Broadfern 73 points 11 hours ago

Except “heuristics” reveals that it’s a fuzzy, inaccurate shortcut machine and liable to significant problems if you treat its output as undisputed fact. And that means less profits for the boardroom stockholders :(((

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Zephyr 9 points 10 hours ago

Lol this applies to neurons like too well.

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Broadfern 10 points 10 hours ago

It’s also a psychology term to refer to how we make fast and inaccurate assumptions to more quickly process the world around us, so yes v much so lol

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yucandu 4 points 7 hours ago

I wonder if this is what machine language programmers used to say to people who used C compilers.

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pinball_wizard 7 points 3 hours ago

There was some of this, but at the end of the day, the C compilers are deterministic, while (hype wave) AI is not.

Now, I don't expect any of these new kids using C compilers to understand enough about computer science theory to know what "deterministic" means, of course. (this is sarcasm - computer science is still taught, thankfully)

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Blue_Morpho 30 points 11 hours ago

In 10 years the new AI will come out and current AI will be just LLM. People will scoff at the idea that you'd refer to LLM as AI.

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WhoIzDisIz 18 points 10 hours ago

NGL, that day scares TF outta me. You know the new AI is gonna be under the control of someone who really shouldn't have it.

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pinball_wizard 3 points 3 hours ago

Hopeful Counterpoint: The big money tech bros are so high on their own supply that they will waste massive amounts of potential progress on real AI using their LLM toys.

So there's a decent chance that real researchers get there first and open source their solutions.

Of course, in the end, it'll still be rich tech bros who connect whatever they're calling AI today to a set of wheels and a gattling gun, and send it into work life balance negotiations. (Because assholes are still going to asshole.)

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ChicoSuave 3 points 7 hours ago

It always will

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ramble81 10 points 10 hours ago

I’ve been seeing this go on since the 80s…. Algorithms, Heuristics, Machine Learning… the number of times I see it in games too for CPU characters.

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red_tomato 5 points 9 hours ago

That’s because AI is a moving target. It’s kind of the boundary between ”tasks which can be automated by computers” and ”tasks which humans are still only able to do”

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officermike 2 points 10 hours ago

This reminds me about the super-advanced fish AI from Call of Duty.

https://youtu.be/TMYso30L9zI?is=HEZP1M4zsg1HjqHe

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Zephyr 9 points 10 hours ago

It's kinda crazy how far we've come and how normal it seems to everyone. I remember in like 2016 playing around with neural nets as like a fun coding project. If you asked anyone then most thought even our current level of AI capability wouldn't be until like the later half of this century at best. If you just picked up a random open source model now and transported it then most people would think it was legit just a person on the other side texting you back, either that or they would have their absolute socks blown off in amazement.

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Hamartia 5 points 9 hours ago

wouldn't be until like the later half of this century at best.

I wonder if it would have accelerated so fast of it wasn't so applicable to the intelligence services in mass surveillance and target acquisition

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Zephyr 3 points 9 hours ago

That's all new. The moment I knew we were all fucked was when I first played with chatGPT 3 near the end of 2020. I was trying to tell people then. Shit, even now but the vast majority just see AI as a stupid useless toy poisoning their FYP with junk content. The vast majority of people still seem totally unaware of what's going on.

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schipelblorp 3 points 5 hours ago

I think the real threat of AI is not that it's getting smarter, but that it's demonstrably making us dumber. Who is going to be creating the training data of the future?

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Zephyr 1 point 4 hours ago

I think you just answered your own question. In the scenario of ASI, who is training an AI smarter than an AI that's already smarter than us? Also I don't suspect AI will continue to be as inefficient as it is today in training or inference. A good example are voice clones that went from needing hours of audio to just 30 seconds of training data. On top of that synthetic data has been more than useful, aka data created by an AI to train another. One of my earliest projects was for a client who couldn't give us any data to work on but gave us a breakdown of what the data was like so we just lorem ipsumed our way there to a model that could actually find their false negatives and false positives in their testing.

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yucandu 2 points 7 hours ago

I was in high school in 2007, and I pissed off most of my computer science class by saying that in 20 years, programming won't be a job anymore, because our bosses will just be able to tell a computer what they want it to do with plain english language.

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Zephyr 2 points 7 hours ago

You were ahead of me, I still thought it was far fetched until I played with chatGPT 3 at the end of 2020. NN were still mostly shit and training them was shit but the transformer was the big breakthrough. There was gold in them there hills and I knew it was only a matter of time until everyone and their grandma was in the gold rush.

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Zerush 6 points 8 hours ago

It's needed to difference between AI, which exist since the first chess computer, specific AI used in science, medicine and industry since many years and biased ChatBots (Mecha Hitler) and LLM by big corps. They are not the same, less if the last ones are used without criteria and knowledge by lazy users.

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mrmaplebar 5 points 10 hours ago

"Biasing" doesn't sell shares like "machine learning" does.

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kraxla -3 points 4 hours ago

Yes the past is not coming back.

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