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[1426.16 --> 1428.66] You can tell a lot about a person by their search history, their watch history, their
[1428.66 --> 1429.28] like history.
[1429.36 --> 1429.64] Totally.
[1429.68 --> 1431.28] But now it's used for a whole nother reason, right?
[1431.28 --> 1431.50] Yeah.
[1431.50 --> 1436.64] And, and I think it's important to grant our users and customers, uh, control, uh, and
[1436.64 --> 1438.90] ownership over that data because it is your data.
[1438.90 --> 1443.96] And I think with language models, like language models, just, uh, they like 10 X the value
[1443.96 --> 1445.62] and the sensitivity of that data.
[1446.22 --> 1452.30] Uh, because now instead of, you know, just like feeding into like a gen one, uh, AI model
[1452.30 --> 1456.06] or exposing it to some other human, you can feed it into one of these large language models
[1456.06 --> 1460.60] that can, you know, kind of like memorize everything about you as a person or a programmer.
[1460.60 --> 1464.36] Um, and you know, in some ways maybe that's good.
[1464.36 --> 1467.78] Like if you're open to that, if, if you're willing to share your data, we could potentially
[1467.78 --> 1471.86] train language models that, you know, emulate some of the best and brightest programmers
[1471.86 --> 1472.40] in existence.
[1472.40 --> 1475.90] But we ultimately, we think that should be, you know, your personal decision.
[1476.02 --> 1476.14] Yeah.
[1476.14 --> 1476.34] Right.
[1476.54 --> 1476.86] Exactly.
[1476.86 --> 1482.70] How explicit is that in this, in the signup or the acceptance of the Cody license or the,
[1482.70 --> 1487.86] you know, this GA to now, you know, widespread usage, how do you, how explicit are you with
[1487.86 --> 1489.78] a new signup that says, I want to use Cody?
[1490.38 --> 1493.62] Do you say privacy and all these things you just said basically, how clear is that?
[1494.38 --> 1498.28] Uh, so when you first install it, there's kind of like a terms of use that pops up and
[1498.28 --> 1502.20] you cannot use Cody unless you accept it, you read through and accept it.
[1502.20 --> 1504.44] How many words is in that, that, uh, TOS?
[1504.60 --> 1508.56] Uh, it fits, uh, on like basically one page without scrolling.
[1508.62 --> 1508.86] Okay.
[1508.92 --> 1511.32] So a thousand words, maybe, uh, 500.
[1511.92 --> 1512.28] Yeah.
[1512.42 --> 1512.78] 250.
[1513.90 --> 1514.84] Maybe not 250.
[1514.96 --> 1516.46] I think it's probably 250 to 500.
[1516.90 --> 1521.14] Uh, I had to go back and check specifically, but like digestible in a, in a minute.
[1521.56 --> 1521.92] Yeah.
[1522.00 --> 1524.96] We're, we're not trying to be one of those companies that tries to hide stuff.
[1524.96 --> 1528.74] What I mean by that is less trying to say, are you hiding it, but more how clear are you
[1528.74 --> 1528.98] being?
[1528.98 --> 1531.18] Cause it seems like you care to be clear.
[1531.36 --> 1531.54] Yeah.
[1531.54 --> 1536.30] So is that like a paramount thing for you all to be so clear that you say, Hey, privacy
[1536.30 --> 1536.86] matters.
[1537.02 --> 1537.24] Yes.
[1537.28 --> 1539.04] We don't collect zero retention.
[1539.04 --> 1540.12] It's spelled out really clear.
[1540.20 --> 1543.22] It's a bullet list saying, basically saying exactly what you said.
[1543.46 --> 1544.18] Privacy matters.
[1544.30 --> 1545.12] We don't collect data.
[1545.26 --> 1545.84] And I wrote it for you.
[1545.90 --> 1546.28] Using.
[1546.74 --> 1546.94] Yeah.
[1547.14 --> 1547.54] Basically.
[1547.82 --> 1549.90] Well, Tammy, our, our wonderful legal counsel.
[1550.16 --> 1551.32] I didn't write it.
[1551.40 --> 1551.84] I'm just kidding.
[1552.04 --> 1552.82] We all know chat.
[1552.84 --> 1553.52] GBT wrote it.
[1553.52 --> 1553.82] Okay.
[1553.82 --> 1556.24] Let's be serious here.
[1556.98 --> 1559.44] Actually, you know, that, that's a great use case for, for chat.
[1559.44 --> 1563.80] GBT, if, if you're asked to accept one of these like lengthy, uh, and use it in there,
[1563.88 --> 1565.58] summarize it, paste it in there, summarize it.
[1565.64 --> 1566.80] Telling it if there's anything fishy.
[1567.32 --> 1568.46] Uh, yes.
[1568.66 --> 1569.68] That'd be cool for sure.
[1569.86 --> 1570.02] Yeah.
[1570.10 --> 1570.70] That's the best.
[1570.80 --> 1572.54] I cannot wait, honestly, for that to come out.
[1572.70 --> 1574.80] What are the loopholes in this contract?
[1575.32 --> 1575.50] Woo.
[1575.50 --> 1577.78] I have nefarious action on the other side.
[1577.94 --> 1579.34] What are my loopholes to get out?
[1579.56 --> 1579.70] Right.
[1579.78 --> 1580.22] You know what I mean?
[1580.44 --> 1580.66] Yep.
[1580.82 --> 1580.94] Yep.
[1580.94 --> 1581.50] For bad or good.
[1581.58 --> 1583.86] I guess you could use that in the bad side or the good side, but like.
[1584.04 --> 1586.12] GBT for X, where X is literally everything.
[1586.34 --> 1586.58] Right.
[1586.86 --> 1586.98] Yeah.
[1587.00 --> 1587.74] It's going to be there.
[1587.88 --> 1591.80] Like there's going to be one specifically trained for lawyer, lawyering.
[1592.12 --> 1592.34] Yeah.
[1592.42 --> 1592.62] Yeah.
[1592.74 --> 1597.74] I think, um, you know, language models will be a huge democratizing force in many domains.
[1597.84 --> 1603.16] You know, it's democratizing understanding of, of legal concepts, democratizing access to
[1603.16 --> 1603.92] software creation.
[1604.44 --> 1609.52] I think it's going to be, it's, there's going to be a huge expansion of the, uh, percentage
[1609.52 --> 1612.46] of people that's going to be able to access those knowledge domains.
[1612.72 --> 1613.14] Right.
[1613.90 --> 1617.32] So let's say I'm a happy GitHub copilot user.
[1617.54 --> 1617.82] Mm-hmm.
[1617.96 --> 1618.32] Oh yeah.
[1618.78 --> 1621.38] Would I install Cody alongside this and be happier?
[1621.56 --> 1622.42] Would I be less happy?
[1622.54 --> 1625.50] Are these competitive, like, is this a zero sum game?
[1625.64 --> 1627.54] Do I need to go all in on Cody?
[1627.64 --> 1628.58] What are your thoughts on that?