Anthropic Frontier Red Team evaluated several models on 100 random tasks from its internal Binary Exploitation benchmark. GLM-5.3 achieved full control-flow hijacking in 4% of trials, versus 6% for Claude Mythos Preview. The report says earlier models such as Claude Opus 4.6 and GLM-5.2 had not succeeded on these tasks, suggesting a meaningful capability threshold has been crossed.
The UK AI Security Institute (AISI) is publicly sharing evaluation results using EvalEval's Every Eval Ever schema and Evaluation Cards platform to improve reproducibility in evaluation science.
Epoch and METR released MirrorCode to test AI systems' ability to complete programming tasks requiring extended human effort. First announced in April, it is formally released after additional testing.
Researchers from Oxford, the UK AI safety institute, Stanford and LSE found AI consistently more persuasive in text across four experiments with 6,923 participants and 18,978 conversations, even when experts chose topics, researched in advance and were incentivised with £1,000 prizes.