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Shane Wighton explains machine learning


The shortest and easiest introduction to smortnets I have encountered so far. From Shane Wighton. Timestamp relevant: starts around 10m38s.

If you want to extend this to models like ChatGPT, imagine that:
* The robot looks not at the end of the last stroke, but at 1000 previous strokes.
* There is 150 billion knobs.
* The training set included not hundreds examples, but something on the scale closer to everything humanity ever produced.
* It was fine-tuned to make results look as deceiving to humans as possible, not merely be similar to the learning set.


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