Ask HN: Is anyone working on AGI on the side?
I was wondering if anyone was working on AGI (artificial general intelligence) on the side and what approaches people are taking.
I know there a few companies working on this. Are there any lone souls also trying to crack this nut?
6 comments
[ 4.9 ms ] story [ 13.0 ms ] threadA lot of my own thinking mirrors some similar ideas. That is to say, the idea that some older AI approaches that "didn't work" Back In The Day may more accurately be said to have worked, but "didn't scale." Given the massive advances in hardware, computing architectures, parallel computing, etc. since then, I think there may be some value in revisiting some of this stuff and examining it under a more modern light.
John C and Elon M have intuitions and brainscar tissue I respect as much as the CEO of DeepMind.
Radio deep knowhow is being lost with the passing of time. What people have thought about "memory" could be the same for A.I.
ChatGPT was a warning shot for me. Right now, I am [taking a break from] working on fine-tuning davinci.
Chat bot training patterns really clicked for me. I can now see how I can shard out the task of prompt/completion building to the rest of the team, and then maintain a library of tunes & models that are refreshed on some regular basis.
AGI is going to be a completely different ball game. One step at a time for me.
That said, I've written a modest amount about my AI interests here on HN in the past. Feel free to trawl through my comment history[1] if you're curious. The most salient post I made was probably this one:
https://news.ycombinator.com/item?id=32868680
Going forward I'll be posting AI related thoughts at a couple of places:
Follow along if you'd like. Note that I am not making any claim to be any kind of genius AI researcher, and I don't have any "magic sauce" per-se. I do have some fairly specific ideas about angles to pursue and lines of research, all of which might eventually lead to something, or it could all be absolutely useless. But I will say that what I'm doing is (mostly) at least rooted in / based on somewhat established ideas / principles taken from ML, earlier AI research, cognitive science, neuroscience, etc. I might be effectively a crackpot in the end, but I'd like to think that I'm not just a crackpot. :-) I'm just somebody who is more comfortable working independently and doing things my own way, than working in formal academia. But I don't ignore mainstream research at all.[1]: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...