The Curious Engineer

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Machine Learning Everything

mleverything.substack.com

Thoughts on machine learning, programming and finance. Click to read Machine Learning Everything, by Bee, a Substack publication with hundreds of subscribers.

Tech news / industrySociety / politics / economyEssays / personal

’18’19’20’21’22’23’24’25’26
Posts
142 from 29 Jan 2018 to 30 Sep 2026
Posting
monthly (6 in the last year)
Kind
personal blog
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https://mleverything.substack.com/feed

2026 6

  1. Thoughts on Peter Thiel’s better evil than bad argument
  2. What’s a CEO worth anyway?
  3. Anti-Flock Activist Bingo Card
  4. Thoughts on the Paul Graham and Palmer Luckey Feud
  5. No, buses should not be "free"
  6. The AI Mexican Standoff

2025 11

  1. Gifted children are special needs children
  2. H-1B, medical residencies and artificial scarcity
  3. Programmable web apps
  4. Who are these new AI tech founders anyway?
  5. Don't try to take care of the world
  6. What happened to food delivery?
  7. A modest proposal for destigmatizing America's favorite bad decisions
  8. Do we really have to optimize everything?
  9. Gmail UX is a mess
  10. Tech journalists that hate tech
  11. Thoughts on Lex Fridman's interview with Marc Andreessen

2024 11

  1. Anatomy of a Fact Check
  2. In defense of legacy admissions to colleges
  3. Acceptance of crime is a policy choice (part 2)
  4. A tax on unrealized capital gains makes no sense
  5. Acceptance of crime is a policy choice
  6. US federal tax receipts have been remarkably consistent
  7. Thoughts on Joe Rogan's interview with Peter Thiel
  8. Don't play status games
  9. What do AI doomers want?
  10. Why is no one talking about the danger of sentient text-to-image models?
  11. Journalism as Activism

2023 9

  1. GPT is pretty good at explaining memes
  2. Michael Lewis, FTX and Effective Altruism as a MacGuffin
  3. Paul Graham on the Conversations with Tyler
  4. Neil deGrasse Tyson is a terrible spokesperson for scientists
  5. We should just let GPT write Black Mirror from now on
  6. AI doomers, a plausible apocalyptic scenario and doomerism as a religion
  7. Thoughts on A.I. Dilemma: Part 1
  8. Thoughts on Lex Fridman's interview with Sam Altman
  9. The term "AI safety" is overloaded

2022 19

  1. The case against effective altruism
  2. Using ChatGPT to Explain Jokes
  3. What are upcycled strawberries anyway?
  4. An update on New Jersey's paper bag ban
  5. Cancelling student debt is essentially printing money
  6. Elon Musk, John Carmack and Gatekeeping Engineering
  7. I miss Facebook
  8. Inflation and Government Digital Currencies
  9. New Jersey bans paper bags
  10. Why is every consumer startup trying to sell me what I already own for 10 times the price?
  11. The idea of uploading consciousness is misdirected narcissism
  12. Steve Jobs talk from 1983
  13. He's probably going to run again
  14. Thoughts on Lex Fridman's interview with Mark Zuckerberg
  15. Elon Musk added me to his list
  16. What's the point of f you money if you never say f you
  17. Where did the $12 trillion of covid spending go?
  18. What happened to broadcast news?
  19. Thoughts on the Solana Blockchain

2021 41

  1. Thoughts on Lex Fridman's interview with Pfizer CEO
  2. Taxing unrealized capital gains and shifting marginal tax brackets
  3. Cathie Wood, inflation and velocity of money
  4. NFTs and commercial rights to the underlying art
  5. Facebook and Corporate Name Changes
  6. Journalism shouldn't be so professionalized
  7. What if prices went down over time?
  8. What would government censorship of speech look like?
  9. Federal regulators, narrow banks and Coinbase
  10. Military adventures and skin in the game
  11. Why does NBC make it so difficult to watch the Olympics?
  12. America's failing schools
  13. Americans aren't willing to pay to stop climate change
  14. The "success isn't based on hard work" crowd
  15. Crypto decentralized finance
  16. Where did the $12 trillion of covid spending go?
  17. Where did the $12 trillion of covid spending go?
  18. Bernardo Kastrup on idealism, search for meaning and the religion of AI
  19. Where did the $12 trillion of Covid spending go?
  20. Nassim Taleb, Inflation and Markovian Prices
  21. Nassim Taleb on Bitcoin
  22. Where did the $12 trillion of covid spending go?
  23. Use your world view to your advantage
  24. NFTs, ICOs and the abuse of language
  25. Where did the $12 trillion of Covid spending go?
  26. Where did the $12 trillion of covid spending go?
  27. Where did the $12 trillion of covid spending go?
  28. Where did the $12 trillion of covid spending go?
  29. The magical 4 day work week
  30. Performance of Gold Since the End of the Gold Standard
  31. No one gets rich off diversification
  32. The Phony Substack Controversy
  33. Garden of Forking Paths in the Research Papers
  34. Why is the English Monarchy still a thing?
  35. When did writing in major newspapers become so bad?
  36. Consciousness as Compression: Part 2
  37. Gambling versus Investing
  38. Consciousness as Compression: Part 1
  39. When did "privacy issues" start to mean "too much privacy"?
  40. comma.ai, self-driving cars and indefinite optimism
  41. Migrating from Medium to substack

2020 9

  1. How to spend 100x more money on self-driving and still lose
  2. George Hotz on Tesla, Waymo and the self-driving industry
  3. The Beautiful, Dark, Twisted, GPT-3 Generated Nassim Taleb Aphorisms
  4. Demo Apps and Building a Business off GPT-3
  5. Using GPT-3 to Explain Jokes
  6. On The Intelligent Investor: Part 1 — Importance of Industry Selection
  7. Analyzing US Senator’s Stock Picks
  8. Optimal Bet Size Using Kelly Criterion
  9. Buying a Home in the US is Increasingly Attainable

2019 13

  1. How Renaissance Technologies Solved the Market: Part 3 — Incentives
  2. How Renaissance Technologies Solved the Market: Part 2 — Hiring Academics
  3. How Renaissance Technologies Solved the Market: Part 1 — Pipeline
  4. Word Crossword Search in Typescript and React Part 1
  5. Artificial General Intelligence as a Modern Day Spiritual Conjuring
  6. How Facial Recognition Works Part 4, Comparing Congressmen to Mugshots
  7. How Facial Recognition Works Part 3, How a Face Changes Over 10 years
  8. How Facial Recognition Works Part 2, Facial Landmarks
  9. How Facial Recognition Works, Part 1: Face Detection
  10. Scala’s Case Class in Python with Case Matching
  11. Facebook Derangement Syndrom and Libra
  12. Calculating the Probability of Skittle Distribution by Brute Force
  13. Building an Object Detection API with AWS S3, Rekognition and Lambda

2018 23

  1. Predicting the Stock Market, p-Hacking and Why You Should Be Bullish
  2. Using ESPN Forecasts to Make Draft King Final Fantasy Football Picks
  3. Generating Letters using Generative Adversarial Networks (GANs)
  4. Another `Variational Auto Encoders Explained` Post and Character Encoding
  5. Using Linear Regression to Make Fantasy Football Picks
  6. AI, Optimists vs Pessimists and Why The Singularity Isn’t Near
  7. Using Python and Linear Programming to Optimize Fantasy Football Picks
  8. Ranking Reddit Bots, Lambda Database Architecture and a File Systems as a Database
  9. Reddit Bots, Drinking from the Fire Hose and Image Colorization
  10. Lisp, Floating Points and Muller's Recurrence
  11. OpenCalc - React Native - Deep Dive (Part 2)
  12. OpenCalc - React Native - Deep Dive (Part 1)
  13. A Free Open-Source iPad Calculator and Why Your App Won't Make You Any Money
  14. Offline Object Detection and Tracking on a Raspberry Pi
  15. How to (actually) easily detect objects with deep learning on raspberry pi
  16. Everything you’ve ever wanted to know about New York City’s restaurant ratings
  17. Nassim Taleb, Loaded Questions and Statistics for Hackers
  18. Nassim Taleb, Absorbing Barriers and House Money
  19. Reinforcement learning with sparse rewards
  20. Learning from pixels and Deep Q-Networks with Keras
  21. Policy Based Reinforcement Learning with Keras
  22. Evolutionary Learning Models with OpenAI
  23. Tic-Tac-Toe and Connect-4 using Mini-Max