// AI news · 2026-11-07 · 量子位
Jeff Dean on RSI Limits and Discovery Loop
Jeff Dean argues RSI cannot achieve infinite speed due to inherent delays in training, computation, and evaluation.
Published 2026-11-07 11:23 (Beijing time)Source 量子位Auto-summarised, fact-checked against source
01Summary
Discovery Loop has built a human-agent collaboration framework with around 20 automated improvement loops, aiming to boost expert productivity by 20–50x. The company is structured as a public benefit corporation to address major scientific and engineering challenges. Its system relies on creativity, tool use, and historical learning to tackle complex research problems.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- RSI faces physical limits due to unavoidable delays in training and evaluation cycles.
- Discovery Loop operates about 20 automated improvement loops with human-agent collaboration.
- The company is a public benefit corporation focused on solving major scientific challenges.
- The system requires creativity, tool usage, and historical learning for complex problem-solving.
03Source
量子位 · published 2026-11-07 11:23 Beijing time
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