2019

July

Worked through an Introduction to Statistical Learning, revised linear algebra and probability

August

Started work on a lightweight Python Deep Learning library. Implemented double dueling DQN. Participated in AI safety workshop, and unconference

September

Worked on World Models, read papers

October

Implemented Style Transfer, Deep Dream, Pix2Pix, read papers

November

Went through the Stanford CS224n class content, worked on Seq2Seq and Transformers

December

Looked into the Lottery Ticket Hypothesis, implemented various algorithms, read papers

2020

January

Created personal blog, wrote post

February

Published post, read books, binge-listened to econ-talk, wrote some more

March

Reading, COVID19...

April

Wrote blog posts, reading

June

Writing, studying topics in economics, education, international relations…

August

Readings (1,2)

Oct - Nov

Studied Kenneth Stanley’s work on Neuroevolution, Open-Endedness, NEAT…

December

away

2021

March

Studied cryptoeconomics/governance, the nature of money (The Dao of Capital, The Sovereign Individual, The Bitcoin Standard, Radical Markets, Ray Dalio's Big Debt Crises...)

May

Went through the major AI texts (Kurzweil, Bostrom, Tegmark, Christian, Russell, The Sequences) started reading AI Safety Forum

July

Studied history and political philosophy, the origins and triumph of liberalism and our international order.

September

Writing, more research

October

Studying the AI governance literature

November

away

2022

March-April

Political philosophy/AI readings (Zuboff, Bastani, Schwab, Nozick…)

LeetCode practice

May

Went to EAGx Prague