AI Models Are Getting Smarter. New Tests Are Racing to Catch Up | TIME
As AI models rapidly advance, evaluations are racing to keep up.| TIME
As AI models rapidly advance, evaluations are racing to keep up.| TIME
We evaluate whether GPT-5 poses significant catastrophic risks via AI self-improvement, rogue replication, or sabotage of AI labs. We conclude that this seems unlikely. However, capability trends continue rapidly, and models display increasing eval awareness.| METR’s Autonomy Evaluation Resources
This post introduces the AI 2027 report.| Reflective altruism
AI 2027 predicts AIs with superhuman coding ability in 2027. This supplement details our model for forecasting when the Superhuman Coder milestone will be achieved, building off METR's time horizon work, and justifies why we think it’s plausible it is achieved by 2027.| ai-2027.com
And the role of evaluations in AI governance| www.hyperdimensional.co
Welcome to the latest issue of your guide to AI, an editorialized newsletter covering the key developments in AI policy, research, industry, and start-ups over the last month.| press.airstreet.com
