Researcher floats hypothesis: noisy AI literature may slow recursive self-improvement
Rylan Schaeffer proposes a "tinfoil hat" hypothesis that recursive self-improvement (RSI) may lag behind math and coding capabilities, because much of the AI/ML literature contains errors and noise, unlike largely correct math papers on arXiv.
2026-09-28 ~ 2026-09-28 · 2 related posts
- Researcher's tinfoil theory: bad ML papers may slow AI self-improvement below math/code pace — RylanSchaeffer · 2026-09-28
1 near-duplicate retellings: RylanSchaeffer