alt Hacker NewsThis is wild: OpenAI is basically declaring that AGI is here.
https://www.theverge.com/ai-artificial-intelligence/989601/o...
“If we fast-forward a couple of years, and we look back and say, ‘When was it, really, that AGI was created?’ I think it’s going to be about this time, and I think it might be about this model,” OpenAI president Greg Brockman said during a Thursday press briefing. Later in the call, he added, “For me personally, I do think we’re there … I think it’s not unreasonable to feel that we are now in the AGI era.”
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Remember when the term "AGI" meant something? Pepperidge farm remembers
Find me someone who isn't paid by OpenAI who is saying the same
Wasn't that part of their contract with Microsoft? Some clause stopped biting with the arrival of AGI
"OpenAI executive hypes up new model"
Don't get me wrong, the benchmark jumps are good and I'm excited to try it, but only one or two of the benchmark jumps could be described as better than incremental.
Why does he say what he feels? Is that how leading figures in the space define AGI - a gut feeling? What are the usual definitions and how can we test for it? Is there something like a Turing test for AGI?
Don't worry, they'll come up with a new acronym to mean really-real AI soon...
I hate the term "AGI" but IMO Fable, 5.6 Sol, et al. were already AGI.
I think it's more wild people have been denying that AGI has been here for a while honestly...
Today's models and agents are not quite at human-level in all contexts and across all domains, but it seems to me they very clearly are generally intelligent.
If you disagree – can you name a single problem that a human can do that agent wouldn't be able to take a decent shot at which isn't limited by the hardware available it?
Renown liar Altman releasing a PR statement for his product declaring that AGI is here is really not noteworthy.
Sam Altman himself has said it is not AGI unless it can discover novel physics.
https://x.com/burny_tech/status/1725233117055553938
In the tweet Sam Altman is quoted as saying: "If (for example) super intelligence can't discover novel physics I don't think it's a superintelligence. And teaching it to clone the behavior of humans and human text - I don't think that's going to get there. And so there's this question which has been debated in the field for a long time: what do we have to do in addition to a language model to make a system that can go discover new physics?"
I think this is a reasonable criteria for declaring AGI. So can GPT-6 do it? OpenAI says it has helped solve long-standing open problems in mathematics. No word on novel physics.
I almost feel like I need just as much healthy skepticism toward hn comments that have the automatic reflex of dismissing performance gains, as much as I need a similar form of skepticism toward AI claims. It feels like (from what I'm understanding) the harnessed result on ARC-AGI-3 is not exactly playing by the normal rules that would tell us how much of a leap this really is. Nothing wrong with harnesses, but if there's one thing they aren't, it's an indicator of generality in performance gains.
So I think it's a bit of a misleading signal and we should wait for more independent vetting. I think the middle ground is that these are improvements worthy of the "GPT-6" label but still well short of a true "this is AGI moment" that would truly put the question to rest.