UK police log 163 AI-image crimes, up from 10 in 2023
Two governments wrote AI down as a public problem overnight: Britain counted the offences, Beijing planned the grid. Plus a benchmark leader that turned out to be closed.
Twenty police forces in England and Wales recorded 163 crimes tagged with terms like "AI-generated", "deepfake" and "nudify" by July 2026, against 10 in 2023. The figures come from a keyword sweep of crime records reported by Mark Tovey at The Telegraph, so they measure how police label things rather than how many offences happened — forces that do not index free-text fields at all are invisible in the count, which means the real number is higher, not lower. What is not arguable is the shape of the curve: roughly a sixteen-fold rise in three years, with the surge concentrated in synthetic nude images of women and children made without consent. There is a recent precedent for where this lands in court — an Essex man was jailed for using AI to generate indecent images of a real person. For model providers the practical consequence is that UK enforcement now has a shared vocabulary for this class of harm, and a shared vocabulary is the precondition for charging standards, sentencing guidance, and eventually a platform-duty argument aimed at the tools rather than the user.
China's State Council put a national compute grid on the cabinet agenda. At its 11 September executive meeting the State Council studied work on "compute network" construction and reaffirmed an "8+10+3" spatial layout — eight national compute hubs, ten clusters and three compute-electricity coordination regions — while ordering joint scheduling of compute resources, more backbone fibre, and faster build-out of green-power direct connections and source-grid-load-storage projects. The line that matters for industry is the instruction to "better use market mechanisms" to match supply with demand: Beijing is treating inference capacity the way it once treated electricity, as grid infrastructure with private generation on top. That is a demand-side bet as much as a supply-side one — China expects to burn 100 quadrillion tokens this year — and cheaper, coordinated domestic capacity is how a market that volume gets fed.
The 33B model that topped its benchmark class has been quietly relabelled. Agnes AI's Hugging Face repository now carries a "Preview" tag and states plainly that the checkpoint hosted there is not the model Artificial Analysis scored at 36 on its Intelligence Index; the evaluation page separately marks the scored model as proprietary, with no weights published and no parameter count disclosed. The repo still shows an Apache 2.0 licence and a 262,144-token context window, while the ranking page lists 1M tokens for the model it tested. We covered the launch yesterday — A 33B model from Singapore just matched DeepSeek V4 Pro — on free tokens — and the correction is the story: an "estimated" leaderboard score, an open licence, and a runnable model are three separate claims, and right now only one of them is backed by a download.
What to watch: whether Agnes publishes a final checkpoint whose scores the benchmarkers re-verify, and whether British forces start reporting AI-tagged offences as a standing crime category instead of a keyword search.
Should a lab lose its leaderboard placement for scoring a model the public cannot run? Tell us in the comments.
