AI – Learnings and Unknown unknowns

Below I’m going to maintain a series of bullet points that contain some things I’ve learnt or thought I’ve learnt. I expect it to stay in a state of flux for some time. The goal eventually is to have something like my software-engineering-quotes which serves as a massive summation built on years of software development experience.

  • From “Can I build a database? Peachq” presentation:
    • Code is cheap.
    • Context + validation are expensive
    • Unknowns are difficult
  • Sub-linear validation of outputs is now the engineers primary goal
    i.e. We must find a way to scale validation of the outcomes we want exponential to all other factors.
    Faster than we add people, faster than we add AIs working, faster than any factor.
  • (article)
    • Graduate jobs are doomed short-term and will have to transform to survive long term.
    • It’s no longer worth learning a new technology unless you can learn it really well.
  • (article) “Software development becomes designing the evolutionary environment instead of manually evolving the code.”
  • The target user of many software tools should now be AI and the good news is we can repeatedly test it.

Interesting Links:

Leave a comment