#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/

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

.> As an instrument for organizing large quantities of information, or performing extremely complex symbolic operations beyond human capabilities within a normal lifespan, the computer is an invaluable adjunct to the brain, though not a substitute for it. Since the computer is limited to handling only so much experience as can be abstracted in symbolic or numerical form, it is incapable of dealing directly, as organisms must, with the steady influx of concrete, unprogrammable experience. With respect to such experience, the computer is necessarily always out of date. The computer's lack of other human dimensions is of course no handicap to it as a labor-saving device, whether in astronomy or bookkeeping: but such creativity as the computer may simulate is always in the first place a contribution of the minds that formulate the program.

.> The utter absence of innate subjective potentialities in the computer makes the contemporary art exhibition shown here (top), in all its pervasive blankness and artful nullity, and ideal representation of its missing dimensions. Those who are so fascinated by the computer’s lifelike feats---it plays chess! it writes ‘poetry’!---that they would turn it[AISalami] into the voice of omniscience, betray how little understanding they have of either themselves, their mechanical-electronic agents, or the potentialities of life. A city of even three hundred thousand people, ten per cent of whom have access to regional or national libraries with as few as a million volumes, would actually have a total capacity for storing, transforming, integrating, and not least applying both symbolic information and concrete experience that no computer will ever rival.