this post was submitted on 06 Sep 2024
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[–] [email protected] 11 points 1 week ago (27 children)

It's like the least popular opinion I have here on Lemmy, but I assure you, this is the begining.

Yes, we'll see a dotcom style bust. But it's not like the world today wasn't literally invented in that time. Do you remember where image generation was 3 years ago? It was a complete joke compared to a year ago, and today, fuck no one here would know.

When code generation goes through that same cycle, you can put out an idea in plain language, and get back code that just "does" it.

I have no idea what that means for the future of my humanity.

[–] [email protected] 28 points 1 week ago (24 children)

you can put out an idea in plain language, and get back code that just “does” it

No you can't. Simplifying it grossly:

They can't do the most low-level, dumbest detail, splitting hairs, "there's no spoon", "this is just correct no matter how much you blabber in the opposite direction, this is just wrong no matter how much you blabber to support it" kind of solutions.

And that happens to be main requirement that makes a task worth software developer's time.

We need software developers to write computer programs, because "a general idea" even in a formalized language is not sufficient, you need to address details of actual reality. That is the bottleneck.

That technology widens the passage in the places which were not the bottleneck in the first place.

[–] [email protected] 1 points 1 week ago (19 children)

I think you live in a nonsense world. I literally use it everyday and yes, sometimes it's shit and it's bad at anything that even requires a modicum of creativity. But 90% of shit doesn't require a modicum of creativity. And my point isn't about where we're at, it's about how far the same tech progressed on another domain adjacent task in three years.

Lemmy has a "dismiss AI" fetish and does so at its own peril.

[–] [email protected] 10 points 1 week ago (2 children)

And my point isn’t about where we’re at, it’s about how far the same tech progressed on another domain adjacent task in three years.

First off, are you extrapolating the middle part of the sigmoid thinking it's an exponential. Secondly, https://link.springer.com/content/pdf/10.1007/s11633-017-1093-8.pdf

[–] [email protected] 3 points 1 week ago* (last edited 1 week ago)

I've written something vague in another place in this thread which seemed a good enough argument. But I didn't expect that someone is going to link a literal scientific publication in the same very direction. Thank you, sometimes arguing in the Web is not a waste of time.

EDIT: Have finished reading it. Started thinking it was the same argument, in the middle got confused, in the end realized that yes, it's the same argument, but explained well by a smarter person. A very cool article, and fully understandable for a random Lemming at that.

[–] [email protected] -4 points 1 week ago (1 children)

Dismiss at your own peril is my mantra on this. I work primarily in machine vision and the things that people were writing on as impossible or "unique to humans" in the 90s and 2000s ended up falling rapidly, and that generation of opinion pieces are now safely stored in the round bin.

The same was true of agents for games like go and chess and dota. And now the same has been demonstrated to be coming true for languages.

And maybe that paper built in the right caveats about "human intelligence". But that isn't to say human intelligence can't be surpassed by something distinctly inhuman.

The real issue is that previously there wasn't a use case with enough viability to warrant the explosion of interest we've seen like with transformers.

But transformers are like, legit wild. It's bigger than UNETs. It's way bigger than ltsm.

So dismiss at your own peril.

[–] [email protected] 5 points 1 week ago (1 children)

But that isn’t to say human intelligence can’t be surpassed by something distinctly inhuman.

Tell me you haven't read the paper without telling me you haven't read the paper. The paper is about T2 vs. T3 systems, humans are just an example.

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