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In one of the earliest estimates, the Center for Strategic and International Studies reckoned that the U.S., in the war’s first 100 hours, spent a total of $3.7 billion, including $3.1 billion on replacing munitions—and that 95% of that number wasn’t budgeted, hence amounting to an added expense for taxpayers. But on March 5, congressional sources told MS Now that the Pentagon put the number for the first 48 hours at $5.6 billion, a bill that covered only munitions replacement and didn’t include operating costs for the likes of aircraft and destroyers. Using the CSIS analysis, it would appear that the additional costs reached several hundred million dollars, bringing the total for the opening two days to $6 billion or more.

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“First to market is worth a lot,” Altman says finally. “We had that with ChatGPT.” But the time is right for OpenAI to lean into coding, he says. He thinks the company’s AI models are now good enough to power very capable coding agents. (Of course, the company spent billions training them to be that way.) “It's going to be a huge business—just the economic value of it, and then also the general-purpose work that coding can unlock,” Altman says. “I don't throw this around lightly, but I think it's one of these rare multitrillion-dollar markets.” What’s more, he says, Codex is “probably the most likely path” to building artificial general intelligence. By OpenAI’s definition, that’s an AI system that can outperform humans at most economically valuable work.。业内人士推荐手游作为进阶阅读

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