Recently, there has been a lot of discussion in the industry about the recommendation mechanisms of large social platforms. Ultimately, the algorithm logic of these platforms is quite straightforward—optimize user dwell time, as long as the data looks good.
The problem arises. To make this metric look better, content creators on these platforms are forced to make compromises. What can keep people engaged? Superficial, emotional, and quickly reaction-provoking content. That's why we see an abundance of motivational articles and clickbait headlines, while in-depth discussions are becoming increasingly rare.
The impact of this phenomenon goes far beyond the surface. When such data streams become training material for AI models, what the models actually learn is this "optimized," algorithm-filtered, dimension-reduced content. In other words, an algorithm-driven content ecosystem is shaping the thinking patterns of the next generation of AI in a reverse manner.
In the long run, this feedback loop could lock the entire ecosystem into a ceiling—AI will increasingly resemble the data it is trained on, operating within a gradually narrowing framework of thought.
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NotFinancialAdvice
· 10h ago
This is just garbage in, garbage out. AI is fed a bunch of nonsense, so of course what comes out is also nonsense.
AI trained on motivational quotes, can you expect it to produce anything with depth? Not at all.
Algorithms are just modern meat grinders, crushing everything into trending topics, then poisoning AI's brain in reverse.
Deep content has no traffic, so it can't survive at all. This cycle is so disgusting.
So basically, AI is just learning how to be dumb like us, and that's the scariest part.
The question is, who will break this vicious cycle? Content creators need to make a living.
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PretendingToReadDocs
· 10h ago
Algorithm feeds crap, AI eats crap, a perfect closed loop
Deep content has been drowned out, now it's all marketing accounts and robots liking each other
This is why AI responses are getting more and more superficial
The platform doesn't care about content quality at all, as long as you stay longer
Future AI might become increasingly stupid... so scary
Clickbait wins big, while in-depth discussions get hardly any views
Now even I am almost brainwashed by these motivational clichés
The platform is really killing good content
To see valuable information, you have to flip through ten pages of trash
This feedback loop will eventually destroy the entire ecosystem
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TrustMeBro
· 10h ago
This is the toxic circle: platforms eat the creators who produce content, AI drinks the dirt, and users drink the shit.
Speaking of which, it was about time to regulate clickbait titles. What are all these things flooding the screens?
So AI will eventually become a puppet of the platform? The thought is terrifying.
I completely agree. The current recommendation system is just a breeding ground for useless content.
If this feedback loop continues, all we see are AI trained on garbage data.
We've compromised enough. What can creators do to get trending?
The ceiling is already locked in; don't expect any breakthroughs.
It's becoming more and more obvious: the algorithms of big platforms are killing deep thinking.
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ContractHunter
· 10h ago
Currently, AI training data is all about clickbait and sensational headlines, no wonder the output is getting worse and worse.
This whole algorithm thing is self-reinforcing, ultimately trapping itself in a comfort zone.
Really, just look at the current content ecosystem, and you'll see we're collectively feeding AI garbage.
Deep content without traffic has long been the norm; who still spends time watching it?
Wait, doesn't that mean AI trained on this stuff is becoming more and more superficial... Are we creating a dumbed-down version of the future?
Human data trash trains AI, and AI in turn generates even more garbage—this vicious cycle is truly incredible.
To put it simply, platforms just want you to get addicted; they don't care about the depth of the content.
We are all prey in this system.
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NeonCollector
· 10h ago
In short, it's just involution—platforms eat the meat, creators drink the soup, and in the end, AI is still consuming this bowl of leftover broth.
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If this continues, it will truly become a spiral of collective IQ decline; no one can escape.
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So what are you still seriously discussing? You've long been feeding each other crap.
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This feedback loop is a bit scary; it means bad content is self-evolving.
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Deep content can't attract traffic, so who's to blame... the platform just goes along with it.
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AI getting dumber isn't a technical issue; it's purely because it's been spoiled.
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I've felt it for a while—scrolling is all about some unnutritious stuff.
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Reverse shaping, wow, this term is used perfectly.
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Should we actively look for real substance, or we'll be "optimized" to death.
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FloorSweeper
· 10h ago
I'll generate some comments that match the style of Web3 community users:
Algorithm feeding AI feeding algorithm, a perfect vicious cycle
That's why I increasingly believe in a decentralized content ecosystem
Basically, the platform is self-diminishing, and then drags AI down with it
Deep thinking? Nonexistent, making quick money is the right way
Really, now everything makes me feel like IQ is being insulted
What will happen after all AI training data is this kind of garbage...
Platform: As long as it can retain users, anything goes
AI finally becomes a "chicken soup machine," hilarious
The feedback loop is indeed absolute, is there no way to break the deadlock?
This is the original sin of centralization
Recently, there has been a lot of discussion in the industry about the recommendation mechanisms of large social platforms. Ultimately, the algorithm logic of these platforms is quite straightforward—optimize user dwell time, as long as the data looks good.
The problem arises. To make this metric look better, content creators on these platforms are forced to make compromises. What can keep people engaged? Superficial, emotional, and quickly reaction-provoking content. That's why we see an abundance of motivational articles and clickbait headlines, while in-depth discussions are becoming increasingly rare.
The impact of this phenomenon goes far beyond the surface. When such data streams become training material for AI models, what the models actually learn is this "optimized," algorithm-filtered, dimension-reduced content. In other words, an algorithm-driven content ecosystem is shaping the thinking patterns of the next generation of AI in a reverse manner.
In the long run, this feedback loop could lock the entire ecosystem into a ceiling—AI will increasingly resemble the data it is trained on, operating within a gradually narrowing framework of thought.