METR’s July 2025 analysis asks whether task-completion horizons transfer beyond its original software evaluations. It reanalyzes nine existing benchmarks, fitting success against human completion time where suitable measurements are available. The relationship is useful in several settings but differs across domains and weakens when proxies such as video length or task fees stand in for human effort. Some fits require constrained assumptions, and agents, datasets and scaffolds are not matched across benchmarks. The study supports checking the metric’s validity locally rather than treating a single horizon as a universal measure of autonomy.
Human-time horizons need validation within each evaluation domain
Related research
More curated notes connected through Model Evaluation.
Pacing model development in an era of cyber-critical capabilities
OpenAI says preliminary evidence that Astra may meet its Critical cybersecurity threshold led it to pause frontier reinforcement-learning work for two weeks and keep its largest planned run on hold. New safeguards include stronger workload and network isolation, continuous boundary testing, token-level monitoring that escalates suspicious tool activity, and broader alignment checks for deception, reward hacking, and unauthorized access.
A blueprint for democratic governance of frontier AI
OpenAI proposes a three-part U.S. frontier-AI governance model: harmonize emerging state safety laws into a federal baseline, strengthen CAISI as an evaluation and standards institution, and coordinate a broader resilience program. Proposed controls include severe-risk evaluations, transparency reports, independent audits, safety-incident reporting, model-weight security, whistleblower protection, and periodic technical assessments.
OpenAI’s Frontier Governance Framework
OpenAI's 22-page Frontier Governance Framework maps its frontier-model processes to California's Transparency in Frontier AI Act and the EU AI Act's general-purpose AI code. It documents lifecycle risk assessment, cyber-offense and other risk tiers, mitigation and residual-risk decisions, critical-incident handling, security risk management, model reporting, external review, responsibility allocation, and change control.