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THE DAILY INDEX

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JOHN SCHULMAN ON DEAD ENDS, SCALING RL, AND BUILDING RESEARCH INSTITUTIONS (51 MINUTE VIDEO)

John Schulman estimates that with full hindsight, a few talented people could have built a ChatGPT-3.5-level model in 2018-2019 with a couple of GPU boxes. He described early OpenAI as a "rag tag" blend of small exploratory research projects and bigger engineering efforts inspired by DeepMind's AlphaGo. He expects value functions and offline RL to make a comeback, and warns that catch-up mode makes it harder to build exploratory research culture later.

INSIDE REPLIT'S SNAPSHOT ENGINE: THE TECH MAKING AI AGENTS SAFE

Replit built a compute and storage fabric that allows it to make changes in an isolated, reversible way. These primitives enable developers to experiment more frequently and faster. The company realized the same primitives could be used to superpower coding agents when it built Replit Agent in 2024. The system helps the human driving the agent, and the agent itself greatly benefits from the tools. This post explores the underlying systems that make the Replit Agent safe and how Replit uses them. It also takes a peek at Replit's near-term roadmap.

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