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Joined 3 years ago
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Cake day: July 2nd, 2023

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  • The types of AI you mention at the start of your comment has been around for years and isn’t exactly the problem we’re facing as far as I have researched. The AI bubble is a result of the hype around transformer-based generative AI and not so much about AI itself. Neither datacenters nor AI are a new thing and up until 2020 they weren’t as much as a problem as they are today due to the hype and increasing demands by these large models.

    The problem is literally a scaling issue for generative AI and those that decide to build new datacenters just for this usage are ignorant to the environmental and socioeconomic issues as being the limiters that they should be.




  • It’s hardly their fault for thinking it was related to the AI LLM or multimodal models when in all actuality the article states that these “large physics models” may be any sort of configuration, including LLM transformers:

    the models may use the transformer architecture that underlies LLMs, a generalized version of convolutional neural networks known as geometric deep learning, or an architecture that can solve partial differential equations called neural operators.

    It seemed you really needed to take your frustrations out on someone else’s comment.




  • girsaysdoom@sh.itjust.workstoLinux@lemmy.mlWhat have I done?
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    14 days ago

    Just one more crack in the levee against computer privacy. This is always how it starts.

    No one asked anyone to make that change but it was done regardless. The laws created in those states were (from my understanding) implemented defensively in a political sense due to how federal laws were being considered but weren’t actively requested to be enforced technologically.

    Those that don’t see this change as a step in a regressive trend but are in a position to make changes are usually the ones that lead us further down the path, intentionally or not.