The value-alignment problem is already very real

Something we think a lot about at SharpestMinds is how to create an incentive structure that aligns our business goals with the goals of our users. This has led us to embrace income share agreements as a central part of our business model. The ethical implications of AI is something I also think a a … Continue reading The value-alignment problem is already very real

Deep Work (highlights)

My Kindle highlights from Deep Work by Cal Newport Deep Work: Professional activities performed in a state of distraction-free concentration that push your cognitive capabilities to their limit. These efforts create new value, improve your skill, and are hard to replicate. A 2012 McKinsey study found that the average knowledge worker now spends more than … Continue reading Deep Work (highlights)

Physicist to Programmer: bottom-up vs. top-down learning

Two years ago I left a PhD in physics, joined a startup, and taught myself to be a software developer. I had to radically alter the way I learned and approached problems. An education in physics is very much a bottom-up approach. Before you can grasp the intricacies of electromagnetism, quantum mechanics, and general relativity, … Continue reading Physicist to Programmer: bottom-up vs. top-down learning

Why you Should Quit While You’re Ahead

'"Quit while you're ahead" is an effective strategy for forming new habits when it is applied locally rather than globally. I don't mean quit a habit once you're good at it, but quit practicing in specific instances while your enjoyment or satisfaction is high, e.g. stop writing while you still have momentum. There are psychological … Continue reading Why you Should Quit While You’re Ahead