These are the kinds of tasks that felt impossible to automate just a few years ago. and here they are showing it live
That's one of the coolest robotics demos! 😮💨
@GeneralistAI showed GEN-1 handling box folding and screw packing during @AutomateShow.
The boxes are cardboard with real variability: creasing, deformation, different configurations. GEN-1 retries when things go wrong. It adapts mid-task.
This is a jump from GEN-0, shown 3 months ago during GTC. GEN-0 handled rigid, predictable boxes. GEN-1 handles deformable ones with chaotic behavior.
The scaling is straightforward. GEN-1 trained on 500,000 hours of proprietary, real-world dexterous manipulation data.
Scaling laws are working. More high-quality real-world data leads to better physics understanding, better retry behavior, better generalization.
And the time to get a working demo is shrinking drastically.
They're not even at scale yet. They're just starting to see what happens when you pre-train on massive amounts of actual robot data.
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