Covers Markov Chain Monte Carlo for sampling high-dimensional distributions, discussing challenges, advantages, and applications like the Knapsack Problem and cryptography.
Explores ancient cryptography techniques, the Enigma machine, Kirchhoff's principle, scalability in cryptography, Moore's Law, and a thought experiment on breaking a 128-bit key.