Ekin Dogus Cubuk
Guest on Latent Space: The AI Engineer Podcast. 194 claims across 1 episode, Oct 2026.
Positions over time
Every pair of statements that was compared. Only a verified change counts as a change of mind; rewording, added nuance and different questions do not.
No two statements by this speaker have been compared yet.
Predictions, in their words
As stated, each with its moment. A date appears only where the speaker gave one.
“Based on the previous experiment this one. This is probably not the phase we want to make so let's change the conditions.”
Expects: AI can use prior experimental results to infer that a phase is probably not the target and suggest changing experimental conditions. · no date given · not yet resolved
“I think the first paper from this funding is about to come out. So it will be exciting to just get more papers.”
Expects: The first paper produced through the academic grant funding is expected to be published soon. · no date given · not yet resolved
“Because if that energy is higher than other materials these atoms can come into, then it's unlikely that this material will be able to be made.”
Expects: The material described as having higher energy than competing materials is unlikely to be synthesizable. · no date given · not yet resolved
“So like if we can get close to the Landauer limit for how efficiently we do computation, that's amazing for humanity, right?”
Expects: Approaching the Landauer limit for computational energy efficiency would be highly beneficial for humanity. · no date given · not yet resolved
“So we are hoping that by standardising these workflows one of the biggest benefits will be that the noise floor will be lowered.”
Expects: The speaker hopes that standardizing experimental workflows will reduce the noise floor in experimental data. · no date given · not yet resolved
“not even theoretical physics like so far it's been theoretical computer science building and math. maybe theoretical physics is next.”
Expects: The speaker suggests that theoretical physics may become a future area of focus for the work, which so far has focused on theoretical computer science and mathematics. · no date given · not yet resolved
“We want to achieve synthesis superintelligence, right? And we”
Expects: Periodic Labs will achieve synthesis superintelligence, which it has stated as its goal. · no date given · not yet resolved
“Yeah we could I mean we have plans to you know open more labs also”
Expects: The speaker’s organization plans to open additional labs. · no date given · not yet resolved
“And I think we can make progress much faster than before.”
Expects: The speaker expects an iterative process combining simulations, AI, and experiments to accelerate progress substantially compared with the past. · no date given · not yet resolved · In a shared prediction of 16 →
“made maybe that's fine because maybe once it's made it will do amazing things we can't even imagine”
Expects: Quantum computing might do amazing, currently unimaginable things once it is built. · no date given · not yet resolved
All 15 predictions
“as you said like if you were doing per experiment labels it would be mostly negative. But if you were doing per campaign and assuming campaigns end when we succeed then it could be a bit more balanced”
Expects: Individual experiment labels would be mostly negative, whereas campaign-level labels—assuming campaigns end when they succeed—could be more balanced. · no date given · not yet resolved
“But also we feel like even if like Fable 7 gets really good at like even better than what it is today it will still have to run experiments to get results and the reason for it is right like machine learning is really good at what's been trained on but scientific discovery is almost by definition what you haven't been trained on and that's why we're building these labs so that whether open models or closed models can use these labs to tinker with the universe because we don't feel like you can make a big discovery without trying things.”
Expects: Even a substantially improved Fable 7 will still need experiments to produce scientific results, because scientific discovery concerns what the model has not been trained on. · no date given · not yet resolved
“Before and after we love to show that solid-state physics material science research can make a big impact commercially and then that will attract more attention young people will want to study physics which will be a dream and you know Bell Labs did make a huge commercial impact right so they failed to commercialize some of their incredible advances they of course did some research that just couldn't be commercialized like the cosmic background but but they did benefit a lot from like the vacuum tube”
Expects: Periodic Labs aims to show that solid-state physics and materials-science research can produce substantial commercial impact, hoping this will draw attention and encourage young people to study physics. · no date given · not yet resolved
“you know, if we have a really good synthesis for intelligence in the lab and we can really scale up these things, I think we won't run out of ideas or the LLM won't run out of ideas about what directions to try,”
Expects: If the company develops effective lab-based synthesis intelligence and scales it up, the speaker expects the company and its LLM to continue generating ideas for research directions. · no date given · not yet resolved
“We just really increased the surface area for luck.”
Expects: The speaker expects automation to greatly expand the number of experimental opportunities for serendipitous discoveries. · no date given · not yet resolved
Appearances
Claims per episode
- 8 Oct 2026🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus CubukLatent Space: The AI Engineer Podcast · guest