\n00:00:58,000 --> 00:01:00,000\nlives. Some of this will be about", "31\n00:01:00,000 --> 00:01:02,000\nimproving productivity, but a lot of it", "32\n00:01:02,000 --> 00:01:05,000\nmay be more personal in nature. This is", "33\n00:01:05,000 --> 00:01:07,000\ngoing to be a new era in some ways, but", "34\n00:01:07,000 --> 00:01:09,000\nin others, it's just a continuation of", "35\n00:01:09,000 --> 00:01:13,000\nhistorical trends. About 200 years ago,", "36\n00:01:13,000 --> 00:01:15,000\n90% of people were farmers growing food", "37\n00:01:15,000 --> 00:01:18,000\nto survive. Today, fewer than 2% grow", "38\n00:01:18,000 --> 00:01:21,000\nall of our food. Advances in technology", "39\n00:01:21,000 --> 00:01:23,000\nhave freed freed much of humanity to", "40\n00:01:23,000 --> 00:01:26,000\nfocus less on subsistence and more on", "41\n00:01:26,000 --> 00:01:28,000\nthe pursuits that we choose. And at each", "42\n00:01:28,000 --> 00:01:30,000\nstep along the way, most people have", "43\n00:01:30,000 --> 00:01:31,000\ndecided to use their newfound", "44\n00:01:31,000 --> 00:01:34,000\nproductivity to spend more time on", "45\n00:01:34,000 --> 00:01:36,000\ncreativity, culture, relationships, and", "46\n00:01:36,000 --> 00:01:38,000\njust enjoying life. And I expect super", "47\n00:01:38,000 --> 00:01:40,000\nintelligence to accelerate this trend", "48\n00:01:40,000 --> 00:01:43,000\neven more. The intersection of", "49\n00:01:43,000 --> 00:01:45,000\ntechnology and culture is where meta", "50\n00:01:45,000 --> 00:01:47,000\nfocuses. And this will only become more", "51\n00:01:47,000 --> 00:01:50,000\nimportant over time. If trends continue,", "52\n00:01:50,000 --> 00:01:53,000\nI expect that people will spend less", "53\n00:01:53,000 --> 00:01:55,000\ntime on productivity software and more", "54\n00:01:55,000 --> 00:01:57,000\ntime creating and connecting. I think", "55\n00:01:57,000 --> 00:01:59,000\nthat personal devices like glasses that", "56\n00:01:59,000 --> 00:02:02,000\ncan see what we see, hear what we hear,", "57\n00:02:02,000 --> 00:02:03,000\nand interact with us throughout the day", "58\n00:02:03,000 --> 00:02:05,000\nare going to become our main computing", "59\n00:02:05,000 --> 00:02:08,000\ndevices. I believe deeply in building", "60\n00:02:08,000 --> 00:02:10,000\npersonal super intelligence for", "61\n00:02:10,000 --> 00:02:12,000\neveryone. And at Meta, we have the", "62\n00:02:12,000 --> 00:02:13,000\nresources to build the massive", "63\n00:02:13,000 --> 00:02:15,000\ninfrastructure required and the ability", "64\n00:02:15,000 --> 00:02:18,000\nto deliver new technology to billions of", "65\n00:02:18,000 --> 00:02:20,000\npeople. I'm excited to build this future", "66\n00:02:20,000 --> 00:02:25,000\nand we've got a lot more to
| 313,057
|
|||
In periods where our employment and inflation objectives are not complementary, we will follow a balanced approach in promoting them, taking into account the extent of departures from our goals and the different time horizons over which each is projected to return to a level consistent with our dual mandate.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| false
| true
|
["monetary policy", "dual mandate", "inflation", "employment"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:18:03,000 --> 00:18:44,000
|
2025-08-23T02:30:06.150535+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,492
|
|||
Why should anybody trust numbers? You go back to election day, look what happened 2 or 3 days before with massive wonderful job numbers trying to get somebody else elected.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump takes questions from reporters at White House ahead of New Jersey trip
|
https://www.youtube.com/watch?v=whGzRaDBJa8
| true
| true
| true
|
["trust in government data", "election influence", "jobs report"]
|
["Donald Trump", "Kamala Harris", "Joe Biden"]
|
[]
|
President Donald Trump addressed reporters outside the White House regarding the revised U.S. job numbers, released Friday ...
|
2025-08-01T22:47:48.083000+00:00
|
00:04:07,000 --> 00:04:23,000
|
2025-08-02T10:48:56.162318+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,772
| null | 0.95
| 0.95
| 20,574
| true
|
["1\n00:00:01,000 --> 00:00:01,000\nPaige. Let's take you right", "2\n00:00:01,000 --> 00:00:02,000\nPaige. Let's take you right", "3\n00:00:02,000 --> 00:00:04,000\noutside of the White House", "4\n00:00:04,000 --> 00:00:05,000\nPresident Trump. moments", "5\n00:00:05,000 --> 00:00:07,000\nago, looks like about to", "6\n00:00:07,000 --> 00:00:09,000\nmake some comments to the", "7\n00:00:09,000 --> 00:00:21,000\nmedia. I'm in 10 days.", "8\n00:00:21,000 --> 00:00:22,000\nwhile in the well, we'll see", "9\n00:00:22,000 --> 00:00:23,000\nwhat happens. We're", "10\n00:00:23,000 --> 00:00:24,000\ngoing to have some", "11\n00:00:24,000 --> 00:00:25,000\nmeetings and we'll see what", "12\n00:00:25,000 --> 00:00:31,000\nhappens. Oh yeah, I think", "13\n00:00:31,000 --> 00:00:33,000\nso. and if you look at", "14\n00:00:33,000 --> 00:00:34,000\nbefore the election, the", "15\n00:00:34,000 --> 00:00:35,000\nsame kind of thing happened,", "16\n00:00:35,000 --> 00:00:37,000\nand I think you'll see some", "17\n00:00:37,000 --> 00:00:37,000\nvery interesting", "18\n00:00:37,000 --> 00:00:39,000\ninformation. come out, but", "19\n00:00:39,000 --> 00:00:40,000\nwe got ready. You have to", "20\n00:00:40,000 --> 00:00:42,000\nhave honest reports and uh,", "21\n00:00:42,000 --> 00:00:43,000\nwhen you look at those", "22\n00:00:43,000 --> 00:00:45,000\nnumbers or when you look", "23\n00:00:45,000 --> 00:00:46,000\nat just before the", "24\n00:00:46,000 --> 00:00:47,000\nelection, and then after the", "25\n00:00:47,000 --> 00:00:49,000\nelection, they corrected it", "26\n00:00:49,000 --> 00:00:52,000\nby 8 or 900,000. jobs.", "27\n00:00:52,000 --> 00:00:59,000\nYeah, I would say so we", "28\n00:00:59,000 --> 00:01:02,000\nhave a great relationship.", "29\n00:01:02,000 --> 00:01:03,000\nand when you can you yeah,", "30\n00:01:03,000 --> 00:01:04,000\nwe have a great", "31\n00:01:04,000 --> 00:01:05,000\nrelationship with South", "32\n00:01:05,000 --> 00:01:09,000\nKorea. Well, you said", "33\n00:01:09,000 --> 00:01:10,000\nall things.", "34\n00:01:10,000 --> 00:01:12,000\ncan I go to Brazil?", "35\n00:01:12,000 --> 00:01:13,000\nLula said he would like to", "36\n00:01:13,000 --> 00:01:15,000\ncall you. He requested", "37\n00:01:15,000 --> 00:01:17,000\na conversation. We can talk", "38\n00:01:17,000 --> 00:01:19,000\nto him anytime he wants. So", "39\n00:01:19,000 --> 00:01:20,000\nare you open the character?", "40\n00:01:20,000 --> 00:01:21,000\nYeah, he can talk to me", "41\n00:01:21,000 --> 00:01:22,000\nanytime anyone. What? What", "42\n00:01:22,000 --> 00:01:24,000\nis going on?", "43\n00:01:24,000 --> 00:01:25,000\nfor, Brazil? What was she?", "44\n00:01:25,000 --> 00:01:25,000\nWhat happened? But I love", "45\n00:01:25,000 --> 00:01:30,000\nthe people of Brazil. What?", "46\n00:01:30,000 --> 00:01:32,000\nwhat happened?", "47\n00:01:32,000 --> 00:01:34,000\nI love the people of Brazil.", "48\n00:01:34,000 --> 00:01:38,000\nto do Marine. life.", "49\n00:01:38,000 --> 00:01:38,000\npeople running Brazil, did", "50\n00:01:38,000 --> 00:01:44,000\nthe wrong thing. 7 years. 7", "51\n00:01:44,000 --> 00:01:46,000\nyears, from the time", "52\n00:01:46,000 --> 00:01:48,000\nthat she learned the people.", "53\n00:01:48,000 --> 00:01:50,000\nFrom Mara Lago. the time", "54\n00:01:50,000 --> 00:01:51,000\nthat she kicked", "55\n00:01:51,000 --> 00:01:53,000\nher, that she took,", "56\n00:01:53,000 --> 00:01:54,000\nGet the FD. yeah, I don't I", "57\n00:01:54,000 --> 00:02:00,000\nI don't, I don't", "58\n00:02:00,000 --> 00:02:01,000\nunderstand your question.", "59\n00:02:01,000 --> 00:02:03,000\nWhere are being deployed", "60\n00:02:03,000 --> 00:02:03,000\nin nuclear submarine? Oh", "61\n00:02:03,000 --> 00:02:04,000\nyeah. Well we had to do", "62\n00:02:04,000 --> 00:02:05,000\nthat. We just have to be", "63\n00:02:05,000 --> 00:02:08,000\ncareful. and a threat was", "64\n00:02:08,000 --> 00:02:09,000\nmade and we didn't think", "65\n00:02:09,000 --> 00:02:10,000\nit was appropriate. so I", "66\n00:02:10,000 --> 00:02:11,000\nhave to be very careful.", "67\n00:02:11,000 --> 00:02:14,000\nso I do that. uh on the", "68\n00:02:14,000 --> 00:02:15,000\nbasis of safety for our", "69\n00:02:15,000 --> 00:02:17,000\npeople. a threat was made", "70\n00:02:17,000 --> 00:02:19,000\nby a former president of", "71\n00:02:19,000 --> 00:02:20,000\nRussia. and we're going to", "72\n00:02:20,000 --> 00:02:27,000\nprotect our people", "73\n00:02:27,000 --> 00:02:28,000\nI hope so. I hope so I", "74\n00:02:28,000 --> 00:02:29,000\ndon't know whether or not.", "75\n00:02:29,000 --> 00:02:30,000\nthat'll happen but I hope", "76\n00:02:30,000 --> 00:02:34,000\nso. Fire. The head of", "77\n00:02:34,000 --> 00:02:34,000\nthe Bureau of Labor system.", "78\n00:02:34,000 --> 00:02:35,000\nbecause I think our numbers", "79\n00:02:35,000 --> 00:02:
| 308,674
|
||
We've massively improved the Republican ground game in the swing states. We made sure everyone had a ride to vote, including the Amish community in Pennsylvania, who had never been mobilized in significant numbers before. This helped even the odds against a deck stacked in favor of the Democrats.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| false
| false
|
["election strategy", "voter mobilization", "political campaigns"]
|
["Pennsylvania", "Amish community", "Democrats", "Republicans"]
|
["Tesla"]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:08:20,000 --> 00:09:06,000
|
2025-08-02T01:19:29.747011+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,809
|
|||
Hugh McCall is a legend. He put together a lot of these banks and it was hard. People don't realize that when you put together banks you have to consolidate thousands of systems and cultures and comp plans and most of them failed. He was a no nonsense, a former Marine. Get it done, respected by his troops, and he got it done.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| false
|
["banking history", "leadership", "mergers and acquisitions"]
|
["Hugh McCall", "Bank of America"]
|
["Bank of America"]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:08:37,000 --> 00:09:07,000
|
2025-08-04T01:53:25.502618+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,776
|
|||
I interact with AI the way I interact with people. I want them on my side and to work with me. I ask multiple AIs to judge each other's answers and reflect to give me better answers.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| false
| false
|
["artificial intelligence", "human-AI interaction", "collaboration"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:09:30,000 --> 00:09:55,000
|
2025-08-08T10:38:04.546175+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 274,027
| -8
| 0.92
| 0.96
| 26,578
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,469
|
|||
I'm looking for a business I can understand. I think I know what the economics of the business will look like five or 10 or 20 years from now.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett Explains the Best Type of Business 💸
|
https://www.youtube.com/watch?v=gqqYCD7hdIQ
| true
| false
| true
|
["investing strategy", "business economics", "long-term investment"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
shorts #investing #money #finance.
|
2025-08-22T08:47:30.790000+00:00
|
00:00:04,000 --> 00:00:26,000
|
2025-08-26T10:28:58.028275+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 298,733
| null | 0.82
| 0.93
| 1,760
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nthe notion of investing for you. What", "2\n00:00:00,000 --> 00:00:02,000\nthe notion of investing for you. What", "3\n00:00:02,000 --> 00:00:04,000\nare you looking for when you read? I'm", "4\n00:00:04,000 --> 00:00:05,000\nlooking for a business I can understand.", "5\n00:00:05,000 --> 00:00:07,000\nI'm like a basketball coach and if I", "6\n00:00:07,000 --> 00:00:09,000\nwalk down the street, the first thing I", "7\n00:00:09,000 --> 00:00:11,000\nlook for is sevenfooters. Now, once I", "8\n00:00:11,000 --> 00:00:12,000\nfind a sevenfooter, I still got to", "9\n00:00:12,000 --> 00:00:13,000\nfigure out whether he's coordinated,", "10\n00:00:13,000 --> 00:00:15,000\nwhether I can keep him in school and all", "11\n00:00:15,000 --> 00:00:16,000\nthose things. But if some guy comes up", "12\n00:00:16,000 --> 00:00:18,000\nand he's 5'6 and he says, \"Where do you", "13\n00:00:18,000 --> 00:00:19,000\nsee me handle the ball and all that?\" I", "14\n00:00:19,000 --> 00:00:21,000\nI'm not looking for those. I look for", "15\n00:00:21,000 --> 00:00:23,000\nthings I can understand. I think I know", "16\n00:00:23,000 --> 00:00:24,000\nwhat the economics of the business will", "17\n00:00:24,000 --> 00:00:26,000\nlook like five or 10 or 20 years from", "18\n00:00:26,000 --> 00:00:28,000\nnow. I understand what a computer does,", "19\n00:00:28,000 --> 00:00:30,000\nbut I don't know who is going to be", "20\n00:00:30,000 --> 00:00:31,000\nmaking lots of money off of computers 10", "21\n00:00:31,000 --> 00:00:32,000\nyears from now, any more than I knew who", "22\n00:00:32,000 --> 00:00:33,000\nwas going to be making a lot of money", "23\n00:00:33,000 --> 00:00:38,000\noff the television sets back in 1960."]
| 340,321
|
|||
India is a special place. It's home to some of the world's most dynamic businesses, a thriving startup ecosystem and incredible amounts of creativity and ambition.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2024-06-01
|
Alphabet Google
|
‘India Is A Special Place…’, Reliance, Google Tie Up To Boost India's AI Infra | Pichai’s Speech
|
https://www.youtube.com/watch?v=1sLZ9AKfrXM
| true
| false
| false
|
["India", "business ecosystem", "startups"]
|
["India"]
|
[]
|
Mint is an Indian financial daily newspaper published by HT Media. The Mint YT Channel brings you cutting edge analysis of the ...
|
2025-08-30T08:01:29.638000+00:00
|
00:00:45,000 --> 00:00:56,000
|
2025-09-02T11:03:19.653376+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 308,774
| -455
| 0.92
| 0.96
| 6,204
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI am delighted to announce a deeper", "2\n00:00:00,000 --> 00:00:03,000\nI am delighted to announce a deeper", "3\n00:00:03,000 --> 00:00:06,000\nholistic partnership for AI with our", "4\n00:00:06,000 --> 00:00:08,000\nlongstanding partner Google. Through", "5\n00:00:08,000 --> 00:00:11,000\nthis partnership, we are marrying", "6\n00:00:11,000 --> 00:00:14,000\nReliance's proven capability to build", "7\n00:00:14,000 --> 00:00:16,000\nworld-class assets and execute at", "8\n00:00:16,000 --> 00:00:19,000\nIndia's scale with Google's leading", "9\n00:00:19,000 --> 00:00:21,000\ncloud and AI technologies so that", "10\n00:00:21,000 --> 00:00:25,000\ndevelopers, startups and enterprises can", "11\n00:00:25,000 --> 00:00:28,000\ninnovate faster, operate more securely", "12\n00:00:28,000 --> 00:00:31,000\nand reach every corner of India. Let me", "13\n00:00:31,000 --> 00:00:34,000\nnow invite my dear friend Mr. Sundar", "14\n00:00:34,000 --> 00:00:38,000\nPachai, CEO of Alphabet and Google to", "15\n00:00:38,000 --> 00:00:40,000\nshare a message.", "16\n00:00:40,000 --> 00:00:42,000\nNamaste and thank you for the invitation", "17\n00:00:42,000 --> 00:00:45,000\nto speak today. MKkesh. India is a", "18\n00:00:45,000 --> 00:00:47,000\nspecial place. It's home to some of the", "19\n00:00:47,000 --> 00:00:49,000\nworld's most dynamic businesses,", "20\n00:00:49,000 --> 00:00:53,000\na thriving startup ecosystem and", "21\n00:00:53,000 --> 00:00:55,000\nincredible amounts of creativity and", "22\n00:00:55,000 --> 00:00:56,000\nambition.", "23\n00:00:56,000 --> 00:00:59,000\nWe've long been investing in India's", "24\n00:00:59,000 --> 00:01:02,000\ndigital future and our partnership with", "25\n00:01:02,000 --> 00:01:05,000\nReliance and Jio has been an important", "26\n00:01:05,000 --> 00:01:08,000\npart of how we do that. Our work", "27\n00:01:08,000 --> 00:01:12,000\ntogether over the last decade has helped", "28\n00:01:12,000 --> 00:01:14,000\nbring affordable internet access to", "29\n00:01:14,000 --> 00:01:16,000\nmillions helping to power India's", "30\n00:01:16,000 --> 00:01:20,000\ndigital revolution. And now we are", "31\n00:01:20,000 --> 00:01:21,000\nbuilding on this to help shape the next", "32\n00:01:21,000 --> 00:01:24,000\nleap with AI. The AI opportunity in", "33\n00:01:24,000 --> 00:01:27,000\nIndia is immense. It will transform", "34\n00:01:27,000 --> 00:01:30,000\nevery industry and organization from the", "35\n00:01:30,000 --> 00:01:32,000\nlargest enterprises to the smallest", "36\n00:01:32,000 --> 00:01:35,000\nKirana store. Google and Reliance are", "37\n00:01:35,000 --> 00:01:37,000\npartnering to help all of Reliance's", "38\n00:01:37,000 --> 00:01:40,000\nbusinesses transform using AI from", "39\n00:01:40,000 --> 00:01:43,000\nenergy and retail to telecom and", "40\n00:01:43,000 --> 00:01:46,000\nfinancial services. To support this AI", "41\n00:01:46,000 --> 00:01:49,000\nadoption, together we are establishing a", "42\n00:01:49,000 --> 00:01:53,000\nJam Nagar cloud region built for and", "43\n00:01:53,000 --> 00:01:56,000\ndedicated to Reliance. It will bring", "44\n00:01:56,000 --> 00:01:58,000\nworldclass AI and compute from Google", "45\n00:01:58,000 --> 00:02:01,000\nCloud powered by clean energy from", "46\n00:02:01,000 --> 00:02:04,000\nReliance and connected by Jio's advanced", "47\n00:02:04,000 --> 00:02:06,000\nnetwork.", "48\n00:02:06,000 --> 00:02:08,000\nAs Reliance's largest public cloud", "49\n00:02:08,000 --> 00:02:11,000\npartner, Google Cloud is not only", "50\n00:02:11,000 --> 00:02:12,000\npowering the company's mission critical", "51\n00:02:12,000 --> 00:02:15,000\nworkloads, we are innovating with you on", "52\n00:02:15,000 --> 00:02:18,000\nadvanced AI initiatives. And with", "53\n00:02:18,000 --> 00:02:21,000\nReliance and the Geo ecosystem, we are", "54\n00:02:21,000 --> 00:02:23,000\nexcited to put AI into the hands of more", "55\n00:02:23,000 --> 00:02:27,000\npeople and businesses so they can do", "56\n00:02:27,000 --> 00:02:30,000\nextraordinary things as well. This is", "57\n00:02:30,000 --> 00:02:33,000\nonly the beginning. Thank you and I look", "58\n00:02:33,000 --> 00:02:37,000\nforward to building India's AI future", "59\n00:02:37,000 --> 00:02:39,000\ntogether.", "60\n00:02:39,000 --> 00:02:40,000\n[Applause]", "61\n00:02:40,000 --> 00:02:48,000\n[Music]", "62\n00:02:48,000 --> 00:02:50,000\nIn a world where business never stops,", "63\n00:02:50,000 --> 00:02:52,000\nMint keeps you ahead. Any screen,", "64\n00:02:52,000 --> 00:02:56,000\nanytime from studios to the ground,", "65\n00:02:56,000 --> 00:02:57,000\nMint is doing brilliantly well. It's a", "66\n00:02:57,000 --> 00:03:00,000\nwell read page, I would think.", "67\n00:03:00,000 --> 00:03:02,000\nMint breaks down business, leadership", "68\n00:03:02,000 --> 00:03:04,000\nand lifestyle. Boldly, visually, and", "69\n00:03:04,000 --> 00:03:06,000\nsmartly.", "70\n00:0
| 350,295
|
|||
Maybe Microsoft just released a huge 40-page white paper looking at the jobs that are most likely to be displaced and the ones that are least likely to be displaced. It really does sort of cross the spectrum. It doesn't look like anybody's particularly safe.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| false
| true
|
["employment", "job displacement", "artificial intelligence", "technology impact"]
|
["Microsoft"]
|
["Microsoft"]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:06:06 - 00:06:54
|
2025-08-02T02:01:17.517091+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,180
|
|||
The US return on invested capital relative to other countries is expected to increase due to corporate tax cuts, supporting the dollar and making the US more attractive for investment despite tariff uncertainties and geopolitical risks.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["investment", "corporate tax cuts", "currency", "tariffs", "geopolitical risk"]
|
["United States", "China", "Mexico", "Federal Reserve"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
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2025-08-01T23:06:28.496000+00:00
|
00:19:46 - 00:20:26
|
2025-08-02T02:11:24.345495+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,381
|
|||
At Meta, we believe in putting the power of super intelligence in people's hands to direct it towards what they value in their own lives.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2025-07-01
|
Meta Platforms
|
Meta CEO Mark Zuckerberg Announces Superintelligence Labs To Build AI Assistants For Every Human
|
https://www.youtube.com/watch?v=-KkCWPcEHWM
| true
| false
| false
|
["artificial intelligence", "user empowerment", "technology ethics"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
TechToday #AIAssistants #MarkZuckerberg #Meta #Superintelligence #ArtificialIntelligence #MetaAI #FutureTech #PersonalAI ...
|
2025-08-02T08:54:52.656000+00:00
|
00:00:55,000 --> 00:01:00,000
|
2025-08-05T11:00:46.644735+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 269,753
| -32
| 1
| 0.97
| 5,013
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAll right, you ready? Hey everyone, I", "2\n00:00:00,000 --> 00:00:02,000\nAll right, you ready? Hey everyone, I", "3\n00:00:02,000 --> 00:00:04,000\nwant to talk about our new effort, Meta", "4\n00:00:04,000 --> 00:00:06,000\nSuper Intelligence Labs, and our vision", "5\n00:00:06,000 --> 00:00:08,000\nto build personal super intelligence for", "6\n00:00:08,000 --> 00:00:11,000\neveryone. AI keeps accelerating, and", "7\n00:00:11,000 --> 00:00:13,000\nover the past few months, we've begun to", "8\n00:00:13,000 --> 00:00:15,000\nsee glimpses of AI systems improving", "9\n00:00:15,000 --> 00:00:17,000\nthemselves. So, developing super", "10\n00:00:17,000 --> 00:00:20,000\nintelligence is now in sight. But", "11\n00:00:20,000 --> 00:00:21,000\nthere's this big open question about", "12\n00:00:21,000 --> 00:00:23,000\nwhat we should direct super intelligence", "13\n00:00:23,000 --> 00:00:26,000\ntowards. A lot has been written about", "14\n00:00:26,000 --> 00:00:28,000\nthe scientific and economic advances", "15\n00:00:28,000 --> 00:00:30,000\nthat AI can bring, and I'm really", "16\n00:00:30,000 --> 00:00:32,000\noptimistic about this. But I think an", "17\n00:00:32,000 --> 00:00:34,000\neven more meaningful impact in our lives", "18\n00:00:34,000 --> 00:00:36,000\nis going to come from everyone having a", "19\n00:00:36,000 --> 00:00:38,000\npersonal super intelligence that helps", "20\n00:00:38,000 --> 00:00:40,000\nyou achieve your goals, create what you", "21\n00:00:40,000 --> 00:00:42,000\nwant to see in the world, be a better", "22\n00:00:42,000 --> 00:00:44,000\nfriend, and grow to become the person", "23\n00:00:44,000 --> 00:00:47,000\nthat you aspire to be. This vision is", "24\n00:00:47,000 --> 00:00:48,000\ndifferent from others in the industry", "25\n00:00:48,000 --> 00:00:50,000\nwho want to direct AI at automating all", "26\n00:00:50,000 --> 00:00:53,000\nof the valuable work. At Meta, we", "27\n00:00:53,000 --> 00:00:55,000\nbelieve in putting the power of super", "28\n00:00:55,000 --> 00:00:57,000\nintelligence in people's hands to direct", "29\n00:00:57,000 --> 00:00:58,000\nit towards what they value in their own", "30\n00:00:58,000 --> 00:01:00,000\nlives. Some of this will be about", "31\n00:01:00,000 --> 00:01:02,000\nimproving productivity, but a lot of it", "32\n00:01:02,000 --> 00:01:05,000\nmay be more personal in nature. This is", "33\n00:01:05,000 --> 00:01:07,000\ngoing to be a new era in some ways, but", "34\n00:01:07,000 --> 00:01:09,000\nin others, it's just a continuation of", "35\n00:01:09,000 --> 00:01:13,000\nhistorical trends. About 200 years ago,", "36\n00:01:13,000 --> 00:01:15,000\n90% of people were farmers growing food", "37\n00:01:15,000 --> 00:01:18,000\nto survive. Today, fewer than 2% grow", "38\n00:01:18,000 --> 00:01:21,000\nall of our food. Advances in technology", "39\n00:01:21,000 --> 00:01:23,000\nhave freed freed much of humanity to", "40\n00:01:23,000 --> 00:01:26,000\nfocus less on subsistence and more on", "41\n00:01:26,000 --> 00:01:28,000\nthe pursuits that we choose. And at each", "42\n00:01:28,000 --> 00:01:30,000\nstep along the way, most people have", "43\n00:01:30,000 --> 00:01:31,000\ndecided to use their newfound", "44\n00:01:31,000 --> 00:01:34,000\nproductivity to spend more time on", "45\n00:01:34,000 --> 00:01:36,000\ncreativity, culture, relationships, and", "46\n00:01:36,000 --> 00:01:38,000\njust enjoying life. And I expect super", "47\n00:01:38,000 --> 00:01:40,000\nintelligence to accelerate this trend", "48\n00:01:40,000 --> 00:01:43,000\neven more. The intersection of", "49\n00:01:43,000 --> 00:01:45,000\ntechnology and culture is where meta", "50\n00:01:45,000 --> 00:01:47,000\nfocuses. And this will only become more", "51\n00:01:47,000 --> 00:01:50,000\nimportant over time. If trends continue,", "52\n00:01:50,000 --> 00:01:53,000\nI expect that people will spend less", "53\n00:01:53,000 --> 00:01:55,000\ntime on productivity software and more", "54\n00:01:55,000 --> 00:01:57,000\ntime creating and connecting. I think", "55\n00:01:57,000 --> 00:01:59,000\nthat personal devices like glasses that", "56\n00:01:59,000 --> 00:02:02,000\ncan see what we see, hear what we hear,", "57\n00:02:02,000 --> 00:02:03,000\nand interact with us throughout the day", "58\n00:02:03,000 --> 00:02:05,000\nare going to become our main computing", "59\n00:02:05,000 --> 00:02:08,000\ndevices. I believe deeply in building", "60\n00:02:08,000 --> 00:02:10,000\npersonal super intelligence for", "61\n00:02:10,000 --> 00:02:12,000\neveryone. And at Meta, we have the", "62\n00:02:12,000 --> 00:02:13,000\nresources to build the massive", "63\n00:02:13,000 --> 00:02:15,000\ninfrastructure required and the ability", "64\n00:02:15,000 --> 00:02:18,000\nto deliver new technology to billions of", "65\n00:02:18,000 --> 00:02:20,000\npeople. I'm excited to build this future", "66\n00:02:20,000 --> 00:02:25,000\nand we've got a lot more to
| 313,058
|
|||
We continue to view a longer-run inflation rate of 2% as most consistent with our dual mandate goals, as it is low enough to ensure inflation is not a concern in household and business decision-making while providing policy flexibility during economic downturns.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| false
| true
|
["inflation target", "monetary policy", "economic stability"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:19:25,000 --> 00:19:54,000
|
2025-08-23T02:30:06.168279+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
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