Eiso Kant
11 statements across 1 episodes · 5 bullish · 2 bearish · 1 people on the record · first statement Jul 22, 2026 by Eiso Kant · said 3 times in 2 episodes since 2024 · across every show →
On the record as a speaker too: Eiso Kant's record, appearances and statements → this page counts the times other people say the name.
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2024 3 mentions in 2 episodes 2 per episode
Everything said about Eiso Kant, oldest first
Jul 22, 2026
Jul 22, 2026
Kant: Foundation model building is 90% engineering rather than research
“Model building is ultimately 90% engineering. And I think we all know it in the industry, because if you look at words, every researcher spending their time, they're spending their time writing code, right? Looking at data and writing code.”
Jul 22, 2026 positive
Kant: Sourced failed because they did not scale up code models
“And what we missed throughout that entire journey that we were on the right track, but we should have just kept scaling up. And today to all of us, the scaling laws and scaling up seems like the most obvious thing, but having spent four or five years of my lif…”
Jul 22, 2026 positive
Kant: Poolside is releasing open weights to prevent five-company AI concentration
“I think it all just came down to one thing and I'll stop the monologue is the fact that I rather live in a world that has a hundred foundation model companies than a world that has five. Even if I was one of the five. And the smallest and most meaningful contr…”
Jul 22, 2026 negative
Jul 22, 2026 bearish
Jul 22, 2026 bullish
Jul 22, 2026 positive
Kant: Poolside can reproduce model training runs from two years ago
“Once we realized that we treated data as immutable and code as always version, and you could always track and trace every experiment end to end perfectly, you could repeat everything perfectly, right? You have perfect reproducibility. I can still reproduce run…”
Jul 22, 2026
Jul 22, 2026
Jul 22, 2026 positive
Kant: A Poolside engineer became an RL researcher in six months
“One of the guys on our team who started as an engineer building our agents is a legit reinforcement learning researcher now making real progress. And that happened in the span of like six months that would have not been what I think most people assumed was pos…”