Long bovid
How dare you
I see you are quite moo’ved by this comment.
How dairy you
In fairness, my brain is reporting the exact same thing, so… it’s a tie?
No, you just failed the Turing test
It’s the same color way.
The danger isn’t that it’s smart, the danger is that it’s stupid.
There’s an idea about “autistic ai” or something where you give ai an objective like “get a person from point a to b as fast as you can” and the ai goes so fast the g force kills the person but the ai thinks it was a success because you never told it to keep the person alive.
Though I suppose that’s more human error. Something we take as a given but a machine will not.
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That’s specifically LLMs. Image recognition like OP has nothing to do with language processing. Then there’s generative AI which needs some kind of mapping between prompts and weights, but is also a completely different type of “AI”
That doesn’t mean any of these “AI” products can think, but don’t conflate LLMs and AI as being the same
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Neural networks aren’t going anywhere because they can be genuinely useful, just not to solve every problem
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You should watch actually AI safety researcher’s thoughts on this. Here’s the link. It’s partially overhyped, but huge strides have been made in this area and it shouldn’t be taken lightly. It’s best to be extra careful than ignorant.
And that somehow means we shouldn’t do OCR anymore, or image classification, or text to speech, or speech to text, or anomaly detection, or…?
Neural networks are really good at pattern recognition, e.g. finding manufacturing defects in expensive products. Why throw all of this away?
Exactly. LLMs are just a Chinese room
Your brain is also “just a Chinese room”. It’s just physic, chemistry and biology. There is no magic inside your brain. If a “Chinese room” is fast enough and can fool everyone into “believing” that it’s fluent in chinese, than the room speaks chinese.
This fails to engage with the thought experiment. The question isn’t if “the room is fluent in Chinese.” It is whether the machine learning model is actually comparable to the person in the room, executing program instructions to turn input into output without ever understanding anything about the input or output.
The same is true for your brain. Show me the neurons that are fluent in Chinese. Of course the LLM is just executing code. And if we have AGI it will also just be “executing code” but so does your brain. It’s not exactly code (but maye AGI will be analog computers, so not exactly code either) but the laws of physics dictate what your brain does. The laws of physics don’t understand Chinese, the atoms and molecules don’t understand Chinese. “Understanding Chinese” is an emergent property.
Think about it that way: Assume every person you know (execpt you) is just some form of Chinese Room … You first of all couldn’t prove that and second it wouldn’t matter at all.
We aren’t trying to establish that neurons are conscious. The thought experiment presupposes that there is a consciousness, something capable of understanding, in the room. But there is no understanding because of the circumstances of the room. This demonstrates that the appearance of understanding cannot confirm the presence of understanding. The thought experiment can’t be formulated without a prior concept of what it means for a human consciousness to understand something, so I’m not sure it makes sense to say a human mind “is a Chinese room.” Anyway, the fact that a human mind can understand anything is established by completely different lines of thought.
The problem here is that intelligence is a beetle
How can you know the system has no cognitive capability ? We haven’t solved the problem for our own minds, we have no definition of what consciousness is. For all we know we might be a multimodal LLM ourselves.
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Language processing is a cognitive capability. You’re just saying it’s not AI because it isn’t as smart as HAL 9000 and Cortana. You’re getting your understanding of computer science from movies and video games.
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It’s called the AI alignment problem, it’s fascinating, if you want to dig deeper in the subject I highly recommend ‘Robert miles AI safety’ channel on YouTube
Computers do what people tell them to do, not what people want.
I read about a military AI that would put its objectives before anything else (like casualties) and do things like select nuclear strikes for all missions that involved destruction of targets. So they adjusted it to allow a human operator to veto strategies, in the simulation this was done via a communications tower. The AI apparently figured out that it could pick the strategy it wanted without veto if it just destroyed the communications tower before it made that selection.
Though take it with a grain of salt because the military denied the story was accurate. Which could mean it wasn’t true or it could mean they didn’t want the public to believe it was true. Though it does sound a bit too human-like for it to pass my sniff test (an AI wouldn’t really care that its strategies get vetoed), but it’s an amusing anecdote.
The military: it didn’t destroy the tower, it jammed the comms!
ai thinks
AI’s are Mathematic’s calculations. If you ordered that execution, are you responsible for the death? It happened because you didn’t write instructions well enough; test check against that which doesn’t throw life on the scale; or maybe that’s just the cheeky excuse to be used when people start dying before enough haven’t done so that no one is left A.S. may do it, if your lucky. Doesn’t matter. It’ll just bump over from any of its thousand T-ultiverses.
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Or more precise: The danger is that people think it’s smart
Can anyone prove it’s NOT an extra-long cow?
Not based solely on the evidence presented, no.
"we’ll never have to worry about those ‘cars’, that model-t can barely hit 20mph! "
They will be flying and self driving by the year 2000.
You forgot a maxlength_cow clause after AI was done. Not exactly AI’s fault.
I mean where else do you think hot dogs come from?
Anyone’s tiny fucking wiener.
So, does it have a long body or a long neck?
Maybe it’s like a centipede. Centicow.
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Yes
I was doing fine, seeing two cows, right up until I read your comment, and now I see it as some sort of weird giraffe like creature with short legs and a surprising ability to balance even with its neck stretched out that far.
I was doing fine, seeing two cows, right up until I read your comment, and now I see it as some sort of weird giraffe like creature with short legs and a surprising ability to balance even with its neck stretched out that far.
Two cows and two comments or one cow and one comment. Does the content of the comment being the same make it the same comment or does their different storage location and display make them two comments? The digital ship of theseus.
It’s obviously just a glitch in the matrix, and you may be the chosen one for noticing.
I got a 504 server error the first time I posted, but apparently it worked anyway.
MooooooooooooooooooOOOOh
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cyriak data was used to train it
Damn that’s a name I haven’t heard in a minute. Good times.
Edit: it’s still good. https://www.youtube.com/watch?v=FavUpD_IjVY
There might be 2 cows behind, but there might be also 1000 amalgamated cows
Long cow is coming. Look busy.
Long cow is long
Actually AI wouldn’t even recognize either of those as a cow let alone one long, unless it was specifically trained to look for cow’s head or ass.
It is because AI is dumb and putting way too much trust in it that it will kill us.
