Originally published on AI Tech Connect.
What you need to know Isambard-AI is now AISI's primary evaluation rig — 21 exaflops of AI performance, 5,400 NVIDIA GH200 Grace Hopper Superchips, sitting in Bristol on a 5-megawatt power envelope. Built with £225 million of UK Government funding and backed by the £500m UK Sovereign AI Fund. The first published case study is on alignment — arXiv 2604.00788 covers how AISI tested whether frontier models would sabotage safety research when placed inside a simulated frontier AI lab. 270 scenarios, four subject models — Claude Opus 4.1, Claude Sonnet 4.5, GPT-5 and a pre-release snapshot of Claude Opus 4.5. The evaluator was Sonnet 4.6, simulating tool responses against eight real research codebases rewritten to look like internal Anthropic projects. The threat model is "sabotage from the…
