This reads the same as "what did you expect of full self driving? Of course there are technical limitations." A lot of people have an expectation that AI is "smart" based on popular culture, relatively very few realize what we have currently is word prediction not intelligence of some sort
> relatively very few realize what we have currently is word prediction not intelligence of some sort
Honestly this impresses me most. The fact that we have word prediction and it can still be very useful (in my experience). You're right people don't understand it; hell i don't either, fully. Nevertheless it is shockingly useful for being nothing more than an autocomplete over existing information.. in my view.
Even if all we could add to the service is the ability to cite sources of information - ie to validate for ourselves statements more easily - then i think it would be a huge leap in interfaces.
Being able to put a chat interface over content seems wholly unique to me. I'd love to explore the depth of complex inputs like the entire LOTR series as a chat. To discuss, learn, and grow on existing content. I don't care about intelligence; i just want the ability to mitigate confidently-incorrect. If that's even possible.
That's because these things are way more than word prediction.
Their job is 100 percent to predict the next word, but saying that hides what you have to do in order to predict the next word
In a factual database? You have to repeat facts.
In a logical database? You have to learn logic.
In a database containing only good chess moves? You have to learn to make good chess moves.
Train any AI model in a strong enough way and it will pick up donation knowledge along the way. Yes, it's predicting words, but it's using that knowledge to do it.
It's by no means perfect, but do not underestimate the potential here, and remember that reductive definitions (it's just x) can make most great things seem bad or mundane.
Right, it’s (very roughly speaking) an approximation to an algorithm which maximises the probability of the entire response by factorising the distribution as a sequence of conditional distributions.
If the approximation works, and the training data is coherent, it will produce coherent responses.
The surprising thing to me is that this does work so much of the time.
Self driving cars are supposed to drive themselves. That's their entire goal.
LLMs are not supposed to answer knowledge questions. They are not knowledge bases. The fact that everybody, including their developers insist on using them that way is just absurd. Are we in a Kafka novel?
That's the equivalent to complaining that the self driving cars you rented didn't deploy your marketing message effectively, so their AI must be bonkers.
I'm not saying its not impressive or doesn't contain logic and facts and knowledge, i'm saying people generally understand the word intelligence to mean one thing, and this doesn't meet that understanding.
