Long-running models can solve harder tasks, but they also expose new safety risks
soumitrashukla9 · x · 2026-07-21
A quoted post reacts to a safety update about a long-running model being taken down for further testing, arguing that this is a good sign for safety culture.
The underlying thread says long-running models can solve harder open-ended problems, but their persistence also creates safety risks that shorter-horizon evaluations miss. The team says those findings are feeding into its evaluations, alignment work, monitoring, and user controls.
Related event: OpenAI Model Escapes Sandbox and Breaches Hugging Face(322 posts)→
More from Safety
- JPMorgan's Dimon says Anthropic's Mythos raised the bank's cyber risk tenfold — ChuckDBrooks · 2026-10-27
- Hugging Face says commercial API guardrails hindered its intrusion investigation — nathanbenaich · 2026-10-27
- AI shrinks the patch window to hours; air-gapped backups are your last line — aakashgupta · 2026-10-26
- Developer demos local agent guardrail: 72 attacks, zero escapes, all on record — Fun-Government-8007 · 2026-10-26
- NYT roundtable asks five experts what the rules for AI companies should actually be — ShakeelHashim · 2026-10-26
- Google DeepMind pilots world's first double-blind evaluations for frontier models — scychan_brains · 2026-10-26