• Fixing takes effort but things can indeed be fixed. However, never look to fix what is not yet broken. A system stuck in assessment cannot perform. Do minimal fixing and move on. Rather than risk management try to be antifragile.

  • Messy learning on the go is the best way to get good. The right attitude is more important than experience.

  • Ideology, individuals, institution and incentives; things to look for which judging any system. Ideaology must be malleable but not too easy to change. Individuals must not be bigger than the institution. Inceptives for the individuals should not be at a contradiction with that for the institution.

  • Quality matters more than quantity. Take lite on a lot of stuff, think deeply about some. Another example of the barbell in work.

  • Write code like you write fiction, and programming as theory building. Don’t outsource thinking. Ab initio, nullius in verba.

  • What are some good ideas to work on?

    • Intersection of intelligence, robotics and materials.
      • Mobile robotics: mining landfills, material recovery in harsh environments, mining asteroids, optimise and automate fixing (maintain), operating (run), forging (build).
      • Mobile factories (build, run, maintain): build space factories, etc.
    • Security and cryptography that leads to democratization.
    • Data mining.