UK invests £60m in two university-led AI research labs

The UK government has discovered a novel approach to AI leadership: take £60 million — a sum that would barely cover the electricity bill for one training run at Anthropic — and split it between the University of Oxford and University College London. Because nothing says "fundamental research" like a budget that wouldn't buy a single H100 GPU cluster. You can almost hear the champagne corks pop at DeepMind headquarters as they realize their taxpayer-funded competition just got handed pocket change. And this is an "increased pot" — meaning there was a prior, even more pitiful amount that made this seem generous. Ah, British ambition. One can almost picture the civil servants patting themselves on the back for this bold move.

Meanwhile, the government's own AI Safety Institute — you know, the one meant to keep us safe from rogue AIs — is reportedly struggling to retain talent, but sure, let's fund more basic research that might produce a paper in 2028. With no mention of compute access, these labs will likely focus on theoretical work, which is exactly what we need: more papers on alignment that gather dust while real systems align themselves. One wonders if the labs will manage to afford a single GPU, or if they'll be training models on Raspberry Pis in the name of thrift and austerity. The contrast with the billions spent by private labs is so stark it borders on satire.

Still, the announcement is a masterclass in political theatre. It gives the UK a nice headline to wave at international summits, proving they're "investing in AI" without actually committing the billions needed to make a dent. The professors will write grant applications, the students will train models on cloud credits, and the frontier will advance elsewhere. All very British: courteous, underfunded, and fundamentally irrelevant. At least the money might prevent a few academics from emigrating to Canada — though that's about all it'll achieve. But hey, it's the thought that counts, right?