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We Should Immediately Nationalize SpaceX and Starlink

Technology
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  • 738 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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    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.
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    T
    Very interesting paper, and grade A irony to begin the title with “delving” while finding that “delve” is one of the top excess words/markers of LLM writing. Moreover, the authors highlight a few excerpts that “illustrate the LLM-style flowery language” including By meticulously delving into the intricate web connecting […] and […], this comprehensive chapter takes a deep dive into their involvement as significant risk factors for […]. …and then they clearly intentionally conclude the discussion section thus We hope that future work will meticulously delve into tracking LLM usage more accurately and assess which policy changes are crucial to tackle the intricate challenges posed by the rise of LLMs in scientific publishing. Great work.
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    db0@lemmy.dbzer0.comD
    VC-backed OpenAI is the most valuable company in the world and is engaging in massive environmental destruction. The US state just went into cahoots with them to the tune of billions VC-backed Uber and AirBnb disrupted multiple estabilished industries for the worst by undercutting them through loss-leading. VC-backed Facebook killed or purchased all its rivals and consolidated almost all social media to the detriment of the whole world.
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    U
    Repair technicians see by far the most of seagate drives
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    L
    Okay, I'd be interested to hear what you think is wrong with this, because I'm pretty sure it's more or less correct. Some sources for you to help you understand these concepts a bit better: What DLSS is and how it works as a starter: https://en.wikipedia.org/wiki/Deep_Learning_Super_Sampling Issues with modern "optimization", including DLSS: https://www.youtube.com/watch?v=lJu_DgCHfx4 TAA comparisons (yes, biased, but accurate): https://old.reddit.com/r/FuckTAA/comments/1e7ozv0/rfucktaa_resource/
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    I
    I'm not a Bing fan either because it used to be regurgitated Google results. For now I'm just self-hosting an instance of SearXNG. Copilot is pretty good for Azure stuff though, really I just like it because it always has links back to Microsoft's documentation (even though it's constantly changing).
  • Meta Reportedly Eyeing 'Super Sensing' Tech for Smart Glasses

    Technology technology
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    34 Stimmen
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    M
    I see your point but also I just genuinely don't have a mind for that shit. Even my own close friends and family, it never pops into my head to ask about that vacation they just got back from or what their kids are up to. I rely on social cues from others, mainly my wife, to sort of kick start my brain. I just started a new job. I can't remember who said they were into fishing and who didn't, and now it's anxiety inducing to try to figure out who is who. Or they ask me a friendly question and I get caught up answering and when I'm done I forget to ask it back to them (because frequently asking someone about their weekend or kids or whatever is their way of getting to share their own life with you, but my brain doesn't think that way). I get what you're saying. It could absolutely be used for performative interactions but for some of us people drift away because we aren't good at being curious about them or remembering details like that. And also, I have to sit through awkward lunches at work where no one really knows what to talk about or ask about because outside of work we are completely alien to one another. And it's fine. It wouldn't be worth the damage it does. I have left behind all personally identifiable social media for the same reason. But I do hate how social anxiety and ADHD makes friendship so fleeting.