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Physical Intelligence on Health · ViralLoop

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Physical Intelligence@physical_int

We set out with the goal of understanding what it would take to make human data useful for VLAs like π0.5. We record egocentric human data with wearable cameras, and then include it in a co-training recipe with hand poses serving as actions.

196 likes2 repliesPosted Dec 17, 2025

View the original on X Written by Physical Intelligence. Captured Sep 4, 2026.

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30

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Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: corporate
Written for: Founders, marketers and operators

Analysis by ViralLoop — not written by the original author.

Topics

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More from Physical Intelligence

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We were surprised, and wanted to understand why. What about π0.5 enabled emergent human-robot transfer? We ran an experiment to test if it only appears above a certain scale. Turns out human transfer scales with the amount & diversity of robot data in VLA pre-training!

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We discovered an emergent property of VLAs like π0/π0.5/π0.6: as we scale up pre-training, the model learns to align human videos and robot data! This gives us a simple way to leverage human videos. Once π0.5 knows how to control robots, it can naturally learn from human video.