ai

In this short take, the author argues that AI code generation doesn't actually save much time. If you have to painstakingly review and debug every line, you've just traded writing time for reading time. The real win, they argue, would come from verification: AI that can prove its output is correct, so you don't have to read it at all.

I wanted a frictionless way to talk to my Mac and paste the transcript straight into ChatGPT—without paying per minute, sending audio to a cloud API, or building a full desktop app.

Santiago revisits last year’s predictions about what the industry was supposed to look like in 2025. It’s a great example of how the saying holds up: we overestimate what we can achieve in 1 year and underestimate what’s possible in 10 years.

In this X thread Aaron Levie explains how productivity growth in various fields led to an increase in the number of employees in those sectors over a few decades. He also assumes the same will happen with AI and the entire IT industry. The democratization of knowledge and skills will enable projects to get started that once seemed unprofitable