Brett Adcock 提出人形机器人成熟需经历四个阶段:先造出优秀的人形硬件,再让硬件运行全身 AI-first 架构,这两章无法靠资本堆砌,需要硬件、控制、AI 与系统集成的深度工程。第三章是智能规模化,瓶颈在数据与算力,他认为人形机器人最终所需的数据和算力将远超 LLM。最后一章是制造规模化与经济整合,这两章可被资本加速,需要数百亿乃至上千亿美元投入。
Here’s my outlook on humanoid robots. There are four stages of maturity, and each is gated by progress in the stage before it
First, you have to build great humanoid hardware
Second, that hardware needs to work with a whole-body, AI-first architecture
These first two chapters can’t be brute-forced with capital. They require deep engineering across hardware, controls, AI, and systems integration
The third chapter is scaling intelligence. The primary bottlenecks become data and compute. I believe humanoid robotics will ultimately require far more of both than LLMs
The final chapter is scaling manufacturing and integrating humanoids into the economy at massive scale
These last two chapters - intelligence and manufacturing - can be accelerated with capital. Doing them correctly will require tens, and eventually hundreds, of billions of dollars https://x.com/humanoidsdaily/status/2101253445646721352/video/1
来源:Brett Adcock · x.com