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interactive video models
We are building universe simulations powered by interactive video models. We train video models that simulate hyper-realistic environments with immersive control, replacing hard-coded game or physics engines with dynamic neural networks. We built the fastest action-conditioned diffusion video model (running at 20+fps on a 4090 gaming gpu) to simulate minecraft. It is 5x faster than other minecraft World Models and was trained with 100x less resources. Our unique insight was relying on aggressive compression in our tokenizer (128x versus the traditional 8x), and because attention scales quadratically with # of tokens our model can run blindingly faster. Now we’re training a hyper realistic world model!
Lucid is a San Francisco-based company presenting itself as a simulation company focused on lucid dreaming and exploring memory, manifesting dreams, and creating infinite inner worlds. The text frames Lucid as a dream-oriented platform or concept rather than a traditional product description.
The provided website text does not describe a concrete product or how it works. It mentions themes of dreams, memory, manifestation, and lucid dreaming, but there are no features, workflows, interfaces, or technical details disclosed.
A high school dropout who got his first internship as an MLE at a robotics lab, I went on to become the CTO of a govtech contracting company. After that, I cofounded my own telecommunications company while doing ML work on the side. Now I'm building a universe simulator at Lucid.
Unbounded video games and fully differentiable reinforcement learning gyms
Lucid builds a generative simulation engine that learns physics from video to produce real-time, infinite game worlds and realistic robotics environments. They showcase a neural Minecraft simulator running at 20+ FPS on a 4090 and announce plans to train on real-world video data for a general-purpose universe simulator and differentiable reinforcement learning gyms.
Reimagining how Machines Learn
Making AI run fast on any hardware.
