Comment by nebukhadnezzar

These arguments do matter since the system often confidently <<reasons>> incorrectly, and people still incorrectly believe that the system actually deduces semantic meaning behind it's output. The system has no grounding in truth whatsoever. It's impressive nonetheless, but it's still a large lookup table for pattern matching. I'm convinced bruteforcing these LLMs won't give us anything near AGI. We're going to need to start funding more alternatives too, which often are shadowed by these large bruteforce models.