Today we discuss adventures, books, tools, and art discoveries before diving into unsupervised machine learning in this duo episode!

145: Unsupervised Machine Learning

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173: Mocking and Unit Tests

 
 Intro topic:  Headphones News/Links:

Texas A&M; University Physics Festivalhttps://physicsfestival.tamu.edu/Rust vs Cpp at GoogleLars Bergstrom (Google Director of Engineering): Rust teams at Google are as productive as the ones using Go and 2x those using Cpphttps://youtu.be/6mZRWFQRvmw?t=27012Is Cosine Similarity Really About Similarityhttps://arxiv.org/abs/2403.05440Xz utils supply chain attackAndres Freund at Microsofthttps://arstechnica.com/security/2024/04/what-we-know-about-the-xz-utils-backdoor-that-almost-infected-the-world/


 Book of the ShowPatrick:80/20 Running by Matt Fitzgeraldhttps://amzn.to/3xyEKLoJason: A Movie Making Nerdhttps://amzn.to/49ycDJj
 Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h 
 Tool of the ShowPatrick: Shapez Android: https://play.google.com/store/apps/details?id=com.playdigious.shapez&hl;=en_US&gl;=USShapez iOS: https://apps.apple.com/us/app/shapez-factory-game/id6450830779Jason: Dwarf Fortresshttps://store.steampowered.com/app/975370/Dwarf_Fortress/


 Topic: Mocking and Unit Tests

What are Unit TestsBalance between utility, maintenance, and coverageUnit Test: testing small functionsRegression Test: Testing larger functionsSystem Test: End-to-end testing of programsWhat are mocks & fakesWhen to use mock vs. fakeMocking libraries in various languagesPython: https://docs.python.org/3/library/unittest.mock.htmlJava: https://github.com/mockito/mockitoC++:  https://github.com/google/googletest




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173: Mocking and Unit Tests

172: Transformers and Large Language Models

 
 Intro topic: Is WFH actually WFC?

 News/Links:

Falsehoods Junior Developers Believe about Becoming Seniorhttps://vadimkravcenko.com/shorts/falsehoods-junior-developers-believe-about-becoming-senior/Pure PursuitTutorial with python code: https://wiki.purduesigbots.com/software/control-algorithms/basic-pure-pursuit Video example: https://www.youtube.com/watch?v=qYR7mmcwT2w PID without a PHDhttps://www.wescottdesign.com/articles/pid/pidWithoutAPhd.pdfGoogle releases Gemmahttps://blog.google/technology/developers/gemma-open-models/


 Book of the ShowPatrick: The Eye of the World by Robert Jordan (Wheel of Time)https://amzn.to/3uEhg6vJason: How to Make a Video Game All By Yourselfhttps://amzn.to/3UZtP7b
 Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h 
 Tool of the ShowPatrick: Stadia Controller Wifi to Bluetooth Unlockhttps://stadia.google.com/controller/index_en_US.htmlJason: FUSE and SSHFShttps://www.digitalocean.com/community/tutorials/how-to-use-sshfs-to-mount-remote-file-systems-over-ssh


 Topic: Transformers and Large Language Models

How neural networks store informationLatent variablesTransformersEncoders & DecodersAttention LayersHistoryRNNVanishing Gradient ProblemLSTMShort term (gradient explodes), Long term (gradient vanishes)Differentiable algebraKey-Query-ValueSelf AttentionSelf-Supervised Learning & Forward ModelsHuman FeedbackReinforcement Learning from Human FeedbackDirect Policy Optimization (Pairwise Ranking)
 


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172: Transformers and Large Language Models

Intro topic: Monitor setups

 News/Links:

BlueScuti, Willis, beats Tetrishttps://www.youtube.com/watch?v=GuJ5UuknsHUPalWorld accused of being an AI Producthttps://www.forbes.com/sites/paultassi/2024/01/22/palworld-accused-of-using-genai-with-no-evidence-so-far/?sh=26a9651b42394 Billion if-statements to determine if a number is even or oddhttps://andreasjhkarlsson.github.io/jekyll/update/2023/12/27/4-billion-if-statements.htmlSeamless M4Thttps://ai.meta.com/blog/seamless-m4t/


 Book of the ShowPatrick:Foundation by Isaac Asimovhttps://amzn.to/3SrmgnPJason: Propaganda by Edward Bernayshttps://amzn.to/47JUCXJ
 Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h 
 Tool of the ShowPatrick: The Room Gamehttps://www.fireproofgames.com/games/the-roomJason:Incredibuildhttps://www.incredibuild.com/


 Topic: Compilers and Interpreters (Request by Jessica W.)

Machine CodeArchitecture SpecificAssemblySingle vs Two Pass CompilerHigh level LanguagesIntermediate RepresentationJVM ByteCode vs Machine Code for portabilityScripting/InterpretersJITProfile Guided OptimizationResourceshttps://www.craftinginterpreters.com/https://nandgame.com/Turing Complete

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171: Compilers and Interpreters

Predictions:
Jason VR for WorkLowering AI training cost/ improved efficiencyRISC-V takeoff
 PatrickAi claim of AGIAi peer reviewerAi Video GeneratorMore space vehicles reaching orbitEarly career, finding role at FAANG, liaising vs shipping code. Startup? 3 part. 1. How and when current hype for AI will end? 2. Shape of the show 3. Upcoming in tech What are essential programmer knowledge items? CS Student, how to organize life and goals? What purpose life should serve? What kind of programmer were you in college? Happy Holidays!

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170: 2023 Holiday Special Live

Intro topic: Testing your car battery

 News/Links:

Tech Layoffs still going onhttps://www.sfchronicle.com/tech/article/google-layoffs-california-companies-18465600.php Real-time dreamy Cloudscapes with Volumetric Raymarchinghttps://blog.maximeheckel.com/posts/real-time-cloudscapes-with-volumetric-raymarching/Robot Rascalshttps://en.wikipedia.org/wiki/Robot_Rascals Meta Quest 3 https://www.theverge.com/23906313/meta-quest-3-review-vr-mixed-reality-headset

Book of the ShowPatrick:HyperLogLog Paperhttps://static.googleusercontent.com/media/research.google.com/en//pubs/archive/40671.pdf Jason: Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning https://blogs.nvidia.com/blog/2023/10/20/eureka-robotics-research/ Patreon Plug https://www.patreon.com/programmingthrowdown?ty=h 
 Tool of the ShowPatrick: Techtonica: https://store.steampowered.com/app/1457320/Techtonica/ Jason:ESP32 development board: https://amzn.to/3Qpmb20 WEMOS
 Topic: HyperLogLog

MotivationCardinality CountingLinearCountingHash + expectation of collision based on how fullBloom FilterLogLogUse first N bits as bucketUse max sequential 0s in each bucketAverageHyperLogLogHandle empty bucketsUse correction factor like linear counting for low counts (number of empty buckets) and high countsDistributingTransfer bucket counts

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145: Unsupervised Machine Learning

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