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I’ve been making the comparison to the first synthesizer in 1897. It was so huge, that it took up the basement of an entire city block in NYC. It was enormous, and relatively useless but it worked…technically. But 60 years of development later, and it can be put in a suitcase and carried around.
I see data centers and AI the same way. Sure, we can technically do it, but it’s big, unwieldy, and wasteful. It clearly isn’t ready for prime time.
Go back to the drawing board, address the real problems, including regulations, and get back to us in a decade or two, when they’ve figured out how to do this properly. Because right now it’s a monstrosity that’s more of a curiosity than an useful product.
“Figure out who to do this properly” means a completely different method. What they’ve built is way, way too expensive for too little return. What they want to do may not even be possible, too little is known about the human mind to assume it is. It’s all assumptions and hubris at this point, no proof. Not everything we imagine is possible.
Still going to take massive amounts of data to train an AI.