RSI Experiment Sparks Singularity Debate
KordingLab · x · 2026-07-16
This post discusses two main points:
- An experiment on Recursive Self-Improvement (RSI): Researchers spent 8 days building an agent that automates research, which eventually outperformed their manually tuned harness on a held-out benchmark that took two years to optimize.
- A counter-argument suggesting that RSI yields diminishing returns, meaning a technological singularity is unlikely.
By juxtaposing an experimental RSI breakthrough with a rebuttal of the singularity narrative, the post sparks a debate on just how far models and agents can go through self-improvement.
Related event: AIDE² Self-Improvement Run Beats 2 Years of Manual Tuning(12 posts)→
More from Research
- OpenAI says long-horizon models need safety and alignment checks across full action sequences — rhiever · 2026-07-22
- A Reddit user proposes a consistency LoRA to keep anime and game scenes visually stable — ThirdWorldBoy21 · 2026-07-22
- Graph workload 854.graph500 enters SPEC CPU 2026 as a new CPU benchmark — Prof_DavidBader · 2026-07-22
- BlackboxNLP 2026 is recruiting extra reviewers after a high submission volume — hanjie_chen · 2026-07-22
- AWS shows self-distilled reasoning can preserve math and coding skills during SFT — AWS ML Blog · 2026-07-22
- UI2App shows screenshot fidelity still lags real interaction recovery — Grace Man Chen · 2026-07-22