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Former GM Executive: BYD cars are good in terms of design, features, price, quality. If we let BYD into the U.S. market, it could end up destroying american manufacturers

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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.
  • New Grads Hit AI Job Wall as Market Flips Upside Down

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  • OpenAI's $210K Residency Program Tackles AI Talent Shortage

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    R
    Why don’t they use AI to replace human AI developers?
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    dojan@pawb.socialD
    It is a direct result of structural racism, as it's a product of the treatment of white men as being the default. You see it all the time in medicine. There are conditions that disproportionately affect black people that we don't know enough about because time and money hasn't been spent studying it. Women face the same problem. Lots of conditions apply differently in women. An example of this being why women historically have been underrepresented in e.g. autism diagnoses. It presents differently so for a while the assumption was made that women just can't be autistic. I don't think necessarily that people who perpetuate this problem are doing so out of malice, they probably don't think of women/black people as lesser (hell, many probably are women and/or black), but it doesn't change the fact that structural problems requires awareness and conscious effort to correct.
  • Deep Dive on Google's TPU (Tensor Processing Unit)

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    N
    I support them , china I mean
  • Tesla customers in France sue over brand becoming 'extreme right'

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    P
    sorry I meant it in a joking way, I should have worded that better
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    O
    Not being a coward.