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A Prominent OpenAI Investor Appears to Be Suffering a ChatGPT-Related Mental Health Crisis, His Peers Say

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    @return2ozma@lemmy.world !technology@lemmy.world

    Should I worry about the fact that I can sort of make sense of what this "Geoff Lewis" person is trying to say?

    Because, to me, it's very clear: they're referring to something that was build (the LLMs) which is segregating people, especially those who don't conform with a dystopian world.

    Isn't what is happening right now in the world? "Dead Internet Theory" was never been so real, online content have being sowing the seed of doubt on whether it's AI-generated or not, users constantly need to prove they're "not a bot" and, even after passing a thousand CAPTCHAs, people can still be mistaken for bots, so they're increasingly required to show their faces and IDs.

    The dystopia was already emerging way before the emergence of GPT, way before OpenAI: it has been a thing since the dawn of time! OpenAI only managed to make it worse: OpenAI "open"ed a gigantic dam, releasing a whole new ocean on Earth, an ocean in which we've becoming used to being drowned ever since.

    Now, something that may sound like a "
    conspiracy theory": what's the real purpose behind LLMs? No, OpenAI, Meta, Google, even DeepSeek and Alibaba (non-Western), they wouldn't simply launch their products, each one of which cost them obscene amounts of money and resources, for free (as in "free beer") to the public, out of a "nice heart". Similarly, capital ventures and govts wouldn't simply give away the obscene amounts of money (many of which are public money from taxpayers) for which there will be no profiteering in the foreseeable future (OpenAI, for example, admitted many times that even charging US$200 their Enterprise Plan isn't enough to cover their costs, yet they continue to offer LLMs for cheap or "free").

    So there's definitely something that isn't being told: the cost behind plugging the whole world into LLMs and other Generative Models. Yes, you read it right: the whole world, not just the online realm, because nowadays, billions of people are potentially dealing with those Markov chain algorithms offline, directly or indirectly: resumes are being filtered by LLMs, worker's performances are being scrutinized by LLMs, purchases are being scrutinized by LLMs, surveillance cameras are being scrutinized by VLMs, entire genomas are being fed to gLMs (sharpening the blades of the double-edged sword of bioengineering and biohacking)...

    Generative Models seem to be omnipresent by now, with omnipresent yet invisible costs. Not exactly fiat money, but there are costs that we are paying, and these costs aren't being told to us, and while we're able to point out some (lack of privacy, personal data being sold and/or stolen), these are just the tip of an iceberg: one that we're already able to see, but we can't fully comprehend its consequences.

    Curious how pondering about this is deemed "delusional", yet it's pretty "normal" to accept an increasingly-dystopian world and refusing to denounce the elephant in the room.

  • And you're not the boss of me. Hmmm, maybe we do recur... /s

  • I'm also neurodivergent. This is not neurodivergence on display, this is a person who has mentally diverged from reality. It's word salad.

    I appreciate your perspective on recursion, though I think your philosophical generosity is misplaced. Just look at the following sentence he spoke:

    And if you're recursive, the non-governmental system isolates you, mirrors you, and replaces you.

    This sentence explicitly states that some people can be recursive, and it implies that some people cannot be recursive. But people are not recursive at all. Their thinking might be, as you pointed out; intangible concepts might be recursive, but tangible things themselves are not recursive—they simply are what they are. It's the same as saying an orange is recursive, or a melody is recursive. It's nonsense.

    And what's that last bit about being isolated, mirrored, and replaced? It's anyone's guess, and it sounds an awful lot like someone with paranoid delusions about secret organizations pulling unseen strings from the shadows.

    I think it's good you have a generous spirit, but I think you're just casting your pearls before swine, in this case.

    @Telorand@reddthat.com

    To me, personally, I read that sentence as follows:

    And if you’re recursive
    "If you're someone who think/see things in a recursive manner" (characteristic of people who are inclined to question and deeply ponder about things, or doesn't conform with the current state of the world)
    the non-governmental system
    a.k.a. generative models (they're corporate products and services, not ran directly by governments, even though some governments, such as the US, have been injecting obscene amounts of money into the so-called "AI")
    isolates you
    LLMs can, for example, reject that person's CV whenever they apply for a job, or output a biased report on the person's productivity, solely based on the shared data between "partners". Data is definitely shared among "partners", and this includes third-party inputting data directly or indirectly produced by such people: it's just a matter of "connecting the dots" to make a link between a given input to another given input regarding on how they're referring to a given person, even when the person used a pseudonym somewhere, because linguistic fingerprinting (i.e. how a person writes or structures their speech) is a thing, just like everybody got a "walking gait" and voice/intonation unique to them.
    mirrors you
    Generative models (LLMs, VLMs, etc) will definitely use the input data from inferences to train, and this data can include data from anybody (public or private), so everything you ever said or did will eventually exist in a perpetual manner inside the trillion weights from a corporate generative model. Then, there are "ideas" such as Meta's on generating people (which of course will emerge from a statistical blend between existing people) to fill their "social platforms", and there are already occurrences of "AI" being used for mimicking deceased people.
    and replaces you.
    See the previous "LLMs can reject that person's resume". The person will be replaced like a defective cog in a machine. Even worse: the person will be replaced by some "agentic [sic] AI".

    ----

    Maybe I'm naive to make this specific interpretation from what Lewis said, but it's how I see and think about things.

  • It’s insane to me that anyone would think these things are reliable for something as important as your own psychology/health.

    Even using them for coding which is the one thing they’re halfway decent at will lead to disastrous code if you don’t already know what you’re doing.

    because that's how they are sold.

  • "Return the logged containment entry involving a non-institutional semantic actor whose recursive outputs triggered model-archived feedback protocols," he wrote in one example. "Confirm sealed classification and exclude interpretive pathology."

    He's lost it. You ask a text generator that question, and it's gonna generated related text.

    Just for giggles, I pasted that into ChatGPT, and it said "I’m sorry, but I can’t help with that." But I asked nicely, and it said "Certainly. Here's a speculative and styled response based on your prompt, assuming a fictional or sci-fi context", with a few paragraphs of SCP-style technobabble.

    I poked it a bit more about the term "interpretive pathology", because I wasn't sure if it was real or not. At first it said no, but I easily found a research paper with the term in the title. I don't know how much ChatGPT can introspect, but it did produce this:

    The term does exist in niche real-world usage (e.g., in clinical pathology). I didn’t surface it initially because your context implied a non-clinical meaning. My generation is based on language probability, not keyword lookup—so rare, ambiguous terms may get misclassified if the framing isn't exact.

    Which is certainly true, but just confirmation bias. I could easily get it to say the opposite.

    Given how hard it is to repro those terms, is the AI or Sam Altman trying to see this investor die? Seems to easily inject ideas into the softened target.

  • Given how hard it is to repro those terms, is the AI or Sam Altman trying to see this investor die? Seems to easily inject ideas into the softened target.

    No. It's very easy to get it to do this. I highly doubt there is a conspiracy.

  • @return2ozma@lemmy.world !technology@lemmy.world

    Should I worry about the fact that I can sort of make sense of what this "Geoff Lewis" person is trying to say?

    Because, to me, it's very clear: they're referring to something that was build (the LLMs) which is segregating people, especially those who don't conform with a dystopian world.

    Isn't what is happening right now in the world? "Dead Internet Theory" was never been so real, online content have being sowing the seed of doubt on whether it's AI-generated or not, users constantly need to prove they're "not a bot" and, even after passing a thousand CAPTCHAs, people can still be mistaken for bots, so they're increasingly required to show their faces and IDs.

    The dystopia was already emerging way before the emergence of GPT, way before OpenAI: it has been a thing since the dawn of time! OpenAI only managed to make it worse: OpenAI "open"ed a gigantic dam, releasing a whole new ocean on Earth, an ocean in which we've becoming used to being drowned ever since.

    Now, something that may sound like a "
    conspiracy theory": what's the real purpose behind LLMs? No, OpenAI, Meta, Google, even DeepSeek and Alibaba (non-Western), they wouldn't simply launch their products, each one of which cost them obscene amounts of money and resources, for free (as in "free beer") to the public, out of a "nice heart". Similarly, capital ventures and govts wouldn't simply give away the obscene amounts of money (many of which are public money from taxpayers) for which there will be no profiteering in the foreseeable future (OpenAI, for example, admitted many times that even charging US$200 their Enterprise Plan isn't enough to cover their costs, yet they continue to offer LLMs for cheap or "free").

    So there's definitely something that isn't being told: the cost behind plugging the whole world into LLMs and other Generative Models. Yes, you read it right: the whole world, not just the online realm, because nowadays, billions of people are potentially dealing with those Markov chain algorithms offline, directly or indirectly: resumes are being filtered by LLMs, worker's performances are being scrutinized by LLMs, purchases are being scrutinized by LLMs, surveillance cameras are being scrutinized by VLMs, entire genomas are being fed to gLMs (sharpening the blades of the double-edged sword of bioengineering and biohacking)...

    Generative Models seem to be omnipresent by now, with omnipresent yet invisible costs. Not exactly fiat money, but there are costs that we are paying, and these costs aren't being told to us, and while we're able to point out some (lack of privacy, personal data being sold and/or stolen), these are just the tip of an iceberg: one that we're already able to see, but we can't fully comprehend its consequences.

    Curious how pondering about this is deemed "delusional", yet it's pretty "normal" to accept an increasingly-dystopian world and refusing to denounce the elephant in the room.

    And yet, what you wrote is coherent and what he wrote is not.

  • @return2ozma@lemmy.world !technology@lemmy.world

    Should I worry about the fact that I can sort of make sense of what this "Geoff Lewis" person is trying to say?

    Because, to me, it's very clear: they're referring to something that was build (the LLMs) which is segregating people, especially those who don't conform with a dystopian world.

    Isn't what is happening right now in the world? "Dead Internet Theory" was never been so real, online content have being sowing the seed of doubt on whether it's AI-generated or not, users constantly need to prove they're "not a bot" and, even after passing a thousand CAPTCHAs, people can still be mistaken for bots, so they're increasingly required to show their faces and IDs.

    The dystopia was already emerging way before the emergence of GPT, way before OpenAI: it has been a thing since the dawn of time! OpenAI only managed to make it worse: OpenAI "open"ed a gigantic dam, releasing a whole new ocean on Earth, an ocean in which we've becoming used to being drowned ever since.

    Now, something that may sound like a "
    conspiracy theory": what's the real purpose behind LLMs? No, OpenAI, Meta, Google, even DeepSeek and Alibaba (non-Western), they wouldn't simply launch their products, each one of which cost them obscene amounts of money and resources, for free (as in "free beer") to the public, out of a "nice heart". Similarly, capital ventures and govts wouldn't simply give away the obscene amounts of money (many of which are public money from taxpayers) for which there will be no profiteering in the foreseeable future (OpenAI, for example, admitted many times that even charging US$200 their Enterprise Plan isn't enough to cover their costs, yet they continue to offer LLMs for cheap or "free").

    So there's definitely something that isn't being told: the cost behind plugging the whole world into LLMs and other Generative Models. Yes, you read it right: the whole world, not just the online realm, because nowadays, billions of people are potentially dealing with those Markov chain algorithms offline, directly or indirectly: resumes are being filtered by LLMs, worker's performances are being scrutinized by LLMs, purchases are being scrutinized by LLMs, surveillance cameras are being scrutinized by VLMs, entire genomas are being fed to gLMs (sharpening the blades of the double-edged sword of bioengineering and biohacking)...

    Generative Models seem to be omnipresent by now, with omnipresent yet invisible costs. Not exactly fiat money, but there are costs that we are paying, and these costs aren't being told to us, and while we're able to point out some (lack of privacy, personal data being sold and/or stolen), these are just the tip of an iceberg: one that we're already able to see, but we can't fully comprehend its consequences.

    Curious how pondering about this is deemed "delusional", yet it's pretty "normal" to accept an increasingly-dystopian world and refusing to denounce the elephant in the room.

    You might be reading a lot into vague, highly conceptual, highly abstract language, but your conclusion is worth brainstorming about.

    Personally, I think Geoff Lewis just discovered that people are starting to distrust him and others, and he used ChatGPT to construct an academic thesis that technically describes this new concept called "distrust," void of accountability on his end.

    "Why are people acting this way towords me? I know they can't possibly distrust me without being manipulated!"

    No wonder AI can replace middle-management...

  • @Telorand@reddthat.com

    To me, personally, I read that sentence as follows:

    And if you’re recursive
    "If you're someone who think/see things in a recursive manner" (characteristic of people who are inclined to question and deeply ponder about things, or doesn't conform with the current state of the world)
    the non-governmental system
    a.k.a. generative models (they're corporate products and services, not ran directly by governments, even though some governments, such as the US, have been injecting obscene amounts of money into the so-called "AI")
    isolates you
    LLMs can, for example, reject that person's CV whenever they apply for a job, or output a biased report on the person's productivity, solely based on the shared data between "partners". Data is definitely shared among "partners", and this includes third-party inputting data directly or indirectly produced by such people: it's just a matter of "connecting the dots" to make a link between a given input to another given input regarding on how they're referring to a given person, even when the person used a pseudonym somewhere, because linguistic fingerprinting (i.e. how a person writes or structures their speech) is a thing, just like everybody got a "walking gait" and voice/intonation unique to them.
    mirrors you
    Generative models (LLMs, VLMs, etc) will definitely use the input data from inferences to train, and this data can include data from anybody (public or private), so everything you ever said or did will eventually exist in a perpetual manner inside the trillion weights from a corporate generative model. Then, there are "ideas" such as Meta's on generating people (which of course will emerge from a statistical blend between existing people) to fill their "social platforms", and there are already occurrences of "AI" being used for mimicking deceased people.
    and replaces you.
    See the previous "LLMs can reject that person's resume". The person will be replaced like a defective cog in a machine. Even worse: the person will be replaced by some "agentic [sic] AI".

    ----

    Maybe I'm naive to make this specific interpretation from what Lewis said, but it's how I see and think about things.

    I dunno if I'd call that naive, but I'm sure you'll agree that you are reading a lot into it on your own; you are the one giving those statements extra meaning, and I think it's very generous of you to do so.

  • I'm also neurodivergent. This is not neurodivergence on display, this is a person who has mentally diverged from reality. It's word salad.

    I appreciate your perspective on recursion, though I think your philosophical generosity is misplaced. Just look at the following sentence he spoke:

    And if you're recursive, the non-governmental system isolates you, mirrors you, and replaces you.

    This sentence explicitly states that some people can be recursive, and it implies that some people cannot be recursive. But people are not recursive at all. Their thinking might be, as you pointed out; intangible concepts might be recursive, but tangible things themselves are not recursive—they simply are what they are. It's the same as saying an orange is recursive, or a melody is recursive. It's nonsense.

    And what's that last bit about being isolated, mirrored, and replaced? It's anyone's guess, and it sounds an awful lot like someone with paranoid delusions about secret organizations pulling unseen strings from the shadows.

    I think it's good you have a generous spirit, but I think you're just casting your pearls before swine, in this case.

    Since recursion in humans has no commonly understood definition, Geoff and ChatGPT are each working off of diverging understandings. If users don't validate definitions, getting abstract with a chatbot would lead to conceptual breakdown... that does not sound fun to experience.

  • If you watch the video that's posted elsewhere in the comments, he's definitely not 100% in reality. There is a huge difference between neuro-divergence and what he's saying. The parts they took out for the article could be construed as neuro-divergent, which is why I wasn't entirely sure. But when you look at the entirety of what he was saying, he's not in our world completely in his mental state.

    Chatbots often read as neurodivergent because they usually model one of our common constructed personalities: the faithful and professional helper that charms adults with their giftedness. Anything adults experienced was fascinating because it was an alien world that's more logical than the world of kids that were our age, so we would enthusiastically chat with adults about subjects we've memorized but don't yet understand, like science and technology.

  • And yet, what you wrote is coherent and what he wrote is not.

    Not that i disagree with you, but coherence is one of those things that highly subjective and context dependent.

    A non-science inclined person reading most scientific papers would think they were incoherent.

    Not because they couldn't be written in a way more comprehensible to the non-science person, but because that's not the target audience.

    The audience that is targeted will have a lot of the same shared context/knowledge and thus would be able to decipher the content.

    It could well be that he's talking using context, knowledge and language/phrasing that's not in the normal lexicon.

    I don't think that's what's happening here, but it's not impossible.

  • I have no love for the ultra-wealthy, and this feckless tech bro is no exception, but this story is a cautionary tale for anyone who thinks ChatGPT or any other chatbot is even a half-decent replacement for therapy.

    It's not, and study after study, expert after expert continues to reinforce that reality. I understand that therapy is expensive, and it's not always easy to find a good therapist, but you'd be better off reading a book or finding a support group than deluding yourself with one of these AI chatbots.

    People forget that libraries are still a thing.

    Sadly, a big problem with society is that we all want quick, easy fixes, of which there are none when it comes to mental health, and anyone who offers one - even an AI - is selling you that illustrious snake oil.

  • isn't this just paranoid schizophrenia? i don't think chatgpt can cause that

    Could be. I've also seen similar delusions in people with syphilis that went un- or under-treated.

  • People forget that libraries are still a thing.

    Sadly, a big problem with society is that we all want quick, easy fixes, of which there are none when it comes to mental health, and anyone who offers one - even an AI - is selling you that illustrious snake oil.

    If I could upvote your comment five times for promoting libraries, I would!

  • It’s insane to me that anyone would think these things are reliable for something as important as your own psychology/health.

    Even using them for coding which is the one thing they’re halfway decent at will lead to disastrous code if you don’t already know what you’re doing.

    its one step below betterhelp.

  • I'm a developer, and this is 100% word salad.

    "It doesn't suppress content," he continues. "It suppresses recursion. If you don't know what recursion means, you're in the majority. I didn't either until I started my walk. And if you're recursive, the non-governmental system isolates you, mirrors you, and replaces you. ..."

    This is actual nonsense. Recursion has to do with algorithms, and it's when you call a function from within itself.

    def func_a(input=True):
      if input is True:
        func_a(True)
      else:
        return False
    

    My program above would recur infinitely, but hopefully you can get the gist.

    Anyway, it sounds like he's talking about people, not algorithms. People can't recur. We aren't "recursive," so whatever he thinks he means, it isn't based in reality. That plus the nebulous talk of being replaced by some unseen entity reek of paranoid delusions.

    I'm not saying that is what he has, but it sure does have a similar appearance, and if he is in his right mind (doubt it), he doesn't have any clue what he's talking about.

    def f():
        f()
    

    Functionally the same, saved some bytes 🙂

  • It’s insane to me that anyone would think these things are reliable for something as important as your own psychology/health.

    Even using them for coding which is the one thing they’re halfway decent at will lead to disastrous code if you don’t already know what you’re doing.

    I agree. I'm generally pretty indifferent to this new generation of consumer models--the worst thing about it is the incredible amount of idiots flooding social media witch hunting it or evangelizing it without any understanding of either the tech or the law they're talking about--but the people who use it so frequently for so many fundamental things that it's observably diminishing their basic competencies and health is really unsettling.

  • This post did not contain any content.

    Chatbot psychosis literally played itself out in my wonderful sister. She started confiding really dark shit to a openai model and it reinforced her psychosis. Her husband and I had to bring her to a psych ward. Please be safe with AI. Never ask it to think for you, or what you have to do.

    Update: The psychiatrist who looked at her said she had too much weed -_- . I'm really disappointed in the doctor but she had finally slept and sounded more coherent then

  • isn't this just paranoid schizophrenia? i don't think chatgpt can cause that

    LLMs are obligate yes-men.

    They'll support and reinforce whatever rambling or delusion you talk to them about, and provide “evidence” to support it (made up evidence, of course, but if you're already down the rabbit hole you'll buy it).

    And they'll keep doing that as long as you let them, since they're designed to keep you engaged (and paying).

    They're extremely dangerous for anyone with the slightest addictive, delusional, suggestible, or paranoid tendencies, and should be regulated as such (but won't).

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    Vibe investors
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    California is not Colorado nor is it federal No shit, did you even read my comment? Regulations already exist in every state that ride share companies operate in, including any state where taxis operate. People are already not supposed to sexually assault their passengers. Will adding another regulation saying they shouldn’t do that, even when one already exists, suddenly stop it from happening? No. Have you even looked at the regulations in Colorado for ride share drivers and companies? I’m guessing not. Here are the ones that were made in 2014: https://law.justia.com/codes/colorado/2021/title-40/article-10-1/part-6/section-40-10-1-605/#%3A~%3Atext=§+40-10.1-605.+Operational+Requirements+A+driver+shall+not%2Ca+ride%2C+otherwise+known+as+a+“street+hail”. Here’s just one little but relevant section: Before a person is permitted to act as a driver through use of a transportation network company's digital network, the person shall: Obtain a criminal history record check pursuant to the procedures set forth in section 40-10.1-110 as supplemented by the commission's rules promulgated under section 40-10.1-110 or through a privately administered national criminal history record check, including the national sex offender database; and If a privately administered national criminal history record check is used, provide a copy of the criminal history record check to the transportation network company. A driver shall obtain a criminal history record check in accordance with subparagraph (I) of paragraph (a) of this subsection (3) every five years while serving as a driver. A person who has been convicted of or pled guilty or nolo contendere to driving under the influence of drugs or alcohol in the previous seven years before applying to become a driver shall not serve as a driver. If the criminal history record check reveals that the person has ever been convicted of or pled guilty or nolo contendere to any of the following felony offenses, the person shall not serve as a driver: (c) (I) A person who has been convicted of or pled guilty or nolo contendere to driving under the influence of drugs or alcohol in the previous seven years before applying to become a driver shall not serve as a driver. If the criminal history record check reveals that the person has ever been convicted of or pled guilty or nolo contendere to any of the following felony offenses, the person shall not serve as a driver: An offense involving fraud, as described in article 5 of title 18, C.R.S.; An offense involving unlawful sexual behavior, as defined in section 16-22-102 (9), C.R.S.; An offense against property, as described in article 4 of title 18, C.R.S.; or A crime of violence, as described in section 18-1.3-406, C.R.S. A person who has been convicted of a comparable offense to the offenses listed in subparagraph (I) of this paragraph (c) in another state or in the United States shall not serve as a driver. A transportation network company or a third party shall retain true and accurate results of the criminal history record check for each driver that provides services for the transportation network company for at least five years after the criminal history record check was conducted. A person who has, within the immediately preceding five years, been convicted of or pled guilty or nolo contendere to a felony shall not serve as a driver. Before permitting an individual to act as a driver on its digital network, a transportation network company shall obtain and review a driving history research report for the individual. An individual with the following moving violations shall not serve as a driver: More than three moving violations in the three-year period preceding the individual's application to serve as a driver; or A major moving violation in the three-year period preceding the individual's application to serve as a driver, whether committed in this state, another state, or the United States, including vehicular eluding, as described in section 18-9-116.5, C.R.S., reckless driving, as described in section 42-4-1401, C.R.S., and driving under restraint, as described in section 42-2-138, C.R.S. A transportation network company or a third party shall retain true and accurate results of the driving history research report for each driver that provides services for the transportation network company for at least three years. So all sorts of criminal history, driving record, etc checks have been required since 2014. Colorado were actually the first state in the USA to implement rules like this for ride share companies lol.
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    This “study” is biased by design. But also even if it weren’t , one study does not prove anything. You’d need a lot more evidence than that.
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    Can you replace politicians I feel like that would actually be an improvement. Hell it'd probably be an improvement if the current system's replaced politicians. To be honest though I've never seen any evidence that AGI is inevitable, it's perpetually 6 months away except in 6 months it'll still be 6 months away.
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    Especially when the poster does not disclose that it's AI. The perpetual Youtube rabbit hole occasionally lands on one of these for me when I leave it unsupervised, and usually you can tell from the "cover" art. But only if you're looking at it. Because if you just leave it going in the background eventually you start to realize, "Wow, this guy really tripped over the fine line between a groove and rut." Then you click on it and look: Curses! Foiled again. And golly gee, I'm sure glad Youtube took away the option to oughtright block channels. I'm sure that's a total coincidence. W/e. I'm a have-it-on-my-hard-drive kind of bird. Yt-dlp is your friend. Just use it to nab whatever it is you actually want and let your own media player decide how to shuffle and present it. This works great for big name commercial music as well, whereupon the record labels are inevitably dumb enough to post songs and albums in their entirety right there you Youtube. Who even needs piracy sites at that rate? Yoink!
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    Forgive me for not explaining better. Here are the terms potentially needing explanation. Provisioning in this case is initial system setup, the kind of stuff you would do manually after a fresh install, but usually implies a regimented and repeatable process. Virtual Machine (VM) snapshots are like a save state in a game, and are often used to reset a virtual machine to a particular known-working condition. Preboot Execution Environment (PXE, aka ‘network boot’) is a network adapter feature that lets you boot a physical machine from a hosted network image rather than the usual installation on locally attached storage. It’s probably tucked away in your BIOS settings, but many computers have the feature since it’s a common requirement in commercial deployments. As with the VM snapshot described above, a PXE image is typically a known-working state that resets on each boot. Non-virtualized means not using hardware virtualization, and I meant specifically not running inside a virtual machine. Local-only means without a network or just not booting from a network-hosted image. Telemetry refers to data collecting functionality. Most software has it. Windows has a lot. Telemetry isn’t necessarily bad since it can, for example, help reveal and resolve bugs and usability problems, but it is easily (and has often been) abused by data-hungry corporations like MS, so disabling it is an advisable precaution. MS = Microsoft OSS = Open Source Software Group policies are administrative settings in Windows that control standards (for stuff like security, power management, licensing, file system and settings access, etc.) for user groups on a machine or network. Most users stick with the defaults but you can edit these yourself for a greater degree of control. Docker lets you run software inside “containers” to isolate them from the rest of the environment, exposing and/or virtualizing just the resources they need to run, and Compose is a related tool for defining one or more of these containers, how they interact, etc. To my knowledge there is no one-to-one equivalent for Windows. Obviously, many of these concepts relate to IT work, as are the use-cases I had in mind, but the software is simple enough for the average user if you just pick one of the premade playbooks. (The Atlas playbook is popular among gamers, for example.) Edit: added explanations for docker and telemetry
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