Topics for writing

was thinking about using substack, but i don't think i am at the point of being able to monetize my own content, but we'll see.

however, i *was* thinking about doing a series of posts on consciousness, qualia and computation. something like a walkthrough for strategical thinking regarding those problems, where, how and why current methods fail, what needs to be done next and improved etc, a step-by-step, systematic thinking about the very hardest problems of science:

• why does the scientific method fail
• improving scientific method
  • computational approach to unifying two theories
  • escaping the subjectivness and bias (i.e. claiming objectivity)
  • automatically deriving theory from data
  • exploring extensions of a specific theory
• higher levels of popular algorithms
  • algorithm that has scientific method as an emergent consequence (and not a direct goal)
  • algorithm that has optimization as an emergent consequence (and not a direct goal)
  • algorithm that has evolution as an emergent consequence (and not a direct goal)
  • algorithm that has behavior of least action as an emergent consequence (and not a direct goal)
• the hard problems (tweet)
  • computational irreducibility / taming complexity
  • taming chaos / pattern vs random
  • deterministic vs indeterministic
  • computation++ (extending computational models)
  • compilation as fundamental process for learning
  • proof systems
  • taming entropy
  • qualia
  • extending scientific method
  • discrete vs continious (finite vs infinite)

some additional interesting topics:

• limited bandwidth and cognitive capacity of humans - problems of discovery and chaos
• computational entrepreneurship
  • basic framework
  • product design
  • pitch deck
  • marketing
  • complexity and hierarchies
  • why it's okay to make mistakes
  • why experience matters
  • why everyone in the team matters
• business model of academia and how to fix it
• modular (product) design
• equalizing space and time constraints in computation
• injecting computer into the program encodings in computation