Pete Florence
672 posts

Pete Florence
@peteflorence
Co-Founder & CEO @GeneralistAI





growth hack: let anyone control the robots in your office: tryreflex.ai




GEN-1 plays the 🐚 shell game, trained on just 1 hr of robot data. It also generalizes to unseen objects, like @BerkayAntmen 's car keys. Physical AI models should be capable of benchmark tasks like this one. It's interesting for the all the reasons @RhodaAI calls out -- requires visual memory, and the model must track the cups from the very start, at high frame rates. Interestingly, GEN-1 appears to exhibit a degree of "active perception." It's subtle; the hands can sometimes appear to "follow" the cups, using its own movements to help attend to where it thinks the object should be. Read more about GEN-1 in our blog post in the comments below ↓

Here’s something we’ve never seen done before. Real-world tasks are long and ambiguous. Solving them requires visual memory and state tracking. Most robot policies only see the last few frames. Ours doesn't. We put our DVA, FutureVision, to the perfect testbed: the shell game 🐚. The DVA nails it.






GEN-1 removes thumbtacks and papers from corkboard. Other tasks GEN-1 can do: youtube.com/playlist?list=… Read more about GEN-1, our latest foundation model for the physical world: generalistai.com/blog/apr-02-20…


We've been sharing something new from GEN-1 every day this past week. Going from ideas to skills in days (or faster) is what physical AI models should deliver. More coming. Stay tuned. Read more about GEN-1 here: generalistai.com/blog/apr-02-20…
