I am increasingly frustrated about the state of conversation about AI in the UK. It feels like we are in never ending cycles of deluded thinking. Under current trends, Britain will be defenceless against the transformative effects of AI and have no leverage over development at the frontier. We are the most exposed economy to AI in the world. We have very little data centre capacity and few credible plans to expand – and our high energy costs mean we would struggle to even if we tried. I am publishing a paper today on what the UK should do to build that leverage, let the economy capture value from AI and prepare the state to adapt, however AI develops. The three strategies are as follows: 1. Build the infrastructure that gives us leverage. Fix the grid, fix planning, make Britain a place frontier AI can run. 2. Let the economy capture the value of AI. Reform the regulatory, labour and talent barriers that stop British firms adopting AI. 3. Build a state that can adapt to a changing world. Build a tax base that survives the labour market changing, public services that use AI to deliver better, and capacity to weather the upcoming geopolitical storms. Two years ago, we published a similar report on AI - many recommendations of which ended up in the action plan. I remember feeling hopeful, but sadly the fundamental problems facing the country on AI have not shifted. I truly hope that this week of momentum culminates in action. There’s still a narrow path for the UK, but everyday that path is narrowing.

Put the right tools in the hands of ambitious builders and they'll show you things you didn't expect. Great seeing that in action at our @awscloud Global Meeting this week. Thanks to @mza for hosting, @odysseyml's @olivercameron for showing us Agora-2, and @Francessca_V and @steipete, creator of @openclaw and now at @OpenAI, for a great conversation on how AI is changing the way developers build. Grateful to everyone pushing the work forward.

One of the killer applications of world models is to train agents themselves. If a world model can simulate infinite, intelligent worlds, we can push agents to new heights of intelligence and utility. Can't wait to see what's built with Odyssey-3 ❤️

I spent 2015-2023 building self-driving cars. It was so painful. It's now 2026, and we tasked just 1 researcher to take Odyssey-3, our latest world model, and teach it to drive the roads of India with just 20 hours of driving data. And…it works! This is insane.

For those that think safety/alignment researchers are fear-mongering, remember they have access to models with zero safeguards, and those models are far more capable than models you have access to. We all get the lobotomized, mostly controlled intelligence.

World models represent a new AI category, learning world dynamics from visual and auditory experience. This enables advances in robotics, gaming, advertising, defense, education, and retail. Here's @jeffrey_hawke of @odysseyml at @raais

I'll be presenting our work on calibration for video world models at WOOP @ ECCV on Tuesday in the MalmoMassan Exhibit Hall at 15:10 – 16:10. tl;dr if you simulate random physics experiments with SOTA world models the odds you measure are wrong! #ECCV2026#