software testing

MedCram's Dr. Roger Seheult summarizes a discussion with Dr. Michael Mina on cheap, paper-based at-home COVID-19 antigen tests. It explains why lower sensitivity can still work well for screening infectious people.

Robert Wills of TNMoC explains the Apollo Guidance Computer hardware and software, then walks through the Apollo 11 landing procedure step by step, including the 1202 alarms.

Casey Muratori's lecture, originally given at the Technical University of Madrid, arguing that Conway's Law is the only viable candidate for a true law of software architecture. He explains how software mimics the organization over time, using examples like Windows' multiple volume controls.

Daniel Dennett's Royal Institution lecture on whether the brain is a computer and where its software comes from. He argues that minds are built by evolution and culture, with competence arising without comprehension.

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.

Part one of Capt. Grace Hopper's 1982 NSA lecture on the future of data, hardware, software and people. It includes her humor, her nanosecond demonstration and views on scaling and resisting old ways of doing things.

Casey Muratori's invited lecture on where bad code comes from, rebroadcast from a Twitch stream. He critiques conventional wisdom such as SOLID and Clean Code and argues about how those habits lead to slow, poorly structured software.

Casey Muratori's first refterm lecture lays out philosophies of optimization, distinguishing optimization from non-pessimization, which means avoiding needless work. It uses his fast terminal renderer project to show how fast computers really are.

The first lesson of Uncle Bob (Robert C. Martin)'s "Coding Better World Together" series. It makes the case for clean code and for treating software craftsmanship as an ethical and professional responsibility. It runs about 109 minutes.

A lecture by Richard Feynman on how computers work, using the analogy of a filing clerk that becomes progressively dumber and faster. It also covers heuristics and how computers handle data and solve problems in finite time.

Casey Muratori's University of Twente guest lecture is a case study in how straightforward code can cut thousands of lines and tens of seconds of runtime down to a few dozen lines running in under a second. It uses concrete examples to show why software is often an order of magnitude slower than it should be.

First lecture of Stanford's CS106A Programming Methodology by Mehran Sahami, giving a course overview and starting on programming. The course teaches software engineering principles using Java.

A clip of psychologist Jordan Peterson lecturing on intelligence and IQ, covering how it is defined and its correlation with academic and work success.

A special lecture from MIT's Private Pilot Ground School in which Lt. Col. Randy Gordon, a fighter and test pilot, describes F-22 flight controls. Topics include thrust vectoring, the pilot command system and how software handles failures.

Brian Will critiques object-oriented programming and rewrites a roughly 3800-line OO program in a procedural style, cutting code and complexity. It is part of a series of OOP critiques.

A 2012 lecture by Richard Stallman at Reykjavik University arguing that copyright, built for the printing press, fits poorly with computer networks. He criticizes draconian enforcement and corporate lobbying.

Turing Award winner Michael Stonebraker gives the 2018 Donald B. Gillies Memorial Lecture at Illinois. He discusses the gap between academic research and industry problems, publishing incentives, and the influence of large industry users on research.

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.

Bill Dally of NVIDIA gives a University of Washington lecture on trends in deep learning hardware. It covers numeric formats, specialized instructions, energy per operation and co-design of hardware and software.