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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.
  • EU says it will continue rolling out AI legislation on schedule

    Technology technology
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    I just can't get over how little we hear from academics RE: AI. It shows a clear disinterest and I feel like if they did bother to say anything it would be, "Proceed with caution while we study this further." Instead it's always the giant corporations with vested interest in this technology succeeding. It's just so painfully transparent.
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    According to the case website, it looks like it's only people who own a device made by Google that runs their voice assistant. So, Samsung Android users are not included, but anyone with a Google Home device or a Chromecast is included
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    Arcing causes more fires, because over current caused all the fires until we tightened standards and dual-mode circuit breakers. Now fires are caused by loose connections arcing, and damaged wires arcing to flammable material. Breakers are specifically designed for a sustained current, but arcing is dangerous because it tends to cascade, light arcing damages contacts, leading to more arcing in a cycle. The real danger of arcing is that it can happen outside of view, and start fires that aren't caught till everything burns down.
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    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.