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Jeff Dean of Google describes his experiences building Google's systems and how its infrastructure evolved over time. The Stanford talk covers search, scaling tipping points and lessons from building large-scale software.

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.

John Ousterhout's slides-and-voiceover lecture on Paxos, made for the Raft user study comparing how students learn Raft and Paxos. It is a full introduction to the Paxos consensus algorithm.

Steve Blank's Computer History Museum lecture argues that Silicon Valley's roots lie in WWII radar and electronic warfare work, Stanford's Fred Terman and Cold War military funding rather than the semiconductor alone.

The opening lecture of MIT 6.824 Distributed Systems (Spring 2020), introducing the course and core challenges of distributed systems. It begins a playlist that goes on to cover Raft and other consensus papers in Go.

The first lecture in Martin Kleppmann's 8-lecture distributed systems series from the University of Cambridge undergraduate course. It introduces the subject, and accompanying lecture notes are available.

John Ousterhout lectures on the Raft consensus algorithm, made for the Raft user study comparing how students learn Raft and Paxos. It covers leader election and log repair.

A December 2005 guest lecture by Mark Zuckerberg in Harvard's CS50, discussing Facebook's early days, its technical choices and computer science. It captures him as a 21-year-old founder before Facebook's rise.

A 2013 lecture in which Vitalik Buterin explains what quantum computers are and what they can and cannot do. He then discusses what they could mean for Bitcoin's cryptography.

A 1997 Computer History Museum lecture in which Larry Tesler and Chris Espinosa recount how the Apple human interface was born, from the Lisa through the Macintosh. It covers design decisions such as discoverability and the standard editing keys.

Peter Norvig's UBC distinguished lecture on how massive amounts of simple data, such as for language modeling, can yield understanding that hand-built models could not.

The first lecture in an 18-part series on digital photography from Marc Levoy's Stanford CS 178 course, recorded at Google in 2016. The series covers how digital cameras work and computational photography, with slides and assignments available on the course site.