Review David Hilbert’s 23 foundational mathematical problems from 1900 and the contemporary Millennium Prize Problems. While many are solved, the Riemann Hypothesis remains a major challenge with a million-dollar bounty for anyone who solves it.
I share what I learned this week about extracting web pages with Trafilatura, exposing my laptop to ChatGPT, using voice mode as a tour guide, and easing LLM fatigue, plus corrections to six mistakes.
I explain why Tetris is NP-Hard by defining P and NP complexity classes in plain English. I use simple analogies like addition and primality testing to show how computational difficulty scales as problems grow larger.
I’ve found that recruiting for startups requires hunting smart people in their natural clusters like GitHub or meetups. Since they're motivated by hard problems and autonomy, I suggest managing them like a community of volunteers rather than employees.
Apply the 37% rule to solve optimal stopping problems like hiring or dating. Scan the first 37% of your options to set a baseline, then choose the next candidate that outperforms everyone you previously evaluated.