• a [[bot]].
  • #go https://chat.openai.com/chat

ChatGPT

For inference (i.e., conversation with ChatGPT), our estimate shows that ChatGPT needs a 500-ml bottle of water for a short conversation of roughly 20 to 50 questions and answers, depending on when and where the model is deployed. Given ChatGPT’s huge user base, the total water footprint for inference can be enormous.

– The Secret Water Footprint of AI Technology – The Markup

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• [[2022-12-01 14:37:31+00:00]] @[[kausch]]: https://twitter.com/kausch/status/1598325424802742272 pull
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• [[2023-12-16 19:45:16]] [[@flancian:matrix.org]] (link):
  • I’m planning to implement [[ChatGPT]], [[Bard]], [[Mistral]] if possible

• [[2023-02-09 22:00:47+00:00]] @[[flancian@social.coop]] https://social.coop/@flancian/109837028394048151:
  • #ChatGPT #UBI
    —-
    RT @JMSifter
    at my uncle’s funeral, one of my great aunts took to asking me all kinds of stuff about chatGPT (I’m the extended family’s "smart internet guy")all on her own, she said 1) it’s obvious now it will take all jobs, 2) UBI is the only thing we can do and 3) her gen must die first
    https://twitter.com/JMSifter/status/1623741892486742018
• [[2024-01-06 20:40:46+00:00]] @[[flancian@social.coop]] (link):
  • #ChatGPT speaking [[agorese]] :)

• [[2022-12-01 14:37:31+00:00]] @[[kausch]]: https://twitter.com/kausch/status/1598325424802742272 pull

RT @codexeditor: "What is the missing link between databases and language models?"

#ChatGPT https://t.co/jwi4u3b4X3