LOL. Providing a counter example is far from just an anecdote.
The claim was this is not possible. I show it happening. That's a proof.
You're confused because the example is my own project. But I'm not merely describing it - I am giving you full access to it to confirm or reject my argument.
Not anecdotal. Saying it three times does not make it true.
If you want to have a whack at a hard problem, have a try at the cryptographic puzzle in Noita if you want to see the silly failure modes of these systems. Lots of people have tried to solve it with AI and nothing's budged. If you can solve it, great.
What does your new subject have to do with the fact that the previous arguments were all pretty much baloney?
Pointing to a problem that has not been solved is completely unrelated to the miraculous things that have been solved.
And I thought you'd decided (three times now) that I'm not worth talking to?
You're right - there are still many problems that have not been solved by AI. AI has not found a cheap and effective way to turn lead into gold, as an example.
But I sorta think that's a silly metric. There are always going to be unsolved problems for any system. The interesting metric is how many problems have been solved - and how surprising are they.
Like I said above - a decompiler that produces semantic understanding of the machine code it's looking at (this address is score; this address is how many lives are left; this address is...) would have been considered literally impossible before LLMs. Today, I was able to implement such a system in under two weeks.
That's an impressive result. If you disagree, I'd love to discuss it with you.
But what I'm interested in is in the edges of their failure modes because those failure modes prop up frequently in pernicious ways. For a similar reason that I want to understand the edges of my own intellectual failure modes by regularly challenging myself. This conversation is an example of that.
It seems like you're just not interested in discussing the edges and failure modes. You call that a "silly metric", I call it, "understanding your tools".
Granted, that's not exactly the claim these days, the claim's goalposts shift constantly, as these things do.
But if you go back to the top of this conversation - I asked why people aren't seeing the miracles (not cute tricks - useful things that simply were impossible before) and I was largely met with the response "you're delusional if you see miracles."
But the thing is - I am not. So I am going to continue arguing that case every time I see a version of it.
So no, I'm not interested in exploring other issues. Sorry. Yours in particular I find as interesting as discussing whether Microsoft Word can be used to edit video files. Not interesting.
But if you need validation, here it is: there are many problems that AI cannot solve. Of course there are. There always will be.
Do you have a weird need to reframe this so you can feel like you won? You shouldn't do that. It's not healthy.
HEH. Not sure why you're implying I have changed my position. I said as much above and would have said the same at any time. I don't think it's controversial in the least that there are things AI can't do.
Do you have a weird need to reframe this so you can feel like you won? You shouldn't do that. It's not healthy.
You could say "I used AI to cure cancer." This isn't a counter example, because there's no evidence for it.
Which is why I provided a link to a the source of one such project above. I have several projects in that Github account if you need more.
Perhaps you didn't see it.