AlphaEvolve, every mention

No Priors Ep. 120 | With Google DeepMind’s Pushmeet Kohli and Matej Balog Jun 26, 2025 · 37 mentions

• ▶ 0:08 Sarah Guo Today, we're joined by two of the key folks behind one of the most compelling developments in AI this year, Alpha Evolve. 3 times in the scene
• ▶ 2:31 Sarah Guo How do you differentiate, um, Alpha Evolve from like Alpha Tensor and FunSearch and some other, um, projects in this sort of lineage of this? 2 times in the scene
• ▶ 10:04 Matej Balog And in fact, the, the problems we chose to apply Alpha Evolve to in the first instance, uh, both on the scientific side and the practical side, 3 times in the scene
• ▶ 11:24 Sarah Guo Um, can you, can you walk us through a concrete example of how Alpha Evolve actually evolves code and say, let's take the example of trying to optimize, um, data center scheduling. 6 times in the scene
• ▶ 17:15 Sarah Guo Like, can you talk about if you think there are implications from AlphaValve to, to these other general coding agents? 6 times in the scene
• ▶ 25:30 Sarah Guo Um, one of the things you demonstrated with Alpha Evolve is you can optimize the systems used to train Alpha Evolve, right? 7 times in the scene
• ▶ 33:34 Pushmeet Kohli And so can you specify those so that an agent like Alpha Evolve can take that into account while it is thinking about how it explodes the search space or how it constructs the solutions that it, it will sort of generate. 4 times in the scene
• ▶ 38:30 Sarah Guo For listeners who are thinking about, um, accessibility or implications for themselves where they're not professional mathematicians in collaboration with Alpha Evolve, what are the considerations in making some of these capabilities more… 6 times in the scene