#theaicon — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #theaicon, aggregated by home.social.
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File under: AI Resistance
I'm reading – and enjoying immensely – @emilymbender and @alex's book #TheAICon.
I've been learning a lot of things and something that really stood out recently is the need to be careful about the language we use to describe these systems. Bender and Hanna helpfully explain:
"It matters what words we use when we talk about these technologies. For instance, in our writing, we don’t use the term “hallucination” to discuss the errors of LLMs, for two reasons. First, if it’s used tongue-in-cheek, it is making light of what can be symptoms of serious mental illness. Second,
“hallucination” refers to the experience of perceiving things that aren’t there. But LLMs actually don’t have perceptions, and suggesting that they do is yet more unhelpful anthropomorphization. That means we also avoid assigning thought processes to these systems, or saying that they can
“think”. Metaphors have power, they structure the frames of discourse, and they can subtly and insidiously encourage certain ways of understanding technology and the social systems it is embedded in."Antropomorphizing AI contributes to AI hype. Thanks Emily and Alex for helping me see things this way!
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RE: https://dair-community.social/@emilymbender/116098129762953036
Professor Emily M. Bender's replies are always so on point—huge recommendation if you want to know about the problems with #AI
#noAI #artificialIntelligence #LLMs #LargeLanguageModels #genAI #ChatBots #vibeCoding #TheAICon #ComputationalLinguistics #AgentsOfTech #DataWorkers #AI2027 #AGI #artificialGeneralIntelligence #GeoffreyHinton #AIReasoning #NeuralNetworks #EmilyBender #ReinforcementLearning #AIHype
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RE: https://dair-community.social/@emilymbender/116098129762953036
Professor Emily M. Bender's replies are always so on point—huge recommendation if you want to know about the problems with #AI
#noAI #artificialIntelligence #LLMs #LargeLanguageModels #genAI #ChatBots #vibeCoding #TheAICon #ComputationalLinguistics #AgentsOfTech #DataWorkers #AI2027 #AGI #artificialGeneralIntelligence #GeoffreyHinton #AIReasoning #NeuralNetworks #EmilyBender #ReinforcementLearning #AIHype
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RE: https://dair-community.social/@emilymbender/116098129762953036
Professor Emily M. Bender's replies are always so on point—huge recommendation if you want to know about the problems with #AI
#noAI #artificialIntelligence #LLMs #LargeLanguageModels #genAI #ChatBots #vibeCoding #TheAICon #ComputationalLinguistics #AgentsOfTech #DataWorkers #AI2027 #AGI #artificialGeneralIntelligence #GeoffreyHinton #AIReasoning #NeuralNetworks #EmilyBender #ReinforcementLearning #AIHype
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RE: https://dair-community.social/@emilymbender/116098129762953036
Professor Emily M. Bender's replies are always so on point—huge recommendation if you want to know about the problems with #AI
#noAI #artificialIntelligence #LLMs #LargeLanguageModels #genAI #ChatBots #vibeCoding #TheAICon #ComputationalLinguistics #AgentsOfTech #DataWorkers #AI2027 #AGI #artificialGeneralIntelligence #GeoffreyHinton #AIReasoning #NeuralNetworks #EmilyBender #ReinforcementLearning #AIHype
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RE: https://dair-community.social/@emilymbender/116098129762953036
Professor Emily M. Bender's replies are always so on point—huge recommendation if you want to know about the problems with #AI
#noAI #artificialIntelligence #LLMs #LargeLanguageModels #genAI #ChatBots #vibeCoding #TheAICon #ComputationalLinguistics #AgentsOfTech #DataWorkers #AI2027 #AGI #artificialGeneralIntelligence #GeoffreyHinton #AIReasoning #NeuralNetworks #EmilyBender #ReinforcementLearning #AIHype
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RE: https://chaos.social/@epicenter_works/116492792687041985
This is exactly the scenario that @emilymbender and @alex have warned us about in their excellent book "The AI Con" (https://thecon.ai).
The book contains several examples where using stochastic parrots to "make" decisions has severely backfired.
Imho this book should be mandatory reading for anyone holding a public office.
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In #technofeudalism and #antihumanism:
The narrative of #AI's “inevitability” is a tactic used by tech companies to discourage resistance and encourage compliance.
[…] When tech boosters want to demonise resistance, they invoke the luddites. By their telling, the luddites were primitive idiots, who smashed machines they were too stupid to understand. History though, tells a different story. As recounted by Brian Merchant’s sublime work Blood in the Machine, luddites were skilled artisans, fighting for their way of life against the “satanic mills” – textile sweatshops powered by child semi-slaves. Forbidden from unionising, luddites smashed machines as a protest tactic. And they did not lose to the inevitable march of progress. They lost to physical force. The government called in troops, and the luddites were either executed or shipped to penal colonies in Australia.
https://www.theguardian.com/books/2026/apr/12/is-ai-the-greatest-art-heist-in-history
#technofeudalism #antihumanism #ai #promptingwithhitler #nerdreich #llm #theaicon #aihype #histodons
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In #technofeudalism and #antihumanism:
The narrative of #AI's “inevitability” is a tactic used by tech companies to discourage resistance and encourage compliance.
[…] When tech boosters want to demonise resistance, they invoke the luddites. By their telling, the luddites were primitive idiots, who smashed machines they were too stupid to understand. History though, tells a different story. As recounted by Brian Merchant’s sublime work Blood in the Machine, luddites were skilled artisans, fighting for their way of life against the “satanic mills” – textile sweatshops powered by child semi-slaves. Forbidden from unionising, luddites smashed machines as a protest tactic. And they did not lose to the inevitable march of progress. They lost to physical force. The government called in troops, and the luddites were either executed or shipped to penal colonies in Australia.
https://www.theguardian.com/books/2026/apr/12/is-ai-the-greatest-art-heist-in-history
#technofeudalism #antihumanism #ai #promptingwithhitler #nerdreich #llm #theaicon #aihype #histodons
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In #technofeudalism and #antihumanism:
The narrative of #AI's “inevitability” is a tactic used by tech companies to discourage resistance and encourage compliance.
[…] When tech boosters want to demonise resistance, they invoke the luddites. By their telling, the luddites were primitive idiots, who smashed machines they were too stupid to understand. History though, tells a different story. As recounted by Brian Merchant’s sublime work Blood in the Machine, luddites were skilled artisans, fighting for their way of life against the “satanic mills” – textile sweatshops powered by child semi-slaves. Forbidden from unionising, luddites smashed machines as a protest tactic. And they did not lose to the inevitable march of progress. They lost to physical force. The government called in troops, and the luddites were either executed or shipped to penal colonies in Australia.
https://www.theguardian.com/books/2026/apr/12/is-ai-the-greatest-art-heist-in-history
#technofeudalism #antihumanism #ai #promptingwithhitler #nerdreich #llm #theaicon #aihype #histodons
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In #technofeudalism and #antihumanism:
The narrative of #AI's “inevitability” is a tactic used by tech companies to discourage resistance and encourage compliance.
[…] When tech boosters want to demonise resistance, they invoke the luddites. By their telling, the luddites were primitive idiots, who smashed machines they were too stupid to understand. History though, tells a different story. As recounted by Brian Merchant’s sublime work Blood in the Machine, luddites were skilled artisans, fighting for their way of life against the “satanic mills” – textile sweatshops powered by child semi-slaves. Forbidden from unionising, luddites smashed machines as a protest tactic. And they did not lose to the inevitable march of progress. They lost to physical force. The government called in troops, and the luddites were either executed or shipped to penal colonies in Australia.
https://www.theguardian.com/books/2026/apr/12/is-ai-the-greatest-art-heist-in-history
#technofeudalism #antihumanism #ai #promptingwithhitler #nerdreich #llm #theaicon #aihype #histodons
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In #technofeudalism and #antihumanism:
The narrative of #AI's “inevitability” is a tactic used by tech companies to discourage resistance and encourage compliance.
[…] When tech boosters want to demonise resistance, they invoke the luddites. By their telling, the luddites were primitive idiots, who smashed machines they were too stupid to understand. History though, tells a different story. As recounted by Brian Merchant’s sublime work Blood in the Machine, luddites were skilled artisans, fighting for their way of life against the “satanic mills” – textile sweatshops powered by child semi-slaves. Forbidden from unionising, luddites smashed machines as a protest tactic. And they did not lose to the inevitable march of progress. They lost to physical force. The government called in troops, and the luddites were either executed or shipped to penal colonies in Australia.
https://www.theguardian.com/books/2026/apr/12/is-ai-the-greatest-art-heist-in-history
#technofeudalism #antihumanism #ai #promptingwithhitler #nerdreich #llm #theaicon #aihype #histodons
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The AI Great Leap Forward
Similar to the #Chinese Great Leap Forward's inflated grain production reports, companies are fabricating or exaggerating #AI adoption and productivity gains to please leadership, leading to increased investment based on made up numbers. The focus seem to have shifted from genuine AI development to "demoware" – impressive-looking prototypes and interfaces with little underlying validation, data infrastructure, or maintenance plans, creating future tech debt.
[…] Entire departments are stitching together n8n workflows and calling it AI — dozens of automated chains firing prompts into models, zero evaluation on any of them. These tools are merchants of complexity: they sell visual simplicity while generating spaghetti underneath. A drag-and-drop canvas makes it trivially easy to chain ten LLM calls together and impossibly hard to debug why the eighth one hallucinates on Tuesdays. The people building these workflows have never designed an evaluation pipeline, never measured model drift, never A/B tested a prompt. They don’t need to — the canvas looks clean, the arrows point forward, the green checkmarks fire. The complexity isn’t avoided. It’s hidden behind a GUI where nobody with ML expertise will ever look.
https://leehanchung.github.io/blogs/2026/04/05/the-ai-great-leap-forward/
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[...] “I think there’s a small but real chance he’s eventually remembered as a Bernie Madoff- or Sam Bankman-Fried-level scammer.”
Senior executive at #Microsoft about #OpenAI's Sam Altman.
https://www.newyorker.com/magazine/2026/04/13/sam-altman-may-control-our-future-can-he-be-trusted or https://archive.ph/9jqJ7
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[…] Even if the accuracy problems were solved, and AI-generated summaries reliably captured all the essential points of a text, it would still be a bad idea to use them. Creating your own summaries is a crucial step in any literature study. When you read and summarize a text, you create the neural connections necessary to memorize and apply the information well in an exam, experiment, or research paper. Generating it with a click is a harmful form of cognitive offloading and will erode these skills. Writing it yourself will reveal the nuances of an academic text and allow you to register those elements that you deem essential to whatever you are working on.
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[…] That’s why they are doing everything they can to convince you that you actually do not have the ability to think those thoughts, and that none of the ideas you might have about your own future are ideas that can actually be realized. It’s a big win for them, in their quest to persuade you of your powerlessness, that they have gotten your university to adapt their marketing language for its official statements, to shape its academic programming around the presumption of their indefinite economic primacy, and to pay for you to have free access to technologies that will make it harder — the more you use them — to know yourself to be a free intellectual, creative and moral agent.
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[…] Rewarding confidence over actual competence is a bug humanity has always had. It has produced disasters throughout history, it is producing disasters now, and not only in the tech world.
https://it-notes.dragas.net/2026/03/20/enshittifaication/
Integrating AI into customer service is as dumb as you’d expect. The enshittification of services, where companies replace human expertise with AI, will lead to confusion, wasted time, and a decline in reliability. All of this is driven by a misplaced trust in AI's assertive but often incorrect pronouncements. Anyone who used these tools for a while learned to live with the disappointment. AI is not even close to delivering most of what these companies claim it will.
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[…] #OpenAI, which will likely never be profitable, is now valued higher than some of the most established tech companies on the planet. A company that burns through cash faster than it can generate revenue, and yet investors keep lining up. It’s not a market anymore, it’s a collective delusion backed by hype and #FOMO.
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Anthropic and The Authoritarian Ethic https://blog.giovanh.com/blog/2026/03/03/anthropic-and-the-authoritarian-ethic/?campaign=tw
The real national-security crisis under Trump’s regime is the erosion of #democracy. Their demand that contractors drop basic usage limits or face blacklisting, nationalization, or ruin isn’t a policy dispute; it is an authoritarian loyalty test. It is also hypocritical, given #Anthropic’s existing DoD contracts and reports that Claude was used in the Maduro illegal kidnapping.
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Generative AI vegetarianism is a deliberate rejection of these tools, prioritizing ethical consumption and human-centric alternatives. While some applications, such as #OCR and data accessibility, are beneficial, the industry’s narrative downplays the ethical harms while overstating the promises.
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Your #LLM Doesn't Write Correct Code. It Writes Plausible Code.
Deployment is an act of faith, not engineering.
[…] THIS is the failure mode. Not broken syntax or missing semicolons. The code is syntactically and semantically correct. It does what was asked for. It just does not do what the situation requires. In the SQLite case, the intent was “implement a query planner” and the result is a query planner that plans every query as a full table scan. In the disk daemon case, the intent was “manage disk space intelligently” and the result is 82,000 lines of intelligence applied to a problem that needs none. Both projects fulfill the prompt. Neither solves the problem.
https://blog.katanaquant.com/p/your-llm-doesnt-write-correct-code -
@jani “worse than stupidity”
In a slightly different context but very much the same issues. Cloud services indeed traded convenience for diminished software freedom, control and privacy... as we can see today user fleeing US based services. Even #Proton can't guarantee protection to its customers, as we saw recently.
https://www.theguardian.com/technology/2008/sep/29/cloud.computing.richard.stallman
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One thing I thought #LLMs were good for was translation. Apparently #Gemini and others aren’t that great at that either.
#Wikipedia restricted contributors from a nonprofit called the Open Knowledge Association (#OKA) after editors discovered #AI-assisted translations added factual errors and incorrect citations.
As predicted, humans will be relegated to cleaning up the mess LLMs leave behind, for salaries far below the value of full-time employment to do the job properly.
[…] Zimmerman added that if this method proves insufficient, OKA is considering introducing formal peer‑review mechanisms.
https://www.404media.co/ai-translations-are-adding-hallucinations-to-wikipedia-articles/
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One thing I thought #LLMs were good for was translation. Apparently #Gemini and others aren’t that great at that either.
#Wikipedia restricted contributors from a nonprofit called the Open Knowledge Association (#OKA) after editors discovered #AI-assisted translations added factual errors and incorrect citations.
As predicted, humans will be relegated to cleaning up the mess LLMs leave behind, for salaries far below the value of full-time employment to do the job properly.
[…] Zimmerman added that if this method proves insufficient, OKA is considering introducing formal peer‑review mechanisms.
https://www.404media.co/ai-translations-are-adding-hallucinations-to-wikipedia-articles/
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One thing I thought #LLMs were good for was translation. Apparently #Gemini and others aren’t that great at that either.
#Wikipedia restricted contributors from a nonprofit called the Open Knowledge Association (#OKA) after editors discovered #AI-assisted translations added factual errors and incorrect citations.
As predicted, humans will be relegated to cleaning up the mess LLMs leave behind, for salaries far below the value of full-time employment to do the job properly.
[…] Zimmerman added that if this method proves insufficient, OKA is considering introducing formal peer‑review mechanisms.
https://www.404media.co/ai-translations-are-adding-hallucinations-to-wikipedia-articles/
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One thing I thought #LLMs were good for was translation. Apparently #Gemini and others aren’t that great at that either.
#Wikipedia restricted contributors from a nonprofit called the Open Knowledge Association (#OKA) after editors discovered #AI-assisted translations added factual errors and incorrect citations.
As predicted, humans will be relegated to cleaning up the mess LLMs leave behind, for salaries far below the value of full-time employment to do the job properly.
[…] Zimmerman added that if this method proves insufficient, OKA is considering introducing formal peer‑review mechanisms.
https://www.404media.co/ai-translations-are-adding-hallucinations-to-wikipedia-articles/
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One thing I thought #LLMs were good for was translation. Apparently #Gemini and others aren’t that great at that either.
#Wikipedia restricted contributors from a nonprofit called the Open Knowledge Association (#OKA) after editors discovered #AI-assisted translations added factual errors and incorrect citations.
As predicted, humans will be relegated to cleaning up the mess LLMs leave behind, for salaries far below the value of full-time employment to do the job properly.
[…] Zimmerman added that if this method proves insufficient, OKA is considering introducing formal peer‑review mechanisms.
https://www.404media.co/ai-translations-are-adding-hallucinations-to-wikipedia-articles/
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#DigitalColonialism Good to see it’s finally being discussed in mainstream media. It’s not just exploitation and low wages it’s also trauma and mental health. Bender & Hanna’s The AI Con exposes the industry’s hype and how trauma is outsourced to the “Global South”.
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#DigitalColonialism Good to see it’s finally being discussed in mainstream media. It’s not just exploitation and low wages it’s also trauma and mental health. Bender & Hanna’s The AI Con exposes the industry’s hype and how trauma is outsourced to the “Global South”.
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#DigitalColonialism Good to see it’s finally being discussed in mainstream media. It’s not just exploitation and low wages it’s also trauma and mental health. Bender & Hanna’s The AI Con exposes the industry’s hype and how trauma is outsourced to the “Global South”.
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#DigitalColonialism Good to see it’s finally being discussed in mainstream media. It’s not just exploitation and low wages it’s also trauma and mental health. Bender & Hanna’s The AI Con exposes the industry’s hype and how trauma is outsourced to the “Global South”.
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#DigitalColonialism Good to see it’s finally being discussed in mainstream media. It’s not just exploitation and low wages it’s also trauma and mental health. Bender & Hanna’s The AI Con exposes the industry’s hype and how trauma is outsourced to the “Global South”.
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Contrary to what I'm reading, #Claude is far worse than I remember. It often doesn't fully understand simple questions and needs nudging - and as in this case, can't solve even trivial problems which only require careful reading of the log.
It took #Kimi 10secs to solve a problem with an api call to a #docling
server crashing when accessed over its api. I used Kimi in the browser. #ClaudeCode Sonnet 4.6 had full access to the actual server and couldn't solve the issue after 30 mins of repeated attempts.```
The root cause is clear: **Docling workers are crashing due to missing EasyOCR dependency**, causing the async jobs to fail. OpenWebUI polls for results, gets a 404 because the job died, and reports "Task result not found."**Fix the Docling installation:**
```bash
# Stop the service
sudo launchctl unload /Library/LaunchDaemons/com.docling-serve.plist# Install EasyOCR in the correct uv tool environment
uv tool install --upgrade docling-serve --with easyocr# Or if that doesn't work, run the specific Python interpreter:
/Users/urisharf/.local/share/uv/tools/docling-serve/bin/python -m pip install easyocr# Reload
sudo launchctl load /Library/LaunchDaemons/com.docling-serve.plist
```**Alternative (if you don't need OCR):** Configure Docling to use a different OCR engine or disable it. Check Docling's env vars for `DOCLING_OCR_ENGINE` or similar.
**Verify the fix:**
```bash
curl -X POST http://mbp.lan:5001/v1/convert/source \
-H "Content-Type: application/json" \
-d '{"source": "https://arxiv.org/pdf/2206.01062.pdf"}'
```The duplicate `libavdevice` dylibs warning is harmless noise from Gradio/CV2 conflicts, but the EasyOCR error is fatal.
``` -
Can companies that thrived on scraping others’ data credibly claim moral high ground when the tables turn?
https://nymag.com/intelligencer/article/why-ai-companies-are-suddenly-worried-about-theft.html
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Several gaming sites, including The Escapist and Videogamer, have replaced human staff with #AI writers, generating fake bios and articles, after being acquired by Clickout Media.
[…] “This downscaling of staff in the game media is widespread, and we’ve seen several large American operations hit hard in recent years.”
https://pressgazette.co.uk/news/staff-journalists-sacked-and-misleadingly-replaced-with-ai-writers/
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Journalist Tom Germain created a fake page claiming to rank “the best tech journalists at eating hot dogs.” Despite it being obviously false, within a day or two, #Google’s #Gemini and #ChatGPT began repeating the nonsense, showing how easily generative systems can absorb and echo deceptive material when it looks legitimate enough to scrape.
Via Schneier on Security https://www.schneier.com/blog/archives/2026/02/poisoning-ai-training-data.html
Also https://terribleminds.com/ramble/
IMHO This fundamental problem with LLMs, the fact that they’re lacking any form of intelligence, not even that of a toddler, is dangerous when applied to high‑stake information. The term #AI should really be banned, and the disclaimer at the bottom of chatbot windows should simply say: “You’re talking to a parrot.”
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LLMs Don’t.
Model Collapse Ends AI Hype. George D. Montañez, PhD.
LLMs Don’t Think: They process tokens via statistical patterns, lacking internal states or understanding
LLMs Don’t Reason: They exploit superficial cues and rationalize answers post-hoc, failing at adaptive problem-solving
LLMs Don’t Create: They recycle and degrade existing information, unable to escape the "syntax trap" (manipulating symbols without semantic grounding)
https://yewtu.be/ShusuVq32hc or on the #nerdreich ’s attention farm https://youtu.be/ShusuVq32hc
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LLMs Don’t.
Model Collapse Ends AI Hype. George D. Montañez, PhD.
LLMs Don’t Think: They process tokens via statistical patterns, lacking internal states or understanding
LLMs Don’t Reason: They exploit superficial cues and rationalize answers post-hoc, failing at adaptive problem-solving
LLMs Don’t Create: They recycle and degrade existing information, unable to escape the "syntax trap" (manipulating symbols without semantic grounding)
https://yewtu.be/ShusuVq32hc or on the #nerdreich ’s attention farm https://youtu.be/ShusuVq32hc
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LLMs Don’t.
Model Collapse Ends AI Hype. George D. Montañez, PhD.
LLMs Don’t Think: They process tokens via statistical patterns, lacking internal states or understanding
LLMs Don’t Reason: They exploit superficial cues and rationalize answers post-hoc, failing at adaptive problem-solving
LLMs Don’t Create: They recycle and degrade existing information, unable to escape the "syntax trap" (manipulating symbols without semantic grounding)
https://yewtu.be/ShusuVq32hc or on the #nerdreich ’s attention farm https://youtu.be/ShusuVq32hc
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LLMs Don’t.
Model Collapse Ends AI Hype. George D. Montañez, PhD.
LLMs Don’t Think: They process tokens via statistical patterns, lacking internal states or understanding
LLMs Don’t Reason: They exploit superficial cues and rationalize answers post-hoc, failing at adaptive problem-solving
LLMs Don’t Create: They recycle and degrade existing information, unable to escape the "syntax trap" (manipulating symbols without semantic grounding)
https://yewtu.be/ShusuVq32hc or on the #nerdreich ’s attention farm https://youtu.be/ShusuVq32hc
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LLMs Don’t.
Model Collapse Ends AI Hype. George D. Montañez, PhD.
LLMs Don’t Think: They process tokens via statistical patterns, lacking internal states or understanding
LLMs Don’t Reason: They exploit superficial cues and rationalize answers post-hoc, failing at adaptive problem-solving
LLMs Don’t Create: They recycle and degrade existing information, unable to escape the "syntax trap" (manipulating symbols without semantic grounding)
https://yewtu.be/ShusuVq32hc or on the #nerdreich ’s attention farm https://youtu.be/ShusuVq32hc
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🐶 meet 🦜
Dog: “y7u8888888ftrg34BC”
Claude: OMG! You’re a genius, let me start working on it
Yes it’s funny. Also, it has nothing to do with the dog. If instructed to make sense of something a paychofantic #AI agent will make sense to random sequences. This tools are fucking pattern matchers copy pasting somebody’s work doesn’t really what you feed it, something will eventually come out 💩…
https://yewtu.be/watch?v=8BbPlPou3Bg (proxy) or on a #nerdreich platform https://www.youtube.com/watch?v=8BbPlPou3Bg
Ie the “stochastic parrot” argument from linguistics researchers Bender et al. (2021) -
#aislop All that is left is to laugh …
From an imaginary http 406 (“not acceptable”) internet standard proposal for client error status rejecting #AI slop from code repositories:
[…] I see you are slow. Let us simplify this transaction: A machine wrote your submission. A machine is currently rejecting your submission. You are the entirely unnecessary meat-based middleman in this exchange.
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#Anthropic’s #AI can almost write a C compiler in Rust for $20k, but using that very same swarm to build a native desktop app? No thanks; we’re sticking with hand-crafted crappy nasty #Electron because we know our planet-destroying technology can’t deliver.
https://www.dbreunig.com/2026/02/21/why-is-claude-an-electron-app.html
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@FluentInFinance Historians. funny. I wonder who will conduct the research if historians are no longer around. What kind of research will LLMs generate? Will they simply regurgitate existing literature or will they create their own based on their glorious tendency to “assume”? Ie “Sorry, I couldn’t access the article’s text, but here’s a detailed summary and full biographies and a timeline based on the URL’s slug. You’re welcome.” black-hole-emoji
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@seanfobbe @michaelgraaf […] #OpenAI has to be the most insufferable company in the world. They can steal from the whole world and guzzle all possible resources. But no one can give them a taste of their own medicine even a little bit.
https://dair-community.social/@timnitGebru/113909909764399262
