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jgust | 3 years ago

Let's assume that GPT eliminates an entire field of experts, runs out of training data, and whoever is at the helm of that GPT program decides that it's lucrative enough to obtain more/better data. One alternative is subsidizing these experts to do this type of work and plug it directly into the model. I don't expect the nature of the work to change, more likely it's the signature on the check and the availability of the datasets.

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