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jongjong11/04/20251 replyview on HN

Based on my personal experience, I feel like we've already had AGI for some time. Just based on how centralized society has become. It feels like the system is not working for the vast majority of people, yet somehow it's still holding together in spite of enormous complexity... It FEELS like there is some advanced intelligence holding things together. Some aspects of the system's functioning seems too clever to be the result of human intelligence.

Also, in retrospect, something doesn't quite add up about the 'AI winter' narrative. It's hard to believe that so many people were studying and working on AI and it took so long given that ultimately, attention is all you need(ed).

I studied AI at university in Australia over a decade ago, did the introductory course which was great; we learned about decision trees, Bayesian probability and machine learning; we wrote our own ANNs from scratch. then I took on the advanced course, expecting to be blown away by the material, but the whole course was about mathematics, no AI theory; even back then there was a lot of advanced material which they could have covered (e.g. evolutionary computation) but didn't... I dropped out after a week or two because of how boring it was.

In retrospect, I feel like the course was made boring and irrelevant on purpose. I remember I even heard someone in my entourage mention that AI winter is not real... While we were supposedly in the middle of it.

Also, I remember thinking at the time that evolutionary computation combined with ANNs was going to be the future... So I was kind of surprised how evolutionary computation seemingly disappeared out of view... In retrospect though, I think to myself; progress in that area could potentially lead to unpredictable and dangerous outcomes so it may not be discussed openly.

Now I think; take an evolutionary algorithm and combine it with modern neural nets with attention mechanisms and you'd surely get some impressive results.


Replies

mateo41111/04/2025

I think the AI winter was over by 2007. There was a lot of hype about machine learning and big data. The Netflix Prize for building a Recommender model launched in 2006. There was research on neural networks and deep belief networks, but they weren't as popular as they are today.

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