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The alarm comes from changes in the way taxpayers’ money is invested by UK Research and Innovation (UKRI), which recently published its plan on how to disburse £38.6bn of public research and development funding over the next four years. Change is always unsettling, and as the UKRI’s chief executive, Ian Chapman, says, there will always be those who lose out when change happens. Difficult choices must be made.

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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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