OpenAI spent more on marketing last year than McDonald's, Toyota, and Coca-Cola. They still lost $21 billion. Business reality is about to set in.

AI companies going public are demanding trillion dollar valuations. The accuracy of their LLMs' answers is still unknown.

Which one is better? Closed or open AI model? Every AI company dodges the same question: Where did the training data come from?

AI-generated code creates new bugs. AI fixes them. Humans are left cleaning up the mess.

Copilot, Cowork, Companion. Different names for the same reality: AI still can’t be trusted.

AI never asked to run anything, yet we’re forcing it to, while it still warns us that it might hallucinate. We are calling it names like 'boring,' yet we want it to do everything within 6 years.

Billions of dollars, terrabytes of data, years of training, and the best minds in AI...and it still couldn’t manage a vending machine.

Search results used to be links. Now they’re AI blurbs that feel “good enough.” And no one goes to the source.

We taught people how to talk to AI. Now we’re trying to set up a blind date for AI models to talk to each other. What could go wrong?

AI is everywhere, but how are companies actually using it? In some cases, the results actually do seem to be catching up to the hype. Your own results may vary. The hype is still covering up for the growing pains.