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# First Steps Toward Automated AI Research — Richard Socher, CEO Recursive AI

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 20 min read · 0 upvotes · 0 comments

## Summary

Richard Socher, CEO of Recursive AI, presents his vision for a 'Eureka machine' — an AI system capable of automating scientific discovery across all fields. Drawing parallels to biological evolution, he argues that automating the research process (ideation, implementation, validation) is the next major step-function for humanity. He outlines four pillars: a knowledge base of existing science, scientific measurement data, simulations, and physical lab experiments, all orchestrated by an agent swarm. As proof-of-concept, Recursive AI demonstrated their auto-research system on three benchmarks: NanoChat (improving bits-per-byte from 0.93 to 0.91 with novel architectural ideas), NanoGPT speedrun (beating year-long human+AI efforts by over 2 seconds), and CUDA kernel optimization (surpassing Nvidia leaderboard results across all categories). Socher distinguishes true recursive self-improvement (RSI) — where an AI has full self-awareness of its shortcomings and updates its entire training pipeline — from simpler auto-research loops, and argues RSI is now feasible because AI can code over longer time horizons.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=pWXUkLP9uWM>

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