Misha Laskin, co-founder and CEO of Reflection AI, explains why code is the primary interface for autonomous AI agents performing work.
Prediction Not checkable as stated
Solving Autonomous Coding Is the Direct Path to AGI
“Our core belief is that if you solve this problem, you solve the autonomous coding problem and build a super intelligent coding agent, that that thing will lead to super intelligence more broadly.”
Prediction Not checkable as stated
Superintelligence Cannot Be Trained Entirely From Scratch
“In the era of language models, I don't think you'll be able to train superintelligence from scratch.”
Prediction Not checkable as stated
Frontier Labs May Hoard Superintelligent Models and Release Nerfed Versions
“You can imagine you know, the world converging on a few companies have really powerful coding models. They basically release a nerfed version of that to the public at large, and basically have a competitive advantage by having, you know, a super intelligent co…”
Disclosure
Gemini 1 Proved GPT-4-Level Models Can Bootstrap Reinforcement Learning
“Giannis and I led a lot of the work for post-training and kind of RL check for Gemini, and Giannis being my co-founder, and when we shipped Gemini One, we just realized that the models, like, models that were basically at GPT-IV level or above, were capable en…”
Opinion
Software Engineering Is Ergonomic for LLMs, Making It the Ideal Wedge
“Our belief as a company is that the correct wedge in, the correct starting point to this entire problem is decoding agent, because it's already, you know, software engineering is already what I would call kind of ergonomic for a language model.”
Insight
LLMs Have Strong Priors for Code, But None for Mouse Movement
“A language model, for example, has no prior for a mouse movement. It, you know, it really never seen that on the internet, but it has a really strong prior for code. So out of the two categories, say web browsing and coding, coding is the only one that is actu…”