Figure introduced Helix 2.5 on September 17, 2026, a humanoid neural network pretrained on the company's Index dataset of human behavior and evaluated across 30 Bay Area homes with no data collected in any of them. Figure reported that Index pretraining raised zero-shot success from 9% to 56% in a controlled comparison against an otherwise identical policy trained from scratch. Figure described Helix 2.5 as the most advanced neural network it has built. From the single Index-pretrained…
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