I recently finished listening to the audiobook version of Number Go Up: Inside Crypto's Wild Rise and Staggering Fall by Zeke Faux. The subtitle tells it all: The book is about the craziness that was the first crypto bubble. (As Bitcoin's price hovers around $70,000, another bubble appears raring to pop.)
If I were a single-issue voter in 2024, I'd vote solely on how I felt the presidential candidates would handle antitrust cases against Big Tech, not because I think tech antitrust is America's greatest issue but because it's one of the few issues we have long-overdue positive momentum on.
So many of us love tech yet have fallen out of love with the companies which comprise the tech industry.
In a clip that starts a recent episode of the podcast Tech Won't Save Us, Sam Altman acknowledges generative AI's Achilles' heel: energy.
21st-century living is complicated. But must it be?
Since OpenAI released ChatGPT to the masses, there’s plenty of debate over where and when AI can replace human workers.
Why should we create in the age of AI? How can we compete?
Today’s target for artificial intelligence (AI) seems to be artificial general intelligence (AGI), a technology that is competent in many areas, like humans. AI is most often highly-specialized, focusing on one area with a narrow set of tasks. This sort of AI is best-suited for specialized audiences needing specialized tasks. But with AGI, the prophets of AI can achieve their dream: AI for everyone, everywhere.
These days, people are worried about AI taking their jobs. And who can blame them, with all the stories circulating about AI's great accomplishments. (P.S. If you're looking for a counterweight to the hype, read Rebooting AI: Building Artificial Intelligence We Can Trust by Gary Marcus and Ernest Davis. And subscribe to Gary Marcus's Substack while you're at it.)
I've been rethinking my relationship with technology since I started reading Digital Minimalism by Cal Newport.