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Sei nicht so ein Lanyard, Kumpel. Ihr großer viraler Thread über DeepSeek und den Energieverbrauch hat gezeigt, dass sie nicht einmal grundlegende AI-Konzepte wie Pre-Training vs. Testzeit-Berechnung versteht. Es war völlig disqualifizierend und es ist wichtig, dies anzusprechen.

18. Nov., 03:14
Separate from the ad hominem, it's not acceptable for someone with a science degree from MIT and a strong background in AI to take a guess at units and then confidently write that a building is using 1000x as much water as an entire city in what's presented as an authoritative work without doing a very basic sanity check first. I attribute zero malice to Hao. She was also super kind and respectful in engaging with this and I'm left with a very positive impression. I think this was an honest mistake, and have read and admired a lot of her other reporting. But this is a bigger mistake than just "guessing the wrong units" and we should be able to talk about how thousands of readers now believe a data center uses 1000x as much water as a city, and how it is actually very bad that so many people got such a wildly off impression of an important issue.
Sie spielt immer noch mit Worten und Statistiken.

18. Nov., 16:46
prediction, book will be changed to a statement like "in a single year, the data center could use more than THREE TIMES the amount of water consumed by the entire population of Cerrilos, a city of 88,000 people, in an entire MONTH" and everyone will keep believing what they believed before.
Ehrlich gesagt, ich liebe es, das zu sehen, weil ich ihre Nummer Anfang 2021 hatte. Das war alles schon lange überfällig.

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