this post was submitted on 29 Nov 2023
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Privacy
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LLMs were always a bad idea. Let's just agree to can them all and go back to a better timeline.
Model collapse is likely to kill them in the medium term future. We're rapidly reaching the point where an increasingly large majority of text on the internet, i.e. the training data of future LLMs, is itself generated by LLMs for content farms. For complicated reasons that I don't fully understand, this kind of training data poisons the model.
It's not hard to understand. People already trust the output of LLMs way too much because it sounds reasonable. On further inspection often it turns out to be bullshit. So LLMs increase the level of bullshit compared to the input data. Repeat a few times and the problem becomes more and more obvious.
Like incest for computers. Random fault goes in, multiplies and is passed down.
Photocopy of a photocopy.
Or, in more modern terms, JPEG of a JPEG.
Actually compared to most of the image generation stuff that often generate very recognizable images once you develop an eye for it the LLMs seem to have the most promise to actually become useful beyond the toy level.
I'm a programmer and use LLMs every day on my job to get faster results and save on research time. LLMs are a great tool already.
Yea i use chatgpt to help me write code for googleappscript and as long as you dont rely on it super heavily and or know how to read and fix the code, its a great tool for saving time especially when you're new to coding like me.
Back into the bottle you go, genie!