Three raccoons in a trench coat. I talk politics and furries.

Other socials: https://ragdollx.carrd.co/

  • 5 Posts
  • 13 Comments
Joined 2 months ago
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Cake day: February 20th, 2025

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  • Ragdoll X@sh.itjust.worksto196@lemmy.world"AI" rule
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    2 days ago

    You’re not gonna save the world by not using ChatGPT, just like you won’t save all those slaves in Zambia by not buying from Apple, and just like you didn’t destroy Twitter by joining Bluesky.

    To have real effect requires systemic change, so if you want to actually make a difference you can do things like canvassing, running for local office positions and school boards, educating friends and family about politics, or try killing a few politicians and tech CEOs. You know, basic stuff.

    Also I asked Gemini’s Deep Research to research this for me because why not UwU

    Executive Summary

    Estimates for the energy consumed by ChatGPT during its training and inference phases vary considerably across different studies, reflecting the complexity of the models and the proprietary nature of the data. Training a model like GPT-3 is estimated to require around 1.3 GWh of electricity1, while more advanced models such as GPT-4 may consume significantly more, with estimates ranging from 1.75 GWh to over 62 GWh.2 Models comparable to GPT-4o are estimated to consume between 43.2 GWh and 54 GWh during training.3 These figures represent substantial energy demands, with the training of GPT-4 potentially exceeding the annual electricity consumption of very small nations multiple times over. The energy used during ChatGPT inference, the process of generating responses to user queries, also presents a wide range of estimates, from 0.3 watt-hours to 2.9 watt-hours per query.4 This translates to an estimated annual energy consumption for inference ranging from approximately 0.23 TWh to 1.06 TWh. This level of energy demand can be comparable to the entire annual electricity consumption of smaller countries like Barbados. The lack of official data from OpenAI and the diverse methodologies employed by researchers contribute to the variability in these estimates, highlighting the challenges in precisely quantifying the energy footprint of these advanced AI systems.4

    1. https://balkangreenenergynews.com/chatgpt-consumes-enough-power-in-one-year-to-charge-over-three-million-electric-cars/

    2. https://www.baeldung.com/cs/chatgpt-large-language-models-power-consumption

    3. https://www.bestbrokers.com/forex-brokers/ais-power-demand-calculating-chatgpts-electricity-consumption-for-handling-over-78-billion-user-queries-every-year/

    4. https://epoch.ai/gradient-updates/how-much-energy-does-chatgpt-use


  • I vaguely remember reading that some dude created 8chan because he thought 4chan was too heavily moderated or smth, which considering the little I saw while perusing 4chan ages ago, makes me wonder the depths to which 8chan can go.

    Also it’s kind of funny but fully expected that Kiwifarms would attract the most extreme among the extreme considering it’s literally just the “harass and dox queer people” website.