Similar to what happened to NFT’s back in 2022

  • Pirtatogna@lemmy.world
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    3 months ago

    Not really. The infrastructure to run language models is hardware wise demanding, consumes vast amounts of water (cooling) and electricity and requires frequent renewing and added capacity.

        • Korhaka@sopuli.xyz
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          3 months ago

          This is the difference between running and training them. I can generate text output from an LLM faster than I can read it. But I am not training a new model any time soon.