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What parts of my software should be tested?

In this post I will briefly describe Earl, a reinforcement learning (RL) framework I wrote that enables scalable distributed training across multiple devices, and discuss some of the things I learned along the way.

In this post I describe some things I learned while working on Starflate, an implementation of Deflate decompression in C++23 that I wrote with my friend Oliver Lee.

While working on machine learning research at the Astera Institute1, I led a team that assembled a system that enabled researchers to quickly and easily run experiments that used up to a full datacenter’s worth of GPUs.

This post is written as a Jupyter notebook which you can run and edit using the link below:

You can use an account at Fidelity as a checking account, meaning you can write and deposit checks and withdraw cash from ATMs.

Kagi is a relatively new search engine.

Here I present some ideas for increasing the productivity of knowledge workers by structuring their workflows around attention and memory.

In The dangers of reproducing while old, I mentioned that pre-implantation genetic testing could be a way for older prospective parents to improve outcomes.

I had my first child when I was 36 years old, which made me want to understand the risks of having children at different ages.