In your analogy to the Apple II, is there a fundamental problem people claimed for early computers, which didn’t just boil down to “they need to be faster”?
There are fundamental limitations to what an LLM can achieve.
True, I mean, just look at all of the examples of technologies that were projected to revolutionize computing and machine learning "..." eventually, here:
Just because they haven't happened to yet doesn't mean they never will!
I've heard very good things about expert systems and IBM's Watson for Oncology.
The Harvard Business Review has a great article on all of the eventual "..." AGIs here:
Integrate it with wolfram alpha and Google, tack on a bullshit detector and spank dispenser conetwork and it looks like limitations of LLMs are easily overcome by not running anywhere near them.
Today "..." and then it will be solved.
It's the most powerful operator in the whole of applied computer science.