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The AI technology we’re using isn’t “new” the core idea is several decades old, only minor updates since then. We’re just using more parallel processing and bigger datasets to brute force the “advances”. So, no, it’s not actually that new.
We need a big breakthrough in the technology for it to actually get anywhere. Without the breakthrough, we’re going to burst the bubble once the hype dies down.
The landmark paper that ushered in the current boom in generative AI (Attention is all you need (Vaswani et al 2017)) is less than a decade old (and attention itself as a mechanism is from 2014), so I’m not sure where you are getting the idea that the core idea is “decades” old. Unless you are taking the core idea to mean neural networks, or digital computing?
The AI technology we’re using isn’t “new” the core idea is several decades old, only minor updates since then. We’re just using more parallel processing and bigger datasets to brute force the “advances”. So, no, it’s not actually that new.
We need a big breakthrough in the technology for it to actually get anywhere. Without the breakthrough, we’re going to burst the bubble once the hype dies down.
The landmark paper that ushered in the current boom in generative AI (Attention is all you need (Vaswani et al 2017)) is less than a decade old (and attention itself as a mechanism is from 2014), so I’m not sure where you are getting the idea that the core idea is “decades” old. Unless you are taking the core idea to mean neural networks, or digital computing?