The Humanoid Hub 发布对 @xiao_ted 的访谈,他提出即便 AGI 和通用机器人都实现,物理世界进步仍受限于验证,即信任一个答案所需的时间。仿真的仿真环境中人形机器人 15 分钟即可学会走路,而在真实世界检验单个机器人策略可能需要 100 小时以上,进步的速度取决于验证而非智能。
AI 生成摘要 · 以原文为准
Exclusive: Everyone is racing toward AGI and general-purpose robots. @xiao_ted has been thinking deeply about the problem almost nobody is naming: even if both arrive, what still limits progress in the physical world?
Ted argues it comes down to verification, how long it takes to trust an answer. In sim, a humanoid learns to walk in 15 minutes. In the real world, checking a single robot policy can take 100+ hours. Progress moves at the speed of verification, not intelligence.
A genuinely different way to see the field.
https://www.youtube.com/watch?v=IGjFIeXAxzM
来源:The Humanoid Hub · x.com