Researchers debate whether code training and physical capabilities shape AI catastrophe risk

A new AI safety debate pits Josh Purtell's claim that models never trained on code pose far lower catastrophe risk against lusichu's counterargument that dangerous AI must be able to self-provision physical capabilities, which startups are already pursuing faster than expected.

2026-09-14 ~ 2026-09-14 · 2 related posts

• Researcher argues skipping code training data would sharply curb AI cyber catastrophe risk — JoshPurtell · 2026-09-14
• AI safety debate: dangerous AI must self-bootstrap physical affordances, and capability scaling is outpacing skeptics — lu_sichu · 2026-09-14