18版 - “轻重”思想的历史启示(跟着历史学经济)

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“We’ll have roughly about the same number of people we have today,” he predicted at Fortune’s Brainstorm Tech conference in September. “What we’re trying to do, and what I think we’re very confident we can do, is get people’s time focused back on the items and the issues that are the highest value add for them.”

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Separately from the moral and ethical concerns, the legal landscape around AI is complicated and rapidly evolving. In the US, there are a number of relevant lawsuits wending their way through the courts attempting to adjudicate the limits of fair use around AI training. There have been a number of agreements between publishing companies and AI manufacturers, many of them private. The EU’s AI Act is beginning to impose transparency requirements on training data provenance.

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