Original post · AI translation
能源是最大的挑战，因为“原子终究还是原子”
——萨姆·奥尔特曼，在阿布扎比举行的 ADIPEC 开幕式上。
“在其他所有方面，我们都将取得巨大进展。我们将开发出效率更高的模型。我们将拥有能提高芯片制造厂效率、为我们组装机架的机器人。
我们几乎可以从各个方面降低提供优秀 AI 的成本，但原子终究还是原子，而且这一切都需要现实物理世界来供能。
我认为，这将是决定成本、供给充裕程度以及我们能创造多少的最主要因素。”
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完整视频见“DWS News”YouTube 频道（链接在评论中）
Original
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)
完整视频见“DWS News”YouTube 频道
https://t.co/GMsWw6Tncw
Original
Full video on "DWS News" YouTube channel https://t.co/GMsWw6Tncw
在 3 到 4 年间，每次 AI 查询的能源成本下降了 1,000 倍至 100,000 倍
——萨姆·奥尔特曼，在阿布扎比举行的 ADIPEC 开幕式上。
“一方面，每次查询消耗的能源正以惊人的幅度下降。我们正在大幅提高效率。与 3 或 4 年前相比，我们的效率可能提高了数千倍，甚至数十万倍。”
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完整视频见“DWS News”YouTube 频道（链接在评论中）
Original
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)