https://futurism.com/the-byte/government-ai-worse-summarizing
The upshot: these AI summaries were so bad that the assessors agreed that using them could require more work down the line, because of the amount of fact-checking they require. If that’s the case, then the purported upsides of using the technology — cost-cutting and time-saving — are seriously called into question.
Continuing to look under LLM rocks of varying size and shininess in search of the solve-every-problem robot god of the future
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Stating that newer models that perform better than old models somehow implies that the newer models are completely living up to marketing hype, up to and including calling it “artificial intelligence” to begin with.
And yes, it’s a known and established issue where some people that stan for these treat printers do see them as replacements for people, not tools. There’s already an entire startup industry of “AI companions” selling that belief, so what I said isn’t as absurd as you claim it is. Besides, I said “robot god of the future” there, not “AI” waifus, but there’s certainly a connection that some true believers make between the two concepts.
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That’s too bad, because “AI” as it stands, and what is branded as “AI,” is not what it claims to be on the label. There are certainly scientific efforts underway to make rudimentary versions of that, but large language models and related technology simply isn’t it, and to believe otherwise is marketing, whether you accept it or not.
Again, you’re believing in the marketing.
https://bigthink.com/the-future/artificial-general-intelligence-true-ai/
https://time.com/collection/time100-voices/6980134/ai-llm-not-sentient/
You’re not sorry, this isn’t /r/Futurology or /r/Singularity, and the
closer to your post only makes it worse.
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Even more
and there’s so much more text to read. Here we go.
Maybe stop ignoring entire fields of research that, to this date, are still figuring out what biological brains are doing and how they are doing them instead of just nodding along to what you already want to believe from people that have blinders for anything outside of their field (computers, in this case). It’s a case of someone with a hammer seeing everything as a nail, and you buying into that.
More like tired. If you weren’t so religiously defensive about the apparent advent of whatever you’re hoping for, you’d know that I have on many occasions stated that artificial intelligence is possible and may even be achieved within current lifetimes, but reiterating and refining the currently hyped “AI” product simply isn’t it.
It’s like if people were trying to develop rocketry to achieve space travel, but you and yours were smugly stating that this particularly sharp knife will cut the heavens open, just you wait.
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What do your preparations look like?
You’ve already “respectfully” insulted me many times over because I’m not convinced that a sufficiently large language model is a 1:1 analogue to a biological brain no matter how much data (and energy, and water) goes in and how much carbon waste comes out of it.
That’s already happened, and a lot of its unmitigated momentum (and the damage it’s already causing) is because of “THIS IS AI” hype marketing, which oversells the tools. The tools are potentially useful and quite powerful, yes, but they are not general artificial intelligence in the way that’s still being researched and developed before, during, and since you bought into the “AI” marketing label for LLMs.
They are already here, they are already screwing over many people in the working class and they’re already doing massive environmental damage, and pretenses of personhood for the treat printers (or insulting living beings as “afraid” or whatever Redditisms may come) isn’t making them any more 1:1 biological-analogue sapient but it is certainly blurring actual scientific inquiry with “just like the cyberpunkerinos” wish fulfillment desires.
Hey there, I’ve got no stakes here and I don’t want to speak for anyone but I think what happened here was QuillCrestFalconer and DPRK_Chopra were simply pointing out that the technology is rapidly evolving, that it’s capabilities even just a couple years ago were way less than now, and it appears that it will continue to develop like this. So their point would be that we need to still prepare and anticipate that it may soon advance to the point where employers will be more willing to try to replace real workers with it. I don’t think they were implying that this would be a good thing, or that it would be a smart or savvy move, just that it’s a possible and maybe even a likely outcome. We’ve already seen various industries attempt to start doing that with the limited abilities of “AI” already so to me it does seem reasonable to expect them to want to do that more as it gets better. Okay, thanks for reading. 👋
Yeah, the technology is rapidly developing but I am not the only one unconvinced that just piling in more data in the exact same way as it is now is going to 1:1 match biological brains. I’m not saying it is impossible, far from it. I’m saying the current “just spend more energy and produce more carbon waste pile on the data” approach, powered by marketing, isn’t likely to produce a generalized artificial intelligence on its own.
Marketing hype being what it is and how it’s both misused and even doing a disservice to actual nascent artificial intelligence research, I reject calling the current LLM technology “AI.”
Well first, brains aren’t the only kind of intelligent biological system but they aren’t actually trying to 1 for 1 recreate the human brain, or any other brain for that matter, that’s just marketing. The generative side of LLM’s is what gets the focus in the media but it’s really not the most scientifically interesting or what will actually change that much all things considered.
These systems are absolutely fantastic at finding real patterns in chaotic systems. That’s where the potential lies.
More like trying to go to the moon with a Civil War era rocket, it is early days yet. But progress is insanely quick.
No arguments there; my issue is the marketing bullshit that wants to call them 1:1 “artificial intelligence” which is an insult and a dismissal of actual ongoing artificial intelligence research projects.
My metaphor was heavy handed, I know. Maybe I should have said it’s like trying to fire a bullet at the moon and just expecting more and more gunpowder to do the trick instead of considering a different approach using chemical propulsion.