Fresh perspectives from independent writers around the world.
AI hallucinations aren't bugs—they're a fundamental flaw in how neural networks work. Here's what's actually happening inside the black box.

Large language models are becoming more confident liars. Here's why AI systems confidently invent facts and what researchers are actually trying to do about it.

Why Claude and ChatGPT struggle with arithmetic after learning language patterns, and what researchers discovered about the mathematical blind spot hiding in plain sight.

AI models excel at predictable tasks but catastrophically fail at edge cases. Here's why your ChatGPT queries sometimes get embarrassingly wrong answers—and what it reveals about artificial intelligence itself.

Every conversation with an AI starts from scratch. Here's why the 'context window' is AI's biggest limitation and what engineers are doing to fix it.

Large language models don't know what they don't know. They hallucinate facts, confuse dates, and invent sources—all while sounding completely certain. Here's what's actually happening inside their black box.

AI systems in healthcare are confidently inventing symptoms and diseases that don't exist. Here's why this is happening and what hospitals are actually doing about it.

AI systems don't actually understand context like humans do—they're statistical pattern-matching machines. Here's why that matters for chatbots, content creators, and everyone else.

AI systems confidently invent facts and false citations all the time. Rather than just viewing this as a bug, researchers are discovering what these 'hallucinations' reveal about how artificial minds actually work.

Neural networks don't just make mistakes—they construct elaborate false realities and defend them fiercely. Here's what happens when AI systems hallucinate so confidently that they convince their own training data.
