📚 Josh Beckman's Highlights

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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

Unlike simple machines, which cannot be copyrighted, software is automatically copyrighted by the creator and when it is licensed, the licensee cannot continue to use the software without obeying the terms of the license agreement. This allows for a flourishing software licensing market that works exactly as intended, no patents necessary.

Why Software Patents Are Bad, Period.

Why Software Patents are Bad, Period.

In most places, the olive harvest is mechanized, but that’s only possible because olive groves have been replanted to fit the shape of the harvesting machines. A grove planted for machine harvesting [looks nothing like](https://fat.gold/guide/#growing-olives) a grove planted for human harvesting.

A Year of New Avenues

Robin Sloan

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