Eric Zelikman
person on 4 shows · 6 statements across 1 episodes · said 17 times in 5 episodes since 2024
Latent Space 14 
TBPN 2 
20VC 1 
No Priors
On the record as a speaker too: Eric Zelikman across every show, appearances and statements → this page counts the times other people say the name.
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Latent Space 14TBPN 220VC 1
2025 3 mentions in 3 episodes 1 per episode
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6 statements about Eric Zelikman, every show
Zelikman: Frontier AI models solve questions that stump actual PhD researchers
“Some of the HLE questions that these models are able to solve are genuinely things that are, like, non-trivial for, like, actual, like, PhD researchers.”
Zelikman: Current frontier AI models fundamentally lack emotional intelligence
“One of the core things is that they're not smart Like, emotionally, or, like, they're not smart on the level of, like, actually understanding kind of what people care about, or kind of, like, how to actually, like, help people accomplish the things that they c…”
Zelikman: AI performance gap persists between verifiable and non-verifiable tasks
“There's still a gap between how well these models perform on verifiable tasks versus not verifiable tasks.”
Zelikman: Language models can be trained to simulate students for test design
“Like, even back in my PhD, I think one of my, I guess, less well-known works was actually about, we showed that you can train language models to simulate different kinds of students. For tests. Yeah, yeah. And by simulating students, you can actually design be…”
Zelikman: Most AI labs treat humans as mere intermediates to full automation
“And maybe this is a strong statement, but I say for most labs, like the human is kind of, you know, the intermediate until you have like this fully automated, like, you know, system. And so spending a lot of time optimizing things for being really good at unde…”
Zelikman: AI field underinvests in memory due to task-centric training regimes
“I would say that memory is definitely like a feature that has been under, under-invested in by the field. But I would say that it is kind of difficult to invest in memory in this very, like, task-centric regime. Because if you have, like, A bunch of these, lik…”