#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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"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
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"Imagine you are a journalist, and one day you receive an email from your boss announcing an exciting new hire. Everyone please give a hearty welcome to Bob! the message begins. Bob is a serial plagiarist who routinely lies, doesn't understand what a fact is, and has never written an interesting sentence in his life. Please consider him a writing and research resource for all of your stories. Just make sure you are spending a lot of time rigorously fact-checking and rewriting anything he produces for you, because he will seriously end your career if you don't! Anyway, feel free to swing by the kitchen at 3:00 p.m. to grab a slice of cake and welcome Bob to the office. Would you not immediately attempt a citizen's arrest on your boss?"
https://defector.com/insider-boss-to-employees-please-make-good-use-of-this-lying-plagiarism-machine
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"Imagine you are a journalist, and one day you receive an email from your boss announcing an exciting new hire. Everyone please give a hearty welcome to Bob! the message begins. Bob is a serial plagiarist who routinely lies, doesn't understand what a fact is, and has never written an interesting sentence in his life. Please consider him a writing and research resource for all of your stories. Just make sure you are spending a lot of time rigorously fact-checking and rewriting anything he produces for you, because he will seriously end your career if you don't! Anyway, feel free to swing by the kitchen at 3:00 p.m. to grab a slice of cake and welcome Bob to the office. Would you not immediately attempt a citizen's arrest on your boss?"
https://defector.com/insider-boss-to-employees-please-make-good-use-of-this-lying-plagiarism-machine
