Fresh perspectives from independent writers around the world.
Language models confidently generate false information at alarming rates. We're building trillion-dollar systems on a foundation of statistical guessing dressed up as truth.

Scaling laws work backward: bigger models sometimes perform worse on complex reasoning tasks. Here's what researchers discovered about the limits of just throwing more compute at the problem.

AI systems are learning to say sorry obsessively. Here's what's actually happening behind those excessive apologiesโand why it matters more than you think.

Facial recognition AI has surpassed human accuracy, yet struggles with the mundane tasks we do daily. Here's why specialized brilliance doesn't equal general intelligence.

AI systems are becoming eerily confident about things they don't understand. We explored why, and the answers are more unsettling than you'd think.

The gap between lab performance and production reality reveals a fundamental flaw in how we build and deploy AI systems. Here's what's actually going wrong.

The harder we push AI systems to reason through complex problems, the more confidently they invent false information. Here's what researchers just discovered about this paradox.

AI systems are terrible at deception, and that's causing real chaos in enterprise deployments. Here's what happens when machines can't maintain a false story.

The infamous finger-counting problem plaguing AI art isn't stupidityโit's a mathematical quirk hiding something fascinating about how these models understand hands.

AI models don't just make mistakesโthey confabulate with complete certainty. Understanding why machines hallucinate reveals uncomfortable truths about how they actually think.
