Evidence receipt / evaluation
Published · transcript-backedRobert Lange: evaluation
13 Mar 2026 Machine Learning Street Talk When AI Discovers The Next Transformer - Robert Lange (Sakana)
“It could it could in fact happen. But I think, like, for all of these things, we started out sort of with the, let's say, most intuitive algorithmic component that we had, and UCB was 1 that really did the job here.”
Source trail
Everything needed to verify it.
- Speaker
- Robert Lange
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 13 Mar 2026
- Publisher
- Machine Learning Street Talk
Transcript context
…And and it got this score. Yeah. And and then over time that, you know, this thing for the given run of this evolution, it will kind of know that Grok is good at these problems. Yeah. Potentially. I'm not sure, like, how efficient this fine fine tuning is if if we're only evaluating, like, a 150 programs. But in principle, 1 could imagine. I think it's on the engineering side, not necessarily like the prettiest to do. Yeah. It could it could in fact happen. But I think, like, for all of these things, we started out sort of with the, let's say, most intuitive algorithmic component that we had, and UCB was 1 that really did the job here. And, yeah, much credit to Eduardo Satin who introduced us to to Schenka. So let's talk about the diffs and and the mutations. So we've we generate programs and I I think you folks were inspired a bit by AlphaRevolve. So they actually had this gating where where you kind of gate part of the code which is mutable. Tell me about all of that.…
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