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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分13

Sam Altman:能源或成扩大 AI 供给的主要成本因素

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Sam Altman 在阿布扎比 ADIPEC 开幕式上表示,模型效率和芯片制造等环节仍有降本空间,但为 AI 提供动力的物理世界难以同样提速。他认为,能源将主导未来 AI 的成本与供给规模;他还估计,单次查询的能耗在过去三四年已下降数千至数十万倍。

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https://t.co/ra1XZ2PViu

回复Rohan Paul@rohanpaul_ai
Energy is the biggest challenge because "atoms are still atoms" - Sam Altman, at the ADIPEC opening ceremony in Abu Dhabi. "Everything else we're going to make huge progress on. We're going to make more efficient models. We're going to have robots that can make chip fabs more efficient and assemble racks for us. We can bring down the cost of delivering great AI in almost every way except, atoms are still atoms and the physical world that has to power this. That's going to be, I think, the very dominant factor of the cost and the abundance and how much we can create." ---- Full video on "DWS News" YouTube channel, (link in comment)
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引用Rohan Paul@rohanpaul_ai
Full video on "DWS News" YouTube channel https://t.co/GMsWw6Tncw
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相关上下文Rohan Paul@rohanpaul_ai
The energy cost of each AI query has dropped 1,000x to 100,000x in 3 to 4 years - Sam Altman, at the ADIPEC opening ceremony in Abu Dhabi. "On one hand, the energy per query is falling incredibly dramatically. We're just delivering huge efficiency gains. We're thousands or hundreds of thousands of times maybe more efficient than we were three or four years ago." ---- Full video on "DWS News" YouTube channel, (link in comment)
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