General Intuition
An AI lab whose homepage is an argument, not a product tour. It cites a 1938 book on play before it mentions the $320M round. Built with Webflow.
Details
- Platform
Webflow
- Launch
- 2026
- Palette
- Typeface
- alphalyrae
- Patterns
- Bento Grid
- Analytics
Google Tag Manager
Google Analytics 4
About this site
Site for General Intuition, a research lab building models that perceive, predict and act in virtual and physical environments, funded by a $320M Series A. The homepage runs a long essay on why intelligence trained on language alone stays “book smart”, then introduces MIRA, a playable multiplayer world model trained on 10,000 hours of bot-collected data that learns four-player Rocket League dynamics and runs in real time at 20 fps, built with Kyutai and in collaboration with Epic Games. The training data comes from Medal, a platform for gamer moments, which gives the lab action-labelled video across countless environments. Careers, partnerships and prior research close the page. White on black, one typeface. Built with Webflow.
What makes it work
- The homepage argues a thesis before it sells anything, which is how a research lab earns the right to be believed
- MIRA is playable in the browser, so the claim and the proof are one click apart
- The dataset is named and explained (Medal, action-labelled video), and that is the actual moat
- 10,000 hours, four players, 20 fps: numbers a researcher can check instead of adjectives
- A Huizinga citation from 1938 filters the audience harder than any “who is this for” section could
Why this site works
Most AI company sites open with a promise and a waitlist. This one opens with an argument: models trained on the archive of human language inherit its limits, which the page calls planar abstraction without embodiment, prediction without participation. You have to read three paragraphs before anything is offered to you. For a frontier lab that is the correct order, because the product being sold is judgement, and judgement can only be demonstrated by argument.
The essay does something else that is easy to miss. By citing Johan Huizinga's Homo Ludens from 1938 and building the case that play is how learning gets cheap, it filters its readers hard. A recruiter skims past it. A researcher who has thought about exploration and exploitation stops. That is a more honest audience filter than any "who is this for" section, and it costs the page nothing because the people it loses were never going to apply.
Then the claim gets made checkable. MIRA is a playable multiplayer world model, and the page offers the live demo, the technical report, the code on GitHub and the blog post next to each other. Ten thousand hours of data, four-player Rocket League dynamics, twenty frames per second: every one of those is a number someone can dispute, which is exactly why stating them beats any adjective. Naming Kyutai and Epic Games does the same job from the other direction.
The quietest strong move is explaining where the data comes from. Building on Medal, a platform for gamer moments, gives the lab action-labelled video across countless environments, which is the one thing a competitor cannot simply buy compute for. Saying it out loud turns a corporate detail into the argument for why this lab and not another. All of it on Webflow, white on black in a single typeface, with the restraint you find across the sites in minimal design: when the writing is the product, the design's job is to get out of the way.
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