youtube algorithm

Andrei Alexandrescu's CppCon 2019 talk revisits sorting, showing how branchless tricks, hybrid strategies and a cost metric can speed up std::sort-style algorithms on modern hardware.

Psychologist Robert Epstein presents a Stanford EE380 colloquium on how internet algorithms such as search rankings can manipulate opinions, purchases and votes at massive scale. He also describes a new monitoring system for tracking such influence.

Lex Fridman interviews Donald Knuth about algorithms, complexity, The Art of Computer Programming, and his work habits. The conversation covers his approach to verifying algorithms and how he organises his time.

Dan Olson's 76-minute essay on flat earth belief, built around a hike to a lake to test earth's curvature. It examines the community, how YouTube promoted it, and how it connects to wider conspiracy thinking and QAnon.

A nearly four-hour video essay by hbomberguy on plagiarism on YouTube, centered on specific creators who copied other people's work. It examines what plagiarism is and how it went unaddressed.

Chandler Carruth's CppCon 2014 talk on writing fast C++, explaining why data structure choice and memory layout matter more than clever algorithms. It covers why standard containers like unordered_map perform poorly on modern CPUs.

Moleman 2 is a feature-length documentary about the demoscene, tracing its rise from 1980s Commodore 64 culture to modern real-time art. It explains the algorithms and creative process behind demos and intros.

Guy Steele presents a small geometric problem and compares four computational approaches: a classic sequential solution and three parallel-friendly ones. Each is illustrated pictorially and with working code, weighing total work against time to solution.

Sean Parent's GoingNative 2013 talk surveys new and overlooked C++ features and shows how to use them for simple, correct, clear code. It stresses using standard algorithms rather than raw loops.

Bryan Cantrill presents the ARC (Adaptive Replacement Cache) paper by Megiddo and Modha at Papers We Love. He opens with a survey of caching strategies before digging into the self-tuning LRU/MFU design.

Edward Kmett's 2013 talk at Prezi in Budapest on succinct data structures, which store data in close to the information-theoretic minimum space while supporting fast queries. It ties together the research and walks through his Haskell succinct library.

Donald Knuth explains at Stanford's CCRMA the constraint-based methods he is using to compose a major work for pipe organ.

The question-and-answer session that followed Jonathan Blow's talk on dealing with lack of motivation, malaise and depression. It is hosted on YouTube as a mirror of a Twitch recording.

A 2007 Google Tech Talk introducing Polyworld, an artificial life simulator used to evolve artificial intelligence by designing worlds rather than minds. It presents results from ongoing attempts to evolve intelligent behavior.

The full-length Numberphile interview with mathematician and hedge fund founder Jim Simons. He discusses his path from mathematics and codebreaking to founding Renaissance Technologies, his use of algorithms in markets, and his philanthropy.

Robert Lustig of UCSF lectures on the biochemistry of sugar, arguing that fructose and lack of fiber drive the obesity epidemic via insulin. It is the widely viewed 90-minute talk that popularized the anti-sugar case.

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.

Damian Conway's hour-long keynote at the Perl conference, On the Shoulders of Giants, showing off Perl 6 (Raku) features with history, algorithms and a quantum math operator built with grammars. It is delivered with comic flair.

Alan Kay's 1997 OOPSLA keynote, preserved on YouTube after being lost from Google Video. He discusses what object orientation was meant to be, messaging, system design, and the state of computing practice.

Conal Elliott presents his paper on automatic differentiation, deriving a simple, generalized AD algorithm from a natural specification. Varying the representation of derivatives yields forward and reverse mode algorithms that avoid the complexity and statefulness of backpropagation.

Stephan T. Lavavej's CppCon 2019 talk on implementing floating-point to_chars and from_chars in Microsoft's C++ STL. It covers the history of float-string conversion and the algorithms that make it much faster.

Chandler Carruth walks through tuning C++ performance, from writing benchmarks to analyzing results on real CPUs and compilers. It focuses on small-scale problems such as loop kernels, data structures and algorithms, and on keeping compilers from optimizing benchmarks away.

Martin Kleppmann surveys current research on CRDTs, the algorithms for merging concurrent edits across offline replicas. He covers the hard parts such as rich text, moves and merge results that are technically correct but poor.

The first lecture of David MacKay's Cambridge course on information theory, pattern recognition and neural networks. It introduces the core ideas of his book Information Theory, Inference, and Learning Algorithms.

A long live-coded DJ set in which Sam Aaron creates all the music in real time by writing code in his Sonic Pi system. It demonstrates algorithmic electronic music performance.

An hour-long absurdist Lasagna Cat video in which John Blyth Barrymore muses philosophically on a single Garfield strip. It is set to the full score of Philip Glass's Kundun.

The first lecture of an MIT course on Douglas Hofstadter's Godel, Escher, Bach, covering themes like self-reference, recursion and incompleteness. The full lecture series is on YouTube.

Guy Steele's Strange Loop 2010 talk argues that programmers should not have to think about parallelism, and that languages should support algorithms built on independence and divide-and-conquer. He also recounts fitting a program onto a single punch card.

Andrei Alexandrescu's ACCU 2016 talk previews material from his book on writing fast code, with a focus on optimization techniques such as sentinels and faster search.

Physicist and YouTuber Angela Collier argues in this hour-long video that AI as commonly described does not really exist. She covers the limits of the tools, biased datasets, and why they should not be used to make decisions.