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Ethan MollickUpdated Oct 30 14:27

Historian builds neuron atlas for Talkie-1930

AI summary

Ethan Mollick noted that there have recently been many interesting experiments involving activating individual neurons in open AI models and locking them into specific personas. Historian @ResObscura tried the same method on a model trained only on pre-1930 data, with interesting results; he himself said that, inspired by recent persona research from @Sauers_, @jfonsecarivera and others, he built a partial neuron atlas for Talkie-1930, the historical language model created by @status_effects and @AlecRad.

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Benjamin Breen

@ResObscura

Inspired by @Sauers_ and @jfonsecarivera and other fun recent work with personas in AI models, I built a partial neuron atlas for Talkie-1930, the historical language model created by @status_effects and @AlecRad. Here's the link: https://t.co/ROz61DW4RW https://t.co/8RvqEsx5K0

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Inspired by @Sauers_ and @jfonsecarivera and other fun recent work with personas in AI models, I built a partial neuron atlas for Talkie-1930, the historical language model created by @status_effects and @AlecRad. Here's the link: https://t.co/ROz61DW4RW https://t.co/8RvqEsx5K0

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There has been a bunch of really interesting experiments with activating individual neurons in open AI models, locking them into particular personas.

Here historian @ResObscura tries the same trick with a model trained only on data before 1930, and the results are delightful. https://t.co/mSZTlfZW9U

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Ethan Mollick