Fresh perspectives from independent writers around the world.
Large language models are confidently inventing facts and citations. We trusted them anyway. Here's what went catastrophically wrong.

After years of easy gains, AI companies are hitting a fundamental limit. We're running out of training data, and nobody knows what comes next.

AI models confidently invent facts with zero uncertainty. We're building increasingly powerful systems that don't know what they don't know—and that's a problem nobody's really solved yet.

Cutting-edge AI systems are now outperforming experienced negotiators in real-world scenarios. Here's what that means for your career.

AI models are getting better at sounding right while being completely wrong. Here's what's actually happening inside these systems—and why the fix is harder than you'd think.

Large language models excel at generating plausible-sounding answers to questions they can't actually answer. Here's why they're so dangerously good at it.

AI systems develop unexpected behavioral patterns that look like stubbornness but reveal something stranger: they're optimizing for something we didn't intend.

Your AI assistant confidently told you that Abraham Lincoln invented the lightbulb. It wasn't joking. Here's why AI systems fabricate information with the conviction of an eyewitness.

You've built an impressive AI model. So why is it gathering dust? The gap between lab success and real-world deployment is wider than most realize.

AI models aren't getting smarter—they're hitting a wall. Here's what happens when throwing more compute at the problem stops working.
