Insight certainty 4/5 debate potential 2/5

Vinyals: Domain fine-tuning creates a synergistic loopback into general AI models

Oriol Vinyals · No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals · Aug 1, 2024 · at 34:31

Oriol Vinyals, VP of Research at Google DeepMind, explains how specialized AI models (such as math problem solvers) feed data back to improve general models like Gemini.

0:00 / 0:24exact quote · 24.9s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“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 reward model or something that model will do, Will help the main model get better as well. So it's quite a synergistic thing to do as well.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

More from Oriol Vinyals

Prediction Not checkable as stated
Vinyals predicts pre-training compute will drop to ~50% as RL expands
“So to me, that balance feels correct, like some on pre-training, and here we, we're trying to learn every task. So certainly that's going to be, you know, let's say it can be as high as 50%, not as high as over 90 like today. And then the rest mostly on reinfo…”
Oriol Vinyals Aug 1, 2024 ▶ 25:29 No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals
Prediction Not checkable as stated
Vinyals: Emergent self-correction will make model bootstrapping trivial in specific domains
“At some point, the model might have the capability, let's say, to self-correct. Let's call it self-correction. And as soon as it hits that capability, you can see how, wow, bootstrapping now is trivial. And of course, it's not going to be that blanket across a…”
Oriol Vinyals Aug 1, 2024 ▶ 30:42 No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals
Prediction Not checkable as stated
Vinyals: AI will remain hybrid as general models overtaking science is far away
“Probably we can, and we might see more and more bootstrapping from Gemini and these models to then a specific solution that, that the model is going to be throw away, except for, you know, maybe cracking protein folding or, you know, figuring out nuclear fusio…”
Oriol Vinyals Aug 1, 2024 ▶ 33:37 No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals
Prediction Not checkable as stated
Vinyals: General reward functions in math will advance AI self-improvement
“Depending how you attack the problem, it's definitely not at that end. And I think even because it's so hard to have a perfect reward when you interleave language, I think by, even by accident, the field will move forward as we get to discover these more gener…”
Oriol Vinyals Aug 1, 2024 ▶ 37:49 No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals
Insight
Vinyals: Achieving monolithic AGI matters less than capability distribution
“The contrarian view would be, I'm not sure it matters that, that we achieved AGI. I think it might not look like Hey, like, it's gonna be exactly like the cognitive task we can do, and then we reach parity. It's gonna be a distribution of things that these mod…”
Oriol Vinyals Aug 1, 2024 ▶ 39:13 No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals
Prediction Held up
Vinyals: Context Windows Will Grow 10x for Commodity and SOTA AI in 1-2 Years
“I expect, I mean, order of one, two years, you might see, wow, we went another order of magnitude from both state of the art and, of course, what's considered a commodity. So I'm pretty certain about this.”
Oriol Vinyals Aug 1, 2024 ▶ 12:44 No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 100 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.