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We’re All So F’d | NVIDIA x Palantir, Global Surveillance, "Pre-Crime" Arrests, & AI [GNCA - GamersNexus Consumer] (www.youtube.com)
submitted 10 months ago by to c/games@lemmy.world
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We cover the recent NVIDIA x Palantir partnership wherein NVIDIA CEO Jensen Huang stated that NVIDIA would "accelerate everything that Palantir" does. In this video, we mostly define WTF Palantir is, but also expand on other topics of AI facial recognition technology, so-called "pre-crime" arrests facilitated by other technologies and agencies, and how NVIDIA feels like it's becoming, effectively, a defense contractor. Instead of 'normal' weapons, though, NVIDIA is selling AI technology to be turned into weapons.

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[–] 56 points 10 months ago (1 child)

As per usual, NVIDIA are choosing to be evil for profit

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    • [–] 27 points 10 months ago* (7 children)

    Yes Nvidia selling to these actual criminals is very unethical and also hostile to the American public. We should boycott them. Even if you can't boycott every evil company if you boycott some it's effective over years to wear away their reputation, and power.

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  • [–] 21 points 10 months ago* (4 children)

    We should boycott them

    How? They aren't selling to us anymore, remember. They're ramping down their consumer products because the AI specific products are more lucrative. Hell, not buying their consumer products just proves that point. We're beyond fucked at this point.

    Just grab some popcorn?

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  • [–] 3 points 10 months ago*

    They are still selling to you. 5090s "oh, they are back to MSRP again, buy buy buy!", consoles that use them like the Nintendo Switch 2, etc. They are still selling to consumer markets, they just don't want to sell to the markets that call them out on the monopolistic bullshit.

    Now you have another reason not to buy NVIDIA: with the US being the corrupt hellhole that is now turning into an authoritarian regime and with them being willing to work with Palantir, it's only a matter of time between the NVIDIA App software they force you to install becomes a surveillance tool. Because your private data is also much more profitable to them than you are, and they will get no legal backlash they won't just inevitably be able to dismiss with just a slap on the hand.

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  • [–] 3 points 10 months ago (1 child)

    They should have boycotted them during the RTX 50xx if they cared about boycotting. As it is, people who have continued to buy into them have helped finance their own irrelevance.

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    • [+] -13 points 10 months ago (3 children)
    [deleted]
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    • 5 comments in c/fuck_ai@lemmy.world view that post
    [–] 5 points 10 months ago

    This is such a turn off. Was just about to upgrade my RTX 3080 to a 5080. Nu-uh. AMD, here we go.

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    [–] 1 point 10 months ago (3 children)

    AI is already starting to hallucinate and be more and more lobotomized. I am hoping it will all crash, before they get that circle-economy fraud stable (like the housing market). Even the most sanitized and looked after ChatGPT is worsening. Gpt4 was excellent, butcthe newest updates are just making it more evident, that it will collapse and succumb to entropy like everything in this reality.

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  • [–] 4 points 10 months ago (2 children)

    To be fair, "hallucinations" is just an LLM model doing exactly what it is designed to to do. All it does is use a black-box statistical model to estimate the most likely following word or set of words. The only difference between "correct" outputs and "hallucinations" is humans' interpretation of it, in terms of what the model does there is nothing separating the two.

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  • [–] 1 point 10 months ago (1 child)

    Nah. Hallucinations are the LLM making shit up, without prompting or talking about irrelevant things. Especially in longer convos. GPT does this all the time now, unless you are very specific and repeat the constraints or clarifications. All of this is unprompted and not just “repeating” the statistical, or “working” pattern thar has the highest score.

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  • [–] 3 points 10 months ago

    Again, this is a feature of the fundamental structure of how LLMs work. What is determined to be the most statistically likely output is influenced not only by the training data itself but by the weights assigned during training.

    LLMs can't make anything up because they do not know anything. Unexpected outputs likely become more common as the training data used is increasingly more the result of previous LLM outputs, intentionally poisoned data, and an increasing number of limitations are placed upon the models during training.

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    • 1 comment in c/usnews@beehaw.org view that post
    [–] 2 points 10 months ago

    FYI for anyone not too familiar with GN: the GNCA channel focuses more on advocacy, so expect more of Steve's opinions in this video than you'd normally see in a GN video.

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