this post was submitted on 22 Apr 2024
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Yeah, I was mostly talking about the kinds that appeared in the hype wave in the last few years. Those are not just LLMs though, also generative AI for images and videos and image recognition / classification among others.
If you think Compiter Vision research has used up it's limited uses then I can't even begin to understand where you're coming from.
Natural language processing even more so, there endless big uses we're going to see - its like looking at bells telephone and saying 'well the 6 people in town who like to chat have one so it'll probably fizzle out' or 'this train is impressive Mr Stevenson but you're delivering coal there's nothing else we need trains for'
Computer vision is one of those areas that promised the world but failed to deliver on many of its promises. I am not saying it won't be useful in a couple of decades for more complex scenarios than what we already have (e.g. given an image of a face recognize if it is the same face or find the rectangle in this image kind of tasks) but this whole "it will revolutionize everything in the next 5 years" nonsense is clearly wrong. Self-driving cars are one of the main fields that shows that computer vision still has severe limits.
And natural language processing is even more broken. Again, I am not saying it wouldn't be useful if it worked, I am saying it doesn't work nearly as well as people claim it does and it is not improving as quickly either.
I am not doubting the potential of the working technology, I am doubting that it works. Big difference compared to your historic example.