tech, startups, internet
Who needs democracy when you have data?
MIT Technology Review tackles the fascinating subject of how China governs using data, AI and internet surveillance. | learn more
Category: tech, startups, internet
tech, startups, internet
Biohacking startup landscape.
Sam Betesh compiled a list of startups in the “biohacking” ecosystem, along with commentary on each one. I learned of some new companies and concepts thanks to this post! One of the most interesting fringe areas for me is microbiome […]
tech, startups, internet
Man jailed in Italy for writing fake TripAdvisor review.
He was sentenced to 9 months in prison and an €8k fine. TripAdvisor sees this as a “landmark ruling for the Internet.” | learn more
tech, startups, internet
Profile of Spotify and its founder Daniel Ek.
“How CEO Daniel Ek plans to beat Apple, Amazon, and Google at the music game.” | learn more
tech, startups, internet
Inside the business of dog cloning.
This is an eye-opening read, and one that reminds me that humans are on the cusp of major change in our capabilities. “At a South Korean laboratory, a once-disgraced doctor is replicating hundreds of deceased pets for the rich and […]
tech, startups, internet
How Uber Eats became a hit business.
The Information offers a free sample of their usually-paid articles, and its great! This is a thoroughly written piece sharing the story of how Uber Eats went from struggles to success. | learn more
tech, startups, internet
Using AI to fix Wikipedia’s gender problem.
Men are disproportionately represented on Wikipedia – only 18% of biographies are of women. So, software company Primer built a tool that helps serve up bios of relevant women (focused on women in science) for Wikipedia’s editors to vet and […]
tech, startups, internet
Why “Uber for X” startups failed.
VC Andrew Chen analyzes why most of the marketplace startups billed as “Uber for X market” have failed. Spot on! | learn more
tech, startups, internet
Path dependence and AI.
Rob May of Talla questions the impact of path-dependence in machine learning models. Humans definitely approach ideas differently depending on what they learned before – should machines? | learn more
tech, startups, internet
Automating industry with cobots.
“Robots in factories have historically been unwieldy, dangerous, and confined to large industrial settings. But now, smaller, cheaper collaborative robots are overcoming traditional challenges in the robotics industry, paving the way for ubiquitous robot technology that gets us much closer […]