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"All models are wrong. Some are useful."
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Thursday October 29, 2026 · 12:10 PM · Talk
Key ideas from the talk
- Futures work aims to widen the cone of possibilities from the probable and plausible out to the preposterous, so people can define preferable futures.
- He prefers "future curious" to "future proof". A language model does not change its weights after reading, and curiosity here means the willingness to be changed.
- He treats generative AI as a media format and urges model literacy. Ask how a model is wrong and how it is useful, as with any medium.
- AI is made of people: the training data, the design decisions and the underpaid workers who tag data and moderate content.
- He defines intelligence as modeling a system and updating the model. Pre-trained LLMs do this poorly.
- He forecasts a desktop modeling revolution, comparing it to desktop publishing. The main shareable form of collaborative intelligence would move from documents to models.
- His own uses include a Claude model of an innovation center that does not exist yet and a chatbot version of himself loaded with his talk data.
Quotes
- "No one can predict the future. Don't believe anybody that tells you they can predict the future."
- "If you think you know what's going to happen, you're most likely going to miss what's actually happening."
- "Our brains are wired to think about everything that's happened to us in the past, create a mental model of the world, and we project that into the present and also into the future."
- "AI is made of people. It's made of humans."
- "I think we're living in the age of models and model making and model sharing."
- "I believe that we're on the cusp of a desktop modeling revolution."
- "Language models are not the world; they're a model of the description of the world."
About the speaker