General Models
topic on 5 shows · 5 statements across 5 episodes
the Y Combinator Startup Podcast 
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5 statements about General Models, every show
Dean: AI startups should target tasks with 1% model success, not 20%
“If they're completely failing, that's probably a good sign. If they're kind of able to do some of it, but not very well, That's maybe not a great sign because that's probably a sign that the capability is starting to be present in those models and with more tr…”
Midha: General-purpose AI models will be made available to everyone
“So if you have a general model that's good for everybody, it will be available to everyone.”
Dean: General AI models will win out over specialized ones
“I mean, I think general models will win out over specialized ones in most cases.”
Brin: Specialized AI learnings inevitably get merged into general foundation models
“We are generally able to, after we do that, take those learnings and basically put that capability into a general model. So there's not that much benefit. You know, you could, you can get away with a somewhat smaller specialized model, a little bit faster, a l…”
Vinyals: General AI models are roughly 20% good at everything
“One way I kind of characterize general models is they are, I mean,
The level of performance is irrelevant, but they're like, 20% good at everything, ok?
So they, that's the level of performance they reach, but it's general, which, I mean, it's powerful, so you…”