Matej Balog, research scientist at Google DeepMind, discusses demonstrated internal Google applications of AlphaEvolve across computational infrastructure.
“So, so we show that AlphaEvolve can improve the efficiency of the data center. It can contribute to hardware design, and it can contribute to improving the efficiency of most important pieces of software that that are being run inside Google.”
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More from Matej Balog
AssertionSupported
Balog: AlphaTensor was the first AI to discover superhuman matrix multiplication algorithms
“And kind of the first breakthrough we had in this space was in twenty-twenty-two when we released a system called Alpha Tensor. And so that was a system that was an AI system using reinforcement learning. That for a very specific, but a fundamental computation…”
Matej BalogJun 26, 2025▶ 1:52No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
AssertionSupported
Balog: AlphaEvolve algorithms are already deployed in Google's infrastructure
“Alpha Evolve is an AI coding agent that is able to discover new algorithms that are able to make new discoveries on open scientific problems. And at the same time, those algorithms can be so practical that they are already deployed in keep Key parts of Google'…”
Matej BalogJun 26, 2025▶ 0:57No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Insight
Balog: Inspectable AI-generated code is safer than black-box neural networks
“It's hugely valuable that the artifact you get out of Alpha Evolve is a piece of code, and then you deploy that piece of code. And so before you do that experts, engineers who have worked on that system can visually inspect that piece of code, understand it, a…”
Matej BalogJun 26, 2025▶ 36:51No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Disclosure
Balog: DeepMind benchmarked AlphaEvolve against heavily optimized Google infrastructure problems
“The problems we chose to apply Alpha Evolve to in the first instance both on the scientific side and the practical side, We deliberately chose problems which have been worked on for a very long time by the very best people. So on the, you know, on the scientif…”
Matej BalogJun 26, 2025▶ 10:04No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Disclosure
DeepMind: AlphaEvolve was seeded with human baselines for data center scheduling
“Another option you can take is actually we have already worked on this problem for a really long time. Here is a very strong initial solution that we can provide to the system and you can start from here. And that's what we did for the application to discoveri…”
Matej BalogJun 26, 2025▶ 13:07No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
Disclosure
Balog: AlphaEvolve focuses on math and CS due to automated evaluators
“In Alpha Evolve, we've
Primarily focused on mathematics and computer science, because these are the domains where it's the easiest to get these automated evaluation functions.
Like you often get them basically for free.”
Matej BalogJun 26, 2025▶ 29:09No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog
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