Generalist Model
topic on 5 shows · 6 statements across 6 episodes
the Y Combinator Startup Podcast 
No Priors 
Capital Allocators 
the MAD Podcast 
the a16z Podcast
6 statements about Generalist Model, every show
Building specialist models is currently the fastest path toward generalist AI
“Short term I would say like building a specialist model is like probably the fastest way to learn like what is actually possible. And in, in many cases, these like specialized model are becoming Stepping stone toward a generalist model, which is like super val…”
Finn: Generalist robotics models may outperform purpose-built models
“And we think that this sort of generalist model may work better and be easier to use than purpose-built models, just like we've seen in the development of foundation, foundation models for language and other applications.”
Andreessen: Generalist VCs can sense heat but cannot pick winners
“The generalist model doesn't work anymore because each of those things now is actually a very deep domain in and of itself, right, with like very specific domain knowledge. And then the specific problem that a generalist has is that a generalist can sense heat…”
Vinyals: Domain fine-tuning creates a synergistic loopback into general AI models
“That directionality of taking a generalist model and doing something by fine tuning it, there's going to be a loopback as well, right?
Then you're going to do something amazing, let's say in math, right?
We recently did that.
And then while the data or as a re…”
Martin: Generalist allocator teams better evaluate cross-asset comparative risk-return
“I think what's great about the generalist model is everybody thinks about the comparative risk return of any investment, and that's super helpful. So somebody looking at real estate will be able to say this real estate manager is really interesting, but it's m…”