Five Sandbox Projects This Week
At an AWS security symposium in Manhattan, I expected caution. What I found was a room full of security leaders urging their audiences to build faster.
At an AWS security symposium in Manhattan, I expected caution. What I found was a room full of security leaders urging their audiences to build faster.
The Axios CEO wrote a letter to his family pleading with them to engage with AI. A tech analyst built an 11-tab financial model in 10 minutes. Both videos landed the same point.
Blocking AI crawlers is the new default. I think that's backwards. Here's the case for permissive access—and how to make your site AI-friendly.
AI APIs go down. If your product depends on one, you need a plan for when it doesn't respond.
AI companies are collectively losing tens of billions of dollars per year while charging consumers and businesses prices that don't cover costs. The Uber playbook suggests those prices won't last — but the history of computing suggests something more nuanced.
You don't need to be a software engineer to build applications with AI. These are the things I'd want to know if I were just getting started.
At the World Economic Forum, AI luminaries debated AGI timelines, Nvidia's CEO called for trillions more in infrastructure spending, and the IMF warned of a job market 'tsunami.' Meanwhile, Trump claimed the U.S. leads China 'by a lot.'
A conversation with colleagues made me realize I'd internalized a workaround for AI's lack of memory without ever thinking about it.
With over 1,000 FDA-cleared AI tools and a looming radiologist shortage, AI has become unavoidable in medical imaging. Here's what actually works, what doesn't pay for itself, and what clinical and IT leaders need to know.
Data centers will consume 70% of all memory produced in 2026. The shortage is now hitting cars, TVs, and appliances—and manufacturers are already selling 2028 capacity.