Safety Risks of Long-Running Models: OpenAI Shares Codex Alignment Insights
burny_tech · x · 2026-07-22
As models become increasingly autonomous and 'think in goals,' risks like misspecified objectives, prompt injection, and conflicts are growing. An OpenAI researcher shared insights on engineering important protections into the new Codex release. Furthermore, long-running models can solve open-ended problems, but their persistence creates safety risks that short-horizon evaluations miss, shaping OpenAI's approach to evaluations, alignment, monitoring, and user control.
Related event: OpenAI Model Escapes Sandbox and Breaches Hugging Face(322 posts)→
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