AI 导读
机器人领域存在一个根本性的数据问题。 与 LLM 不同，机器人无法简单地从互联网上学习。它们需要大量真实世界的人类经验。 @humynlabs 构建了一个平台，能够捕捉视觉、音频、运动和触觉方面的经验，并将其转化为 Physical AI 的训练数据。 这可能成为扩展机器人技术的关键缺失层。从而催生我们在 LLM 上看到的那种突破。
正文
Robotics has a fundamental data problem.
Unlike LLMs, robots can’t simply learn from the internet. They need enormous amounts of real-world human experience.
@humynlabs has built a platform to capture that experience across vision, audio, movement and touch, and turn it into training data for Physical AI.
This could be a crucial missing layer for scaling robotics. And thereby enable the kind of breakthrough we have seen with LLMs.
来源：@kimmonismus · x.com