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
It’s all garbage and I consider all of it to be a fad and I just can’t wait until the world wakes up and realizes what utter crap it is and it just goes away.
It’s crap, too many people believe the hype, they see TV shows and movies with total fantasy AI in it, they think this crapware is like that, they think there’s someone alive in that box, they’ll come to trust it too much, and they’ll get wrecked because of that. THAT is the real danger of this garbage.
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.
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
It’s all garbage and I consider all of it to be a fad and I just can’t wait until the world wakes up and realizes what utter crap it is and it just goes away.
Neural networks aren’t going anywhere because they can be genuinely useful, just not to solve every problem
It’s crap, too many people believe the hype, they see TV shows and movies with total fantasy AI in it, they think this crapware is like that, they think there’s someone alive in that box, they’ll come to trust it too much, and they’ll get wrecked because of that. THAT is the real danger of this garbage.
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?
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.
Here is an alternative Piped link(s):
Here’s the link
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source; check me out at GitHub.
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Are you always this angry? Doesn’t it get exhausting?
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