alt Hacker News> He was wrong that AGI was "now simply an engineering problem".
> He was wrong that the path to AGI was "basically clear".
Why do you say that?
For context, Jensen Huang says:
> "For many tasks, we could say that we’ve already achieved AGI... I think of all of those milestones…they’re kind of senseless at this point.[1]
Even if you disagree with that, Altman's statement seems more about the idea that "more data + more compute + transformer based neural networks" will get us to something called AGI.
I think that statement is true. I guess you don't.
> if you want to play definition games and start waving your hands around and accept the claim "oh well actually we don't really know how to define AGI now", then he was wrong to claim that the path to AGI was "basically clear"!
No - because I think his and Jenson's definition means we have achieved AGI.
So it goes back to my point: this isn't falsifiable.
[1] https://mashable.com/tech/nvidia-ceo-jensen-huang-says-agi-a...
> Why do you say that?
Because he was wrong. That's how it works.
> For context, Jensen Huang says:
>> "For many tasks, we could say that we’ve already achieved AGI... I think of all of those milestones…they’re kind of senseless at this point.[1]
This statement is nonsense. It's Artificial General Intelligence that was promised. Not Artificial Some Things Intelligence.
> Even if you disagree with that, Altman's statement seems more about the idea that "more data + more compute + transformer based neural networks" will get us to something called AGI.
His statement was wrong. I don't care what other ideas you want to read into it, he was incorrect about AGI arriving in 2025. That's all there is to it. Twist it into a knot and smear butter on it if you want, wrong is wrong.
> No - because I think his and Jenson's definition means we have achieved AGI
Yeah they can twist definitions all they want. I don't really care. We have seen that LLMs and transformers have not delivered AGI, and they certainly didn't deliver it in 2025.