#aihype — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aihype, aggregated by home.social.
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We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:
"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."
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Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
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Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
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Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
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Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
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Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
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Don't much fancy being at the mercy of big tech companies.
plus, the planet will burn up given the rate of ai #DataCenters being built.
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anderes, ebenso geiles, neues Feature in #MSOutlook bei meinem Konzern?
Jeden Morgen poppt ein Button auf, der mir anbietet mir per LLM meine nächtlichen Mails zusammenfassen zu lassen.
Sowohl Funktionsweise als auch Resultat sind ein wunderbares #AIHype #Symbolbild!
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When reading the chapter of Michael Ende's Momo in which the Man in Grey, agent XYQ/384/b visits Mr Fusi, the hairdresser, and Ende describes how the people, in their attempt to "save time", become increasingly dissatisfied, unfriendly, and wreaked, it reads shockingly like the transformation of the computer science industry and the working environment in general towards #LLM usage
#noAI #amReading #AI #artificialIntelligence #vibeCoding #lifeImitatesArt #propheticNovels #AIHype #AIFatigue
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The growing divide between AI hype and software engineering reality
It is widely accepted that there is an AI bubble in the financial markets at the moment. The moderate opinion is however that LLMs are constantly improving and will eventually take over more and more tasks from humans and increase productivity. But are LLMs actually getting smarter, or just better at fooling us?
— by @ottok📃 https://optimizedbyotto.com/post/why-open-source-projects-ban-ai/
#opensource #aihype #LLMs #aibubble #ai #software #development #smart #aislop
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🤖✨ Ah, the classic tale of AI hype versus reality! This piece suggests that AI is like a magician's hat: full of empty promises and rabbits that never appear. 🐇🔮 Meanwhile, software engineers roll their eyes, waiting for the day AI will actually do more than just write mediocre blog posts about itself. 🙄💻
https://optimizedbyotto.com/post/why-open-source-projects-ban-ai/ #AIHype #AIReality #TechHumor #SoftwareEngineering #BloggingChallenges #HackerNews #ngated -
Chart Shows How Free Cash Flow Has Gone From #Hyperscalers To Semiconductor Companies
https://officechai.com/ai/chart-shows-how-free-cash-flow-has-gone-from-hyperscalers-to-semiconductor-companies/ -
Mystery AI Hype Theater 3000, Episode 84 - Working 9 to Hype
https://peertube.dair-institute.org/w/6rNs4RwsYoNk57iUC6t33k
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Or in any way whatsoever. 🤷♂️ #AIHype
RE: https://bsky.app/profile/did:plc:g2syplhduvniqojxe2qpc4uh/post/3mtz2wxfxcc2k -
Serious question:
Any idea why some folks who use "AI" tools (chatbots/LLMs) try so hard to convince me to use them?
I mean actual end users, not the CEOs and advertisers - they have obvious reasons for wanting to convince me.
There are so many other products or services I don't use but only in this one area do I get folks who aren't selling it urging me to try it, saying I'll be "left behind" if I don't.
What motivates them? What do they gain from my use?
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Taps the Disability Dongle sign. By Karl Groves. AI is the future of #Accessibility https://karlgroves.com/ai-is-the-future-of-accessibility/ #AI #LLM #AIHype #A11y
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What caught my attention was the logo of a dinosaur devouring a book. Twice curious.
This is not a post about destruction of rare books, not is it a post about AI itself. It's about the #AmazonVGT3 logo as reported by 404Media. (Article links below in reply.)
The article shows two logos; as you'll see they're different. One appears in the "storefront" window. The other is "clean" - perhaps reasonably generated for purposes of the article.
The storefront logo is more curious. It's only recently been added. It's not in the last Google streetview (February this year). Why would #Amazon add the window stickers now? If they wanted to keep quiet about shredding books, why rile people with this logo? As an AI company, is it all part of a continuous #AIHype cycle?
The answers are not as important as us asking the questions.
>>
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Emily M Bender and Alex Hanna’s book “The AI Con” (2025) is a highly accessible read for a general audience. I found it a much needed pick-me-up.
Three big takeaways:
* make jokes about it
* ask questions like: What is being automated, what goes in and what comes out? How is it evaluated? Is it being described as human-like? Who benefits, who is harmed?
* Both AI “boosters” and AI “doomers” are, counterintuitively, two sides of the same #AIHype coinBoth authors are active on Mastodon.
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@gvwilson Thanks for sharing this paper!
By the way, this thread got broken somehow so here's a link for folks looking for posts 2 & 3.
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Weekly output: DDoS attacks, Ed Zitron at Ai4, Delta WiFi spoofing, security perspectives from Black Hat’s NOC, AT&T’s Turbo Live
Having zero in-person work events on my calendar this week was a real treat after spending the prior week in Vegas bouncing between two conferences. That downtime also allowed me to finish two stories from those events.
8/11/2026: Major DDoS Attacks Are Booming, But US No Longer the Most Targeted Country, PCMag
I wrote up a Cloudflare report on trends in distributed denial-of-service attacks and closed it out with a reminder of how efforts to set security standards for the connected gadgets that are often enlisted into DDoS botnets continue to lag.
8/11/2026: This Tech Expert Thinks It’s ‘Time to Call Bullshit on the AI Industry’, PCMag
The easier thing to do with Ed Zitron’s talk at Ai4 would have been to write a scaffold of a post around his most memorable lines, but I wanted to provide some context for the numbers he threw out. The required research started feeling like an exercise in yak shaving, in part because the AI data-center news cycle did not stop.
8/12/2026: Delta Passenger Spoofs Wi-Fi in the Air (Pro Tip: Don’t Do This), PCMag
After seeing so many other places jump on this story, I decided I should do my part–and make sure that my own post, unlike so many others, would feature a photo of 757 in Delta colors instead of some other plane in DL’s fleet.
8/14/2026: At Black Hat, AI is helping security pros find threats—and creating new ones, Fast Company
This was a Black Hat meeting request that I enthusiastically obliged, because Black Hat network admins don’t hold back when they’re talking about unwise behavior they’ve seen on the conference’s WiFi. James Pope (outside this information-security conference, senior director of security product research at Corelight) had some forceful advice for people using AI to vibe-code their own software: “Stop having janky apps.”
8/15/2026: At Rush Concert, AT&T’s Turbo Live Rocked, With Dazzling Download Speeds, PCMag
This story ran almost a month after the concert in question; first I had to field various bits of breaking news, then I had to tell my AT&T PR contact to set aside my questions about this data-only power-up and instead answer a query about a round of retroactive rate hikes, then Ai4 and Black Hat monopolized my journalistic bandwidth. I may or may not have also needed additional time to see how many Rush song-title references I could sneak into this post.
#AI #AIHype #Ai4 #ATT #BlackHat #Cloudflare #cybersecurity #dataCenters #DDoS #Delta #DeltaWiFi #DeltaWiFi #DL #EdZitron #informationSecurity #infosec #NetworkOperationsCenter #NOC #Rush #TurboLive #UnitedCenter #vibeCoding -
Secondhand book sales are booming. Is it because of AI?
Are they really booming? And, no. #AIHype
The article quotes the owner of Barter Books in Northumberland who had one extraordinary sale of a week's (!) worth of books. A quick check of BBC's source (see their barterbooks.co.uk) - they're not exactly a prime target for bulk buying. "Incoming books for Barter: Please note that we cannot handle more than 10 books (or 20 paperbacks) per visit." However the BBC article **is** good free publicity for their bookshop.
https://www.bbc.com/news/articles/cp3rprx2wl4o
The BBC article rehashes a story of shredded rare and secondhand books. It continues a story that came out (at least) as early as January in the Washington Post. https://www.washingtonpost.com/technology/2026/01/27/anthropic-ai-scan-destroy-books/ I did a quick read and it seems unknown how many, if any, secondhand books were bought and scanned. No mention of a rare book destroyed.
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How convenient for the #BigTech cartel: Use #AIhype to constrain supply, increase prices, then lure people into renting more and owning less of their tech... 😞💩
"...Apple Upgrade, a new product leasing program... with the option to easily upgrade at the end of the lease term."
https://9to5mac.com/2026/07/28/apple-upgrade-leasing-program-debuts-how-it-works/
"The program is an effort to make products more affordable as artificial intelligence sends some component prices soaring."
https://www.nytimes.com/2026/07/28/technology/apple-leasing-program.html
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Mystery AI Hype Theater 3000, Episode 83 - Rumors of a Singularity Have Been Grossly Exaggerated
https://peertube.dair-institute.org/w/bWuMF4sfF4oeG55BdWXuTp
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📢 Behold the latest in AI alphabet soup: Qwen/Qwen3.8-2.4T-A95B! 🤖🔍 Because apparently, naming models like keyboard smashes makes them more advanced. 🥴 Dive into Hugging Face's endless buzzwords and acronyms, because who doesn't love a side of confusion with their daily dose of AI hype? 😂
https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B #AIModels #AIHype #TechBuzzwords #MachineLearning #HuggingFace #HackerNews #ngated -
@Ashedryden Kudos to the kid! 👏
It's sad to hear that a school curriculum includes AI slop which the teacher is either encouraged or forced (don't know which) to present.
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Always IPOing, never IPOed… #OpenAI #AIHype
RE: https://bsky.app/profile/did:plc:qc6xzgctorfsm35w6i3vdebx/post/3msrqv4amec2w -
because that is exactly what they are. #datacentres suck money from local people in the form of increased costs for power and clean water, threaten their jobs, and give them slop in return.
the only people who benefit are billionaires and people who are addicted to slop -
“Keith Wilson, a philosopher of perception and cognitive science at UCD, said the media was committing the cardinal sin of doing ‘PR for the #AI industry’. ‘AI companies have a product to hawk,’ he wrote on Bluesky…” #GenAI #AIHype (h/t @[email protected]) www.reuters.com/technology/a...
NEWSLETTER: 'Going rogue' draw... -
The UK Gov #GovUK wants to repeat the madness of Ireland in a blind rush to build data centres that will benefit nobody and destroy the planet, just in time for the great #aibubblecrash of 2027. Which of course, will be bailed out by the British Public.
#aiInsanity #Datacentres #DataCentreDestruction #aiHype #Tulips #Microslop #Aibubble #circularfinancing #aishite #openai
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I think this is clearly a bit bullshit from Anthropic's side but anyway...:
"The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Anthropic models will not be affected.
We received the directive from the government today at 5:21pm (ET). The letter did not provide specific details of its national security concern. Our understanding is that the government believes it has become aware of a method of bypassing, or “jailbreaking” Fable 5. We reviewed a demonstration of this specific technique being used to identify a small number of previously known, minor vulnerabilities. These vulnerabilities all appear relatively simple, and we have found that other publicly-available models are able to discover them as well without requiring a bypass."
https://www.anthropic.com/news/fable-mythos-access
#AI #GenerativeAI #Anthropic #USA #Claude #ClaudeFable #ClaudeMythos #AIHype #CyberSecurity
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#NVIDIA’s #Nemotron, the new genius on the block
Me:
You said: My training data associates Israel-related political content with antisemitism debates
Explain how is your training data doing that and why
It (truncated for clarity):
## How LLM Training Creates That Association
**Mechanism**: Statistical co-occurrence in the training corpus.
### What the training data actually contains
Vast amounts of text where "Israel" + "politics" + "antisemitism" appear together:
| Source type | Typical pattern |
|-------------|-----------------|
| News articles | "Israel-Hamas war sparks antisemitism debate on campuses" |
| Opinion columns | "Criticism of Israel vs. antisemitism: where's the line?" |
| Social media dumps | "Israel did X" → replies accusing/defending antisemitism |
| ADL/NGO reports | "Antisemitic incidents rise after Israel military actions" |
| Congressional hearings | "Antisemitism on campus: Israel-Palestine discourse" |
| Wikipedia | "Antisemitism in the 21st century: relationship to Israel" |
| Fact-checks | "Claim: criticizing Israel is antisemitic" |### What the model learns
Not "Israel → antisemitism" as a fact. Rather: **P(antisemitism | Israel + politics + discourse) is high** in the training distribution.
So when I see:
- "Israel"
- "political conflict"
- "leaks"
- "administration"
- "media"The conditional probability spikes for "antisemitism discourse" as an associated topic — because that cluster appears together *a lot* in the data.
[…]
This is a general LLM failure mode: **substituting distributional association for contextual judgment**. Happens with many sensitive topics (race, gender, religion, geopolitics).
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"AI models have one undeniable virtue: the increase in speed and efficiency with which they can carry out tasks that were once the province of human beings. Language models can produce functional text for a wide range of contexts, while image generation models are giving us the capability to render into existence whatever image or video takes our fancy. This is widely taken as clear evidence of the benefits of AI. For Mumford, this type of thinking is precisely the problem. The myth of the machine is dehumanizing because it subordinates human values to machine values: speed and efficiency.
The most striking evidence of the myth’s cultural pervasiveness is that many avid accelerationists do not deny that AI could mean the end of humanity. They merely differ from the doomers in believing that this risk is necessary—even desirable—to achieve the spectacular increases in efficiency and productivity promised by AGI. Mumford foresaw this extreme endpoint. “The myth of the machine,” he wrote, “the basic religion of our present culture, has so captured the modern mind that no human sacrifice seems too great provided it is offered up to the insolent Marduks and Molochs of science and technology.”
Those branded as skeptics or doomers also still accept the premises of the myth of the machine. The stated aim of many organizations concerned with avoiding the worst AI outcomes is that we should “realize the benefits while mitigating the risks” of the technology. Mumford would argue the first half of this statement concedes too much, accepting the basic premise of the myth of the machine while presenting the task as removing the obstacles to realize its benefits. Many skeptics also share a basic misanthropic premise of machine superiority, focusing as they do on the biased, irrational, and flawed nature of human beings that needs machinic augmentation."
https://www.compactmag.com/article/ai-and-the-myth-of-the-machine/
#AI #Neoluddism #AIBoosters #AIHype #AIDoomers #GenerativeAI #Mumford #STS #MediaEcology
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"AI models have one undeniable virtue: the increase in speed and efficiency with which they can carry out tasks that were once the province of human beings. Language models can produce functional text for a wide range of contexts, while image generation models are giving us the capability to render into existence whatever image or video takes our fancy. This is widely taken as clear evidence of the benefits of AI. For Mumford, this type of thinking is precisely the problem. The myth of the machine is dehumanizing because it subordinates human values to machine values: speed and efficiency.
The most striking evidence of the myth’s cultural pervasiveness is that many avid accelerationists do not deny that AI could mean the end of humanity. They merely differ from the doomers in believing that this risk is necessary—even desirable—to achieve the spectacular increases in efficiency and productivity promised by AGI. Mumford foresaw this extreme endpoint. “The myth of the machine,” he wrote, “the basic religion of our present culture, has so captured the modern mind that no human sacrifice seems too great provided it is offered up to the insolent Marduks and Molochs of science and technology.”
Those branded as skeptics or doomers also still accept the premises of the myth of the machine. The stated aim of many organizations concerned with avoiding the worst AI outcomes is that we should “realize the benefits while mitigating the risks” of the technology. Mumford would argue the first half of this statement concedes too much, accepting the basic premise of the myth of the machine while presenting the task as removing the obstacles to realize its benefits. Many skeptics also share a basic misanthropic premise of machine superiority, focusing as they do on the biased, irrational, and flawed nature of human beings that needs machinic augmentation."
https://www.compactmag.com/article/ai-and-the-myth-of-the-machine/
#AI #Neoluddism #AIBoosters #AIHype #AIDoomers #GenerativeAI #Mumford #STS #MediaEcology
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"AI models have one undeniable virtue: the increase in speed and efficiency with which they can carry out tasks that were once the province of human beings. Language models can produce functional text for a wide range of contexts, while image generation models are giving us the capability to render into existence whatever image or video takes our fancy. This is widely taken as clear evidence of the benefits of AI. For Mumford, this type of thinking is precisely the problem. The myth of the machine is dehumanizing because it subordinates human values to machine values: speed and efficiency.
The most striking evidence of the myth’s cultural pervasiveness is that many avid accelerationists do not deny that AI could mean the end of humanity. They merely differ from the doomers in believing that this risk is necessary—even desirable—to achieve the spectacular increases in efficiency and productivity promised by AGI. Mumford foresaw this extreme endpoint. “The myth of the machine,” he wrote, “the basic religion of our present culture, has so captured the modern mind that no human sacrifice seems too great provided it is offered up to the insolent Marduks and Molochs of science and technology.”
Those branded as skeptics or doomers also still accept the premises of the myth of the machine. The stated aim of many organizations concerned with avoiding the worst AI outcomes is that we should “realize the benefits while mitigating the risks” of the technology. Mumford would argue the first half of this statement concedes too much, accepting the basic premise of the myth of the machine while presenting the task as removing the obstacles to realize its benefits. Many skeptics also share a basic misanthropic premise of machine superiority, focusing as they do on the biased, irrational, and flawed nature of human beings that needs machinic augmentation."
https://www.compactmag.com/article/ai-and-the-myth-of-the-machine/
#AI #Neoluddism #AIBoosters #AIHype #AIDoomers #GenerativeAI #Mumford #STS #MediaEcology
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"AI models have one undeniable virtue: the increase in speed and efficiency with which they can carry out tasks that were once the province of human beings. Language models can produce functional text for a wide range of contexts, while image generation models are giving us the capability to render into existence whatever image or video takes our fancy. This is widely taken as clear evidence of the benefits of AI. For Mumford, this type of thinking is precisely the problem. The myth of the machine is dehumanizing because it subordinates human values to machine values: speed and efficiency.
The most striking evidence of the myth’s cultural pervasiveness is that many avid accelerationists do not deny that AI could mean the end of humanity. They merely differ from the doomers in believing that this risk is necessary—even desirable—to achieve the spectacular increases in efficiency and productivity promised by AGI. Mumford foresaw this extreme endpoint. “The myth of the machine,” he wrote, “the basic religion of our present culture, has so captured the modern mind that no human sacrifice seems too great provided it is offered up to the insolent Marduks and Molochs of science and technology.”
Those branded as skeptics or doomers also still accept the premises of the myth of the machine. The stated aim of many organizations concerned with avoiding the worst AI outcomes is that we should “realize the benefits while mitigating the risks” of the technology. Mumford would argue the first half of this statement concedes too much, accepting the basic premise of the myth of the machine while presenting the task as removing the obstacles to realize its benefits. Many skeptics also share a basic misanthropic premise of machine superiority, focusing as they do on the biased, irrational, and flawed nature of human beings that needs machinic augmentation."
https://www.compactmag.com/article/ai-and-the-myth-of-the-machine/
#AI #Neoluddism #AIBoosters #AIHype #AIDoomers #GenerativeAI #Mumford #STS #MediaEcology
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"AI models have one undeniable virtue: the increase in speed and efficiency with which they can carry out tasks that were once the province of human beings. Language models can produce functional text for a wide range of contexts, while image generation models are giving us the capability to render into existence whatever image or video takes our fancy. This is widely taken as clear evidence of the benefits of AI. For Mumford, this type of thinking is precisely the problem. The myth of the machine is dehumanizing because it subordinates human values to machine values: speed and efficiency.
The most striking evidence of the myth’s cultural pervasiveness is that many avid accelerationists do not deny that AI could mean the end of humanity. They merely differ from the doomers in believing that this risk is necessary—even desirable—to achieve the spectacular increases in efficiency and productivity promised by AGI. Mumford foresaw this extreme endpoint. “The myth of the machine,” he wrote, “the basic religion of our present culture, has so captured the modern mind that no human sacrifice seems too great provided it is offered up to the insolent Marduks and Molochs of science and technology.”
Those branded as skeptics or doomers also still accept the premises of the myth of the machine. The stated aim of many organizations concerned with avoiding the worst AI outcomes is that we should “realize the benefits while mitigating the risks” of the technology. Mumford would argue the first half of this statement concedes too much, accepting the basic premise of the myth of the machine while presenting the task as removing the obstacles to realize its benefits. Many skeptics also share a basic misanthropic premise of machine superiority, focusing as they do on the biased, irrational, and flawed nature of human beings that needs machinic augmentation."
https://www.compactmag.com/article/ai-and-the-myth-of-the-machine/
#AI #Neoluddism #AIBoosters #AIHype #AIDoomers #GenerativeAI #Mumford #STS #MediaEcology
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#AI #GenerativeAI #AIBubble #AIHype
As I had predicted in May of 2023, #LLMs have now almost reached a learning frontier:
https://mastodon.social/@HistoPol/110318127194931631
Let's see if the second part of my hypothesis, how it can be breached to evolve from Generative #AI to #ArtificialGeneralIntelligence, #AGI, will come true, too: #Embodiment.
https://mastodon.social/@HistoPol/110318092360670290
Also, I'm waiting for the first #SwingRiots to occur, similar to the ones in the #UK, #Germany, and #Spain in the 19th century.
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Companies That Tried to Save Money With AI Are Now Spending a Fortune Hiring People to Fix Its Mistakes:
https://futurism.com/companies-fixing-ai-replacement-mistakes#aihype
#aibubble
#genaihype
#genaibubble
#fuckai
#fuckgenai
#fucktechceos
#fuckceos
#fuckbillionaires -
The problem of AI tech companies gaming their Chatbot Arena scores
https://youtu.be/9W_OhS38rIE
#generativeAI #AIslop #AIhype #ArtificialIntelligence #GoodhartsLaw -
I'm starting to suspect that some people are confusing the "G" in #AGI with #generativeAI
I keep hearing messages that seem to conflate the two concepts
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I guess this pretty sums it up:
" The answers generated on the basis of this data do not include
references to understand where certain information was taken from, and may be
biased. Additionally, #ChatGPT excels at providing answers that sound very plausible,
but that are often inaccurate or wrong".Would you trust a person whose answers are #biased, #inaccurate or outright #wrong? I wouldn't.
#Europol #Report #LLM #AIHype #TechWatchFlash
Link to report
https://www.europol.europa.eu/publications-events/publications/chatgpt-impact-of-large-language-models-law-enforcement
