LLMs are already doing autoresearch, and the gap may widen again
teortaxesTex · x · 2026-07-20
- The post argues that LLMs have already been doing a form of autonomous research for a while, so the idea of “RSI” is not a sudden discontinuity.
- It also echoes a claim that the China–US model gap has not really closed over the past two years, and may widen again.
- The rationale given is that frontier labs were compute-constrained, shifted compute toward RL because returns were higher, and are now in a phase where faster compute growth lets them scale both pretraining and larger RL runs at once.
- The quoted thread adds that much of the apparent gap narrowing may come from delayed public releases, stronger internal models, and benchmark overfitting in China.
- The long-term implication is that model progress could accelerate from here, with a more dramatic gap widening in the next 6–12 months.
More from AGI Musings
- AI media may be cleaned up with provenance tracking, notes, and prediction markets — NathanpmYoung · 2026-07-22
- Ryan Greenblatt says economists underestimate AI’s growth impact even in a 100 million worker scenario — RyanGreenblatt · 2026-07-22
- Peter Diamandis says experts in the old world are often last to see the new one — PeterDiamandis · 2026-07-22
- Claude Code skill uses 10 Markdown rules to make outputs ADHD-friendly — alex_verem · 2026-07-22
- AI Power Demand Exposes US Energy Gap, Urging Shift from Scarcity to Abundance — bradneuberg · 2026-07-22
- ControlAI CEO says an international ban on superintelligence is needed to avert extinction risk — zetalyrae · 2026-07-22