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tony xiao

T2 · manager / operator

Achieved 99% zero-shot laundry folding across 785 attempts. Demonstrated oneshot learning emergence from scaled pre-training. Pursuing physical AGI via parallel skill training; home robot form factor agnostic.

1 call·1 name·100% bull·last heard 2 months ago·TBPN
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$SUNDAY-ROBOTICSSunday Roboticsposition

Sunday Robotics achieves 99% zero-shot laundry folding, oneshot learning emerges from scaled pre-training

Scaling pre-training data and compute enables oneshot learning—robots can learn new folding styles from one demonstration and generalize to unseen garments/environments—marking a step toward physical AGI where thousands of home skills can be trained in parallel.

TBPN2026-07episode →

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  • Robotics & Physical AI1
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$SUNDAY-ROBOTICS
Sunday Robotics
HIGHtony xiao·TBPN·2 months ago·Kimi, Odyssey, Tyler Cowen Joins, 5 Cups of Coffee, Aston Martin x COD· position
Sunday Robotics achieves 99% zero-shot laundry folding, oneshot learning emerges from scaled pre-training
Scaling pre-training data and compute enables oneshot learning—robots can learn new folding styles from one demonstration and generalize to unseen garments/environments—marking a step toward physical AGI where thousands of home skills can be trained in parallel.
"when we scale up pre-training, you can do oneshot learning with these models... you can teach the robot to fold your shirt in a new way with one demonstration and the model can ex…"
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Robotics & Physical AItailwind
Scaled pre-training unlocks oneshot learning in robotics: one demo generalizes to unseen objects/environments
Sunday Robotics demonstrates that massive pre-training on diverse manipulation data enables emergent oneshot adaptation—teaching a robot a new folding style once transfers to unseen shirts and surfaces—suggesting physical AGI path via parallel skill training rather than per-task engineering.