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> 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 wo

> 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.

bioemerl 4y ago
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.
- abm53 4y ago
  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.

bioemerl 4y ago

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.

abm53 4y ago
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.