Debate: laptop-scale, self-improving AI is nowhere close, argue critics
binarybits · x · 2026-09-18
In a debate over 'spontaneous' AI self-improvement, one side argues model training is a massive industrial process requiring thousands of GPUs and hundreds of humans. The other (binarybits) concedes that a laptop-scale model significantly improving itself without external compute or human help would be remarkable—but insists we are nowhere close to that.
More from AGI Musings
- Santa Fe Institute's Eric Smith on the anthropocentrism paradox in one quote — danfaggella · 2026-11-02
- Blogger claims the next generation won't need a college degree to live well — rand_longevity · 2026-11-02
- Carl Frey: 85% in China see AI as beneficial vs 38% in US — resistance maps to expertise costs — carlbfrey · 2026-11-02
- After a painful rebuild, fejau concedes: build on Hermes and you own your AI for life — Teknium · 2026-11-02
- 'Meatwashing': manually rewriting AI output to hide its origin, and why it's a double waste — JeremyNguyenPhD · 2026-11-02
- AI safety researcher: AI companies entirely lack this kind of effective human oversight — davidmanheim · 2026-11-02