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  1. 583 active days and 14,111 XP: my Math Academy progress, with XP-equivalent time and an estimate of actual study time.

  2. Being in control of your coding LLM is crucial, but control has a price.

  3. Bulls and bears agree the technology is real—they disagree on the clocks.

  4. Pressing go: watching 1+1 run on the machine, tick by tick, until the ALU produces the 2 and it lands in the memory cell that is x.

  5. How instruction bits are wired straight into the machinery: the program counter, the anatomy of an instruction, and memory-mapped I/O.

  6. How a clock and the data flip flop give a pile of logic gates time and memory: registers, RAM, and the heartbeat of the machine.

  7. Following the 1s and 0s into hardware: adders built from logic gates, every gate built from NANDs, and the transistor at the bottom.

  8. How 1+1 in a high-level language is ground down into binary machine code: compiler, VM translator, and assembler.

  9. A new paper proves that sycophantic LLMs cause users to spiral into false beliefs — even perfectly rational ones.

  10. Interactive treemaps showing LLM exposure for every occupation in the Netherlands and Europe, inspired by Karpathy's US job market visualizer

  11. An interactive unit circle tool for building intuition instead of memorising trig values

  12. Building a computer from NAND gates to a working OS

  13. How I overcame my fear of mathematics and fell in love with learning again

  14. How I made this website

    How I made this website with Cursor.

  15. Why I believe cryptocurrencies and blockchain technology are bad for society.

  16. A thought experiment exploring whether adding a 'craft master' role to Scrum could empower developers.

  17. A workshop on systems thinking presented at the MiXiT conference in Lyon.

  18. A curated list of books, websites, tools, videos and courses on systems thinking.

  19. Lessons learned from co-founding and running Glio, a small software consultancy.

  20. An alternative to fixed bid and time-and-materials contracts for software projects: fixed budget, scope controlled.

  21. Real failure hurts.

  22. A review of the book Exploring Everyday Things with R and Ruby — a fun whirlwind tour of using Ruby and R to prod at a variety of problems.