
From pessimism around dating to AI reshaping culture, cyber-ethnographer Ruby J. Thelot tells WIRED why people are putting too much stock into things that go viral.
A cyber-ethnographer argues that people misunderstand online trends because they confuse virality with genuine cultural adoption. The internet has become "balkanized" into separate digital islands where content can be engineered to go viral without reflecting real mainstream interest or staying power. Examples like recent trend terms that "broke containment" and past failed predictions around certain technologies illustrate how metrics like view counts have become targets in themselves, disconnected from actual cultural value. Understanding trends now requires looking beyond viral metrics to distinguish between temporary engagement and lasting cultural phenomena.

When Twitch announced that streamers could opt out, thousands of users questioned why their content was being used to train AI models in the first place.

Tim O’Reilly built a publishing empire that AI is helping to destroy. Yet he loves AI—as long as it’s open source.

A judge has identified what appears to be the first time a US plaintiff has attempted to hide text in court filings that only an artificial intelligence system can read in a bid to win a case. In a decision published last week, Connecticut judge Walter Spader Jr. confirmed that the hidden text had no impact in a case where a man alleged a healthcare provider was improperly withholding access to records. The court weighed his filing on the merits, Spader said, but nevertheless, the attempted atta
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