#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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#WordWeavers JUL-05 What songs are going on your antagonist’s workout playlist?
Small hint: The villain in "Companion" is not the #AI, it's the Tech Bros that push the #AIHype.
#amWriting #artificialIntelligence #noAI #companionAI #AICompanion #AIEvangelicists #SamAltman #OpenAI #CharacterAI #ChatGPT #LLMs #ChatBot #GoogleGemini
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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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Die aktuelle Schwemme an generativer #KI ist kein Fortschritt, sondern ein Rückschritt für das menschliche Schaffen. Sie lässt unsere Kreativität und Qualität regelrecht verkümmern.
Statt Werkzeuge zu bauen, die uns unterstützen, bauen wir Maschinen, die den menschlichen Aufwand entwerten, die Menschlichkeit hinter Algorithmen verstecken und die letztendlich nur wenigen Überreichen helfen.
#GenerativeKI #AIslop #KI #Kreativität #KIHype #AIHype #Menschlichkeit #GenAI #Tech #BigTech #TechOligarchs #LateCapitalism
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Can all the #openclaw hustlers please fuck off and die? All my feeds are poisoned with this shite.
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I'm coining a term: "AI-Drunk" 🥴
You might be AI-Drunk if you say things like:
• "Anything humans can do, AI does better"
• "Everyone will lose their jobs"
• "Legacy tech is dead"It's impaired judgment caused by overdosing on hype. I'm sure you all know someone who needs an intervention.
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Lúcida y fundamentada lectura anticapitalista de domingo:
"En términos más sencillos, el 35% del mercado bursátil estadounidense está sostenido por seis empresas que compran adaptadores gráficos GPU. Si la historia de crecimiento de NVIDIA tropieza, repercutirá en los otros siete, haciéndoles depender de sus propias historias de comercio de IA.
Y, como paso a explicar, no existe el comercio de IA, porque la IA generativa no está haciendo ganar dinero a nadie."
Enlace traducido: https://www-wheresyoured-at.translate.goog/the-haters-gui/?_x_tr_sl=auto&_x_tr_tl=es&_x_tr_hl=es-419&_x_tr_pto=wapp
#aihype #generativeAI #corrupcion
#llmjoke #ai2025 #LLM #oligopoly
#eeuu #bolsadenuevayork #ai #noAI -
"🛠️🚪 Watch as a group of digital alchemists claim they're open-sourcing a mystical 'DeepSeek' engine, while actually just throwing a tech salad of GitHub #buzzwords and hoping for applause. Spoiler alert: it's mostly a lesson in how to drown substance in a sea of 🔄 automation jargon and 'AI'-driven mumbo jumbo. 😂🔍"
https://github.com/deepseek-ai/open-infra-index/tree/main/OpenSourcing_DeepSeek_Inference_Engine #openSource #techSalad #automationJargon #AIhype #digitalAlchemy #HackerNews #ngated -
@botwiki Okay, so now we have some data.
"The study from Reuters Institute and Oxford University (via BBC), which surveyed over 12,000 people across six countries, seemingly reveals how little that AI hype has percolated down to real-world use, for now."
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#AI is really grim right now, with people who theoretically should be experts buying their own hype. Look at this system:
https://wayve.ai/thinking/lingo-natural-language-autonomous-driving/
Now recall one of the most basic principles of #LLMs: they always tell you only what they think you want to hear. So is the LLM really explaining the car's reasoning here? Nope. Based on the cars plan, it's saying how it thinks an expert driver would most likely describe the actions in that plan. The idea that thru can use this for debugging the planning part of the AI is scary. Because exactly in those situations that are out of the norm, it will be most likely to give an explanation that's unrelated to the actual way the decision was made.
There is research on making large models more explainable, but this is a self-defeating end-run around that work. And if I can see that as someone who's barely touched LLMs, the fact that the researchers at #wayve can't or won't is really disturbing. Especially in the face of their own self-reported accuracy being 60%.
Sure, I expect the public to buy into the #AIHype, but when experienced machine learning professionals are doing it, that's grim.