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Recently I've had a related observation while browsing a different website, which has an amount of bots and shills. But interestingly people seem to really despise it if you call a bot a bot, or a shill a shill. They might defend some obvious AI slop by saying "it's not a crime to write well" or "many people use em-dashes legitimately" or even just call you an idiot with no further explanation. All humanly written posts, all defending an obvious bot with vigor. I saw a similar thing on a local Facebook group, where an obvious paid shill posted a wall of text clearly written by ChatGPT, yet everybody just ate it up. It seems like when you bring up concerns, you end up as the bad guy for disturbing the peace, while the bot is the good guy because it's following the right conventions.
I remember a previous discussion about non-autistic vs autistic communication, where autistic communication is centered around an exchange of facts, while the core of non-autistic communication is emotional signalling. It seems that that this phenomenon extends to bad actors insofar as they can provide the right emotional cues to be accepted. Or at least people feel that it's not a disqualifying factor from engaging at face value. Meanwhile I know a shill is paid to say anything necessary in order to spread his message, and a bot is just a program with no emotions or sense of true or false.
But I think this touches on the idea of arguments as soldiers. To many people, it likely doesn't matter what the facts are, just the emotional message that they encode. And while debunkings exist, the practice they just act as another soldier from the other side knocking on the door.
Looping back into current events, it seems like there's little incentive for the administration not to bend the truth. The enemy was already deploying their rapid response arguments with zero regard for the truth, saying that a boneheaded ice agent just executed an innocent bystander on the street in cold blood. What good does it do to say "The agent made a split second judgement thinking he was grabbing a gun, which turned out to be the wrong call" (the truth) versus "an armed and violent individual resisted arrest and was shot while police were trying to disarm him" (not technically a lie). Twitter autists might try to go over the frame by frame, but for everyone else they're gonna live the lie.
We're increasingly living in a version of the Matrix but with AI on the Internet. You're trying to hand red pills to those blissfully living in the Dead Internet. I sense we're increasingly going to be divided into those who can instantly recognize AI slop and normies who can't tell the signs, accusing authentic content of being AI and passing AI content as genuine. I think this is going to be IQ and age-loaded similar to computer literacy. If you're smart, you can clock AI-generated images from just the uncanny shading, thumbnails from the ridiculous exaggerated expressions (and also the distorted lighting), and you could probably distinguish the text from the vague genericness even without the em-dashes. If a video is from a channel with a generic two-noun name, and has those word highlighting, auto-generated subtitles, then I can suspect it's AI slop and not click on it.
Young people probably have an advantage in brain nubility and increased exposure to a lot of online content in general to recognize patterns. Even dumber people will probably learn certain signs but just slower. For boomers, however, AI slop is just another item in the list of entities on the Internet trying to deceive them, appended to the list after deceptive advertisement and scam emails. There's also an effect similar to Gell-Mann Amnesia, where people will recognize output in their own domain of expertise as vapid, generic fluff, even if they don't recognize it as AI-generated, but outside their domain, they won't instantly see just how uninsightful the output really is.
As AIs improve, I suspect we’ll end up in a situation where no one will be able to tell whether something was written by a human or an AI. The thing that makes AI writing uncanny now is that it’s much better than average (seriously, most people suck at writing), while at the same time curiously devoid of real content.
I agree. I've gotten a lot better at recognizing AI-generated content, but given the rate of progress, it seems like a losing battle.
Unless there's a giant paradigm shift to some breakthrough outside of LLMs, I think you'll eke out an edge over all. With diminishing returns, the investment per gain appears to grow exponentially, and augmentations like reasoning models don't seem to have a proper pathway back into the training process, which I believe is still just the broad contents of the Internet and literature.
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