UK's AI Security Institute finds standard benchmarks systematically underestimate what AI agents can actually do
Your AI benchmarks are lying to you. The UK's AI Security Institute just proved standard evals underestimate agent capabilities by 60%.

Why it matters
Industry benchmark methodology is fundamentally flawed—token budget constraints mask true frontier progress. This has immediate implications for how founders, investors, and CTOs assess model capabilities and competitive positioning.
The key facts
5 to knowUK AI Security Institute study covers 7 benchmarks
Software engineering task success rates jumped ~25% with 10x token budget increase
Frontier progress measured at 60% steeper than previous benchmarks suggested
Newer models show largest gains from increased compute budget
Finding: standard evaluations systematically underestimate agent capabilities
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: In a study covering seven benchmarks, the UK's AI Security Institute shows that standard AI evaluations systematically underestimate agent capabilities by capping the compute budget. On software engineering tasks, success rates jumped about 25 percent when the token budget was increased tenfold.…