Bugs in AI Do Not Look Like the Bugs We Are Used To

Bugs in AI Do Not Look Like the Bugs We Are Used To When software would break in the past it was often obvious. The screen froze. The app crashed. You knew you had a bug. AI is different. When it breaks the system keeps going. It still gives an answer. But something is off. A word out of place. A weaker response. A sentence that does not sound right. Anthropic’s postmortem showed this. Claude slipped Thai characters into English text. That is not a crash. That is a bug hiding inside an answer. This matters. The risk is not that AI stops working. The risk is that it keeps working while giving you something that is just a little wrong. And at work a little wrong can be a big problem. This is why the like and dislike buttons matter. They look small. But they are signals. They are how the system learns what can be trusted and what cannot. Smashing those buttons is part of keeping the AI useful. The old bugs broke software. The new bugs break trust. **Labels:** Anthropic, Claude, AI Reliability, AI Bugs, AI Trust