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Chris Paxton· @chris_j_paxton · X·· 3 days agoEditorial score35

There remains no true general purpose robotics model -- not even from OpenAI

Summary

There remains no true general purpose robotics model -- not even from OpenAI

Source: Chris Paxton — X Robotics · Read original article ↗

Article text · Original source · English

There remains no true general purpose robotics model -- not even from OpenAI

What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Reported numbers

  • comparisons

    901

    View original evidence
    In 901 head-to-head comparisons, AI agents made more progress in 394 runs, VLA models led in 265 runs, and 242 runs were ties.
    Open source S3
  • AI agent wins

    394

    View original evidence
    In 901 head-to-head comparisons, AI agents made more progress in 394 runs, VLA models led in 265 runs, and 242 runs were ties.
    Open source S3
  • VLA model wins

    265

    View original evidence
    In 901 head-to-head comparisons, AI agents made more progress in 394 runs, VLA models led in 265 runs, and 242 runs were ties.
    Open source S3
  • ties

    242

    View original evidence
    In 901 head-to-head comparisons, AI agents made more progress in 394 runs, VLA models led in 265 runs, and 242 runs were ties.
    Open source S3
  • paper: not_reported
Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

In 901 head-to-head comparisons, AI agents made more progress in 394 runs, VLA models led in 265 runs, and 242 runs were ties.

Open source S3

There remains no true general purpose robotics model -- not even from OpenAI

Open source S1

【引用 @RoboColosseum】2/ General-purpose AI can compete with VLA models built for robots.

Open source S2

But results varied, so there’s no one-size-fits-all winner.

Open source S4
Quoted postRoboColosseum@RoboColosseum
2/ General-purpose AI can compete with VLA models built for robots. In 901 head-to-head comparisons, AI agents made more progress in 394 runs, VLA models led in 265 runs, and 242 runs were ties. But results varied, so there’s no one-size-fits-all winner.
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Source:Chris Paxton · x.com

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