LLMs vs AGI
Cluster centers on debates about whether large language models (LLMs) can achieve, simulate, or lead to artificial general intelligence (AGI), with most comments arguing LLMs fall short and new approaches are needed.
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It's too soon to say anything like that is proven. Sure, AGI hasn't been reached yet. I suspect there's some new trick that's needed. But the work going into LLM's might be part of the eventual solution.
Luckily LLMs seems quite limited and are far away from AGI.
Why is it ridiculous that an LLM or a system similar to or built off of an LLM could reach AGI?
LLM is not AGI and there's no way to AGI from LLM. Put down the kool-aid.
Humans resemble AGI more than they do LLMs
who cares if they do it with LLMs or not? how do you define agi?
Pretty sure that would require AGI, and is at least well beyond the means of LLMs.
Are you claiming that LLMs have achieved AGI?
It sounds like you're arguing against LLMs as AGI, which we're on the same page about.
That's how you know LLM's aren't AGI.