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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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Anthropic's quotes in an interview with Time sound reasonable enough in a vacuum. "We felt that it wouldn't actually help anyone for us to stop training AI models," Jared Kaplan, Anthropic's chief science officer, told Time. "We didn't really feel, with the rapid advance of AI, that it made sense for us to make unilateral commitments… if competitors are blazing ahead."
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「這問題並不是一目了然的，也不會有什麼全國教會普查能讓我們一次性給出定論。」
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