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- [
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- {
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- "id": 10445,
4
- "url": "https://huggingface.co/blog/Hcompany/holo31",
5
- "title": "Holo3.1: Fast & Local Computer Use Agents",
6
- "source": "Hugging Face",
7
- "summary": null,
8
- "published_at": "2026-06-02T14:13:23+00:00",
9
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
10
- },
11
- {
12
- "id": 10600,
13
- "url": "https://openai.com/index/travelers",
14
- "title": "Travelers deploys AI-powered claims countrywide with OpenAI",
15
- "source": "OpenAI",
16
- "summary": "Travelers built an AI-powered Claim Assistant with OpenAI to guide customers through filing claims, provide 24/7 support, and scale operations during peak demand.",
17
- "published_at": "2026-06-02T12:00:00+00:00",
18
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
19
- },
20
- {
21
- "id": 10601,
22
- "url": "https://openai.com/index/advancing-youth-safety-and-opportunity-through-global-leadership",
23
- "title": "Advancing youth safety and opportunity through global leadership",
24
- "source": "OpenAI",
25
- "summary": "OpenAI calls for global action on youth AI safety through a dedicated AI Safety Institute",
26
- "published_at": "2026-06-02T07:00:00+00:00",
27
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
28
- },
29
- {
30
- "id": 7885,
31
- "url": "https://simonwillison.net/2026/Jun/2/pasted-file-editor/#atom-everything",
32
- "title": "Pasted File Editor",
33
- "source": "Simon Willison",
34
- "summary": "Tool: Pasted File Editor I really like how you can paste a large volume of text into claude.ai (or the Claude desktop/mobile apps) and it will detect it as a large paste and turn it into a file attachment instead. I decided to have Codex desktop build me a version of that as a pr",
35
- "published_at": "2026-06-02T04:13:36+00:00",
36
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
37
- },
38
- {
39
- "id": 7560,
40
- "url": "https://aws.amazon.com/blogs/machine-learning/building-a-secure-auth-code-flow-setup-using-agentcore-gateway-with-mcp-clients/",
41
- "title": "Building a secure auth code flow setup using AgentCore Gateway with MCP clients",
42
- "source": "AWS ML",
43
- "summary": "This post demonstrates how to implement Open Authorization (OAuth) Code flow as an inbound authorization mechanism for MCP servers hosted on Amazon Bedrock AgentCore Gateway. By the end of this guide, you will have a production-ready setup where each AI assistant request is authe",
44
- "published_at": "2026-06-02T03:23:35+00:00",
45
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
46
- },
47
- {
48
- "id": 9000,
49
- "url": "https://openai.com/index/codex-for-knowledge-work",
50
- "title": "Codex is becoming a productivity tool for everyone",
51
- "source": "OpenAI",
52
- "summary": "The Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation, and content creation.",
53
- "published_at": "2026-06-02T02:00:00+00:00",
54
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
55
- },
56
- {
57
- "id": 7260,
58
- "url": "https://aws.amazon.com/blogs/machine-learning/reference-your-own-aws-secrets-manager-secrets-in-amazon-bedrock-agentcore-identity/",
59
- "title": "Reference your own AWS Secrets Manager secrets in Amazon Bedrock AgentCore Identity",
60
- "source": "AWS ML",
61
- "summary": "Today, we’re excited to announce the ability to reference a secret in AWS Secrets Manager for AgentCore Identity, so you can reference your own preconfigured secret from Secrets Manager and retain full control over how it is managed. With this ability, you can extend your organiz",
62
- "published_at": "2026-06-01T22:16:28+00:00",
63
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
64
- },
65
- {
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- "id": 7261,
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- "url": "https://aws.amazon.com/blogs/machine-learning/transforming-rare-cancer-research-with-amazon-quick-integrating-biomedical-databases-for-breakthrough-discoveries/",
68
- "title": "Transforming rare cancer research with Amazon Quick: Integrating biomedical databases for breakthrough discoveries",
69
- "source": "AWS ML",
70
- "summary": "In this post, we walk through how to use Amazon Quick Research to integrate biomedical data sources for rare cancer research. The walkthrough uses pediatric sarcoma as the research domain and draws on publicly available datasets from PubMed and other open biomedical repositories.",
71
- "published_at": "2026-06-01T21:54:16+00:00",
72
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
73
- },
74
- {
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- "id": 7160,
76
- "url": "https://aws.amazon.com/blogs/machine-learning/openai-models-and-codex-on-amazon-bedrock-are-now-generally-available/",
77
- "title": "OpenAI models and Codex on Amazon Bedrock are now generally available",
78
- "source": "AWS ML",
79
- "summary": "GPT-5.5, GPT-5.4, and Codex are now generally available on Amazon Bedrock. Deploy them in production applications and agents today, on Bedrock’s high performance inference engine. ",
80
- "published_at": "2026-06-01T21:31:12+00:00",
81
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
82
- },
83
- {
84
- "id": 7185,
85
- "url": "https://simonwillison.net/2026/Jun/1/hackers-simply-asked-meta-ai/#atom-everything",
86
- "title": "Hackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It Worked",
87
- "source": "Simon Willison",
88
- "summary": "Hackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It Worked I had trouble believing this story was true, but I've seen it verified from multiple sources now: One video shows a hacker starting a conversation with Meta’s AI support bot and asking ",
89
- "published_at": "2026-06-01T21:14:47+00:00",
90
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
91
- },
92
- {
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- "id": 7060,
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- "url": "https://aws.amazon.com/blogs/machine-learning/extending-mcp-support-for-amazon-bedrock-agentcore-gateway-2/",
95
- "title": "Extending MCP support for Amazon Bedrock AgentCore Gateway",
96
- "source": "AWS ML",
97
- "summary": "While deploying Model Context Protocol (MCP) servers in production, enterprises need fine-grained access control across servers, observability into which teams use which tools, security guarantees against data exfiltration, and centralized credential management, all at scale. Ama",
98
- "published_at": "2026-06-01T18:35:03+00:00",
99
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
100
- },
101
- {
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- "id": 7061,
103
- "url": "https://aws.amazon.com/blogs/machine-learning/secure-ai-agents-with-policy-and-lambda-interceptors-in-amazon-bedrock-agentcore-gateway/",
104
- "title": "Secure AI agents with Policy and Lambda interceptors in Amazon Bedrock AgentCore gateway",
105
- "source": "AWS ML",
106
- "summary": "In this post, we use a lakehouse data agent to demonstrate how you can use Policy for deterministic access control and Lambda interceptors for dynamic validation. We then show how to combine Lambda interceptors and Policy to implement a geography-based access control which requir",
107
- "published_at": "2026-06-01T17:54:22+00:00",
108
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
109
- },
110
- {
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- "id": 7062,
112
- "url": "https://aws.amazon.com/blogs/machine-learning/enable-safe-agentic-payments-with-built-in-guardrails-using-amazon-bedrock-agentcore-payments/",
113
- "title": "Enable safe agentic payments with built-in guardrails using Amazon Bedrock AgentCore payments",
114
- "source": "AWS ML",
115
- "summary": "In this post, we address several key risks that surface when designing an agentic payment system, and how to address them with the capabilities of AgentCore payments.",
116
- "published_at": "2026-06-01T17:30:12+00:00",
117
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
118
- },
119
- {
120
- "id": 7200,
121
- "url": "https://openai.com/index/our-views-on-ai-policy-and-political-advocacy",
122
- "title": "Our views on AI policy and political advocacy",
123
- "source": "OpenAI",
124
- "summary": "Our approach to AI policy and political advocacy, transparency, support for thoughtful regulation and AI safety, and that no outside political group speaks on the company’s behalf.",
125
- "published_at": "2026-06-01T17:00:00+00:00",
126
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
127
- },
128
- {
129
- "id": 7063,
130
- "url": "https://aws.amazon.com/blogs/machine-learning/agentops-operationalize-agentic-ai-at-scale-with-amazon-bedrock-agentcore/",
131
- "title": "AgentOps: Operationalize agentic AI at scale with Amazon Bedrock AgentCore",
132
- "source": "AWS ML",
133
- "summary": "When you build agentic AI solutions, you face unique operational challenges. Agents make unpredictable decisions, costs spiral unexpectedly, and debugging non-deterministic failures seems impossible. Agentic AI applications don't just execute predetermined workflows. They reason,",
134
- "published_at": "2026-06-01T16:12:18+00:00",
135
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
136
- },
137
- {
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- "id": 7064,
139
- "url": "https://aws.amazon.com/blogs/machine-learning/accelerate-llm-model-loading-and-increase-context-windows-with-gpudirect-on-amazon-fsx-for-lustre-and-turboquant/",
140
- "title": "Accelerate LLM model loading and increase context windows with GPUDirect on Amazon FSx for Lustre and TurboQuant",
141
- "source": "AWS ML",
142
- "summary": "If you’re iterating on deploying large language models (LLMs) on AWS GPU instances, you’ve probably noticed the larger the model to be loaded into GPU High Bandwidth Memory (HBM), the longer the painful wait until the GPUs are ready for inference. As models grow to hundreds of bi",
143
- "published_at": "2026-06-01T16:07:19+00:00",
144
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
145
- },
146
- {
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- "id": 7065,
148
- "url": "https://aws.amazon.com/blogs/machine-learning/amazon-quick-integration-with-time-series-databases-for-market-intelligence-using-mcp/",
149
- "title": "Amazon Quick integration with time-series databases for market intelligence using MCP",
150
- "source": "AWS ML",
151
- "summary": "In this post, we walk through a practical implementation using KDB-X MCP server integration with Amazon Quick, demonstrating how traders and analysts can ask questions using conversational language and receive actionable insights from datasets. You can apply this same integration",
152
- "published_at": "2026-06-01T16:01:24+00:00",
153
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
154
- },
155
- {
156
- "id": 7015,
157
- "url": "https://blog.google/innovation-and-ai/technology/ai/io-2026-google-ai/",
158
- "title": "How we used Gemini to build Google I/O 2026",
159
- "source": "Google AI",
160
- "summary": "A collage of I/O-related images, including the Antigravity Coffee Co. pop-up, a colorful jellyfish and a still from the Timmy TPU video. The word AI repeats three times on the left of the image, and there are colorful icons, including a sparkle, as well.",
161
- "published_at": "2026-06-01T16:00:00+00:00",
162
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
163
- },
164
- {
165
- "id": 7045,
166
- "url": "https://huggingface.co/blog/JetBrains/mellum2-launch",
167
- "title": "Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains",
168
- "source": "Hugging Face",
169
- "summary": null,
170
- "published_at": "2026-06-01T15:45:17+00:00",
171
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
172
- },
173
- {
174
- "id": 7046,
175
- "url": "https://huggingface.co/blog/ibm-research/agent-logic-and-scalable-ai-adoption",
176
- "title": "Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic",
177
- "source": "Hugging Face",
178
- "summary": null,
179
- "published_at": "2026-06-01T13:51:18+00:00",
180
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
181
- },
182
- {
183
- "id": 6945,
184
- "url": "https://huggingface.co/blog/nfuller/scalable-enterprise-ai-adoption",
185
- "title": "Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic",
186
- "source": "Hugging Face",
187
- "summary": null,
188
- "published_at": "2026-06-01T12:46:01+00:00",
189
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
190
- },
191
- {
192
- "id": 7000,
193
- "url": "https://openai.com/index/stargate-michigan-data-center",
194
- "title": "Building the infrastructure for the Intelligence Age in Michigan",
195
- "source": "OpenAI",
196
- "summary": "OpenAI breaks ground on a 1GW data center project in Michigan as part of Stargate, building AI infrastructure to expand access, create jobs, and support communities.",
197
- "published_at": "2026-06-01T12:00:00+00:00",
198
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
199
- },
200
- {
201
- "id": 7202,
202
- "url": "https://openai.com/index/openai-frontier-models-and-codex-are-now-available-on-aws",
203
- "title": "OpenAI frontier models and Codex are now available on AWS",
204
- "source": "OpenAI",
205
- "summary": "OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement workflows they already use. Customers can get started with OpenAI on AWS and move faster from evaluation",
206
- "published_at": "2026-06-01T10:00:00+00:00",
207
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
208
- },
209
- {
210
- "id": 4485,
211
- "url": "https://simonwillison.net/2026/Jun/1/may-newsletter/#atom-everything",
212
- "title": "May 2026 newsletter",
213
- "source": "Simon Willison",
214
- "summary": "I just sent out the May edition of my sponsors-only monthly newsletter. If you are a sponsor (or if you start a sponsorship now) you can access it here. This month: Al got expensive, and Anthropic had a really good month The model releases were a little disappointing Conferences ",
215
- "published_at": "2026-06-01T04:45:00+00:00",
216
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
217
- },
218
- {
219
- "id": 4445,
220
- "url": "https://huggingface.co/blog/nvidia/cosmos-3-for-physical-ai",
221
- "title": "Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action",
222
- "source": "Hugging Face",
223
- "summary": null,
224
- "published_at": "2026-06-01T04:44:55+00:00",
225
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
226
- },
227
- {
228
- "id": 3185,
229
- "url": "https://simonwillison.net/2026/May/31/datasette/#atom-everything",
230
- "title": "datasette 1.0a32",
231
- "source": "Simon Willison",
232
- "summary": "Release: datasette 1.0a32 A minor bugfix release. Fixes a bug with INSERT ... RETURNING queries via the new /db/-/execute-write endpoint and a bunch of base_url issues which showed up when I was experimenting with Service Workers yesterday. Tags: datasette, annotated-release-note",
233
- "published_at": "2026-05-31T23:23:38+00:00",
234
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
235
- },
236
- {
237
- "id": 3085,
238
- "url": "https://simonwillison.net/2026/May/31/the-solution-might-be-cancelling-my-ai-subscription/#atom-everything",
239
- "title": "The solution might be cancelling my AI subscription",
240
- "source": "Simon Willison",
241
- "summary": "The solution might be cancelling my AI subscription I find this post by David Wilson very relatable. David lists 16+ projects he's spun up with AI tooling, and concludes: I didn't mean to build most of these things. Usually the Claude session started with something like \"write a ",
242
- "published_at": "2026-05-31T16:31:32+00:00",
243
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
244
- },
245
- {
246
- "id": 2685,
247
- "url": "https://simonwillison.net/2026/May/31/anthropic-run-rate/#atom-everything",
248
- "title": "Quoting Karen Kwok for Reuters Breakingviews",
249
- "source": "Simon Willison",
250
- "summary": "Anthropic defines “run-rate revenue” in two parts. Use the last 28 days of sales ⁠from customers charged on a consumption basis and multiply it by 13. Then, multiply the monthly subscription take by 12, ​and add the two together. — Karen Kwok for Reuters Breakingviews, citi",
251
- "published_at": "2026-05-31T01:48:12+00:00",
252
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
253
- },
254
- {
255
- "id": 2085,
256
- "url": "https://simonwillison.net/2026/May/30/how-we-contain-claude/#atom-everything",
257
- "title": "How we contain Claude across products",
258
- "source": "Simon Willison",
259
- "summary": "How we contain Claude across products A complaint I often have about sandboxing products is that they are rarely thoroughly documented, and in the absence of detailed documentation it's hard to know how much I can trust them. Anthropic just published a fantastic overview of how t",
260
- "published_at": "2026-05-30T21:36:24+00:00",
261
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
262
- },
263
- {
264
- "id": 1886,
265
- "url": "https://simonwillison.net/2026/May/30/retiring-from-tech-to-live-offline/#atom-everything",
266
- "title": "I Am Retiring from Tech to Live Offline",
267
- "source": "Simon Willison",
268
- "summary": "I Am Retiring from Tech to Live Offline I've seen a lot of posts on forums from people threatening to quit their careers over AI. This is not one of those: Chad Whitacre is taking concrete steps, starting with this typewritten, scanned letter I'm retiring from tech. Well, \"retiri",
269
- "published_at": "2026-05-30T19:39:08+00:00",
270
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
271
- },
272
- {
273
- "id": 1887,
274
- "url": "https://simonwillison.net/2026/May/30/daniel-jalkut/#atom-everything",
275
- "title": "Quoting Daniel Jalkut",
276
- "source": "Simon Willison",
277
- "summary": "My take on AI is, essentially, everybody who’s against it is too against it and everybody who’s for it is too for it. — Daniel Jalkut, via John Gruber Tags: ai, john-gruber",
278
- "published_at": "2026-05-30T17:29:55+00:00",
279
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
280
- },
281
- {
282
- "id": 1885,
283
- "url": "https://simonwillison.net/2026/May/30/pyodide-asgi-browser/#atom-everything",
284
- "title": "Running Python ASGI apps in the browser via Pyodide + a service worker",
285
- "source": "Simon Willison",
286
- "summary": "Research: Running Python ASGI apps in the browser via Pyodide + a service worker Datasette Lite is my version of Datasette that runs entirely in the browser using Pyodide in WebAssembly. When I first built it four years ago I used Web Workers and code that intercepts navigation o",
287
- "published_at": "2026-05-30T15:34:00+00:00",
288
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
289
- },
290
- {
291
- "id": 61,
292
- "url": "https://aws.amazon.com/blogs/machine-learning/comprehensive-observability-for-amazon-sagemaker-ai-llm-inference-from-gpu-utilization-to-llm-quality/",
293
- "title": "Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality",
294
- "source": "AWS ML",
295
- "summary": "This post demonstrates a comprehensive observability solution using Amazon Managed Grafana dashboards that provides a holistic view of both quality and quantity for LLMs served on Amazon SageMaker AI endpoints with inference components.",
296
- "published_at": "2026-05-29T23:36:58+00:00",
297
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
298
- },
299
- {
300
- "id": 16,
301
- "url": "https://blog.google/innovation-and-ai/technology/ai/io-2026-vibe-coded-quiz/",
302
- "title": "Take our I/O 2026 quiz, vibe coded in Google AI Studio.",
303
- "source": "Google AI",
304
- "summary": "We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.",
305
- "published_at": "2026-05-29T19:00:00+00:00",
306
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
307
- },
308
- {
309
- "id": 17,
310
- "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-omni-3-5-videos/",
311
- "title": "9 demos of Gemini Omni and Gemini 3.5 in action",
312
- "source": "Google AI",
313
- "summary": "Gemini Omni & Gemini 3.5 hero",
314
- "published_at": "2026-05-29T17:30:00+00:00",
315
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
316
- },
317
- {
318
- "id": 18,
319
- "url": "https://blog.google/innovation-and-ai/technology/ai/university-waterloo-labs/",
320
- "title": "Check out real-life AI prototypes from the Futures Lab.",
321
- "source": "Google AI",
322
- "summary": "University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.",
323
- "published_at": "2026-05-29T12:00:00+00:00",
324
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
325
- },
326
- {
327
- "id": 2,
328
- "url": "https://openai.com/index/braintrust",
329
- "title": "How Braintrust turns customer requests into code with Codex",
330
- "source": "OpenAI",
331
- "summary": "How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.",
332
- "published_at": "2026-05-29T12:00:00+00:00",
333
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
334
- },
335
- {
336
- "id": 1,
337
- "url": "https://openai.com/index/boston-childrens-hospital",
338
- "title": "Boston Children’s uses AI to unlock new diagnoses",
339
- "source": "OpenAI",
340
- "summary": "Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.",
341
- "published_at": "2026-05-29T12:00:00+00:00",
342
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
343
- },
344
- {
345
- "id": 86,
346
- "url": "https://simonwillison.net/2026/May/29/datasette/#atom-everything",
347
- "title": "datasette 1.0a31",
348
- "source": "Simon Willison",
349
- "summary": "Release: datasette 1.0a31 Another significant alpha release, with two new headline features. Datasette now offers users with the necessary permissions the ability to both execute write queries against their database and to save stored queries (renamed from \"canned queries\") both ",
350
- "published_at": "2026-05-29T03:32:02+00:00",
351
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
352
- },
353
- {
354
- "id": 3,
355
- "url": "https://openai.com/index/strengthening-societal-resilience-with-rosalind-biodefense",
356
- "title": "Strengthening societal resilience with Rosalind Biodefense",
357
- "source": "OpenAI",
358
- "summary": "OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI.",
359
- "published_at": "2026-05-29T03:00:00+00:00",
360
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
361
- },
362
- {
363
- "id": 87,
364
- "url": "https://simonwillison.net/2026/May/29/anthropic/#atom-everything",
365
- "title": "Anthropic's run-rate revenue hits $47 billion",
366
- "source": "Simon Willison",
367
- "summary": "The most interesting thing about Anthropic's $65B Series H announcement is this line (emphasis mine): Since our Series G in February, adoption has continued to grow across global enterprise customers, and our run-rate revenue crossed $47 billion earlier this month. Anthropic have",
368
- "published_at": "2026-05-29T01:23:08+00:00",
369
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
370
- },
371
- {
372
- "id": 4,
373
- "url": "https://openai.com/index/trustworthy-third-party-evaluations-foundations",
374
- "title": "A shared playbook for trustworthy third party evaluations",
375
- "source": "OpenAI",
376
- "summary": "OpenAI shares guidance on third-party AI evaluations, covering how to assess model capabilities, safeguards, and validity for frontier systems.",
377
- "published_at": "2026-05-29T00:00:00+00:00",
378
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
379
- },
380
- {
381
- "id": 46,
382
- "url": "https://huggingface.co/blog/torch-profiler",
383
- "title": "Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler",
384
- "source": "Hugging Face",
385
- "summary": null,
386
- "published_at": "2026-05-29T00:00:00+00:00",
387
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
388
- },
389
- {
390
- "id": 88,
391
- "url": "https://simonwillison.net/2026/May/28/claude-opus-4-8/#atom-everything",
392
- "title": "Claude Opus 4.8: \"a modest but tangible improvement\"",
393
- "source": "Simon Willison",
394
- "summary": "Anthropic shipped Claude Opus 4.8 today. My favourite thing about it is this note in the release announcement: Users will find Opus 4.8 to be a modest but tangible improvement on its predecessor. There’s still more to be done: we’re working on developing and releasing models that",
395
- "published_at": "2026-05-28T23:59:50+00:00",
396
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
397
- },
398
- {
399
- "id": 89,
400
- "url": "https://simonwillison.net/2026/May/28/llm-anthropic/#atom-everything",
401
- "title": "llm-anthropic 0.25.1",
402
- "source": "Simon Willison",
403
- "summary": "Release: llm-anthropic 0.25.1 New model: Claude Opus 4.8 (claude-opus-4.8). New -o fast 1 option for fast mode, for organizations with that feature enabled on their account. Default max_tokens for each model now defaults to that model's maximum output rather than 8,192. #72 See a",
404
- "published_at": "2026-05-28T23:54:56+00:00",
405
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
406
- },
407
- {
408
- "id": 62,
409
- "url": "https://aws.amazon.com/blogs/machine-learning/training-azerbaijani-language-models-on-amazon-sagemaker-ai/",
410
- "title": "Training Azerbaijani language models on Amazon SageMaker AI",
411
- "source": "AWS ML",
412
- "summary": "Azercell Telecom LLC, Azerbaijan's leading telecommunications provider, wanted to build an Azerbaijani large language model (LLM) on Amazon SageMaker AI for telecom use cases and a customer-facing chatbot. The challenge: adapting foundation models (FMs) to a morphologically rich ",
413
- "published_at": "2026-05-28T21:54:06+00:00",
414
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
415
- },
416
- {
417
- "id": 63,
418
- "url": "https://aws.amazon.com/blogs/machine-learning/build-a-custom-portal-with-embedded-amazon-sagemaker-ai-mlflow-apps/",
419
- "title": "Build a custom portal with embedded Amazon SageMaker AI MLflow Apps",
420
- "source": "AWS ML",
421
- "summary": "In this post, you learn how to build a custom portal with embedded SageMaker AI MLflow Apps UI. You walk through the architecture pattern behind a React front end paired with a Flask reverse proxy that handles AWS Signature Version 4 (SigV4) authentication, deploy the entire stac",
422
- "published_at": "2026-05-28T20:39:22+00:00",
423
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
424
- },
425
- {
426
- "id": 64,
427
- "url": "https://aws.amazon.com/blogs/machine-learning/streamline-external-access-to-amazon-sagemaker-mlflow-using-a-rest-api-proxy/",
428
- "title": "Streamline external access to Amazon SageMaker MLflow using a REST API proxy",
429
- "source": "AWS ML",
430
- "summary": "In this post, we demonstrate how to build a secure Flask-based MLflow proxy service that provides HTTPS access to Amazon SageMaker MLflow without requiring the MLflow SDK. This solution is for organizations undergoing cloud transformation who want to preserve their existing ML wo",
431
- "published_at": "2026-05-28T20:35:44+00:00",
432
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
433
- },
434
- {
435
- "id": 65,
436
- "url": "https://aws.amazon.com/blogs/machine-learning/evaluating-deep-agents-using-langsmith-on-aws/",
437
- "title": "Evaluating Deep Agents using LangSmith on AWS",
438
- "source": "AWS ML",
439
- "summary": "This post combines learnings from LangChain’s work on evaluating deep agents and Anthropic’s guide to demystifying evals for AI agents into a practical guide. In this post, you will learn how to: 1) apply five evaluation patterns for deep agents, 2) build offline evaluations usin",
440
- "published_at": "2026-05-28T20:32:23+00:00",
441
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
442
- },
443
- {
444
- "id": 90,
445
- "url": "https://simonwillison.net/2026/May/28/markdown-svg-renderer/#atom-everything",
446
- "title": "markdown-svg-renderer",
447
- "source": "Simon Willison",
448
- "summary": "Tool: markdown-svg-renderer A slightly customized Markdown rendering tool with special treatment for fenced code SVG blocks - it both renders the image and provides a tab for switching to the code view. You can paste in Markdown or give it a URL to a CORS-enabled Markdown file or",
449
- "published_at": "2026-05-28T19:45:14+00:00",
450
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
451
- },
452
- {
453
- "id": 66,
454
- "url": "https://aws.amazon.com/blogs/machine-learning/build-a-test-suite-that-grows-with-your-agent-with-dataset-management-in-amazon-bedrock-agentcore/",
455
- "title": "Build a test suite that grows with your agent with dataset management in Amazon Bedrock AgentCore",
456
- "source": "AWS ML",
457
- "summary": "Agent evaluation is most powerful when you combine fast-moving online signals with stable offline baselines. To understand whether your agent is truly improving over time, you need a fixed benchmark alongside your changing real-world traffic. Managing test cases for evaluation ba",
458
- "published_at": "2026-05-28T18:10:47+00:00",
459
- "updated_at": "2026-06-02T02:40:45.885837+00:00"
460
- },
461
- {
462
- "id": 67,
463
- "url": "https://aws.amazon.com/blogs/machine-learning/claude-opus-4-8-is-now-available-on-aws/",
464
- "title": "Claude Opus 4.8 is now available on AWS",
465
- "source": "AWS ML",
466
- "summary": "This post covers Opus 4.8's improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock.",
467
- "published_at": "2026-05-28T17:51:32+00:00",
468
- "updated_at": "2026-06-01T21:36:52.664184+00:00"
469
- },
470
- {
471
- "id": 68,
472
- "url": "https://aws.amazon.com/blogs/machine-learning/automate-aml-alert-triage-with-amazon-quick-and-snowflake-cortex-ai/",
473
- "title": "Automate AML alert triage with Amazon Quick and Snowflake Cortex AI",
474
- "source": "AWS ML",
475
- "summary": "This post demonstrates that integration in action by automating one of the most labor-intensive workflows in financial services: anti-money laundering (AML) alert triage. You will build a triage workflow using Amazon Quick Flows and Snowflake Cortex, connected through the Amazon ",
476
- "published_at": "2026-05-28T16:41:07+00:00",
477
- "updated_at": "2026-06-01T21:36:52.664184+00:00"
478
- },
479
- {
480
- "id": 19,
481
- "url": "https://blog.google/innovation-and-ai/technology/ai/io-2026-keynote-moment-videos/",
482
- "title": "Catch up on 12 major I/O 2026 moments",
483
- "source": "Google AI",
484
- "summary": "The colorful I/O logo against a black background, surrounded by stills from the I/O keynote",
485
- "published_at": "2026-05-28T15:00:00+00:00",
486
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
487
- },
488
- {
489
- "id": 5,
490
- "url": "https://openai.com/index/endava",
491
- "title": "How Endava builds an agentic organization with Codex",
492
- "source": "OpenAI",
493
- "summary": "Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.",
494
- "published_at": "2026-05-28T12:00:00+00:00",
495
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
496
- },
497
- {
498
- "id": 7,
499
- "url": "https://openai.com/index/mufg",
500
- "title": "MUFG aims to become AI-native with OpenAI",
501
- "source": "OpenAI",
502
- "summary": "MUFG uses ChatGPT Enterprise to build an AI-native organization, improve workflows, and deliver new AI-powered financial services at scale.",
503
- "published_at": "2026-05-28T00:00:00+00:00",
504
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
505
- },
506
- {
507
- "id": 6,
508
- "url": "https://openai.com/index/openai-frontier-governance-framework",
509
- "title": "OpenAI’s Frontier Governance Framework",
510
- "source": "OpenAI",
511
- "summary": "Explore OpenAI’s Frontier Governance Framework and how our AI safety, security, and risk practices align with emerging EU and California regulations.",
512
- "published_at": "2026-05-28T00:00:00+00:00",
513
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
514
- },
515
- {
516
- "id": 91,
517
- "url": "https://simonwillison.net/2026/May/27/sqlite-agents/#atom-everything",
518
- "title": "sqlite AGENTS.md",
519
- "source": "Simon Willison",
520
- "summary": "sqlite AGENTS.md SQLite gained an AGENTS.md file five days ago - but it's not intended for their own development, it's presumably aimed at people who are pointing agents at the SQLite codebase. It includes: SQLite does not accept pull requests without prior agreement and/or accom",
521
- "published_at": "2026-05-27T23:44:37+00:00",
522
- "updated_at": "2026-06-02T04:13:53.155014+00:00"
523
- },
524
- {
525
- "id": 69,
526
- "url": "https://aws.amazon.com/blogs/machine-learning/process-financial-documents-using-amazon-bedrock-data-automation/",
527
- "title": "Process financial documents using Amazon Bedrock Data Automation",
528
- "source": "AWS ML",
529
- "summary": "In this post, we explore how Amazon Bedrock Data Automation can accurately extract information from four common types of financial documents: bank statements, W-2 forms, 1099-B tax forms, and vendor contracts. We highlight the complexity in the documents, detail the custom extrac",
530
- "published_at": "2026-05-27T21:28:53+00:00",
531
- "updated_at": "2026-06-01T21:14:34.740142+00:00"
532
- },
533
- {
534
- "id": 70,
535
- "url": "https://aws.amazon.com/blogs/machine-learning/building-ai-agents-for-business-support-using-amazon-bedrock-agentcore/",
536
- "title": "Building AI agents for business support using Amazon Bedrock AgentCore",
537
- "source": "AWS ML",
538
- "summary": "In this post, we share how the AWS Generative AI Innovation Center (GenAIIC) collaborated with Works Human Intelligence (WHI) to build two AI agents using Amazon Bedrock AgentCore. We discuss the challenges encountered and the solutions that reduced costs by up to 97% while impro",
539
- "published_at": "2026-05-27T20:06:34+00:00",
540
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
541
- },
542
- {
543
- "id": 71,
544
- "url": "https://aws.amazon.com/blogs/machine-learning/from-data-overload-to-actionable-insights-how-verizon-connect-scaled-agentic-ai-to-100000-users/",
545
- "title": "From data overload to actionable insights: How Verizon Connect scaled agentic AI to 100,000 users",
546
- "source": "AWS ML",
547
- "summary": "In this post, we show you how Verizon Connect built and scaled an agentic AI solution to transform overwhelming fleet data into clear, actionable insights for 100,000 users daily. We walk you through the architectural decisions, implementation challenges, and measurable results t",
548
- "published_at": "2026-05-27T20:01:06+00:00",
549
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
550
- },
551
- {
552
- "id": 72,
553
- "url": "https://aws.amazon.com/blogs/machine-learning/how-aws-smgs-uses-an-ai-powered-conversational-assistant-to-transform-business-management-with-amazon-bedrock-agentcore/",
554
- "title": "How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore",
555
- "source": "AWS ML",
556
- "summary": "In this post, we share how we built NarrateAI using Amazon Bedrock AgentCore to deliver business intelligence at scale for the AWS SMGS (Sales, Marketing and Global Services) organization. You will learn about: the two-layer architecture that separates batch processing from real-",
557
- "published_at": "2026-05-27T18:51:45+00:00",
558
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
559
- },
560
- {
561
- "id": 73,
562
- "url": "https://aws.amazon.com/blogs/machine-learning/powering-agentic-ai-sales-strategy-with-amazon-bedrock-agentcore/",
563
- "title": "Powering agentic AI sales strategy with Amazon Bedrock AgentCore",
564
- "source": "AWS ML",
565
- "summary": "As agent adoption scaled, we saw a common pattern emerge across enterprises, including our own sales organization: specialized agents deliver value, but without orchestration, users carry the cognitive load of choosing between them. At AWS Sales, this meant more than 20 domain-sp",
566
- "published_at": "2026-05-27T18:00:07+00:00",
567
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
568
- },
569
- {
570
- "id": 47,
571
- "url": "https://huggingface.co/blog/ibm-research/itbench-aa",
572
- "title": "ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM",
573
- "source": "Hugging Face",
574
- "summary": null,
575
- "published_at": "2026-05-27T17:20:29+00:00",
576
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
577
- },
578
- {
579
- "id": 92,
580
- "url": "https://simonwillison.net/2026/May/27/product-market-fit/#atom-everything",
581
- "title": "I think Anthropic and OpenAI have found product-market fit",
582
- "source": "Simon Willison",
583
- "summary": "Anthropic are strongly rumored to be about to have their first profitable quarter. Stories are circulating of companies surprised at how expensive their LLM bills are becoming from usage by their staff. I think this is because OpenAI and Anthropic have both found product-market f",
584
- "published_at": "2026-05-27T16:38:35+00:00",
585
- "updated_at": "2026-06-01T21:14:34.740142+00:00"
586
- },
587
- {
588
- "id": 8,
589
- "url": "https://openai.com/index/cisco",
590
- "title": "Cisco and OpenAI redefine enterprise engineering with Codex",
591
- "source": "OpenAI",
592
- "summary": "Cisco and OpenAI are redefining enterprise engineering with Codex, helping Cisco scale AI-native development, accelerate AI Defense work, and automate defect remediation.",
593
- "published_at": "2026-05-27T11:00:00+00:00",
594
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
595
- },
596
- {
597
- "id": 9,
598
- "url": "https://openai.com/index/building-self-improving-tax-agents-with-codex",
599
- "title": "Building self-improving tax agents with Codex",
600
- "source": "OpenAI",
601
- "summary": "See how OpenAI, Thrive, and Crete built a self-improving tax agent with Codex, automating filings, improving accuracy, and accelerating workflows.",
602
- "published_at": "2026-05-27T07:00:00+00:00",
603
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
604
- },
605
- {
606
- "id": 93,
607
- "url": "https://simonwillison.net/2026/May/27/kyle-ferrana/#atom-everything",
608
- "title": "Quoting Kyle Ferrana",
609
- "source": "Simon Willison",
610
- "summary": "PICARD: Data, shields up DATA: Brilliant! Shields can reduce damage we sustain. Not immunity. Not hubris. Just prudence. It's not precaution—it's strategy. [camera shakes] WORF: HULL BREACHES ON NINE DECKS DATA: Here's what happened: you told me to raise shields, and I didn't &md",
611
- "published_at": "2026-05-27T06:41:43+00:00",
612
- "updated_at": "2026-06-01T04:18:44.278398+00:00"
613
- },
614
- {
615
- "id": 10,
616
- "url": "https://openai.com/index/election-safeguards-2026",
617
- "title": "Election information and safeguards in 2026",
618
- "source": "OpenAI",
619
- "summary": "Ahead of global elections, we’re helping people access information, supporting cyber defenders, and increasing AI transparency",
620
- "published_at": "2026-05-27T00:00:00+00:00",
621
- "updated_at": "2026-06-02T14:23:26.140785+00:00"
622
- },
623
- {
624
- "id": 11,
625
- "url": "https://openai.com/index/warp",
626
- "title": "Warp’s big bet on building open source with GPT-5.5",
627
- "source": "OpenAI",
628
- "summary": "Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.",
629
- "published_at": "2026-05-27T00:00:00+00:00",
630
- "updated_at": "2026-06-02T14:23:26.140785+00:00"
631
- },
632
- {
633
- "id": 48,
634
- "url": "https://huggingface.co/blog/local-reachy-mini-conversation",
635
- "title": "Reachy Mini goes fully local",
636
- "source": "Hugging Face",
637
- "summary": null,
638
- "published_at": "2026-05-27T00:00:00+00:00",
639
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
640
- },
641
- {
642
- "id": 49,
643
- "url": "https://huggingface.co/blog/delta-weight-sync",
644
- "title": "Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL",
645
- "source": "Hugging Face",
646
- "summary": null,
647
- "published_at": "2026-05-27T00:00:00+00:00",
648
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
649
- },
650
- {
651
- "id": 94,
652
- "url": "https://simonwillison.net/2026/May/26/the-pressure/#atom-everything",
653
- "title": "The pressure",
654
- "source": "Simon Willison",
655
- "summary": "The pressure Daniel Stenberg on the unprecedented level of pressure the curl team are facing right now thanks to the deluge of (credible) AI-assisted security issues being reported. The rate of incoming security reports is 4-5 times higher than it was in 2024 and double the speed",
656
- "published_at": "2026-05-26T23:48:45+00:00",
657
- "updated_at": "2026-05-31T22:34:48.221328+00:00"
658
- },
659
- {
660
- "id": 74,
661
- "url": "https://aws.amazon.com/blogs/machine-learning/technical-deep-dive-agentcore-payments-and-innovation-in-agentic-commerce/",
662
- "title": "Technical deep dive: AgentCore payments and innovation in agentic commerce",
663
- "source": "AWS ML",
664
- "summary": "Amazon Bedrock AgentCore payments is now available in preview, it provides instant payments to paid external services with no manual billing setup per provider, stablecoin support for cost-effective microtransactions that make sub-cent transactions economically viable, and config",
665
- "published_at": "2026-05-26T17:57:18+00:00",
666
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
667
- },
668
- {
669
- "id": 75,
670
- "url": "https://aws.amazon.com/blogs/machine-learning/build-highly-scalable-serverless-langgraph-multi-agent-systems-in-aws-with-amazon-bedrock-agentcore/",
671
- "title": "Build highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore",
672
- "source": "AWS ML",
673
- "summary": "In this post, we provide a solution to build highly scalable, serverless multi-agent generative AI systems on AWS using LangGraph Agents as orchestrators integrated with Amazon Bedrock AgentCore Memory and Amazon Bedrock AgentCore Observability.",
674
- "published_at": "2026-05-26T17:41:26+00:00",
675
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
676
- },
677
- {
678
- "id": 95,
679
- "url": "https://simonwillison.net/2026/May/26/copilot-cowork-exfiltrates-files/#atom-everything",
680
- "title": "Microsoft Copilot Cowork Exfiltrates Files",
681
- "source": "Simon Willison",
682
- "summary": "Microsoft Copilot Cowork Exfiltrates Files The biggest challenge in designing agentic systems continues to be preventing them from enabling attackers to exfiltrate data. In this case Microsoft Copilot Cowork (yes, that's a real product name) was allowing agents to send emails to ",
683
- "published_at": "2026-05-26T15:36:48+00:00",
684
- "updated_at": "2026-05-31T10:34:16.863655+00:00"
685
- },
686
- {
687
- "id": 96,
688
- "url": "https://simonwillison.net/2026/May/26/paul-graham/#atom-everything",
689
- "title": "Quoting Paul Graham",
690
- "source": "Simon Willison",
691
- "summary": "A lot of the emails I get from founders are now written in a hard-hitting journalistic style. I know they're written by AI, because no founder ever wrote this way before. And once you realize something is written by AI, it's hard not to ignore it. I have never knowingly finished ",
692
- "published_at": "2026-05-26T15:02:30+00:00",
693
- "updated_at": "2026-05-30T22:57:33.939942+00:00"
694
- },
695
- {
696
- "id": 97,
697
- "url": "https://simonwillison.net/2026/May/26/corey-quinn/#atom-everything",
698
- "title": "Quoting Corey Quinn",
699
- "source": "Simon Willison",
700
- "summary": "I cannot believe I'm saying this, but getting the literal Pope to canonize your product's specific technical limitations as a spiritual treatise is the single greatest act of vendor lobbying I have ever seen. — Corey Quinn, on Anthropic co-founder Christopher Olah's influen",
701
- "published_at": "2026-05-26T02:28:54+00:00",
702
- "updated_at": "2026-05-30T21:51:36.842968+00:00"
703
- },
704
- {
705
- "id": 98,
706
- "url": "https://simonwillison.net/2026/May/25/encyclical-on-ai/#atom-everything",
707
- "title": "Notes on Pope Leo XIV's encyclical on AI",
708
- "source": "Simon Willison",
709
- "summary": "Dropped this morning by the Vatican: Magnifica Humanitas of His Holiness Pope Leo XIV on Safeguarding the Human Person in the Time of Artificial Intelligence. This is a very interesting document. It's some of the clearest writing I've seen on the ethics of integrating AI into mod",
710
- "published_at": "2026-05-25T23:58:17+00:00",
711
- "updated_at": "2026-05-30T15:47:12.601841+00:00"
712
- },
713
- {
714
- "id": 99,
715
- "url": "https://simonwillison.net/2026/May/25/sighting-365297287/#atom-everything",
716
- "title": "California Brown Pelican, Snowy Egret, California Sea Lion, Harbor Seal",
717
- "source": "Simon Willison",
718
- "summary": "California Brown Pelican, Snowy Egret, California Sea Lion, Harbor Seal, in San Mateo County, CA, USWe took our new folding kayak out in the harbor and saw sea lions and harbor seals chilling on the docks.",
719
- "published_at": "2026-05-25T23:08:00+00:00",
720
- "updated_at": "2026-05-30T15:47:12.601841+00:00"
721
- },
722
- {
723
- "id": 50,
724
- "url": "https://huggingface.co/blog/agent-glossary",
725
- "title": "Harness, Scaffold, and the AI Agent Terms Worth Getting Right",
726
- "source": "Hugging Face",
727
- "summary": null,
728
- "published_at": "2026-05-25T00:00:00+00:00",
729
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
730
- },
731
- {
732
- "id": 12,
733
- "url": "https://openai.com/index/grupo-folha-grupo-uol-partnership",
734
- "title": "OpenAI, Grupo Folha and Grupo UOL announce strategic content partnership",
735
- "source": "OpenAI",
736
- "summary": "OpenAI partners with Grupo Folha and Grupo UOL to bring trusted Brazilian journalism to ChatGPT, expanding access to news with attribution and transparency.",
737
- "published_at": "2026-05-25T00:00:00+00:00",
738
- "updated_at": "2026-06-02T07:50:57.645069+00:00"
739
- },
740
- {
741
- "id": 100,
742
- "url": "https://simonwillison.net/2026/May/24/datasette/#atom-everything",
743
- "title": "datasette 1.0a30",
744
- "source": "Simon Willison",
745
- "summary": "Release: datasette 1.0a30 The big new feature in this alpha is a new customizable \"Jump to...\" menu, described in detail in The extensible \"Jump to\" menu in Datasette 1.0a30 on the Datasette blog. You can try it out by hitting / on latest.datasette.io - it looks like this: The ne",
746
- "published_at": "2026-05-24T23:52:37+00:00",
747
- "updated_at": "2026-05-30T15:47:12.601841+00:00"
748
- },
749
- {
750
- "id": 51,
751
- "url": "https://huggingface.co/blog/nvidia/nemotron-labs-diffusion",
752
- "title": "Towards Speed-of-Light Text Generation with Nemotron-Labs Diffusion Language Models",
753
- "source": "Hugging Face",
754
- "summary": null,
755
- "published_at": "2026-05-23T00:02:03+00:00",
756
- "updated_at": "2026-06-01T04:18:44.278398+00:00"
757
- },
758
- {
759
- "id": 20,
760
- "url": "https://blog.google/innovation-and-ai/technology/ai/io-2026-dialogues-recap/",
761
- "title": "Catch up on the Dialogues stage at Google I/O 2026.",
762
- "source": "Google AI",
763
- "summary": "Alphabet CEO Sundar Pichai in conversation on the I/O 2026 Dialogues stage",
764
- "published_at": "2026-05-22T18:00:00+00:00",
765
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
766
- },
767
- {
768
- "id": 52,
769
- "url": "https://huggingface.co/blog/Dharma-AI/specialization-beats-scale",
770
- "title": "Specialization Beats Scale: A Strategic Variable Most AI Procurement Decisions Overlook",
771
- "source": "Hugging Face",
772
- "summary": null,
773
- "published_at": "2026-05-22T15:25:59+00:00",
774
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
775
- },
776
- {
777
- "id": 14,
778
- "url": "https://openai.com/index/virgin-atlantic",
779
- "title": "How Virgin Atlantic ships faster with Codex",
780
- "source": "OpenAI",
781
- "summary": "How Virgin Atlantic used Codex to ship its revamped mobile app on a fixed holiday travel deadline, reaching near-total unit test coverage and zero P1 defects.",
782
- "published_at": "2026-05-22T00:00:00+00:00",
783
- "updated_at": "2026-06-01T21:36:52.664184+00:00"
784
- },
785
- {
786
- "id": 13,
787
- "url": "https://openai.com/index/gartner-2026-agentic-coding-leader",
788
- "title": "OpenAI named a Leader in enterprise coding agents by Gartner",
789
- "source": "OpenAI",
790
- "summary": "OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.",
791
- "published_at": "2026-05-22T00:00:00+00:00",
792
- "updated_at": "2026-06-01T21:36:52.664184+00:00"
793
- },
794
- {
795
- "id": 31,
796
- "url": "https://deepmind.google/blog/were-launching-the-google-deepmind-accelerator-program-in-asia-pacific-to-tackle-environmental-risks/",
797
- "title": "We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks",
798
- "source": "Google DeepMind",
799
- "summary": null,
800
- "published_at": "2026-05-21T19:46:42+00:00",
801
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
802
- },
803
- {
804
- "id": 15,
805
- "url": "https://openai.com/index/adventhealth",
806
- "title": "AdventHealth advances whole-person care with OpenAI",
807
- "source": "OpenAI",
808
- "summary": "AdventHealth is using ChatGPT for Healthcare to streamline workflows, reduce administrative burden, and return more time to patient care.",
809
- "published_at": "2026-05-21T12:00:00+00:00",
810
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
811
- },
812
- {
813
- "id": 21,
814
- "url": "https://blog.google/innovation-and-ai/infrastructure-and-cloud/global-network/missouri-programs/",
815
- "title": "We’re announcing new community investments in Missouri.",
816
- "source": "Google AI",
817
- "summary": "We’re helping build the state’s next-generation workforce and investing in energy programs.",
818
- "published_at": "2026-05-20T20:40:00+00:00",
819
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
820
- },
821
- {
822
- "id": 22,
823
- "url": "https://blog.google/innovation-and-ai/technology/ai/google-io-2026-all-our-announcements/",
824
- "title": "100 things we announced at I/O 2026",
825
- "source": "Google AI",
826
- "summary": "Image with the words \"Ready, Set, I/O\" and a colorful Gemini logo",
827
- "published_at": "2026-05-20T19:30:00+00:00",
828
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
829
- },
830
- {
831
- "id": 23,
832
- "url": "https://blog.google/innovation-and-ai/models-and-research/google-research/google-beam-group-meetings/",
833
- "title": "A new experiment brings better group meetings to Google Beam",
834
- "source": "Google AI",
835
- "summary": "A small group meeting featuring two in-room participants and three participants on-screen.",
836
- "published_at": "2026-05-20T16:45:00+00:00",
837
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
838
- },
839
- {
840
- "id": 53,
841
- "url": "https://huggingface.co/blog/allenai/olmoearth-v1-1",
842
- "title": "OlmoEarth v1.1: A more efficient family of Earth observation models",
843
- "source": "Hugging Face",
844
- "summary": null,
845
- "published_at": "2026-05-19T18:38:09+00:00",
846
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
847
- },
848
- {
849
- "id": 27,
850
- "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/",
851
- "title": "Gemini 3.5: frontier intelligence with action",
852
- "source": "Google AI",
853
- "summary": "Gemini 3.5 text and multi-colored star icon on an abstract blue background.",
854
- "published_at": "2026-05-19T17:45:00+00:00",
855
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
856
- },
857
- {
858
- "id": 24,
859
- "url": "https://blog.google/products-and-platforms/products/search/ai-mode-us-insights/",
860
- "title": "How AI Mode is changing the way people search in the U.S.",
861
- "source": "Google AI",
862
- "summary": "A graphic features the text \"How people are using AI Mode in the U.S.\" surrounded by colorful, stylized illustrations of a pencil, planet, banana, gift box, cursor, gamepad, and lipstick on a light blue background.",
863
- "published_at": "2026-05-19T17:45:00+00:00",
864
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
865
- },
866
- {
867
- "id": 26,
868
- "url": "https://blog.google/innovation-and-ai/sundar-pichai-io-2026/",
869
- "title": "I/O 2026: Welcome to the agentic Gemini era",
870
- "source": "Google AI",
871
- "summary": "a series of colorful icons representing Google I/O against a black background",
872
- "published_at": "2026-05-19T17:45:00+00:00",
873
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
874
- },
875
- {
876
- "id": 28,
877
- "url": "https://blog.google/products-and-platforms/products/search/search-io-2026/",
878
- "title": "A new era for AI Search",
879
- "source": "Google AI",
880
- "summary": "Text that reads \"The best of a search engine with the best of AI\"",
881
- "published_at": "2026-05-19T17:45:00+00:00",
882
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
883
- },
884
- {
885
- "id": 29,
886
- "url": "https://blog.google/products-and-platforms/products/google-one/google-ai-subscriptions/",
887
- "title": "Everything new in our Google AI subscriptions, fresh from I/O 2026",
888
- "source": "Google AI",
889
- "summary": "The image shows colorful icons. The copy reads: More magic in one plan. More power, more perks, same price.",
890
- "published_at": "2026-05-19T17:45:00+00:00",
891
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
892
- },
893
- {
894
- "id": 30,
895
- "url": "https://blog.google/innovation-and-ai/technology/developers-tools/google-io-2026-collection/",
896
- "title": "I/O 2026",
897
- "source": "Google AI",
898
- "summary": "At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we announced.",
899
- "published_at": "2026-05-19T17:45:00+00:00",
900
- "updated_at": "2026-06-01T13:46:42.868147+00:00"
901
- },
902
- {
903
- "id": 25,
904
- "url": "https://blog.google/products-and-platforms/products/workspace/workspace-updates/",
905
- "title": "New ways to create and get things done in Google Workspace",
906
- "source": "Google AI",
907
- "summary": "Google Workspace",
908
- "published_at": "2026-05-19T17:45:00+00:00",
909
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
910
- },
911
- {
912
- "id": 54,
913
- "url": "https://huggingface.co/blog/ettin-reranker",
914
- "title": "Introducing the Ettin Reranker Family",
915
- "source": "Hugging Face",
916
- "summary": null,
917
- "published_at": "2026-05-19T00:00:00+00:00",
918
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
919
- },
920
- {
921
- "id": 32,
922
- "url": "https://deepmind.google/blog/fast-tracking-genetic-leads-to-reverse-cellular-aging/",
923
- "title": "Fast-tracking genetic leads to reverse cellular aging",
924
- "source": "Google DeepMind",
925
- "summary": "Biologists use Co-Scientist to find novel factors that successfully rejuvenate human cells.",
926
- "published_at": "2026-05-18T18:21:39+00:00",
927
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
928
- },
929
- {
930
- "id": 55,
931
- "url": "https://huggingface.co/blog/PaddlePaddle/paddleocr-transformers",
932
- "title": "PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend",
933
- "source": "Hugging Face",
934
- "summary": null,
935
- "published_at": "2026-05-18T15:12:46+00:00",
936
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
937
- },
938
- {
939
- "id": 33,
940
- "url": "https://deepmind.google/blog/simulate-real-world-places-with-project-genie-and-street-view/",
941
- "title": "Simulate real-world places with Project Genie and Street View",
942
- "source": "Google DeepMind",
943
- "summary": "We’re expanding access to Google AI Ultra subscribers globally and introducing a new capability powered by Street View.",
944
- "published_at": "2026-05-17T19:53:18+00:00",
945
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
946
- },
947
- {
948
- "id": 34,
949
- "url": "https://deepmind.google/blog/introducing-gemini-omni/",
950
- "title": "Introducing Gemini Omni",
951
- "source": "Google DeepMind",
952
- "summary": null,
953
- "published_at": "2026-05-17T19:50:57+00:00",
954
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
955
- },
956
- {
957
- "id": 35,
958
- "url": "https://deepmind.google/blog/introducing-google-antigravity-2-0/",
959
- "title": "Introducing Google Antigravity 2.0",
960
- "source": "Google DeepMind",
961
- "summary": null,
962
- "published_at": "2026-05-17T19:43:45+00:00",
963
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
964
- },
965
- {
966
- "id": 36,
967
- "url": "https://deepmind.google/blog/gemini-for-science-ai-experiments-and-tools-for-a-new-era-of-discovery/",
968
- "title": "Gemini for Science: AI experiments and tools for a new era of discovery",
969
- "source": "Google DeepMind",
970
- "summary": "A collection of science tools and experiments to expand the scale and precision of scientific exploration.",
971
- "published_at": "2026-05-17T13:50:34+00:00",
972
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
973
- },
974
- {
975
- "id": 37,
976
- "url": "https://deepmind.google/blog/making-it-easier-to-understand-how-content-was-created-and-edited/",
977
- "title": "Making it easier to understand how content was created and edited",
978
- "source": "Google DeepMind",
979
- "summary": "We're expanding our tools to help you understand how content was created and edited across the web.",
980
- "published_at": "2026-05-17T13:43:50+00:00",
981
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
982
- },
983
- {
984
- "id": 38,
985
- "url": "https://deepmind.google/blog/strengthening-singapores-ai-future-a-new-national-partnership/",
986
- "title": "Strengthening Singapore’s AI Future: A New National Partnership",
987
- "source": "Google DeepMind",
988
- "summary": "Google DeepMind and Singapore partner to apply frontier AI to address complex challenges across health, education, and sustainability and more.",
989
- "published_at": "2026-05-16T09:13:34+00:00",
990
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
991
- },
992
- {
993
- "id": 39,
994
- "url": "https://deepmind.google/blog/finding-the-molecular-switches-behind-new-infectious-diseases/",
995
- "title": "Finding the molecular switches behind new infectious diseases",
996
- "source": "Google DeepMind",
997
- "summary": "Clare Bryant uses Co-Scientist to identify genetic triggers in emerging infectious diseases.",
998
- "published_at": "2026-05-16T08:16:06+00:00",
999
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1000
- },
1001
- {
1002
- "id": 40,
1003
- "url": "https://deepmind.google/blog/opening-new-paths-in-aging-research/",
1004
- "title": "Opening new paths in aging research",
1005
- "source": "Google DeepMind",
1006
- "summary": "Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.",
1007
- "published_at": "2026-05-16T08:08:44+00:00",
1008
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1009
- },
1010
- {
1011
- "id": 41,
1012
- "url": "https://deepmind.google/blog/accelerating-discovery-of-liver-disease-mechanisms/",
1013
- "title": "Accelerating discovery of liver disease mechanisms",
1014
- "source": "Google DeepMind",
1015
- "summary": "Filippo Menolascina uses Co-Scientist to identify new liver disease treatments and explain why existing drugs only help certain patients.",
1016
- "published_at": "2026-05-16T08:00:15+00:00",
1017
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1018
- },
1019
- {
1020
- "id": 42,
1021
- "url": "https://deepmind.google/blog/uniting-biological-toolkits-for-a-new-approach-to-als/",
1022
- "title": "Uniting biological toolkits for a new approach to ALS",
1023
- "source": "Google DeepMind",
1024
- "summary": "Co-Scientist unites Boston Children’s Hospital and MIT’s labs to explore new RNA-based treatments for ALS.",
1025
- "published_at": "2026-05-16T07:53:11+00:00",
1026
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1027
- },
1028
- {
1029
- "id": 43,
1030
- "url": "https://deepmind.google/blog/uncovering-repurposed-medicines-to-fight-liver-fibrosis/",
1031
- "title": "Uncovering repurposed medicines to fight liver fibrosis",
1032
- "source": "Google DeepMind",
1033
- "summary": "Stanford geneticist uses Co-Scientist to help find new treatments for chronic liver disease and liver fibrosis.",
1034
- "published_at": "2026-05-16T07:40:27+00:00",
1035
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1036
- },
1037
- {
1038
- "id": 44,
1039
- "url": "https://deepmind.google/blog/how-weathernext-helped-the-national-hurricane-center-better-predict-hurricane-melissas-historic-landfall-in-jamaica/",
1040
- "title": "How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica",
1041
- "source": "Google DeepMind",
1042
- "summary": "Learn how our WeatherNext AI model help forecasters give communities unprecedented time to prepare ahead of the historic Hurricane Melissa.",
1043
- "published_at": "2026-05-16T03:14:17+00:00",
1044
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1045
- },
1046
- {
1047
- "id": 45,
1048
- "url": "https://deepmind.google/blog/gemini-3-5-frontier-intelligence-with-action/",
1049
- "title": "Gemini 3.5: frontier intelligence with action",
1050
- "source": "Google DeepMind",
1051
- "summary": "Gemini 3.5 is built to help you execute complex, agentic workflows.",
1052
- "published_at": "2026-05-15T22:50:12+00:00",
1053
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1054
- },
1055
- {
1056
- "id": 56,
1057
- "url": "https://huggingface.co/blog/ibm-granite/granite-embedding-multilingual-r2",
1058
- "title": "Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality",
1059
- "source": "Hugging Face",
1060
- "summary": null,
1061
- "published_at": "2026-05-14T18:55:01+00:00",
1062
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1063
- },
1064
- {
1065
- "id": 57,
1066
- "url": "https://huggingface.co/blog/continuous_async",
1067
- "title": "Unlocking asynchronicity in continuous batching",
1068
- "source": "Hugging Face",
1069
- "summary": null,
1070
- "published_at": "2026-05-14T00:00:00+00:00",
1071
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1072
- },
1073
- {
1074
- "id": 58,
1075
- "url": "https://huggingface.co/blog/amazon/foundation-model-building-blocks",
1076
- "title": "Building Blocks for Foundation Model Training and Inference on AWS",
1077
- "source": "Hugging Face",
1078
- "summary": null,
1079
- "published_at": "2026-05-11T23:18:26+00:00",
1080
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1081
- },
1082
- {
1083
- "id": 59,
1084
- "url": "https://huggingface.co/blog/ServiceNow-AI/correctness-before-corrections",
1085
- "title": "vLLM V0 to V1: Correctness Before Corrections in RL",
1086
- "source": "Hugging Face",
1087
- "summary": null,
1088
- "published_at": "2026-05-06T19:06:55+00:00",
1089
- "updated_at": "2026-06-02T14:02:38.570847+00:00"
1090
- },
1091
- {
1092
- "id": 60,
1093
- "url": "https://huggingface.co/blog/open-asr-leaderboard-private-data",
1094
- "title": "Adding Benchmaxxer Repellant to the Open ASR Leaderboard",
1095
- "source": "Hugging Face",
1096
- "summary": null,
1097
- "published_at": "2026-05-06T00:00:00+00:00",
1098
- "updated_at": "2026-06-01T13:33:59.562408+00:00"
1099
- },
1100
- {
1101
- "id": 76,
1102
- "url": "https://blogs.microsoft.com/ai/a-conversation-with-kevin-scott-whats-next-in-ai/",
1103
- "title": "A conversation with Kevin Scott: What’s next in AI",
1104
- "source": "Microsoft AI",
1105
- "summary": "The post A conversation with Kevin Scott: What’s next in AI appeared first on The AI Blog.",
1106
- "published_at": "2022-12-06T17:29:09+00:00",
1107
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1108
- },
1109
- {
1110
- "id": 77,
1111
- "url": "https://blogs.microsoft.com/ai/from-hot-wheels-to-handling-content-how-brands-are-using-microsoft-ai-to-be-more-productive-and-imaginative/",
1112
- "title": "From Hot Wheels to handling content: How brands are using Microsoft AI to be more productive and imaginative",
1113
- "source": "Microsoft AI",
1114
- "summary": "The post From Hot Wheels to handling content: How brands are using Microsoft AI to be more productive and imaginative appeared first on The AI Blog.",
1115
- "published_at": "2022-10-12T16:00:02+00:00",
1116
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1117
- },
1118
- {
1119
- "id": 78,
1120
- "url": "https://blogs.microsoft.com/ai/microsoft-open-sources-its-farm-of-the-future-toolkit/",
1121
- "title": "Microsoft open sources its ‘farm of the future’ toolkit",
1122
- "source": "Microsoft AI",
1123
- "summary": "The post Microsoft open sources its ‘farm of the future’ toolkit appeared first on The AI Blog.",
1124
- "published_at": "2022-10-06T14:58:15+00:00",
1125
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1126
- },
1127
- {
1128
- "id": 79,
1129
- "url": "https://cloudblogs.microsoft.com/industry-blog/en-gb/financial-services/2022/07/25/how-data-and-ai-will-transform-contact-centres-for-financial-services/",
1130
- "title": "How data and AI will transform contact centres for financial services",
1131
- "source": "Microsoft AI",
1132
- "summary": "The post How data and AI will transform contact centres for financial services appeared first on The AI Blog.",
1133
- "published_at": "2022-07-25T14:49:33+00:00",
1134
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1135
- },
1136
- {
1137
- "id": 80,
1138
- "url": "https://news.microsoft.com/apac/features/ai-drones-dolphins-maui63/",
1139
- "title": "AI-equipped drones study dolphins on the edge of extinction",
1140
- "source": "Microsoft AI",
1141
- "summary": "The post AI-equipped drones study dolphins on the edge of extinction appeared first on The AI Blog.",
1142
- "published_at": "2022-07-21T14:50:33+00:00",
1143
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1144
- },
1145
- {
1146
- "id": 81,
1147
- "url": "https://blogs.microsoft.com/ai/eedi-online-math-quiz/",
1148
- "title": "Online math tutoring service uses AI to help boost students’ skills and confidence",
1149
- "source": "Microsoft AI",
1150
- "summary": "The post Online math tutoring service uses AI to help boost students’ skills and confidence appeared first on The AI Blog.",
1151
- "published_at": "2022-07-13T12:59:50+00:00",
1152
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1153
- },
1154
- {
1155
- "id": 82,
1156
- "url": "https://blogs.microsoft.com/accessibility/ai-mimi-is-building-inclusive-tv-experiences-for-deaf-and-hard-of-hearing-user-in-japan/",
1157
- "title": "AI-Mimi is building inclusive TV experiences for Deaf and Hard of Hearing user in Japan",
1158
- "source": "Microsoft AI",
1159
- "summary": "The post AI-Mimi is building inclusive TV experiences for Deaf and Hard of Hearing user in Japan appeared first on The AI Blog.",
1160
- "published_at": "2022-07-06T14:51:23+00:00",
1161
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1162
- },
1163
- {
1164
- "id": 83,
1165
- "url": "https://blogs.microsoft.com/on-the-issues/2022/06/21/microsofts-framework-for-building-ai-systems-responsibly/",
1166
- "title": "Microsoft’s framework for building AI systems responsibly",
1167
- "source": "Microsoft AI",
1168
- "summary": "The post Microsoft’s framework for building AI systems responsibly appeared first on The AI Blog.",
1169
- "published_at": "2022-06-21T17:50:03+00:00",
1170
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1171
- },
1172
- {
1173
- "id": 84,
1174
- "url": "https://news.microsoft.com/en-sg/2022/06/08/singapore-develops-asias-first-ai-based-mobile-app-for-shark-and-ray-fin-identification-to-combat-illegal-wildlife-trade/",
1175
- "title": "Singapore develops Asia’s first AI-based mobile app for shark and ray fin identification to combat illegal wildlife trade",
1176
- "source": "Microsoft AI",
1177
- "summary": "The post Singapore develops Asia’s first AI-based mobile app for shark and ray fin identification to combat illegal wildlife trade appeared first on The AI Blog.",
1178
- "published_at": "2022-06-08T21:04:42+00:00",
1179
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1180
- },
1181
- {
1182
- "id": 85,
1183
- "url": "https://blogs.microsoft.com/accessibility/the-opportunity-at-home-can-ai-drive-innovation-in-personal-assistant-devices-and-sign-language/",
1184
- "title": "The opportunity at home – can AI drive innovation in personal assistant devices and sign language?",
1185
- "source": "Microsoft AI",
1186
- "summary": "The post The opportunity at home – can AI drive innovation in personal assistant devices and sign language? appeared first on The AI Blog.",
1187
- "published_at": "2022-05-31T21:06:06+00:00",
1188
- "updated_at": "2026-06-02T15:11:24.631098+00:00"
1189
- }
1190
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