• 𝚐𝚕𝚘𝚠𝚒𝚎@h4x0r.host
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        18 days ago

        Not to the degree in which your random smart lightbulbs company has now packaged a poorly shipped “AI” product for the sake of capitalizing on the hype. However, leveraging LLMs has its rewards too. Anecdotally, it has 10x my ability at rapid prototyping. In other examples, I’ve seen it help discover new pathways to better medicines and diagnose diseases more accurately. There’s pros and cons, like anything.

    • Sonori@beehaw.org
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      18 days ago

      Plants that take ten years to build don’t seem like a very good response to a boom that measures dataceneter build time in months. Battery backed solar and wind on the other hand are both cheaper, and can be built faster than the ‘AI’ datacenters they are ment to power.

      Don’t get me wrong, I think nuclear power is important to the energy transition, and will find its use in certain use cases like large scale marine transport or places near the artic circle, but the window to build it was 1970 to 2010. At a point when the biggest thing slowing down green energy if finding financing for it, it makes sense to go with the lowest cost option available, which is battery backed solar.

      • DarkThoughts@fedia.io
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        18 days ago

        10 years is unrealistic, today it’s closer to 15 years. Both time frames would be too late. Doesn’t matter either way though since the US elections. The world is not going to be able to compensate for the US emissions under Trump’s fascism when we were already on our way to 3 degrees globally BEFORE that.