>Nobody knows how even the current generation of LLMs work
we know exactly how they work. all they do is use statistical probabilities with limited randomization to synthesize new outputs from massive samples of inputs.
essentially a machine for plagiarizing spam.
gpt, and its general approach, will never have much value other than a few limited fields, because it can never produce anything that wasn't in its original input set and it is incapable of reasoning and analysis.
the world is already drowning is junk information. gpt has very limited commercial applicability because it is the opposite of what people actually want and need, which is a way to filter and analyze the massive pile of information they already have. gpt does the opposite and creates more junk information based on an analysis free synthesis of existing junk.
Even if this would be the case (it is not; gpt already already is producing value and replacing humans outside the domain you mention), people seem to love crap, spam, lies and chewing gum. TikTok and instagram are proof we want this type of content. We want copies of stuff we already like, in small packages and easy to consume. LLMs are great in providing that content.
>TikTok and instagram are proof we want this type of content
really inspiring take here. this is like saying fentanyl is a great product because people really like it. but i think you are wrong. these apps are mostly used by children and young adults who will grow out of them and turn away from using digital experiences in general because they are addictive and harmful. that is not a good thing for the industry in the long term.
Of course it is not good for anything and in my view it should be forbidden outright, but plenty over 18 want to consume this crap and don’t grow out of it until middle aged.
But also ‘news’; people like sensationalist copy/paste news and they don’t grow out of that. Not sure how many people watch fox, but I would be surprised if most of that is not already written by AI.
we know exactly how they work. all they do is use statistical probabilities with limited randomization to synthesize new outputs from massive samples of inputs.
essentially a machine for plagiarizing spam.
gpt, and its general approach, will never have much value other than a few limited fields, because it can never produce anything that wasn't in its original input set and it is incapable of reasoning and analysis.
the world is already drowning is junk information. gpt has very limited commercial applicability because it is the opposite of what people actually want and need, which is a way to filter and analyze the massive pile of information they already have. gpt does the opposite and creates more junk information based on an analysis free synthesis of existing junk.