Links of Interest

• “No inventions; no innovations," a History of US Steel: https://www.construction-physics.com/p/no-inventions-no-innovations-a-history
• Why are Apple silicon VMs so different?: https://eclecticlight.co/2023/12/29/why-are-apple-silicon-vms-so-different/
• How Arm conquered the chip market without making a single chip: https://www.theverge.com/23373371/arm-chips-chip-shortage-ceo-rene-haas-tech-intel-apple-decoder
• The Random Transformer: https://osanseviero.github.io/hackerllama/blog/posts/random_transformer/
• You don't need analytics on your blog: https://blog.yossarian.net/2023/12/24/You-dont-need-analytics-on-your-blog
• On building a semantic search: https://vickiboykis.com/2024/01/05/retro-on-viberary/
• Some good pointers on lasting web pages: https://jeffhuang.com/designed_to_last/
• Simple lasts longer: https://newsletter.pnote.eu/p/simple-lasts-longer
• Guide to Self-Attention: https://twiecki.io/blog/2024/01/04/
• Building a Container from Scratch in Rust: https://brianshih1.github.io/mini-container/
• Nice looking blog w/ contents: https://matthewsanabria.dev/posts/no-shell-for-you-container/#difficulties-of-minimal-container-images
• Setting up Windows 11 w/o Microsoft Account: https://www.tomshardware.com/how-to/install-windows-11-without-microsoft-account
• Follow RSS across the web: https://openrss.org/
• (Machine Learning Engineering Open Book ): https://github.com/stas00/ml-engineering
• Why is machine learning hard?: https://ai.stanford.edu/~zayd/why-is-machine-learning-hard.html
• Machine learning is still too hard for software engineers: https://news.ycombinator.com/item?id=39109469
• Build an LLM (from Scratch): https://github.com/rasbt/LLMs-from-scratch
• Goodhart's law: https://en.wikipedia.org/wiki/Goodhart%27s_law ("When a measure becomes a target, it ceases to be a good measure.")
• Technology is the problem )includes mention of "doped silicon user interfaces"): https://www.shyamsankar.com/p/technology-is-the-problem
• (I just like the heading fonts): https://joshstrange.com/2019/09/26/my-mac-apps/
• This site's auto-generated sitemap: https://blog.zenosmosis.com/sitemap.xml
• Running Local LLMs and VLMs on the Raspberri Pi: https://towardsdatascience.com/running-local-llms-and-vlms-on-the-raspberry-pi-57bd0059c41a
• Adding full-text search to a static site: https://www.markusdosch.com/2022/05/adding-full-text-search-to-a-static-site-no-backend-needed/
• AI-driven search engine: https://www.perplexity.ai/
• Building container images using no tools: https://ravichaganti.com/blog/2022-11-28-building-container-images-using-no-tools/
• (A search engine in 80 lines of Python [give or take])
  • https://news.ycombinator.com/item?id=39293050
  • https://www.alexmolas.com/2024/02/05/a-search-engine-in-80-lines.html
  • Related [found in same Hacker News discussion]: https://github.com/softwaredoug/searcharray
• Aligning an LLM with human preferences (I like the "trainer" API design, at first glance): https://datadreamer.dev/docs/latest/pages/get_started/quick_tour/aligning.html
• Self-balancing cube: https://willempennings.nl/balancing-cube/
• StatQuest: An epic journey through statistics and machine learning: https://statquest.org/
• Fractals in Neural Network Hyperparameter Tuning: https://www.linkedin.com/posts/liorsinclair_this-is-incredible-fractal-patterns-were-ugcPost-7162848575834501125-TuDV?utm_source=share&utm_medium=member_desktop (related paper: https://arxiv.org/abs/2402.06184 )
• AdaBelief Optimizer: https://arxiv.org/abs/2010.07468 (source code: https://github.com/juntang-zhuang/Adabelief-Optimizer )
• [Mostly non-optimized] Machine Learning Algorithms in Python: https://github.com/rushter/MLAlgorithms
• Fix loose git object corruption: https://accio.github.io/programming/2021/06/16/fix-loose-objects-in-git.html
• GPT in 500 lines of SQL: https://explainextended.com/2023/12/31/happy-new-year-15/
• GPT in 60 lines of NumPy (Hacker News): https://news.ycombinator.com/item?id=34726115
• Emergent mind (monitors social mdedia for discussions about recently-published arXiv papers): https://www.emergentmind.com/
• Accelerating Generative AI with PyTorch II: GPT, Fast: https://pytorch.org/blog/accelerating-generative-ai-2/
• Keras (MLX backend): https://github.com/keras-team/keras/pull/18962
• Kaggle Finance Dataset (search): https://www.kaggle.com/search?q=finance+dataset
• Eloquent JavaScript 4th Edition (2024): https://news.ycombinator.com/item?id=39629044
• Famous algorithmic patterns and their everyday usage: https://www.linkedin.com/posts/arslanahmad_systemdesign-softwarearchitecture-softwaredevelopment-activity-7170661917621936128-qwFf?utm_source=share&utm_medium=member_desktop
• Big-O cheat sheet: https://www.linkedin.com/posts/arslanahmad_codinginterview-timecomplexity-activity-7167956367599763456-4H4t?utm_source=share&utm_medium=member_desktop
• Data structures worth knowing: https://www.linkedin.com/posts/arslanahmad_systemdesign-coding-interviewtips-activity-7171064213992402944-0qSv?utm_source=share&utm_medium=member_desktop
• Exponential smoothing animation tricks (with code examples): https://lisyarus.github.io/blog/programming/2023/02/21/exponential-smoothing.html
• I Was a Statistics Professor. I Used Sports Betting to Retire at 43: https://www.newsweek.com/i-was-statistics-professor-i-used-sports-betting-retire-43-1858974
• Linear warmup with cosine annealing (machine learning): https://github.com/rasbt/LLMs-from-scratch/blob/main/appendix-D/01_main-chapter-code/appendix-D.ipynb
• An invention to silence reggaeton with artificial intelligence: https://english.elpais.com/technology/2024-03-17/an-invention-to-silence-reggaeton-with-artificial-intelligence.html
• Sam's Journey (new NES game): https://news.ycombinator.com/item?id=39730787
• Grok-1 (xAI model): https://github.com/xai-org/grok-1
• Spleeter (audio source separation library with pretrained models; stem separation; vocals / drums / bass / piano / other separation): https://github.com/deezer/spleeter/wiki/2.-Getting-started#using-docker-image
• Free Spark Resources: https://www.linkedin.com/posts/shubhamwadekar_spark-data-dataengineering-activity-7178246825999556609-CjSI/?utm_source=share&utm_medium=member_android
• AssemblyScript: A TypeScript-like language for WebAssembly: https://www.assemblyscript.org/
• Radios, how do they work? (A brief introduction to antennas, superheterodyne receivers, and signal modulation schemes): https://lcamtuf.substack.com/p/radios-how-do-they- (Hacker News discussion: https://news.ycombinator.com/item?id=39813679 )
• Modern AI Discourse is Talentless Business Students Trying to Give Young Engineers PTSD: https://www.timokats.xyz/?content=writings/aiblog
• Reading and Writing WAV Files in Python: https://realpython.com/python-wav-files/
• Conversation as an Interface (2016): https://annjose.com/post/conversation-as-interface/
• Svelte parses HTML all wrong: https://github.com/sveltejs/svelte/issues/11052
• Find Median from Data Stream: https://leetcode.com/problems/find-median-from-data-stream/ (maybe it could be useful for implementation of RobustScaler partial fit [open-source the solution?]; related StackOverflow discussion: https://stackoverflow.com/questions/57291876/robustscaler-partial-fit-similar-to-minmaxscaler-or-standardscaler )
• LeetCode (25 questions to cover the most important patterns): https://www.linkedin.com/posts/alexandre-zajac_softwareengineering-coding-programming-activity-7181538559999238144-lwW8?utm_source=share&utm_medium=member_desktop
• JetMoE: Reaching LLaMA2 Performance with 0.1M Dollars: https://research.myshell.ai/jetmoe (Hacker News discussion: https://news.ycombinator.com/item?id=39933076 )
• Books for Learning Math for Machine Learning: https://mltechniques.com/2022/06/13/math-for-machine-learning-12-must-read-books/
• llm.c (Karpathy; LLM training in simple, pure C/CUDA): https://github.com/karpathy/llm.c
• ETF Dictionary: https://etfdb.com/etfs/
• Pick great stocks if you are a developer: https://medium.com/@Sanji_vals/pick-great-stocks-if-you-are-a-developer-detailed-guidance-on-stock-selection-for-developers-c1629b3a8eed
• ML big or small data and how it affects model architecture decisions: https://www.linkedin.com/posts/damienbenveniste_your-data-can-tell-you-a-lot-about-the-type-activity-7186390432434577409-xYI5
• JSR (The open-source package registry for modern JavaScript and TypeScript): https://jsr.io/
• How Vector Databases Work: https://www.linkedin.com/pulse/understanding-how-vector-databases-work-damien-benveniste-g6htc/
• Multihead Attention Layer with a Kolmogorov–Arnold Networks (KAN): https://www.linkedin.com/posts/damienbenveniste_here-is-my-implementation-of-a-multihead-activity-7192940670192394240-xq05
• Sparse Multihead Attention (implementation): https://www.linkedin.com/posts/damienbenveniste_here-is-how-you-can-create-a-multihead-self-attention-activity-7195828872121102337-OsPg/
• AI-powered robots are finding the flaws in ‘D’ grade U.S. infrastructure, from commuter bridges to military hardware: https://www.cnbc.com/2024/05/15/these-wall-climbing-robots-are-finding-flaws-in-d-grade-infrastructure.html
• MoE multi-head attention (PyTorch example): https://www.linkedin.com/posts/damienbenveniste_can-we-mix-the-concepts-of-multihead-attentions-activity-7199089073381072897-nNfF
• Here’s what’s really going on inside an LLM’s neural network: https://arstechnica.com/ai/2024/05/heres-whats-really-going-on-inside-an-llms-neural-network/
• Economic theory: https://en.wikipedia.org/wiki/Economics#Theoretical_research
• GuruFocus (investing): https://www.gurufocus.com/
• Financial Statement Analysis with Large Language Models: https://www.newsletter.datadrivenvc.io/p/financial-statement-analysis-with (LinkedIn thread: https://www.linkedin.com/posts/andreretterath_financial-statement-analysis-with-large-language-activity-7199289952910667776-14At )
• Vector Indexing all of Wikipedia, on a laptop: https://foojay.io/today/indexing-all-of-wikipedia-on-a-laptop/ (Hacker News discussion: https://news.ycombinator.com/item?id=40514266 )
• De-Googling: https://blog.nradk.com/posts/degoogling/
• Don't be stupid about trading: https://www.linkedin.com/posts/alfonso-peccatiello-72156a6a_trading-is-hard-and-the-rule-1-not-to-activity-7203750640576086017-KDKA
• Interesting CSS-separator generator (different shapes + demo): https://github.com/wwebdev/separator-generator (demo: https://wweb.dev/resources/css-separator-generator)
• Google Search console: https://search.google.com/search-console
• Apple MusicKit ("what am I listening to?"): https://developer.apple.com/documentation/musickitjs
• Immersive Linear Algebra (interactive book): https://immersivemath.com/ila/index.html
• Extracting Concepts from GPT-4: https://openai.com/index/extracting-concepts-from-gpt-4/
• Polars-Cookbook (Jupyter notebook examples for Python Polars): https://github.com/PacktPublishing/Polars-Cookbook
• Naked JSX: https://nakedjsx.org/
• Why Google Sheets ported its calculation worker from JavaScript to WasmGC: https://web.dev/case-studies/google-sheets-wasmgc
• Rust learning resources:
  • Small exercises: https://github.com/rust-lang/rustlings
  • Book: https://doc.rust-lang.org/book/
• Active Strategies Are Looking Good, But Don’t Abandon Your ETFs: https://www.barrons.com/articles/active-strategies-are-looking-good-but-dont-abandon-your-etfs-2057c60d
• Eureka Labs (Andrej Karpathy education project): https://eurekalabs.ai/
• GitHub Status: https://www.githubstatus.com/
• CrowdStrike Technical Details on Today’s [July 19, 2024] Outage: https://www.crowdstrike.com/blog/technical-details-on-todays-outage/
• Branchless Programming: https://www.linkedin.com/posts/heriklima_cplusplus-branchlessprogramming-optimization-activity-7218766293506674688-RQu5
• HATEOAS (Hypermedia as the engine of application state): https://en.wikipedia.org/wiki/HATEOAS (Roy Fielding: https://en.wikipedia.org/wiki/Roy_Fielding )
• Argo tunnels that live forever: https://blog.cloudflare.com/argo-tunnels-that-live-forever
• The Standard (A collection of decades of experience in the engineering industry): https://github.com/hassanhabib/The-Standard
• How Postgres stores data on disk: https://drew.silcock.dev/blog/how-postgres-stores-data-on-disk/ (Hacker News thread: https://news.ycombinator.com/ )
• This Week in Rust (Aug. 7, 2024): https://this-week-in-rust.org/blog/2024/08/07/this-week-in-rust-559/
• Distributed Filesystem written in Rust: https://medium.com/@xorio42/list/distributed-filesystem-written-in-rust-317d40f38304
• Thoughts on vector-database searches: https://www.linkedin.com/posts/damienbenveniste_we-have-recently-seen-a-surge-in-vector-databases-activity-7226984916687708160-K-1Z/
• e18e (initiative to improve JavaScript ecosystem performance): https://e18e.dev/
• Information bottleneck method: https://en.wikipedia.org/wiki/Information_bottleneck_method
• Winsorizing (transformation of statistics by limiting extreme values in the statistical data to reduce the effect of possibly spurious outliers): https://en.wikipedia.org/wiki/Winsorizing
• How to Make Your Machine Learning Models Robust to Outliers: https://www.comet.com/site/blog/how-to-make-your-machine-learning-models-robust-to-outliers/
• Apache Parquet vs. CSV: https://www.databricks.com/glossary/what-is-parquet
• Ask HN: What are your favorite index ETFs for Investing? https://news.ycombinator.com/item?id=40947524
• DFS as a filesystem (use DNS for a filesystem): https://www.linkedin.com/posts/laurie-kirk_dns-can-be-used-as-a-filesystem-yes-you-activity-7234610957002399744-Lqjv
• "Microsoft's Phi 3.5 vision model is really good at OCR/text extraction": https://x.com/dylfreed/status/1828132226523131931
• ETF Research Center: https://www.etfrc.com/portfolios/builder.php
• Information about passive investing (inspired by the philosophy of Vanguard founder John C. Bogle): https://bogleheads.org/
• Multithreading in Node.js: Using Atomics for Safe Shared Memory Operations: https://pavel-romanov.com/multithreading-in-nodejs-using-atomics-for-safe-shared-memory-operations
• Windows NT vs. Unix - A design comparison: https://blogsystem5.substack.com/p/windows-nt-vs-unix-design
• DARPA Translating All C to Rust (TRACTOR): https://www.darpa.mil/program/translating-all-c-to-rust (related Hacker News thread: https://news.ycombinator.com/item?id=41110269 )
• Moodist - Ambient sounds for focus and calm: https://moodist.app/
• Apple Mobile Processors Are Now Made in America (By TSMC): https://timculpan.substack.com/p/apple-mobile-processors-are-now-made
• The 2 ETFs That Track Congressional Stock Trades: https://www.morningstar.com/funds/2-etfs-that-track-congressional-stock-trades
• MLOps-Basics ("Understand the basics of MLOps like model building, monitoring, configurations, testing, packaging, deployment, cicd, etc."): https://github.com/graviraja/MLOps-Basics
• LLMs in Finance: https://github.com/hananedupouy/LLMs-in-Finance/tree/main (Related LinkedIn post: https://www.linkedin.com/posts/hanane-d-algo-trader_anthropic-agent-with-llamaindex-financial-activity-7241080939131392000-5sJa )
• Google Illuminate ("Transform your content into engaging AI‑generated audio discussions"): https://illuminate.google.com/
• ML - How to optimally sample Imbalanced Data: https://www.linkedin.com/feed/update/urn:li:activity:7247530677594718209
• JavaScript Structs proposal: https://github.com/tc39/proposal-structs
• "Whenever I lack motivation, I watch this": https://www.linkedin.com/posts/linasbeliunas_whenever-i-lack-motivation-i-watch-this-activity-7253121679277641728-koQo
• The pros and cons for investors of nonstop trading as NYSE looks to go 22 hours a day: https://www.cnbc.com/2024/10/28/the-pros-and-cons-for-investors-of-nonstop-trading-as-nyse-looks-to-go-22-hours-a-day-.html
• Send Web Push notifications from a Node.js server: https://www.bocoup.com/blog/full-stack-web-push-api-guide (also: https://www.npmjs.com/package/web-push )
• The Rust eBookshelf (The Rust Language & Ecosystem): https://dieterplex.github.io/rust-ebookshelf/ ( https://github.com/dieterplex/rust-ebookshelf )
• Your Hacker News (personalized, newspaper-like Hacker News): https://yourhackernews.com/
• You can work at McDonald’s and still become a millionaire: https://www.cnbc.com/2024/11/09/how-to-work-at-mcdonalds-and-still-become-a-millionaire.html
• Draw graphing trees with OpenAI: https://www.linkedin.com/posts/damienbenveniste_can-we-draw-trees-with-llms-you-bet-you-activity-7267594686788182016-CLQi/
• Rust WebAssembly OCR experiments: https://hugopeixoto.net/articles/rust-wasm-ocr-experiments.html
• Very simple C compiler, in C: https://www.linkedin.com/posts/maximilianfeldthusen_programming-compiler-parsing-activity-7272498448786989057-0THx
• [disregard if this seems totally irrelevant] Michael Saylor briefly mentions LVMH handbags: https://www.linkedin.com/posts/linasbeliunas_in-2012-michael-saylor-made-the-best-long-term-activity-7272598673509806080-uz7o/
• CNBC: "ETFs will soon beat mutual funds among financial advisor holdings, report finds": https://www.cnbc.com/2024/12/17/etfs-will-soon-beat-mutual-funds-among-advisor-holdings-report.html
• ONNX (Open Neural Network Exchange; The open standard for machine learning interoperability): https://onnx.ai/
• TensorFlow Hub ("repository of trained machine learning models"): https://www.tensorflow.org/hub
• Deep clustering with fusion autoencoder: https://arxiv.org/pdf/2201.04727
• Inside Zildjian, a 400-year-old cymbal-making company in Massachusetts: https://www.wbur.org/news/2024/12/16/400-years-zildjian-cymbals-massachusetts
• Building effective agents (maybe skip the frameworks): https://www.anthropic.com/research/building-effective-agents
• Standard Schema (A common interface for TypeScript validation libraries): https://standardschema.dev/
• Rust and Web Assembly: https://rustwasm.github.io/ (book: https://rustwasm.github.io/docs/book/introduction.html )
• GitHub ETF topic search: https://github.com/topics/etfs
• NetBSD on a JavaStation: https://fatsquirrel.org/oldfartsalmanac/netbsd-on-a-javastation/
• Flatbuffers Rust threading: https://flatbuffers.dev/languages/rust/#:~:text=Creating%20a%20FlatBuffer%20is%20not,outside%20of%20it%20is%20touched
• Slowroads (endless driving in a browser): https://slowroads.io/
• "The little book about OS development": https://news.ycombinator.com/item?id=43440473
• File Systems Unfit as Distributed Storage Backends: https://news.ycombinator.com/item?id=21730502
• Log-structured merge-tree: https://en.wikipedia.org/wiki/Log-structured_merge-tree
• XBRL: "Parsing it wasn't fun": https://news.ycombinator.com/item?id=41847826
• The cultural evolution of distortion in music (HN thread): https://news.ycombinator.com/item?id=43575379
• Model Context Protocol (MCP): https://modelcontextprotocol.io/introduction
• Seattle Method (financial accounting): http://www.xbrlsite.com/seattlemethod/
• LLMS + Ontologies ("The LLMs help discover new knowledge, and the ontologies compile that knowledge down for future us"): https://www.knowledge-graph-guys.com/blog/llms-ontologies
• Accelerated PyTorch training on Mac: https://developer.apple.com/metal/pytorch/
• A flowing WebGL gradient, deconstructed: https://alexharri.com/blog/webgl-gradients
• Rust in Production Podcast: https://corrode.dev/podcast/
• Free computer books: https://freecomputerbooks.com/
• Seeing [Statistical] Theory: https://seeing-theory.brown.edu/
• Statistical Thinking for the 21st Century: https://statsthinking21.org/
• Three Approaches to Encoding Time Information as Features for ML Models: https://developer.nvidia.com/blog/three-approaches-to-encoding-time-information-as-features-for-ml-models/
• How NASA is Using Graph Technology and LLMs to Build a People Knowledge Graph: https://memgraph.com/blog/nasa-memgraph-people-knowledge-graph
• Bayes' theorem: https://en.wikipedia.org/wiki/Bayes%27_theorem
• Nine Rules for SIMD Acceleration of Your Rust Code (Part 1) General Lessons from Boosting Data Ingestion in the range-set-blaze Crate by 7x: https://www.reddit.com/r/rust/comments/18hj1m6/nine_rules_for_simd_acceleration_of_your_rust/
• "Google's ML interview secret; They test these 10 concepts every time": https://www.linkedin.com/posts/ghadeer-al-ruwaishedi_googles-ml-interview-secret-they-test-these-activity-7337148915470721024-nO2Z
• ORCID (Open Researcher and Contributor ID): https://info.orcid.org/ [note: GitHub allows association by this]
• How to have the browser pick a contrasting color in CSS: https://webkit.org/blog/16929/contrast-color/
• DVC Pipelines: https://codecut.ai/introduction-to-dvc-data-version-control-tool-for-machine-learning-projects-2/
• "Are we learning yet?" (A work-in-progress to catalog the state of machine learning in Rust): https://www.arewelearningyet.com/
• "Stop Writing SQL for AI Agents: Build Direct Database Access with FastMCP": https://codecut.ai/fastmcp-sql-bridge-database-access/
• Web games (from creators of bitcode ): https://softbear.com/
• Polars benchmarks ([Rust] [Python]): https://pola.rs/posts/benchmarks/
• Polars custom datasource plugins: https://github.com/pola-rs/pyo3-polars/issues/74 (PyO3 example: https://github.com/pola-rs/pyo3-polars/tree/main/example/io_plugin )
• SQL Design Patterns: https://vadimtropashko.wordpress.com/%e2%80%9csql-design-patterns%e2%80%9d-book/about/ (HackerNews discussion: https://news.ycombinator.com/item?id=45035618 )
• Rust Innovation Lab (announcement): https://blog.rust-lang.org/2025/09/03/welcoming-the-rust-innovation-lab/

Papers of Interest

• [used in Apache Parquet] Dremel: Interactive Analysis of Web-Scale Datasets: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf (also: https://github.com/julienledem/redelm/wiki/The-striping-and-assembly-algorithms-from-the-Dremel-paper )
• Fractals in Neural Network Hyperparameter Tuning: https://arxiv.org/abs/2402.06184 -Deep Reinforcement Learning for Quantitative Trading: https://arxiv.org/abs/2312.15730v1
• Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping: https://arxiv.org/html/2402.14083v1 -[Apple's multi-modal, foundational model] MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training: https://arxiv.org/abs/2403.09611 (relevant Hacker News discussion: https://news.ycombinator.com/item?id=39722498 )
• Can Large Language Models Reason and Plan? (PDF): https://arxiv.org/pdf/2403.04121.pdf
• ConnectorX: Accelerating Data Loading form Databases to Dataframes: https://www.vldb.org/pvldb/vol15/p2994-wang.pdf
• File Systems Unfit as Distributed Storage Backends: https://dl.acm.org/doi/pdf/10.1145/3341301.3359656
• Towards a Theory of Semantic Communication: https://ieeexplore.ieee.org/document/6004632 (possible related alternative: https://arxiv.org/pdf/2212.01485 )
• Computer Empathy (Artificial Intelligence and Knowledge Engineering Basics in a Nutshell; a nontechnical introduction to technology that will shape your future for professional accountants and other business professionals): https://xbrlsite.azurewebsites.net/2018/Library/ComputerEmpathy.pdf
• Annealed dropout training of deep networks: https://ieeexplore.ieee.org/document/7078567
• WebTransport API: https://developer.mozilla.org/en-US/docs/Web/API/WebTransport_API
• Rust Serialization Benchmark: https://github.com/djkoloski/rust_serialization_benchmark
• Writing a storage engine in Rust: Crash Recovery: https://nimrodshn.medium.com/writing-a-storage-engine-in-rust-writing-a-persistent-btree-crash-recovery-7ac623dd3b1f (implementation: https://github.com/nimrodshn/btree )

Job Boards / Links

• HNHIRING is an index of jobs from Hacker News' Who is Hiring? posts: https://hnhiring.com/
• "Find your dream remote job without the hassle" (includes API & RSS feed): https://remotive.com/
• https://wellfound.com/jobs

Books of Interest

• Build a Large Language Model (From Scratch): https://www.manning.com/books/build-a-large-language-model-from-scratch?utm_source=raschka&utm_medium=affiliate&utm_campaign=book_raschka_build_12_12_23&a_aid=raschka&a_bid=4c2437a0&chan=mm_github
• WebGPU Unleashed: A Practical Tutorial (free book on WebGPU programming): https://shi-yan.github.io/webgpuunleashed/ (Hacker News thread: https://news.ycombinator.com/item?id=41156872 )
• Rust Under The Hood: https://eventhelix.com/rust/rust-under-the-hood/ (corresponding video: https://www.youtube.com/watch?v=L8caNpK3Shs )

Videos of Interest

• [channel] Jon Gjengset: We're building libraries and tools in the Rust programming language: https://www.youtube.com/@jonhoo/videos
• Python: The Documentary | An origin story: https://www.youtube.com/watch?v=GfH4QL4VqJ0
• Charlie Munger explains Inversion Thinking Process: https://www.youtube.com/watch?v=K_vFpa0v3Wg&t=148s
• Understand the Economy Part 3: Why is Inequality Ignored?: https://www.youtube.com/watch?v=CivlU8hJVwc&list=PLXuOBKrmFYbKytq9mkcd62sJPb6w12vpU
• The reverse psychology of getting rich: https://www.linkedin.com/posts/alvinfsc_the-reverse-psychology-of-getting-rich-activity-7316988653895880704-8BvR
• Special Theory of Machine-based Communication of Semantic Information of Financial Statements: https://www.youtube.com/watch?v=EDtjz7qdjHQ
• Jordan Peterson's secret to success: https://www.linkedin.com/posts/alvinfsc_jordan-peterson-reveals-the-secret-to-success-activity-7295936084843118592-OjKp
• Alex Iron Man suit: https://www.youtube.com/watch?v=BsScbDG2Tqo
• Using leverage to increase growth potential: https://www.youtube.com/watch?v=V87X4AtZE5s
• 2,600 year old shipwreck found off the coast of Spain: https://www.youtube.com/watch?v=YPwGi3sEFjo
• [comedy] Huawei phone hand data transfer: https://www.linkedin.com/posts/itsmrmetaverse_peanutbutter-apple-bashing-time-its-been-ugcPost-7273321954244284416-B51h
• [comedy] AI Granny waste phone scammer's time: https://www.linkedin.com/posts/linasbeliunas_this-is-brilliant-o2-has-introduced-daisy-activity-7271828712692621312-dWe4
• Jack Bogle on Index Funds, Vanguard, and Investing Advice: https://www.youtube.com/watch?v=MLgn_kVKjCE&t=871s
• Warren Buffett reveals his investment strategy for mastering the market: https://www.youtube.com/watch?v=SEZwkbliJr8
• Introducing Temporal Similarity Search for Vector Databases: https://www.youtube.com/watch?v=5XRAIcVAMFU
• How many kernel system calls do runtimes make? https://www.youtube.com/watch?v=ERaGORGfLF4
• Nvidia CEO on doing great work: https://www.linkedin.com/posts/alvinfsc_nvidia-ceo-doing-great-work-is-not-about-activity-7210139644032692224-pYvo
• Let's reproduce GPT-2 (124M): https://www.youtube.com/watch?v=l8pRSuU81PU
• Building transformers from scratch: https://www.youtube.com/watch?v=kCc8FmEb1nY
• AI beats multiple World Records in Trackmania (reinforcement learning): https://www.youtube.com/watch?v=kojH8a7BW04
• PyTorch for Deep Learning & Machine Learning (long, ~24-hour video): https://www.youtube.com/watch?v=V_xro1bcAuA
• But what is a GPT? Visual intro to Transformers: https://www.youtube.com/watch?v=wjZofJX0v4M
• Playing Classic Pink Floyd Solos with the Black Gilmour Squier Strat: https://www.youtube.com/watch?v=77dnGLYJHlA
• Fax in Your Code: https://www.youtube.com/watch?v=pJ-25-pRhpY
• A machine that shows how processors perform addition with binary numbers: https://www.linkedin.com/posts/alvinfsc_a-machine-that-shows-how-processors-perform-activity-7337529257675431937-w9lv
• Building Smart Contracts on Polkadot ([Rust]): https://www.youtube.com/watch?v=pkqsa5-9qAI