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
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
deleted by creator
Neural networks aren’t going anywhere because they can be genuinely useful, just not to solve every problem
deleted by creator
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.
Removed by mod
Are you always this angry? Doesn’t it get exhausting?
Removed by mod
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?