Join 📚 Josh Beckman's Highlights

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Another lesson is that, when junior investment bankers work all night formatting pitchbooks, that work is almost certainly wasted, and the deals are being won on the golf course. Friends do not exchange pitchbooks with each other.

Money Stuff: SEC Comes for Gemini Too Late

Matt Levine

What we call history is, in practice, what we can bear to think about. (What we call unexpected is, often enough, what we didn't want to think about.)

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The way double descent is normally presented, increasing the number of model parameters can make performance worse before it gets better. But there is another even more shocking phenomenon called *data double descent*, where increasing the number of *training samples* can cause performance to get worse before it gets better. These two phenomena are essentially mirror images of each other. That’s because the explosion in test error depends on the ratio of parameters to training samples.

Double Descent in Human Learning

chris-said.io

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