Generalist AI's GEN-1.5 Learns a New Robot Task From 3 to 12 Seconds of a Single Demonstration, No Training Run
Generalist AI published GEN-1.5 on 2026-08-19, a multimodal robot foundation model that takes 30 seconds of video memory plus sensor, language and proprioceptive input and emits 100Hz action trajectories. One-shot in-context prompting from a single 3-to-12-second demonstration hits 59% ± 10% average success, and few-shot adaptation via 10 gradient steps on about 50 demonstrations (5 minutes of data) reaches 83% ± 9%, with 66.5% on held-out tasks after one-step adaptation. Pretraining ran over 8 months across 1,891,392 scenes, and the company claims zero-shot sim-to-real transfer despite no simulation data in pretraining. The r/singularity thread hit 912 upvotes with the most-upvoted replies openly refusing to believe the error-correction footage.
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