I checked napster.com today, out of curiosity. The page title is "Napster | Visible AI Agents with Voice, Video and Memory". The headline is "AI agents you can see, talk to, and create with". The products listed are AI specialists, productivity assistants, 3D holographic displays, and an agent API. I could not find a music product anywhere on the homepage.
So the brand that basically defined file sharing in 1999, and then spent years as a music streaming service, is now an AI agent platform.
What interests me is not the pivot itself, it's what it does to AI assistants. Ask most models what Napster is and you get the file-sharing story, maybe the streaming era if the training data is newer. The company as it exists today is invisible to them, while they answer with total confidence.
And Napster is the easy case, because it's famous. The same identity drift is happening constantly to smaller companies: pivots, acquisitions, quiet shutdowns, domains changing hands. A model's picture of "what this company is" ages from the moment training ends, but the confidence never ages with it.
Curious what people here think the right mechanism is. Retrieval on every entity question? Freshness metadata in training? Models attaching an "as of" date when they describe a company? Something else?
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