>2) So far, these tools are "better search" schemes, not actual intelligence. Sure, many find them very useful. But given this, the (voluntary or involuntary) providers of data ought to get credit/benefit for/from this phenomena, along with the tool creators. Especially giving the current situation is Microsoft/OpenAI selling to commercial software developers who sell to general public.
What they are good at is predicting what's after the text. The problem of predicting what's next could be used to create a universal artificial intelligence (there's a mathematical definition for this). I.e. if you have a system which is very good at predicting what's next, you could get to very powerful AI.
What they are good at is predicting what's after the text. The problem of predicting what's next could be used to create a universal artificial intelligence (there's a mathematical definition for this). I.e. if you have a system which is very good at predicting what's next, you could get to very powerful AI.
The intelligence of human beings isn't unspecifically good "predicting what's next" but rather is good at particular sorts of predictions in particular contexts, often involving the person having helped create the situation. I'm fairly safe at driving because I maintain an arrange of my vehicle in a fashion that allows me to predict easily what's next as well as allowing me to adjust if my predictions are wrong. Self-driving software might predict what's next as well as me in normal circumstances but it's neither aware of larger context nor does it things to maintain "smooth traffic flow".
Opposite, being able to predict anything generically would certainly be limitless intelligence but you can't describe any system with just that. Copilot is trained with a certain window, with the transforms special element giving more context but I don't think very many people doing current research expects that become generic prediction. I think I'm describing the consensus that it's a "better Google" for finding code one can use - and Google is a pretty good resource for this - if you aren't doing something unusual or difficult.
Jeff Hawking also makes "prediction is intelligence" claim but I think your and his approach misses that human intelligence is good not by being generic but doing more specific things.
What they are good at is predicting what's after the text. The problem of predicting what's next could be used to create a universal artificial intelligence (there's a mathematical definition for this). I.e. if you have a system which is very good at predicting what's next, you could get to very powerful AI.
If you are interested, you could read about it here: http://www.hutter1.net/ai/uaibook.htm