Writing
I post my own notes, as well as implementations of some fun ideas. There are two reasons I write here: I believe the manner in which knowledge is presented in academia should be far more accessible (justified nicely in this Distill post by Chris Olah and Shan Carter), and that there is some merit in keeping an iterative record of my learning.
There is also an excellent post by Rachel Thomas on why this might be a useful thing to do in academia.
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15 July 2026
notes on computational constraints, inductive biases, and metareasoning
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01 July 2026
notes on bellman equations, and markov decision processes
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24 June 2026
notes on machine learning, self-supervised learning and reinforcement learning
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16 June 2026
notes on optimization, gradients and generalization
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10 June 2026
notes on neural networks
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1 June 2026
an introduction to computational cognitive science