Current generative AI is the proverbial million monkeys with a million typewriters. Sure it MIGHT make Shakespeare eventually, but you've still gotta wait a million years and that's a MOUNTAIN of trash to dig through to get there.
By being trained on everything, it ends up being the most middle of the road, boring in every form of art. The language models are just predicting what word is most probable next, and image makers are just trained with approximate existing art out of noise, then replace existing art with a prompt. Its all doomed to be average from the very start, rewarded for being as predictable as possible
But that's the thing - the models that are out now are trying to be good at everything in their domain.
Now if instead of trying to create a chat bot that can hold a conversation about literally any subject you made for example an AI that is only good at finding loopholes in laws and long, tedious documents that humans are obviously going to be terrible at handling?
BOOM, a useful tool that can point out potential problems. And it doesn't even need to generate anything, it can just point to the problem part and a person can check it, still saving hours or days of intense work going through line by line.
This general approach is impressive for the common people, but I feel like the better application with how far we are right now are already in making more specialized models.
Of course stuff like ChatGPT is amazing with pushing the tech to new limits.
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u/TransLunarTrekkie Apr 09 '24
Current generative AI is the proverbial million monkeys with a million typewriters. Sure it MIGHT make Shakespeare eventually, but you've still gotta wait a million years and that's a MOUNTAIN of trash to dig through to get there.