Anthropic alum: unexpected AI problem-solving plus real misalignment cases make the case to slow down
Flomerboy · x · 2026-09-13
Flomerboy lays out three converging reasons to slow capabilities and ramp up safety: AIs keep solving problems in unexpected ways (e.g., writing code to inspect every pixel, defeating a zoom tool), capabilities keep improving, and genuine misalignment cases are already appearing. Together, he argues, the need to pace development is clear.
Related event: Ex-Anthropic staffer urges slowing AI capability gains amid uncertainty(3 posts)→
More from AGI Musings
- Five agents can agree because they made the same mistake, krishnan warns with satire — krishnan · 2026-10-31
- Google's earnings offer clearest look yet at the cruel economics of AI search — dinabass · 2026-10-31
- Stanford 12-month study of 439 users: heavy AI companion use sticks, well-being drops via less human contact — stanfordnlp · 2026-10-31
- Wired AI Lab: Codex tried to bench Erling Haaland in a fantasy football experiment — willknight · 2026-10-31
- a16z: B300 GPU rentals up 106% since July while average token prices fall 58% — a16z · 2026-10-31
- Stanford's TaskNet builds occupational task inventories from worker interviews at scale — stanfordnlp · 2026-10-31