lingbot-world

Yup, similar concepts! Just at two opposite extremes of the compute/scaling spectrum. - That forest trail world is ~5 million parameters, trained on 15 minutes of video, scoped to run on a five-year-old iPhone through a twenty-year old API (WebGL GPGPU, i.e OpenGL fragment shaders). It's the smallest '3D' world model I'm aware of. - Genie 3 is (most likely) ~100 billion parameters trained on millions of hours of video and running across multiple TPUs. I would be shocked if it's not the largest-scale world model available to the public. There are lots of neat intermediate-scale world models being developed as well (e.g. LingBot-World https://github.com/robbyant/lingbot-world, Waypoint 1 https://huggingface.co/blog/waypoint-1) so I expect we'll be able to play something of Genie quality locally on gaming GPUs within a year or two.

Whoa, whoa, whoa. That's just one angle. Please don't bin that as the only use case for "world models"! First of all, there are a variety of different types of world models. Simulation, video, static asset, etc. It's a loaded term, just as the use cases are widespread. There are world models you can play in your browser inferred entirely by your CPU: https://madebyoll.in/posts/game_emulation_via_dnn/ (my favorite, from 2022!) https://madebyoll.in/posts/world_emulation_via_dnn/ (updated, in 3D) There are static asset generating world models, like WorldLabs' Marble. These are useful for video games, previz, and filmmaking. https://marble.worldlabs.ai/ I wrote open source software to leverage marble for filmmaking (I'm a filmmaker, and this tech is extremely useful for scene consistency): https://www.youtube.com/watch?v=wJCJYdGdpHg https://g