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One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.

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Why do I, my mother-in-law, and Nava all knock on wood? None of us really know. Perhaps it’s a legacy of the Bronze Age; perhaps it’s a meme from Victorian Britain. What is certain is that it’s not something a robot with an LLM-based brain is going to do habitually, just as robots will never share in mental frameworks deriving from quirks of our physical architecture, like handedness.

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