Creating a foundation model for robots requires roughly 2x the complexity of a LLM if you compare both to a human brain A LLM is capable of language processing, memory, reasoning, pattern matching, and creativity and could represent 20-25% of the human brain A humanoid foundation model expands these cognitive functions to "embodiment" and requires all of the above plus spatial awareness, proprioception, sensory processing, motor functions, and real-time adaptability. A humanoid foundation model capable of autonomous work could approximate 50-60% of the human brain One of the most challenging and fascinating areas of research out there https://t.co/gNulmHzRPh