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OpenAI will not disclose GPT-5’s energy use. It could be higher than past models

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    https://techcommunity.microsoft.com/blog/linuxandopensourceblog/announcing-availability-of-almalinux-as-an-endorsed-linux-distribution-in-azure/4282201 Linux has become the most popular operating system on Azure as over 60% of customer cores run Linux-based workloads. Even on Microsoft Azure they mostly use Linux Maybe windows still underpins some important services for them though, I can't really comment on that
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    That has always been the two big problems with AI. Biases in the training, intentional or not, will always bias the output. And AI is incapable of saying "I do not have suffient training on this subject or reliable sources for it to give you a confident answer". It will always give you its best guess, even if it is completely hallucinating much of the data. The only way to identify the hallucinations if it isn't just saying absurd stuff on the face of it, it to do independent research to verify it, at which point you may as well have just researched it yourself in the first place. AI is a tool, and it can be a very powerful tool with the right training and use cases. For example, I use it at a software engineer to help me parse error codes when googling working or to give me code examples for modules I've never used. There is no small number of times it has been completely wrong, but in my particular use case, that is pretty easy to confirm very quickly. The code either works as expected or it doesn't, and code is always tested before releasing it anyway. In research, it is great at helping you find a relevant source for your research across the internet or in a specific database. It is usually very good at summarizing a source for you to get a quick idea about it before diving into dozens of pages. It CAN be good at helping you write your own papers in a LIMITED capacity, such as cleaning up your writing in your writing to make it clearer, correctly formatting your bibliography (with actual sources you provide or at least verify), etc. But you have to remember that it doesn't "know" anything at all. It isn't sentient, intelligent, thoughtful, or any other personification placed on AI. None of the information it gives you is trustworthy without verification. It can and will fabricate entire studies that do not exist even while attributed to real researcher. It can mix in unreliable information with reliable information becuase there is no difference to it. Put simply, it is not a reliable source of information... ever. Make sure you understand that.
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    it becomes a form of censorship when snall websites and forums shut down because they don’t have the capacity to comply. In this scenario that's not a consideration. We're talking about algorithmically-driven content, which wouldn't apply to Lemmy, Mastodon, or many mom-and-pop sized pages and forums. Those have human moderation anyway, which the big sites don't. If you're making editorial decisions by weighting algorithmically-driven content, it's not censorship to hold you accountable for the consequences of your editorial decisions. (Just as we would any major media outlet.)
  • Electric Bikes

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    Niemand hat geantwortet
  • Napster/BitTorrent for machine learning?

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    What would a use case look like? I assume that the latency will make it impractical to train something that's LLM-sized. But even for something small, wouldn't a data center be more efficient?
  • Ispace of Japan’s Moon Lander Resilience Has Crashed

    Technology technology
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    $ ls space?
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    cupcakezealot@lemmy.blahaj.zoneC
    !upliftingnews@lemmy.world
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    This is why they are businessmen and not politicians or influencers