Jagged AGI: o3, Gemini 2.5, and everything after

The capabilities of AI post gpt3 have become extraordinary and clearly in many cases superhuman.

However (as the article admits) there is still no general agreement of what AGI is, or how we (or even if we can) get there from here.

What there is is a growing and often naïve excitement that anticipates it as coming into view, and unfortunately that will be accompanied by the hype-merchants desperate to be first to "call it".

This article seems reasonable in some ways but unfortunately falls into the latter category with its title and sloganeering.

"AGI" in the title of any article should be seen as a cautionary flag. On HN - if anywhere - we need to be on the alert for this.

I suspect AGI will be one of those things that you can't describe it exactly, but you'll know it when you see it.

> but you'll know it when you see it.

I agree, but with the caveat that it's getting harder and harder with all the hype / doom cycles and all the goalpost moving that's happening in this space.

IMO if you took gemini2.5 / claude / o3 and showed it to people from ten / twenty years ago, they'd say that it is unmistakably AGI.

> IMO if you took gemini2.5 / claude / o3 and showed it to people from ten / twenty years ago, they'd say that it is unmistakably AGI.

No they wouldn't, since those still can't replace human white collar workers even at many very basic tasks.

Once AGI is here most white collar jobs are gone, you'd only need to hire geniuses at most.

Which part of "General Intelligence" requires replacing white collar workers? A middle schooler has general intelligence (they know about and can do a lot of things across a lot of different areas) but they likely can't replace white collar workers either. IMO GPT-3 was AGI, just a pretty crappy one.

> A middle schooler has general intelligence (they know about and can do a lot of things across a lot of different areas) but they likely can't replace white collar workers either.

Middle schoolers replace white collars workers all the time, it takes 10 years for them to do it but they can do it.

No current model can do the same since they aren't able to learn over time like a middle schooler.

Compared to someone who graduated middle school on November 30th, 2022 (2.5 years ago, would you say that today's gemini 2.5 pro has NOT gained intelligence faster?

I mean, if you're a CEO or middle manager and you have the choice of hiring this middle schooler for general office work, or today's gemini-2.5-pro, are you 100% saying the ex-middle-schooler is definitely going to give you best bang for your buck?

Assuming you can either pay them $100k a year, or spend the $100k on gemini inference.

> would you say that today's gemini 2.5 pro has NOT gained intelligence faster?

Gemini 2.5 pro the model has not gained any intelligence since it is a static model.

New models are not the models learning, it is humans creating new models. The models trained has access to all the same material and knowledge a middle schooler has as they go on to learn how to do a job, yet they fail to learn the job while the kid succeeds.

> Gemini 2.5 pro the model has not gained any intelligence since it is a static model.

Aren't all the people interacting with it on aistudio helping the next Gemini model learn though?

Sure, the results of that wont be available until the next model is released, but it seems to me that human interaction/feedback is actually a vital part of LLM training.