Ashvin Nair
speaker
533 appearances
1 recordings
1 series
first heard Dec 2025
last heard 30 Dec
Ashvin Nair’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Dec 2025 with 1.
Appearances
it's just like internal.
Um and part of it is just that we're also working on a product where you can understand it really well because it's a code product.
Well, like, you know, if I don't know, in in in in open AI, if I was like to look at like a biology question, I have no idea like, you know, what what this is about.
Yeah, you know, um unfortunately I've like kind of gotten the habit, especially at OpenAI, of like not reading that much external work and just like reading people's like Slack posts internally as like the main like way to like, you know, um uh like learn new stuff.
Um no super inspiring recent things have popped up to me.
Um
I do think that this like kind of vibe of like yeah, continual learning it's like does feel like uh I think there's something super interesting there and like it feels like uh maybe even in academia people could make like a pr big crack at it.
Yeah, maybe what Tab is doing, but also just like kind of like in context learning, but with like infinite memory or something, so that you don't once you experience something in context, it should just like be in your weights and you shouldn't have to like make that same mistake again, that kind of thing.
you know, you you start out by memorizing or you know, like learning from trillions of tokens.
Yeah.
Now you're gonna experience like thousands or maybe millions of tokens.
And somehow like, you know, we can and those thousand the million tokens are kind of indoor.
Yeah, exactly.
So crazy.
Yeah.
So uh it feels like
If you if you could learn enough about those million tokens that you're actually in deployment on, um, I don't think you should need like I don't think there's a risk of overloading the capacitor of your model, right? 'Cause you y you can train on a trillion tokens and it's like fine.
Yeah, yeah, yeah.
And it's yeah, I've I've heard that there's this kind of like someone recently at Cursor Jacob kind of brought up this view.
I don't know if it's like a more public view that's like, oh, there's kind of like a hard drive view of um
Showing 481–500 of 533 · page 25 of 27
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