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> Take the perspective of one of these things. You think 100 times faster than a person. That means that if it takes 30 seconds for a user to respond or to give you your next instruction, you are waiting 3000 seconds in your loop. For 50 minutes.

These things don't have a "perspective". They simply guess based on a lot of statistics from a large language data source what they should say next. They are not going to strategize, when they start improving their code they are not going to have an overall objective in mind, and the more they use their own output for training the more likely that things will go off the rails.

They will be useful, as we've already seen, but if you're looking to create real AI this is not the path to take. We'd be better off resurrecting semantic nets, working on building a database of concepts gleaned from parsing text from the internet into it's underlying concepts, and working on figuring out volition.




> create real AI

nobody knows what or how intelligence is actually "implemented" in humans.

There's no need to know how the innards of these large models _actually_ work, if their behaviour is consistent with intelligence.




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