Most experienced designers want concision—clear, robust, consistent, elegant systems that avoid redundancy. Concise designs are smoother to implement, faster to render, quicker to understand, and easier to hand-off and maintain. Achieving a simplicity with clarity means that you’re engaging with the fundamentals of the problem (and of your craft) at the correct fidelity. You’ve cut through complexity with insight, understanding, and committed decision-making. That third one is critical. A lot of complexity comes from an unwillingness to commit to the things that insight and understanding surface.
I really like the way that this pattern library includes research insights to provide justification for design decisions.
Spot-on take by Ted Chiang:
I used to find it odd that these hypothetical AIs were supposed to be smart enough to solve problems that no human could, yet they were incapable of doing something most every adult has done: taking a step back and asking whether their current course of action is really a good idea. Then I realized that we are already surrounded by machines that demonstrate a complete lack of insight, we just call them corporations.
Related: if you want to see the paperclip maximiser in action, just look at the humans destroying the planet by mining bitcoin.