#aihype — Public Fediverse posts

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."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

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."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

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."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

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."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

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."

#AiAiAi #AI #AIHype

https://economicfront.wordpress.com/2026/08/01/artificial-intelligence-the-hype-the-dangers-and-the-resistance-part-i/

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:

#AI #AIHype #AiAiAi

https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/

https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/

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:

#AI #AIHype #AiAiAi

https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/

https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/

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:

#AI #AIHype #AiAiAi

https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/

https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/

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:

#AI #AIHype #AiAiAi

https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/

https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/

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:

#AI #AIHype #AiAiAi

https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/

https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/

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

Sometimes you get an email about another publication citing yours that makes you immediately too scared to publish anything anymore...

"Sustainable Smart Cities with AGI-Enabled Cyber-Physical-Social-Thinking Systems" sounds like a very bad trip.

#aihype #researchlife #academia #academicchatter #urban

"My gut instinct is that this is an industry-wide problem. Perplexity spent 164% of its revenue in 2024 between AWS, Anthropic and OpenAI. And one abstraction higher (as I'll get into), OpenAI spent 50% of its revenue on inference compute costs alone, and 75% of its revenue on training compute too (and ended up spending $9 billion to lose $5 billion). Yes, those numbers add up to more than 100%, that's my god damn point.

Large Language Models are too expensive, to the point that anybody funding an "AI startup" is effectively sending that money to Anthropic or OpenAI, who then immediately send that money to Amazon, Google or Microsoft, who are yet to show that they make any profit on selling it.

Please don't waste your breath saying "costs will come down." They haven't been, and they're not going to.

Despite categorically wrong boosters claiming otherwise, the cost of inference — everything that happens from when you put a prompt in to generate an output from a model — is increasing, in part thanks to the token-heavy generations necessary for "reasoning" models to generate their outputs, and with reasoning being the only way to get "better" outputs, they're here to stay (and continue burning shit tons of tokens).

This has a very, very real consequence."

https://www.wheresyoured.at/why-everybody-is-losing-money-on-ai/

#AI #GenerativeAI #BusinessModels #LLMs #Chatbots #AIHype #AIBubble

Snapchat will use "AI" to generate images of you based on your selfies. Okay, standard "AI" hype garbage.

Then it will use them in ads... that it shows *to you*. What? Why? Does some marketer think I'm more likely to buy something if they show me an image of me using it, when I *know* that image is false?

https://www.404media.co/snapchat-reserves-the-right-to-use-ai-generated-images-of-your-face-in-ads/

#AI #Snapchat #enshittification #hype #AIHype #AIGarbage #MySelfie

[Coffeezilla] exposes #RabbitAI as an overhyped product whose hardcoded architecture cannot possibly deliver the features advertised in their glossy launch video. Its #LAM was not a new #AI but just a bunch of #Playwright scripts
https://youtu.be/zLvFc_24vSM
#AIhype #ArtificialIntelligence #JesseLyu
#ChatGPT #PerplexityAI #LLM #LargeActionModel

Coffeezilla calls out AI firm Rabbit over alleged NFT scam - Coffeezilla said that the artificial intelligence product Rabbit R1 was ... - https://cointelegraph.com/news/rabbit-ai-alleged-nft-scam-coffezilla-report #youtubeinvestigation #stephenfindeisen #coffeezilla #gamaproject #cryptoscam #rabbitai #jesselyu #rabbitr1 #nftscam #aihype

Zuckerberg’s AGI remarks follow trend of downplaying AI dangers - Enlarge / Mark Zuckerberg, chief executive officer of Meta Platforms In... - https://arstechnica.com/?p=1997158 #largelanguagemodels #machinelearning #markzuckerberg #instagramreel #opensourceai #opensource #instagram #samaltman #aiethics #aisafety #facebook #chatgpt #chatgtp #biz⁢ #aihype #openai #meta #agi #ai

The first book on the #AISkepticsReadingGroup's list is #RebootingAIBuildingArtificialIntelligenceWeCanTrust by #GaryMarcus and #ErnestDavis.

#AmReading #Bookstodon #AI #AIHype #AISkepticism

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