

@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.
@Telorand@reddthat.com
To me, personally, I read that sentence as follows:
“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)
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”)
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.
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.
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”.
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Maybe I’m naive to make this specific interpretation from what Lewis said, but it’s how I see and think about things.