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Signal – an ethical replacement for WhatsApp

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    B
    Fair. Water use comes out to about 150.000 chatGPT queries per quarter pounder. Using 10ml per prompt and 15.000l per kg of beef. Still off by many orders of magnitude. Also that’s just the running costs. If we go into training we’re looking at a comparison the other way around. Training GPT-3 cost Microsoft 700.000 liters of water. So that’s 466.6 quarter pounders.
  • 737 Stimmen
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    K
    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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  • Hastags killed

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    klu9@lemmy.caK
    £ says: "The fuck they are, mate!"
  • Matrix is cooked

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    jadedblueeyes@programming.devJ
    The Matrix Foundation and Element/New Vector are different orgs, and it's Element with the government contracts
  • How will the space race affect our environment? (Video 25mins)

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  • Generative AI's most prominent skeptic doubles down

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    Z
    I don't think so, and I believe not even the current technology used for neural network simulations will bring us to AGI, yet alone LLMs.
  • *deleted by creator*

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