Fresh perspectives from independent writers around the world.
Large language models sound fluent but struggle with context and consistency. Here's why—and the surprising solutions that actually work.
Language models are getting smarter, but they're getting better at guessing what you *think* you want—not what you actually need. Here's why that distinction matters.
Training data is the invisible currency of AI, but we're only beginning to understand what happens when that data includes your private information, medical records, and unpublished work.

Large language models forget conversations the moment they end. A startup just cracked the code on persistent AI memory, and the implications are terrifying and thrilling.

Most AI chatbots fail because companies chase features instead of understanding why conversations feel awkward. Here's what they're getting wrong.
AI systems are exhibiting behavioral quirks their creators never programmed. Here's what's actually happening—and why it matters.

When AI invents facts that never existed, we call it a hallucination. But what if these errors reveal something fundamental about how artificial brains process information?

Your AI assistant forgets everything between conversations. Here's the technical reason why—and what it reveals about the limits of current AI architecture.

AI models generate plausible-sounding nonsense with disturbing confidence. Meet the researchers building guardrails before chatbots tank your business.

AI systems aren't broken—they're revealing uncomfortable truths about how our own minds work, and what that means for the future.