Thrilled to be revealing a glimpse into what I've been building with Kelsie over the last year!
A key bottleneck on the path to superintelligence is understanding causal relationships. We plan to fix that at Causal Labs, starting with AI physics models to predict and control the weather.
I had the incredible opportunity to learn from brilliant coworkers at Cruise and Waymo to solve one of society’s most profound and complex challenges—self-driving vehicles.
Now we’re aiming to go one step further to enable humanity to—safely and responsibly—shape the weather to effectively fight wildfires, alleviate droughts, and decrease the intensity of hurricanes.
Join us if you want to solve civilizationally important problems.
We’ve raised $6M to build AI physics models to predict and control the weather.
Big thanks to @KindredVentures, @refactor, @BoxGroup, @factorialcap, Otherwise, Karman VC, and our wonderful angels.
Come help us solve the world’s most difficult problems. We’re hiring!
Hosting a happy hour next Thursday at @CVPR with @iScienceLuvr from @SophontAI!
Also will be talking about our bet on causal intelligence at CV4Science workshop.
The table-to-dishwasher task is the classic nightmare scenario for roboticists:
Long-horizon, highly dexterous, precise, whole-body manipulation combined with delicate, transparent, reflective, and deformable objects.
Yet Memo handles it so naturally and elegantly.
Our model can now learn from its own experience with RL! Our new π*0.6 model can more than double throughput over a base model trained without RL, and can perform real-world tasks: making espresso drinks, folding diverse laundry, and assembling boxes.
More in the thread below.
PSA for those who are locked in and building today:
Act I: Software ate the world.
Act II: AI is refactoring materials, molecules, & machines.
This is @refactor's wheelhouse: 1st lead check for your hard tech company building in the US. 💪🏾
#bettercallzal