Not necessarily. Generative AI hasn’t been advancing as much as people claim, and we are getting into the “diminishing returns” phase of AI advancement. If not, we need to switch gears in our anti-AI activism
It’s all about the models and training, though. People thinking ChatGPT 3.5/4 can write their legal papers get tripped up because it confabulates (‘hallucinates’) when it isn’t thoroughly trained on a subject. If you fed every legal case for the past 150 years into a model, it would be very effective.
We don’t know it would be effective.
It would write legalese well, it would recall important cases too, but we don’t know that more data equates to being good at the task.
As an example ChatGPT 4 can’t alphabetize an arbitrary string of text.
Alphabetize the word antidisestablishmentarianism
The word “antidisestablishmentarianism” alphabetized is: “aaaaabdeehiiilmnnsstt”
It doesn’t understand the task. It mathematically cannot do this task. No amount of training can allow it to perform this task with the current LLM infrastructure.
We can’t assume it has real intelligence, we can’t assume that all tasks can be performed or internally represented, and we can’t assume that more data equals clearly better results.
That’s a matter of working on the prompt interpreter.
For what I was saying, there’s no assumption: models trained on more data and more specific data can definitely do the usual information summary tasks more accurately. This is already being used to create specialized models for legal, programming and accounting.
Yep. IMO it’ll be kinda like VR. AI will sort of plateau for awhile until they find a new approach and then the hype will kick up again. But the current approach won’t scale into true AI. It’s just fundamentally flawed.
hmm idk… the only real reason vr has playeued so hard is because of the high barrier to entry. the tech is fine, but there’s not that many good games because it’s expensive and not many own it.
I’d argue that ai will continue to see raid growth for a little while. the core technology behind LLMs may be plateauing, but the tech is just now getting out in the world. people will continue to find new and creative ways to extend its usefulness and optimize what it’s currently capable of.
basically, back to the vr example. people are gonna start making “games” for it. did one’s free, and everyone is hungry for it. I’m putting my money on human creativity for now…
I wasn’t claiming the tech was similar. But VR has had several surges in hype over the years. It’ll come to the forefront for awhile, then fade to the background again, until something else happens to bring it back to people’s attention again.
I think AI hype will die down until someone comes up with some new way to hype it, probably through a novel approach that isn’t LLM.
