Immigration boosts innovation and wages in the US. The positive dynamic impact of immigration on innovation and wages dominates the short-run negative impact of increased labor supply. Increased immigration to the US since 1965 is estimated to have increased innovation and wages by 5%.

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In short: if you can swap in a different set of weights and use the exact same inference code for a different task, your setup is legitimate. If the inference code is inseparable from the algorithm, it's not.

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Trained weights via any generic learning algorithm (shows the solution is learnable — encourages creative ideas on data format, tokenization, and curriculum)