Thanks to our capacity to adapt to ever greater fame and fortune, yesterday’s luxuries can soon become today’s necessities and tomorrow’s relics.
Excerpt from The Funds, Friends, and Faith of Happy People by David G. Myers.
This past long weekend (thanks, Easter break) I dug into an idea I had knocking around. I read Hacker News religiously and the lengthy comments sections can be as insightful as the articles they reference. However, the most interesting stories on Hacker News often have too many comments to digest.
I learned to code the old-school way: I bought a Python textbook and went through examples and exercises, page by page, writing all the code from scratch. Today, we have AI agents writing code for us. I often use Cursor and LLMs to rapidly generate snippets or whole sections of
Today, I read two contrasting articles. One posited that we are near the peak of investor hype in Gen AI. It argued that productivity gains from this new technology will be incremental rather than transformative. Another article suggested the opposite. It made the distinction between good bubbles and bad bubbles,
I've been working on some exceptionally long LLM prompts for a couple of projects at work. I've noticed a fascinating phenomenon: A prompt that works well with one model can diverge in performance when applied to another. This presents switching costs for developers and businesses. You