this post was submitted on 10 Jul 2023
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This is 100% true. LLMs, neural networks, markov chains, gradient descent, etc. etc. on down the line is nothing particularly new. They've collectively been studied academically for 30+ years. It's only recently that we've been able to throw huge amounts of data, computing capacity, and time to tweak said models to achieve results unthinkable 10-ish years ago.
There have been efficiencies, breakthroughs, tweaks, and changes over this time too, but that's just to be expected. But largely its just sheer raw size/scale that's just been achievable recently.
We all remember SmarterChild....right?
No, I have clearly forgotten: What was that?
https://www.vice.com/en/article/jpgpey/a-history-of-smarterchild