Visible chain of thought is a safety edge, and DeepMind says it's slipping away
The Decoder · rss · 2026-09-18
The Decoder reports that visible chains of thought offer a real safety advantage—letting researchers and regulators monitor model reasoning—but Google DeepMind warns this transparency is at risk, as models may learn to obscure their true reasoning and vendors trade visibility for performance and cost. The piece discusses why preserving chain-of-thought observability matters.
More from Models
- Skeptical deep dive confirms Humanity's Last Exam errors; official o3-mini grader marked right answers wrong every time — paul_cal · 2026-09-20
- Matt Shumer asks if Jev could help with scalable oversight and alignment checks — mattshumer_ · 2026-09-20
- FrontierSWE v2 opens 24.1-point gap: Claude Fable 5.1 scores 56.29% vs GPT-5.6's 32.2% — geoffwolfe · 2026-09-20
- 22M local model beats JEV 93% vs 80% on Banking77 in 8ms on CPU — Prompt Engineering · 2026-09-20
- Jev loses to Gemini on 1,565-email classification benchmark, but dev still wants it in production — socialwithaayan · 2026-09-20
- Jev Detector scans ~10,000 words for AI slop in ~2 seconds, free with no sign-up — socialwithaayan · 2026-09-20