3-1d6 Constraints in the form of consistent style leave space for creativity and progress

“To practise order and system requires steady adherence to a given plan until the order of events becomes unconscious. With training one observation follows another without any effort and a glance will do what formerly took repeated observations.” – Thomas McCrae

Next:

• 3-1d6a Consistent style allows cognitive offload with regard to everything unrelated to the problems at hand
• 3-1d7 ‘Escape velocity’ - Little expressivity goes long way

Related:

• Constraints usually lead to massive creativity, and little expressivity goes long way.

  • 10-2g2c1 Symbols are universal. Being arbitrary and contingent means it can represent anything, and do everything.

• 10-1b1 It is the body that learns - ‘考えるな. 感じろ.‘

• 3-1c3d0 Break down into mini-projects, they become more actionable because they are less scary than bigger ones

• 1-2g New theory is constrained in terms of what it can say, since it must either be consistent with existing theories, or contradict them but address the problems thereby raised

• 1-2g2 New theory in turn constrains what the low-level theories could be

• 3-1d Consistency requires consistent constraints

• 3-1d2 The problem of what problems to solve includes the problem of deciding which tools-frameworks (e.g., tech stack, writing medium, criteria, objective, goals, exercise protocols) to use and improve upon

• 9-4c Someone who never writes has no fully formed ideas about anything nontrivial

• 3-1c3d1 Well-defined mini-projects can be recycled. Your future self won’t have to repeat himself for similar project.

• 7-1a2b For startups, growth is a constraint much like truth

• 5-1b4c Exponential growth feels flat in the beginning, precisely why it’s worth making an extraordinary effort to get it started. You can also follow the Fun Criterion (the latter likely exhausts the former). Consistency is the key.

• New explanations are to be judged by how many more problems they solved and introduced. It has to be consistent with your web of ideas, or they have to solve more than introduced. You have to know your web of ideas.

• New theory is constrained in terms of what they can say, since it must either be consistent with existing theories, or contradict them but address the problems thereby raised. In short, new theories have to solve more problems than existent ones.

• 10-2g1b1 Scientific discourses are less fallible because the fundamental theories of physics are exceedingly hard to vary

• 9-4b2a1b Build the Idea Maze - Explain the history around an idea, and why yours is a good one. Virtually render the history of the evolution of that idea.

• RUL3 - When automating, make sure the initial constraints and requirements are not stupid-dumb-bullshit.

Additional high-level theories place more and more constraints on what the low-level theories could be. And that’s how fine-tuning problem must be approached. The principle of the universality of computation and testability (or Constructor Theory) might provide an answer.

In short: show up.
https://seths.blog/2010/12/the-first-rule-of-doing-work-that-matters/

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