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Models2026-08-30 · source-backed
It combines video understanding, embodied reasoning and robot control, which the company claims is the first open model at the frontier of all three. LIBERO average is 97.2% across spatial, object, goal and long-horizon tasks, against a reported 97.0% for NVIDIA GR00T N1.7 and 96.9% for pi-0.5 in the same comparison. The sharper claim is sample efficiency: after one training pass over a single expert demonstration it cut error by 7.0x to 10.5x on three unseen tasks where pi-0.5 managed 2.3x to 3.1x. Weights are on Hugging Face, code on GitHub. (Financial Post)
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Hugging Face released Skills / Shared entities / Shared topic / Earlier coverage
Linked by a graph relationship (Hugging Face released Skills); both cover GitHub, Hugging Face; overlapping topics (against, code).
Hugging Face partners with NVIDIA / Shared entities / Earlier coverage
Linked by a graph relationship (Hugging Face partners with NVIDIA); both cover GitHub, Hugging Face; earlier GitHub coverage from 2026-07-27.
Hugging Face partners with AWS / Shared entity: GitHub / Shared topic / Earlier coverage
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Claude Code uses Hugging Face / Shared entity: GitHub / Shared topic / Earlier coverage
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Hugging Face partners with NVIDIA / Shared entity: Hugging Face / Shared topic / Earlier coverage
Linked by a graph relationship (Hugging Face partners with NVIDIA); both cover Hugging Face; overlapping topics (against, model).
Linked by a graph relationship (Hugging Face partners with NVIDIA); both cover Hugging Face; overlapping topics (company, model).
Hugging Face partners with NVIDIA / Shared entity: Hugging Face / Earlier coverage / Tension
Linked by a graph relationship (Hugging Face partners with NVIDIA); both cover Hugging Face; earlier Hugging Face coverage from 2026-08-29.
Hugging Face partners with AWS / Shared entity: GitHub / Earlier coverage / Tension
Linked by a graph relationship (Hugging Face partners with AWS); both cover GitHub; earlier GitHub coverage from 2026-08-13.