Readings

• The machine of speculative knowledge (Jonathan Swift, 1726)
• Vox populi and vox expertorum (Francis Galton & F. H. Perry-Coste, 1907)
• The function of the machine (George Orwell, 1937)
• Bayesian inference for the applied statistician (Donald Rubin, 1984)
• What a scientific theory is (Stephen Hawking, 1988)
• A brief history of statistical learning (Gareth James et al., 2013)
• Why MIT stopped teaching SICP (Yarden Katz et al., 2016)
• Discussion of Software 2.0 (Andrej Karpathy & Dogan Ulus, 2017)
• The limitations of deep learning, and its future (Francois Chollet, 2017)
• The bitter lesson (Richard Sutton, 2019)
• Executive order on artificial intelligence (Joe Biden, 2023)

Advices & Guidelines

• You and your research (Richard Hamming, 1986)
• The illustrated guide to a Ph.D. (Matt Might)
• The grammar according to West (Douglas West)
• Advice to a young mathematician #1 (Michael Atiyah, 2008)
• Advice to a young mathematician #5 (Peter Sarnak, 2008)
• Should I do a PhD? (Rishabh Jain, 2015)