Fresh perspectives from independent writers around the world.
AI systems excel at sounding certain about things they barely understand. Here's what's really happening behind the scenes—and why it matters more than you think.

Language models are masters of sounding certain while being completely wrong. Here's what's actually happening under the hood when AI hallucinates.

Machine learning models are literally remembering your data instead of learning patterns. Here's why that's a bigger problem than anyone admits.

AI systems are now generating humor that humans find genuinely funny—but understanding why reveals a troubling gap in how we actually understand machine intelligence.

AI systems are developing uncertainty quantification—the ability to admit when they don't know something. It's changing everything about how we can trust machine intelligence.

AI models are confidently fabricating sources and citations at scale. Here's what's actually happening inside their neural networks—and why it matters more than you think.

Context windows are shrinking, attention spans are breaking down, and AI is forgetting critical information mid-conversation. Here's what's actually happening inside your model's memory.

AI models decay faster than milk left in the sun. Here's why your cutting-edge system from last year is already showing its age, and what you can actually do about it.

Your AI model was accurate yesterday. Today, it's making bizarre decisions. Here's why your machine learning system slowly becomes a liability, and what savvy companies do about it.

AI recommendation systems are confidently steering users wrong. Here's the surprising reason why—and what companies are finally doing about it.
