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Harvard Belfer Center lecture by Matthew Bunn explaining how nuclear bombs work, including fission and fusion weapons and which parts of bomb-making are hard. It is part 1 of 2 in the Nuclear 101 series.

Economist Richard Wolff's Talks at Google lecture on his book Democracy at Work. He critiques capitalism and argues for worker-run cooperatives as a path to a more democratic economy.

Mark Blyth's 2016 Brown University lecture on global Trumpism, explaining the rise of populism through economics, the decline of Western middle classes and revolt against technocracy.

Political economist Mark Blyth gives a lecture tracing two versions of capitalist 'software': the postwar Great Compression era and the neoliberal era from 1980 to 2008. He explains the bug that crashed the first and the design of the second.

Guy Kawasaki's UC Berkeley Haas talk on the top ten mistakes entrepreneurs make, covering a startup from inception to exit.

Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.

Leonard Susskind opens Stanford Continuing Studies' Theoretical Minimum series with an introduction to quantum mechanics, a course for people who want real physics rather than popularization. It assumes some calculus and linear algebra.