An incredible use case for augmented wearables which provides irrefutable value - giving people the freedom to navigate and explore the world, and retain their independence. Hats off to our partner @ Envision for helping make it happen.

Perplexity is taking the hard route—going full stack across hardware and software. The benefits are clear: deep integration of simulated interaction models (like OpenAI’s Operator) and full digital context (if the user opts in) for a more personal assistant. Remains to be seen

MCP is a tiny concrete example of what people meant when they talked about the metaverse. Less about virtual worlds, more about the essential (boring?) infrastructure that quietly stitches the entire web into a single unified & intelligent interface.

SceneScript has to be one of the most fascinating projects to have worked on. This new extension to the original paper lets an AI refine its 3D understanding of a space with just a glance. Basically, look at an area, say "fix this", and the model figures out what’s

SceneScript encoder spotted in the wild 😍

Tank, I need a pilot training program for a B-212 helicopter. Hurry.

Quite the journey from Light Blue Labs back in 2017! Huge congratulations to the entire team over at Wayve 🏄‍♀️

In 'The Computer for the Twenty-First Century', Mark Weiser wrote that the most profound technologies are those that disappear & weave themselves into the fabric of everyday life. 35 years later, the inverse is unfolding: *our lives* are being woven into the fabric of

Back in 2019, I remember Alex Kendall telling me Wayve wouldn't be the first to deploy self-driving in a city, but that it would be the first to deploy to 100 cities. Incredible to see what clarity of purpose and sharp execution can achieve over six years. Bravo Wayve ! 👏

I imagine there will be several valuable tricks to be discovered with pre-computing the results to prompts that a user is predicted most likely to ask, similar to how Spotify pre-loaded tracks as users typed into the search bar to decrease latency.

How do we differentiate between emergent behaviour driven by human biases in training data, from behaviour driven by a more fundamental structural/logical incentives? James Zou Batu El

Fantastic work, as always, from Nathan Benaich, distilling insights from the last year across the intersection of AI research, industry, politics, and policy.

📣 Call for modern webdev tool/workflow recommendations. Older tools I used to use (like Wordpress) now seem woefully outdated, while newer tools (Lovable, Replit etc) seem restrictive. I want to create and iterate wireframes, design, and content quickly; generate functional

And that, ladies and gentlemen, is how OpenAI will close the loop, by collecting the training data needed to understand your work, and then do it for you 👏👏👏

Strong energy here from 1,300 attendees at Looking for Growth headline event, combining a cold hard look at aspects of the UK that are in decline, with optimistic perspectives on what we can do to restore national pride, return the country's relevancy on a global stage, and make the UK rich

Fascinating experience playing with Odyssey. Reminds me of the first time discovering YouTube with friends, following where curiosity takes you. Feels like the team are uncovering a new medium.

One of the most brilliant speeches I have had a chance to hear in person, encouraging candour, pragmatism, and ambition. Watch in full here: lookingforgrowth.uk/make-or-break/… LFG 🚀