Fei-Fei Li(@drfeifei)

I’m very excited by this test time training work for robotic learning! It’s an awesome collaboration...

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I’m very excited by this test time training work for robotic learning! It’s an awesome collaboration...

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Fei-Fei Li on X: "I’m very excited by this test time training work for robotic learning! It’s an awesome collaboration b...

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  • 主题聚焦：I’m very excited by this test time training work
  • 来源：Fei-Fei Li(@drfeifei)，建议结合原文判断细节。
  • AI 分析暂不可用，本条为保底评分与摘要。
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Fei-Fei Li on X: "I’m very excited by this test time training work for robotic learning! It’s an awesome collaboration between @StanfordSVL and @NVIDIARobotics !" / X

Fei-Fei Li

@drfeifei

I’m very excited by this test time training work for robotic learning! It’s an awesome collaboration between

@

StanfordSVL

and

NVIDIARobotics

!

Jim Fan

@DrJimFan

15h

We scaled a robot model natively to 8,000 timesteps of context, 5 minutes worth of muscle memory, with constant inference cost. Robot policies used to live their lives a few frames at a time (< 0.1 sec), instantly forgetting what just happened. We pushed to 3 orders of magnitude

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8:55 PM · Jul 15, 2026

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