“‘CS’ Tag”,2019-11-11 (tech)⁠:

Bibliography for tag cs, most recent first: 25 related tags, 60 annotations, & 46 links (parent).

• See Also
• Gwern
  • “Utext: Rich Unicode Documents”, Gwern2023
  • “Computer Optimization: Your Computer Is Faster Than You Think”, Gwern2021
  • “Machine Learning Scaling”, Gwern2021
  • “The 3 Grenades and the 4 Noble Truths”, Gwern2008
  • “AI Risk Demos”, Gwern2016
  • “Isomorphisms & Meaning”, Gwern2009
  • “Evolutionary Software Licenses”, Gwern2009
  • “Aria’s Past, Present, and Future”, Gwern2011
  • “Simulation Inferences”, Gwern2009
• Links
  • “A LLM Assisted Exploitation of AI-Guardian”, Carlini2023
  • “The Effect of Perceptual Load on Performance within IDE in People With ADHD Symptoms”, Kasatskii et al 2023
  • “Historical Decline in www Subdomain Use?”, Farrugia2023
  • “Catala: A Programming Language for the Law”, Merigoux et al 2021
  • “Energy Conservation With Open Source Ad Blockers”, Pearce2020
  • “Open Source Migrates With Emotional Distress”, Ronacher2019
  • “Founding and Growing Adobe Systems, Inc”, Warnock & Geschke2019
  • “Spooky Fizz Buzz § Pg42”, Menghrajani2019 (page 42)
  • “The Origins of PostScript”, Warnock2018
  • “Usage and Attribution of Stack Overflow Code Snippets in GitHub Projects”, Baltes & Diehl2018
  • “Software Engineering at Google”, Henderson2017
  • “Evaluating Lehman’s Laws of Software Evolution within Software Product Lines: A Preliminary Empirical Study”, Oliveira et al 2014
  • “The Evolution of the Laws of Software Evolution: A Discussion Based on a Systematic Literature Review”, Herraiz et al 2013
  • “On the Evolution of Lehman’s Laws”, Godfrey & German2013
  • “An Empirical Study of Lehman’s Law on Software Quality Evolution”, Yu & Mishra2013
  • “Programmer Information Needs After Memory Failure”, Parnin & Rugaber2012
  • Sweating Bullets: Notes about Inventing PowerPoint, Gaskins2012
  • “Report to the President and Congress: Designing a Digital Future: Federally Funded R&D in Networking and IT”
  • “The Biological Half-Life of Software Engineering Ideas”, Kruchten2008
  • “The Technical Development of Internet Email”, Partridge2008
  • “Dynamic Languages Strike Back”, Yegge2008
  • “PL-Detective: A System for Teaching Programming Language Concepts”, Diwan et al 2004
  • “The Learning Curve and the Yield Factor: the Case of Korea’s Semiconductor Industry”, Chung2001
  • “How to Become a Hacker”, Raymond2001
  • “Questions and Answers With Professor Donald E. Knuth”, Knuth1996 (page 7)
  • “Questions and Answers With Professor Donald E. Knuth § How to Customize T_eX”, Knuth1996 (page 7 topic bible)
  • “Laws of Software Evolution Revisited”, Lehman1996
  • “Crabs: the Bitmap Terror”, Cardelli1985
  • Program Evolution: Processes of Software Change, Lehman & Bélády1985
  • “Design Principles Behind Smalltalk”, Ingalls1981
  • “Bouvet and Leibniz: A Scholarly Correspondence”, Swiderski1980
  • “Programs, Life Cycles, and Laws of Software Evolution”, Lehman1980
  • “On Understanding Laws, Evolution, and Conservation in the Large-Program Life Cycle”, Lehman1979
  • “The Dollars and Sense of Continuing Education”, Jones1966
  • “The Turing Complete User”
  • “Catb.org Site Page”, Raymond2024
  • “Big Ball of Mud”
  • “The World’s First Code-Free Sparkline Typeface: Displaying Charts in Text without Having to Use Code”
  • “Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks”
  • “Operant Conditioning by Software Bugs”, Regehr2024
  • “Rules of Machine Learning”, Google2024
  • “Falsehoods Programmers Believe About X”
  • “The 3-Page Paper That Shook Philosophy: Gettiers in Software Engineering”
  • “Things That Used to Be Hard and Are Now Easy”
  • “Old Vintage Computing Research: Prior-Art-Dept.: ProleText, Encoding HTML Before Markdown (and a Modern Reimplementation)”
  • “SWAGGINZZZ”
  • “Predicting the Tide With an Analog Computer Made from Lego”
  • “Turing-Complete Chess Computation”
  • “Using Learning Curve Theory to Redefine Moore’s Law”
  • “Now Anyone Can Train Imagenet in 18 Minutes”
  • “Are We Really Engineers?”, Wayne2024
  • “What Engineering Can Teach (and Learn From) Us”, Wayne2024
  • “A Closer Look at Chess Scalings (into the Past)”
  • “Benchmarking an Old Chess Engine on New Hardware”
  • “Towards Moore’s Law Software: Part 3 of 3”
  • “Which Computational Universe Do We Live In? Cryptographers Want to Know Which of Five Possible Worlds We Inhabit, Which Will Reveal Whether Truly Secure Cryptography Is Even Possible.”
  • “Coding Machines”
  • “ProleText Information”
  • “Music on Demand”
  • “Keynote: Linus Torvalds in Conversation With Dirk Hohndel”
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