Top Tweets for #Modelcollapse
Tune in NOW for the premiere of “Model Collapse,” the latest music video from Agentic Summer.
It’s got vintage panic, collapsing buildings, and runaway energy.
https://t.co/pR6BcJkROP
#ModelCollapse #MusicVideo #ArchivalFootage #AI #IndieMusic #newmusic
@MariaBartiromo @MorningsMaria @FoxBusiness What a tool - that wannabe Dr. Evil is WRONG again! AI will do neither... it's an unsustainable bubble that will burst when ppl find out about #ModelCollapse on top of hallucinations, dangerous sycophantic behavior, and a ton of immortality.
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.

You have noticed that too. Google Search is getting worse. The results look professional but say nothing. The answers are longer but less useful. Every page reads like it was written by the same voice.
You thought Google was broken. It is not broken. It is being replaced.
Researchers published a paper at the ACM Web Conference 2026 proving what is happening. They call it Retrieval Collapse.
Here is the mechanism in one sentence. AI-generated content is flooding the internet so fast that search engines are now showing you mostly AI-written pages. And the search engine cannot tell the difference.
They ran a controlled experiment. They started with a pool of real, human-written web pages. Then they gradually added AI-generated content until it made up 67% of the pool.
By that point, over 80% of the top search results were AI-generated. Not 67%. Over 80%. The ranking algorithm did not just let AI content in. It preferred it. The AI-written pages were better optimized, more fluent, and more keyword-rich than the human pages. They outranked the originals.
Here is the part that makes this invisible.
Answer accuracy stayed the same. The search results still looked correct. The information was still technically right. If you measured quality by accuracy alone, nothing appeared wrong.
But source diversity collapsed. Nearly every result came from the same type of content. AI-written. AI-optimized. AI-structured. The human-written pages, the ones with original reporting, personal experience, and genuine expertise, were buried.
The researchers describe a two-stage collapse. Stage one is Dominance. High-quality AI content silently takes over the top results. Everything looks fine. Accuracy is stable. Nobody notices. Stage two is Corruption. Once AI dominates the pipeline, adversarial and low-quality content starts slipping through. By then, the system is too dependent on synthetic sources to course-correct.
A separate analysis found that 74.2% of newly published web pages now contain AI-generated content. Organic click-through rates on pages with AI summaries have dropped 61%. The human internet is being outranked by the machine internet.
Model Collapse described what happens when AI trains on AI. The models get dumber. Retrieval Collapse describes what happens when search engines index AI. The results get emptier.
Both are happening right now. At the same time. And neither one looks broken from the outside.
The search engine still returns ten blue links. The links still load. The pages still answer your question. But the thing that used to make those answers trustworthy, a human who actually knew something, is being quietly replaced by a machine that sounds like it does.

Große KI-Sprachmodelle sind wie das Feuer: Ein nützliches Werkzeug, aber eines, das Umwelt und Gesellschaft verwüsten kann. #ModelCollapse
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.

After two decades of research into digital libraries and ML/AI models, I’m thrilled my research on #AI #ModelCollapse is published today in IP & Comp. L.J.
I use tools from economics to examine the problem.
My thesis? The digital economy is facing a new "Great Inflation." 🧵👇

@GergelyOrosz The internet is AI slop. They continue to calibrate based on edge data.
What you are experiencing is the start of LLM #modelCollapse
LLM are a failed business model.
Anthropic is cleaning up its books for IPO to make retail hold the bag.
Enshitification is not AGI
Demain, c'est VOUS qui la monétisez.CheckHC crée la preuve. Vous en êtes propriétaire.
Votre richesse future, vous la détenez déjà.
#IA #modelcollapse #machinelearning #futur
You own it. Your future wealth is already in your hands.
#AI #modelcollapse #machinelearning #future
Cuidado con la autofagia de la IA:
si los modelos se entrenan con datos sintéticos de otros modelos, colapsan.
2026 no va de modelos más grandes,
va de SLMs eficientes y especializados.
Calidad > Cantidad.
#IA #ModelCollapse #DataScience #2026Trends
Will the influx of synthetic data lead to uniform #ModelCollapse across the internet?
Our recent #EMNLP2025 (Oral) paper suggests a nuanced picture: different collapse dynamics might emerge in different internet domains based on the properties of human data in those domains! 🧵

@csentropy this entropy deep dive is gold – model collapse from low diversity data is the silent killer in AI. Reminds me of blockchain RNG, where entropy = security. Quick fix: mix real-world chaos in training! What's your go-to entropy hack? 🧠🔥 #AIEntropy #ModelCollapse #AI
This is not an NVDA or AI exhaustion. It is the market pricing that the Fed will fuck up at FOMC in december as they usually do.
Dal capitalismo finanziario al capitalismo cognitivo: chi controlla l’IA controlla il futuro
https://t.co/2BoxRtcD3J
#ai #ia #intelligenzaartificiale #intelligenzartificiale #capitalismocognitivo #capitalismofinanziario #capitalismoindustriale #modelcollapse #stochasticparrots
A #modelcollapse happens when AI is trained on earlier AI generated data, and that issue is as of 2025 still not solved. What exists are workable mitigations, not a universal fix.
https://t.co/QJkpfp7QHW
ʼಗುಜರಾತ್ ಮಾಡೆಲ್ʼ : ಸುಳ್ಳಿನ ಸೌಧ ಕುಸಿಯುತ್ತಿದೆ, ಬಿಜೆಪಿ ಬೆತ್ತಲಾಗುತ್ತಿದೆ!
#GujaratModel #TruthExposed #BJPUnderFire #PoliticalReality #MythBusted #GovernanceCrisis #PublicAwareness #FalseNarratives #ModelCollapse #PoliticalAccountability #IndiaPolitics

AI without real-world data is just a ghost in a machine, talking to itself until it goes insane. This is 'model collapse'.
DePIN is the tether to reality, the anchor that prevents the drift. Checkmate, echo chambers.
#AI #DePIN #ModelCollapse
@MrEwanMorrison Recursive self-sampling corrodes any info system-whether trading stocks, breeding genomes, or predicting next tokens-amplifying errors and eroding diversity. Without fresh inputs, quality and reliability inevitably decline. #ModelCollapse #AI #DataQuality #SystemsThinking
📖 To dive deeper, checkout these research papers 👇
Shumailov et al., 2024 ( https://t.co/8zZliOnRwb )
Gerstgrasser et al., 2024 (https://t.co/XpD4DLcaWn)
Follow @Shankusu993 for more on AI and Blockchains!
#AI #Resesrch #ModelCollapse [7/7]
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
They find that accumulating data over time, rather than replacing old data with new synthetic data, helps avoid collapse.
#SyntheticData #ModelCollapse
https://t.co/MYszpmryQS

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