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> He's been saying something like this for a long time [...] it's increasingly looking like LeCunn is right.

No? LLMs are getting smarter and smarter, only three years have passed since ChatGPT was released and we have models generating whole apps, competently working on complex features, solving math problems at a level only reached by a small percentage of the population, and much more. The progress is constant and the results are stunning. Really it makes me wonder in what sort of denial are those who think this has been proven to be a dead end.



Nothing you say proves or indicates that progress will continue indefinitely.

Your argument says we should have flying cars by now, because they kept on getting better.

LeCun says LLMs do text processing so won't scale to AGI, just like a faster can never fly (controllably).


When I look at these cars, I don't see them going faster, I see them hovering higher and higher above the ground. They're already flying.


Good thing nobody listened to the LeCuns saying cars were a deadend back in the 1910s.


If you call that AGI as many do or ASI, then we are not talking about the same thing. I'm talking about conversing with AI and being unable to tell if it's human or not in kind of a Turing Plus test. Turing Plus 9 would be 90% of humans can't tell if it's human or not. We're at Turing Plus 1. I can easily tell Claude Opus 4..5 is a machine by the mistakes it made. It's dumb as a box of rocks. That's how I define AGI and beyond to ASI


This goes for any experienced senior SWE individual with a sharp attention to detail can easily tell if an AI wrote a project or not.

Right now the definition of AGI has been hijacked so much that it can mean absolutely anything.


No one has even given a rigorous definition of AGI.

A prime environment for snake oil salesmen like Altman and Musk.


> No one has even given a rigorous definition of AGI.

No one has even given a rigorous definition of the I, much less the G qualifier.


Exactly.




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