AI Brain Fry Is Real. Now There's Data to Prove It.
New research from BCG and UC Riverside puts a name and numbers on what heavy AI users already know: the exhaustion isn't burnout. It's something else.
New research from BCG and UC Riverside puts a name and numbers on what heavy AI users already know: the exhaustion isn't burnout. It's something else.
Anthropic filed two federal lawsuits today challenging the Pentagon's supply chain risk designation. The legal arguments are stronger than the politics suggest.
A radiologist asked me to price out the same compact workstation he bought last May. The price had tripled. Even the best alternative I could find was 59% more than what he paid ten months ago.
Senate Bill S7263 would hold AI companies liable when chatbots provide responses in 14 licensed professions. The bill's language is broader than the headlines suggest—and it's the wrong approach at the wrong time.
I've supported the winning candidate in every general election since 2000—including Trump twice. That ends now. I will not support Trump or anyone aligned with him after the federal government threatened to destroy an American company for having principles.
Defense Secretary Pete Hegseth is threatening to blacklist Anthropic for refusing to remove safety guardrails from Claude. As a daily Claude user, I have thoughts on why the government shouldn't be strong-arming AI companies into building unrestricted weapons.
What started as a SaaS panic has consumed IBM, Visa, Mastercard, and consulting giants. A viral research report, Nassim Taleb, and a New York Times essay are all saying the same thing: the repricing is structural.
A colleague mentioned he built his own digital transcriptionist in minutes. I followed suit — and now I have better meeting notes than ever.
AI is making us more productive than ever — and more drained than ever. The research is starting to explain why.
Geoffrey Hinton said in 2016 that we should stop training radiologists. A decade later, demand is at record highs, compensation is strong, and half of open positions can't be filled. Here's what AI is actually doing in radiology.