Our mission is
general causal intelligence
AI that is capable of (1) predicting the future and (2) identifying the optimal actions to change that future.
To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because domains governed by physics have inherent cause and effect relationships, unlike visual or textual data.
Weather is the ideal training ground for an LPM. It is the most well-observed physical system, offering rapid, objective ground truth feedback from sensory observations and data at a scale that dwarfs what is used to train today’s LLMs.
Just as massive multi-sensor datasets enabled self-driving vehicles to perceive, plan, and act autonomously in the real world, we believe an LPM will unlock the possibility to precisely predict the weather, plan optimal decisions, and ultimately control our environment.
Causal Labs is a team of researchers and engineers from self-driving, drug discovery, and robotics who believe general causal intelligence will be the most important technical breakthrough for civilization.
the Causal Labs team
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