AI companies may already be incentivized to hide risk, not measure it
CFGeek · x · 2026-07-26
In this reply thread, the author argues that AI companies may already be incentivized to hide evidence of risk and avoid actions that would reveal new evidence, such as safety and control evaluations.
- The concern is not just about whether models are risky, but whether the current incentive structure discourages measuring that risk.
- The author says other industries may offer useful lessons for designing better measurement and oversight.
- They also note that building the evaluation harnesses and refinement pipelines is non-trivial, and mention the recent Hugging Face hack as a reason to be more careful about how these systems are handled.
- The broader point is that safety work can become distorted if the industry treats evals as merely PR or capability elicitation rather than a genuine risk-assessment mechanism.
Related event: Musk and AI Safety Experts Call to Stop Public Dangerous Capability Evals(6 posts)→
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