[teleforce]

Stephen Wolfram in his tutorial article on ChatGPT, in his conclusions on the main differences between human and ChatGPT learning approaches [1]:

When it comes to training (AKA learning) the different “hardware” of the brain and of current computers (as well as, perhaps, some undeveloped algorithmic ideas) forces ChatGPT to use a strategy that’s probably rather different (and in some ways much less efficient) than the brain. And there’s something else as well: unlike even in typical algorithmic computation, ChatGPT doesn’t internally “have loops” or “recompute on data”. And that inevitably limits its computational capability - even with respect to current computers, but definitely with respect to the brain.

[1] What Is ChatGPT Doing and Why Does It Work:

https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-...