Hacker News
- A bottle of water per email: the hidden environmental costs of using AI chatbots https://www.washingtonpost.com/technology/2024/09/18/energy-ai-use-electricity-water-data-centers/ 64 comments
- A bottle of water per email: the hidden environmental costs of using AI chatbots https://www.washingtonpost.com/technology/2024/09/18/energy-ai-use-electricity-water-data-centers/ 2 comments environment
- A bottle of water per email: the hidden environmental costs of using AI chatbots https://www.washingtonpost.com/technology/2024/09/18/energy-ai-use-electricity-water-data-centers/ 21 comments technews
- A bottle of water per email: the hidden environmental costs of using AI chatbots https://www.washingtonpost.com/technology/2024/09/18/energy-ai-use-electricity-water-data-centers/ 11 comments technology
Linking pages
- Using GPT-4 to generate 100 words consumes up to 3 bottles of water — AI data centers also raise power and water bills for nearby residents | Tom's Hardware https://www.tomshardware.com/tech-industry/artificial-intelligence/using-gpt-4-to-generate-100-words-consumes-up-to-3-bottles-of-water-ai-data-centers-also-raise-power-and-water-bills-for-nearby-residents 196 comments
- OpenAI's GPT-4 model consumes 3 water bottles to generate 100 words | Windows Central https://www.windowscentral.com/software-apps/openai-ceo-sam-altman-admitted-gpt-4-kind-of-sucks-and-now-we-learn-the-ai-model-consumes-up-to-3-water-bottles-to-generate-a-mere-100-words 51 comments
- The Environmental Toll of a Single ChatGPT Query Is Absolutely Wild https://futurism.com/the-byte/environment-openai-chatgpt 0 comments
Linked pages
- http://science.sciencemag.org/cgi/doi/10.1126/science.aaq0216 282 comments
- Artificial intelligence technology behind ChatGPT was built in Iowa — with a lot of water | AP News https://apnews.com/article/chatgpt-gpt4-iowa-ai-water-consumption-microsoft-f551fde98083d17a7e8d904f8be822c4 28 comments
- Technology - Washington Post https://www.washingtonpost.com/business/technology/ 0 comments
- [2304.03271] Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models https://arxiv.org/abs/2304.03271 0 comments
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