alt Hacker News"Artificial general intelligence (AGI) is a type of artificial intelligence that matches or surpasses human capabilities across virtually all cognitive tasks." [Wikipedia]
One can argue that they have already achieved this. At least for short termed tasks. Humans are still better at organization, collaboration and carrying out very long tasks like managing a project or a company.
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You can't say someone has achieved artificial general intelligence for some specific subset of tasks or parameters; it's a contradiction.
It depends.
SoTA models are at least very close to AGI when it comes to textual and still image inputs for most domains. In many domains, SoTA AI is superhuman both in time and speed. (Not wrt energy efficiency.*)
AI SoTA for video is not at AGI level, clearly.
Many people distinguish intelligence from memory. With this in mind, I think one can argue we’ve reached AGI in terms of “intelligence”; we just haven’t paired it up with enough memory yet.
* Humans have a really compelling advantage in terms of efficiency; brains need something like 20W. But AGI as a threshold has nothing directly to do with power efficiency, does it?
> One can argue that they have already achieved this.
No, because they're hugely reliant on their training data and can't really move beyond their training data. This is why you haven't seen an explosion of new LLM-aided scientific discoveries, why Suno can't write a song in a new genre (even if you explain it to Suno in detail and give it actual examples,) etc.
This should tell you something enormous about (1) their future potential and (2) how their "intelligence" is rooted in essentially baseline human communications.
Admittedly LLMs are superhuman in the performance of tasks which are, for want of a better term, "conventional" -- and which are well-represented in their training data.