Zico Kolter
15 statements across 1 episodes · 4 bullish · 2 bearish · 1 people on the record · first statement May 7, 2026 by Zico Kolter · across every show →
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Everything said about Zico Kolter, oldest first
May 7, 2026
A complete modern LLM takes only 200 to 300 lines of Python
“You have this code this code to build a complete large language model that can train on a large data set and learn to speak, runs on GPUs yes, eventually is trained with RL and tool calls. That entire set of code, probably two to 300 lines of Python code.”
May 7, 2026
Kolter: Adversarial prompts optimized on open-source LLMs break commercial models
“Once we had done that, we found that when you had these weird terms that you sort of flipped around to optimize one, to optimize the response for one model, you could just take those same exact strings you would optimize, paste them into a commercial model, an…”
May 7, 2026
Kolter: State-of-the-art AI security combines classifiers, safety training, and opsec
“What they look like is basically classifiers on input. So you'll read what the, what a user types in classifiers on things like tool responses to classifiers. And when I say classifier, I just mean things that will read texts and kind of classify whether or no…”
May 7, 2026
May 7, 2026 negative
May 7, 2026 positive
May 7, 2026 positive
Text model scaling is one of humanity's top scientific discoveries
“The discovery That when you train big enough models on lots of text, and then turn, and then a little bit of additional sort of, you know, fine-tuning text, and then turn them loose to generate, that this generates long-form coherent thought. That was probably…”
May 7, 2026
May 7, 2026
May 7, 2026 positive
Kolter: Reasoning models are much harder to jailbreak via probability optimization
“Reasoning models were much more effective because you can't really do the same trick of optimizing for a probability with a reasoning model that has a whole trace of reasoning that happens in the middle and kind of reflect a bit more. So it's much harder to br…”
May 7, 2026 negative
May 7, 2026 positive
May 7, 2026 neutral
May 7, 2026
Kolter tried recruiting Schulman and Karpathy to CMU before OpenAI launched
“I was trying to get both John Schulman and Andre Karpathy to apply for faculty jobs at CMU, and I was trying to understand where they were, if they were going to apply, what they're going to be like, and they said, no, I think I'm going to be doing this startu…”