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Fairphone announces the €599 Fairphone 6, with a 6.31" 120Hz LTPO OLED display, a Snapdragon 7s Gen 3 chip, and enhanced modularity with 12 swappable parts

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    E
    You know that they only are prepared to offer cyber security experts minimum wage. I was literally looking at this yesterday, if they doubled what they are offering it would still be well short of an entry-level wage in the private sector. Up to a point you can get away with it and rely on "patriotism" to fill the difference but not to this extent.
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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.
  • Telegram, the FSB, and the Man in the Middle

    Technology technology
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    R
    You can be seen from a kilometer away, pots ))
  • 77 Stimmen
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    G
    Because the trillions is the point.. Not security.
  • Napster/BitTorrent for machine learning?

    Technology technology
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    G
    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?
  • An earnest question about the AI/LLM hate

    Technology technology
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    ineedmana@lemmy.worldI
    It might be interesting to cross-post this question to !fuck_ai@lemmy.world but brace for impact
  • Apple Reportedly Weighs iPhone Price Increase

    Technology technology
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    S
    Anytime I consider making the jump, I make my peace with everything and then the price hits...no way
  • 2 Stimmen
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    F
    IMO stuff like that is why a good trainer is important. IMO it's stronger evidence that proper user-centered design should be done and a usable and intuitive UX and set of APIs developed. But because the buyer of this heap of shit is some C-level, there is no incentive to actually make it usable for the unfortunate peons who are forced to interact with it. See also SFDC and every ERP solution in existence.