Comment by benjaminl
1 day ago
This issue here is that people have different definitions of AGI. From the description. Getting 100% on this benchmark would be more than AGI and would qualify for ASI (Algorithmic Super Intelligence) not just AGI.
1 day ago
This issue here is that people have different definitions of AGI. From the description. Getting 100% on this benchmark would be more than AGI and would qualify for ASI (Algorithmic Super Intelligence) not just AGI.
If you only outdo humans 50% of the time you're never going to get consensus on if you've qualified. Whereas outdoing 90% of humans on 90% of all the most difficult tasks we could come up with is going to be difficult to argue against.
This benchmark is only one such task. After this one there's still the rest of that 90% to go.
Beating humans isn't anywhere near sufficient to qualify as ASI. That's an entirely different league with criteria that are even more vague.
Even dumb humans are considered to have general intelligence. If the bar is having to outdo the median human, then 50% of humans don't have general intelligence.
Not true. We don't have a good definition for intelligence - it's very much an I'll know it when I see it sort of thing.
Frontier models are reliably providing high undergraduate to low graduate level customized explanations of highly technical topics at this point. Yet I regularly catch them making errors that a human never would and which betray a fatal lack of any sort of mental model. What are we supposed to make of that?
It's an exceedingly weird situation we find ourselves in. These models can provide useful assistance to literal mathematicians yet simultaneously show clear evidence of lacking some sort of reasoning the details of which I find difficult to articulate. They also can't learn on the job whatsoever. Is that intelligence? Probably. But is it general? I don't think so, at least not in the sense that "AGI" implies to me.
Once humanity runs out of examples that reliably trip them up I'll agree that they're "general" to the same extent that humans are regardless of if we've figured out the secrets behind things such as cohesive world models, self awareness, active learning during operation, and theory of mind.
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I’d be hesitant to call that ASI if it’s pretty obvious how you’d write a regular old program to solve it.
It’s not that simple since each problem is supposed to be distinct and different enough that no single program can solve multiple of them properly. No problem spec is provided as well iiuc so you can’t simply ask an LLM to generate code without doing other things.
A human can sit down to play a game with unknown rules and write a spec as he goes. If a model can't even figure out to attempt that, let alone succeed at it, then it most certainly isn't an example of "general" intelligence.
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It's not obvious at all. And I would say pretty much impossible without using machine learning. Even for ARC-AGI-1 there is no GOFAI program that scores high.
People are still debating whether these models exhibit any kind of intelligence and any kind of thinking. Setting the bar higher then necessary is welcome, but at this point I’m pretty sure everyone’s opinions are set in stone.
There's a single true definition of AGI, open the page about AGI on Wikipedia but using archive.org on a snapshot from 10 years ago.
All the rest is bullshit made up by LLM labs to make it seem like they hit AGI by dumbing down its definition.
https://web.archive.org/web/20150108000749/https://en.wikipe...
In retrospect, it seems obvious that we hit AGI by a reasonable "at least as intelligent as some humans" definition when o3 came out, and everything since then has been goalpost moving by people who have higher and higher bars for which percentile human they would be willing to employ (or consider intellectually capable). People should really just use the term "ASI" when their definition of AGI excludes the majority of humans.
Edit: Here's the guy who coined the term saying we're already there. Everything else is arguing over definitions.
https://x.com/mgubrud/status/2036262415634153624
> Well, Lars, I INVENTED THE TERM and I say we have achieved AGI. Current models perform at roughly high-human level in command of language and general knowledge, but work thousands of times faster than us. Still some major deficiencies remain but they're falling fast.