Jason Snyder
The $242 billion bet on artificial intelligence this quarter has a problem nobody wants to name: It's making us all agree.
Every major AI system on the market was trained on the same internet, optimized by similar processes and rewarded for producing answers that people rate highly. Which means they are all, at a structural level, converging on the same conclusions. You are not getting multiple perspectives when you consult multiple AI tools. You are getting the same perspective, wearing different fonts.
This is not a glitch. It is not a temporary limitation waiting to be solved by the next model generation. It is a structural property of how these systems work. And the sameness it produces is spreading well beyond the tools themselves, into the writing we publish, the decisions we make, the ideas we think are our own.
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