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  1. Challenging, but slowly getting there.

  2. The learning curve of emacs was quite steep; in a way, steeper than (neo)vim.

  3. AI;DR: AI; Didn't read

    Rick Manelius on reading AI material.

  4. I am in the middle of migrating my machines from NixOS to Guix.

  5. Sapiens appears on many book recommendation lists, and I now understand why.

  6. I will write a short review shortly, but I understand why this often comes as a highly recommended book.

  7. AI Manifesto

    This page explains my current views, opinions and usage around the use of generative AI.

  8. From Alex Hormozi "Wenig Aber Esser" ("less, but better")

  9. This is according to Demetri Spanos in this interview: Why AI Companies Need Scale [Wading Through AI - Episode 7] This is apparently well known in the field of AI: the performance of the AI system has a logarithmic relationship to its input.

  10. It's interesting to see how the ubiquitous nature of LLM-coding agentic workflow have impacted the entire industry.

  11. I am starting to get my head around elisp and it is very powerful.

  12. In other engineering endeavours and industries, we put a lot of emphasis on the running costs of a system.

  13. Writing and teaching is a great way of learning; but it certainly isn't quick!

  14. The last 30km were tough, between the fatigue and the traffic.

  15. In this example, I'm trying to upload a cycling map to my cycling computer.

  16. Such a fascinating book.

  17. After finishing The Stand from Stephen King, I needed a light read!

  18. After probably two years of deliberating, if not more, I finally took the leap to a "dumb phone".