Thanks, that's a reasonable argument. Some critique: based on this argument it is very surprising that LLM work so well, or at all. The fact that even small LLM do something suggests that the human substrate is quite inefficient for thinking. Compared to LLMs, it seems to me that 1. some humans are more aware of what they know; 2. humans have very tight feedback loops to regulate and correct. So I imagine we do not need much more scaling, just slightly better AI architectures. I guess we will see how it goes.