Fresh perspectives from independent writers around the world.
AI systems excel at pattern matching, but when it comes to deception, they're surprisingly terrible—and their transparency might be more dangerous than dishonesty.

Bigger AI models aren't always smarter. Discover why throwing more compute at the problem sometimes makes things worse—and what researchers are doing about it.

AI assistants are terrible at understanding tone, context, and nuance. Here's why—and what leading companies are doing to make them less awful.

As language models grow larger, they're becoming more confidently wrong. The culprit? The data we're feeding them is broken in ways we're only now beginning to understand.

Large language models sound authoritative even when completely wrong. Here's what's actually happening inside their digital brains and what you should do about it.

Your AI model says it's 99% confident. Should you believe it? New research reveals why confidence scores are dangerously misleading—and what's being done about it.

AI systems are getting better at mimicking empathy, but something feels off. We explore why artificial warmth often triggers unease instead of connection.

AI assistants are trained to be excessively polite. Here's how that reflects our deepest assumptions about service, gender, and power.
As language models grow larger and more capable, they paradoxically become better at confidently inventing false information. Here's what's actually happening inside the black box.

AI systems confidently invent statistics that sound plausible. Here's what's actually happening inside these black boxes, and why it matters more than you think.
