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Pushmeet Kohli

VP of Research, Google DeepMind · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

scientistexecutiveengineer@pushmeet ↗research.google/people/105667 ↗Wikipedia ↗

Pushmeet Kohli is the VP of Research and Science at Google DeepMind and Chief Scientist of Google Cloud. Formerly a Director of Research at Microsoft Research, he leads initiatives applying machine learning to scientific domains including biology and mathematics.

7statements → 5claims → 4claims resolved → 100%fully supported → 3.86/5average certainty → 2/5average debate potential →

4 supported 0 partly supported 0 contradicted 1 not checkable as stated how the 5 claims stand · each chip opens the sources

1 prediction · 4 assertions · 1 insight · 1 disclosure · every statement was checked. The prediction and assertions are the 5 claims: statements the public record can support or contradict. 4 are resolved, and 1 names no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Pushmeet argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Kohli: FunSearch made the first scientific discovery generated by an LLM
“FunSearch, which was an LLM-based agent, which for the first time, by searching in the space of programs, showed that you can come up with completely new solutions, like, and this, and made the first scientific discovery from an LLM.”
Pushmeet Kohli Jun 26, 2025 ▶ 7:33 No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog

How they sound: not measured why? →

We measure speaking style by listening to the audio itself, and a fair number needs at least 2,000 words from one person on tape we have measured. There is too little of Pushmeet Kohli on measured tape to publish a rate. This says nothing about how they speak.

Everything Pushmeet Kohli said on No Priors that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Supported
Kohli: FunSearch made the first scientific discovery generated by an LLM
“FunSearch, which was an LLM-based agent, which for the first time, by searching in the space of programs, showed that you can come up with completely new solutions, like, and this, and made the first scientific discovery from an LLM.”
Pushmeet Kohli Jun 26, 2025 ▶ 7:33 No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Prediction Not checkable as stated
Kohli: AI self-improvement for cognitive tasks will work with proper evaluators
“It should work. But as we sort of mentioned that having good evaluators is an important element, right? And so having a sort of evaluator, which can say this proposal that you have just suggested for me to improve the training process will yield A good result.…”
Pushmeet Kohli Jun 26, 2025 ▶ 26:40 No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Assertion Supported
Kohli: Multi-agent LLMs outperform base models in hypothesis generation
“And we have shown that this AI co-scientist which we have used for hypothesis generation, it basically uses a multi-agent sort of setup and where LLMs themselves are able to sort of figure out that certain hypotheses are better in terms of novelty and signific…”
Pushmeet Kohli Jun 26, 2025 ▶ 24:37 No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Assertion Supported
Kohli: AlphaEvolve discovered cap set problem symmetries unknown to mathematicians
“Working with Jordan Ellenberg in the first, in the earlier version of Alpha Evolve, when you were working on the cap set problem, the programs that it discovered had very interesting symmetries that that mathematicians did not know about. And so, so not only t…”
Pushmeet Kohli Jun 26, 2025 ▶ 37:59 No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Insight
Kohli: Large matrix multiplication algorithms are too intricate for human intuition alone
“As you sort of go to larger sizes, the space is so huge. The constructions are not sort of something which is very natural. These are very involved and intricate, intricate, intricate sort of constructions that would be very hard to discover by chance. So it's…”
Pushmeet Kohli Jun 26, 2025 ▶ 9:18 No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Assertion Supported
Kohli: AlphaEvolve has successfully made AI model training more computationally efficient
“What Alpha Evolve has been able to do is basically make training more efficient.”
Pushmeet Kohli Jun 26, 2025 ▶ 26:01 No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Disclosure
Kohli: DeepMind launches trusted tester program for AlphaEvolve
“We have started a trusted tester program where we have asked people to submit proposals, and what we intend to do with that program is to figure out what are the right ways in which people can really leverage alpha evolved.”
Pushmeet Kohli Jun 26, 2025 ▶ 38:53 No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog

Appearances (1)

EpisodeDateSpeaking time
No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog Jun 26, 2025 17m
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