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4min chapter
Dr. Lex Fridman: Machines, Creativity & Love
Huberman Lab
Machine Learning and Reinforcement Learning
You could actually do with humans. So you're evolvingor the machine gets to evolve itself in real time. Andihik of it, which would be exciting. But for any anything you want machine learning to solve, there needs to be an objective function. And machine learning is usually called lost function that you're optimizing. The interesting thing about evolution, complicated, of course, but the goal also seems to be evolving like it's a, i guess adaptation to the environment is the goal, but it's unclear you can convert that always. It's a like survival of the fittest its ownd clear what the fittest is. That's one of the challenges of artificial intelligences.
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