AI safety researcher: media fixates on AI policy disagreements, ignoring broad common ground
davidmanheim · x · 2026-10-27
AI safety researcher David Manheim argues there's substantial convergence on easy-win AI policies that figures as diverse as Sneha Revanur, Tyler Cowen and Alex Bores would endorse, but newspapers highlight disagreements instead. He adds that catastrophic and existential risk policy responses diverge: many argue human oversight and domain restrictions suffice for catastrophes, treating recursive self-improvement as acceptable.
More from Safety
- Daniel Kokotajlo debates a Chinese AI safety startup on whether CoT monitorability evals prove enough — S_OhEigeartaigh · 2026-10-27
- AISI's ReproBAIT benchmark tests whether coding agents can rebuild biological AI tools from scratch — charlieharris01 · 2026-10-27
- Stephen Casper launches TAIGR Lab at Harvard Kennedy School for technical AI governance research — StephenLCasper · 2026-10-27
- Matthew Green recalls being brushed off by OpenSSL weeks before Heartbleed hit — matthew_d_green · 2026-10-27
- Tailscale confirms privilege escalation flaws in SSH, patched client due October 27 — cocktailpeanut · 2026-10-27
- Quick 3-step check reveals most Tailscale users never enabled the vulnerable SSH feature — cocktailpeanut · 2026-10-27