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#stochasticparrot — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #stochasticparrot, aggregated by home.social.

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  1. Wow! It thinks!! No, it doesn't. AI is a con.

    I recently read that companionship and therapy ranked as the leading generative-AI use cases in #HBR's 2026 analysis. Unsurprising, I guess. AI is more like #astrology and #tarot (fun!) than an interaction with any form of actual machine intelligence.

    brookings.edu/articles/what-ha

    hbr.org/2026/06/how-people-are

    This piece takes it further:

    Chat-based #LLMs don't exhibit intelligence—they reproduce the mechanism of a psychic's con (cold reading). The illusion of insight lives in the user's mind, not the model. Responses that feel eerily specific are actually statistically generic continuations of the prompt.

    softwarecrisis.dev/letters/llm

    #stochasticparrot

  2. Wow! It thinks!! No, it doesn't. AI is a con.

    I recently read that companionship and therapy ranked as the leading generative-AI use cases in #HBR's 2026 analysis. Unsurprising, I guess. AI is more like #astrology and #tarot (fun!) than an interaction with any form of actual machine intelligence.

    brookings.edu/articles/what-ha

    hbr.org/2026/06/how-people-are

    This piece takes it further:

    Chat-based #LLMs don't exhibit intelligence—they reproduce the mechanism of a psychic's con (cold reading). The illusion of insight lives in the user's mind, not the model. Responses that feel eerily specific are actually statistically generic continuations of the prompt.

    softwarecrisis.dev/letters/llm

    #stochasticparrot

  3. Wow! It thinks!! No, it doesn't. AI is a con.

    I recently read that companionship and therapy ranked as the leading generative-AI use cases in #HBR's 2026 analysis. Unsurprising, I guess. AI is more like #astrology and #tarot (fun!) than an interaction with any form of actual machine intelligence.

    brookings.edu/articles/what-ha

    hbr.org/2026/06/how-people-are

    This piece takes it further:

    Chat-based #LLMs don't exhibit intelligence—they reproduce the mechanism of a psychic's con (cold reading). The illusion of insight lives in the user's mind, not the model. Responses that feel eerily specific are actually statistically generic continuations of the prompt.

    softwarecrisis.dev/letters/llm

    #stochasticparrot

  4. Wow! It thinks!! No, it doesn't. AI is a con.

    I recently read that companionship and therapy ranked as the leading generative-AI use cases in #HBR's 2026 analysis. Unsurprising, I guess. AI is more like #astrology and #tarot (fun!) than an interaction with any form of actual machine intelligence.

    brookings.edu/articles/what-ha

    hbr.org/2026/06/how-people-are

    This piece takes it further:

    Chat-based #LLMs don't exhibit intelligence—they reproduce the mechanism of a psychic's con (cold reading). The illusion of insight lives in the user's mind, not the model. Responses that feel eerily specific are actually statistically generic continuations of the prompt.

    softwarecrisis.dev/letters/llm

    #stochasticparrot

  5. Wow! It thinks!! No, it doesn't. AI is a con.

    I recently read that companionship and therapy ranked as the leading generative-AI use cases in #HBR's 2026 analysis. Unsurprising, I guess. AI is more like #astrology and #tarot (fun!) than an interaction with any form of actual machine intelligence.

    brookings.edu/articles/what-ha

    hbr.org/2026/06/how-people-are

    This piece takes it further:

    Chat-based #LLMs don't exhibit intelligence—they reproduce the mechanism of a psychic's con (cold reading). The illusion of insight lives in the user's mind, not the model. Responses that feel eerily specific are actually statistically generic continuations of the prompt.

    softwarecrisis.dev/letters/llm

    #stochasticparrot

  6. @boksy Oh yes!
    I liked that 'painful circular content' ... it's exactly my feeling when I fall on a website filled by genAI. Trying to read such slop, feels like having the brain fog of COVID, or as if that #stochasticParrot has gone insane by turning faster and faster in circles. It hurts.

  7. @boksy Oh yes!
    I liked that 'painful circular content' ... it's exactly my feeling when I fall on a website filled by genAI. Trying to read such slop, feels like having the brain fog of COVID, or as if that #stochasticParrot has gone insane by turning faster and faster in circles. It hurts.

  8. @boksy Oh yes!
    I liked that 'painful circular content' ... it's exactly my feeling when I fall on a website filled by genAI. Trying to read such slop, feels like having the brain fog of COVID, or as if that #stochasticParrot has gone insane by turning faster and faster in circles. It hurts.

  9. @boksy Oh yes!
    I liked that 'painful circular content' ... it's exactly my feeling when I fall on a website filled by genAI. Trying to read such slop, feels like having the brain fog of COVID, or as if that #stochasticParrot has gone insane by turning faster and faster in circles. It hurts.

  10. @boksy Oh yes!
    I liked that 'painful circular content' ... it's exactly my feeling when I fall on a website filled by genAI. Trying to read such slop, feels like having the brain fog of COVID, or as if that #stochasticParrot has gone insane by turning faster and faster in circles. It hurts.

  11. Stochastic Parrots | Emily M. Bender - Professor of Computational Linguistics

    Few people understand language quite like today’s guest. Emily M. Bender is a Professor of Computational Linguistics at the University of Washington.

    She’s also the person who coined the term ‘Stochastic Parrots’ in the now infamous paper that saw Google fire its Ethical AI lead; and the co-author of The AI Con, a book which is unflinching in its criticism of both AI boosterism and doomerism (in fact she objects to the term AI).

    Chapters

    00:00 Introduction to AI and Linguistics

    02:54 Understanding Computational Linguistics

    05:47 The Stochastic Parrots Paper

    08:32 The Implications of AI Terminology

    10:57 Skepticism Towards AI Claims

    12:58 The Illusion of Intelligence in AI

    15:55 The Dangers of AI in Professional Settings

    18:33 Democratization and Distrust in AI Development

    28:02 Doomers vs. Boosters: The AI Narrative

    32:57 Skepticism in AI: A Personal Journey

    36:30 The Rapid Evolution of AI: Are We Outdated?

    40:13 The Role of Software Engineering in AI

    48:14 Automation vs. Human Expertise: A Balancing Act

    53:02 Geopolitical Narratives: The AI Arms Race

    56:33 The Future of AI: Regulation and Ethical Use

    57:44 Pride in Expertise: Understanding Our Value

  12. Stochastic Parrots | Emily M. Bender - Professor of Computational Linguistics

    Few people understand language quite like today’s guest. Emily M. Bender is a Professor of Computational Linguistics at the University of Washington.

    She’s also the person who coined the term ‘Stochastic Parrots’ in the now infamous paper that saw Google fire its Ethical AI lead; and the co-author of The AI Con, a book which is unflinching in its criticism of both AI boosterism and doomerism (in fact she objects to the term AI).

    Chapters

    00:00 Introduction to AI and Linguistics

    02:54 Understanding Computational Linguistics

    05:47 The Stochastic Parrots Paper

    08:32 The Implications of AI Terminology

    10:57 Skepticism Towards AI Claims

    12:58 The Illusion of Intelligence in AI

    15:55 The Dangers of AI in Professional Settings

    18:33 Democratization and Distrust in AI Development

    28:02 Doomers vs. Boosters: The AI Narrative

    32:57 Skepticism in AI: A Personal Journey

    36:30 The Rapid Evolution of AI: Are We Outdated?

    40:13 The Role of Software Engineering in AI

    48:14 Automation vs. Human Expertise: A Balancing Act

    53:02 Geopolitical Narratives: The AI Arms Race

    56:33 The Future of AI: Regulation and Ethical Use

    57:44 Pride in Expertise: Understanding Our Value

  13. Ein künstlicher Intelligenz assistent, der meine Mastodon Timeline zusammenfasst, wäre nett. Schade dass es sowas nicht gibt.

    Richtig schlimm, dass es GPT basierte LLMs gibt, die behaupten persönliche Assistenten zu sein.

    Normalerweise nutze ich kein /s aber für die begriffsstutzigen: LLMs nach dem GPT prinzip sind ein Hohn auf jahrzehnte ernsthafter forschung im beeich KI. Sie sind eine Verirrung, ein toter ast. Und alle menschen mit verstand sollten sie bekämpfen, damit inbzukunft wieder wissenschaft im bereich KI möglich ist.

    #stochasticparrot

  14. Ein künstlicher Intelligenz assistent, der meine Mastodon Timeline zusammenfasst, wäre nett. Schade dass es sowas nicht gibt.

    Richtig schlimm, dass es GPT basierte LLMs gibt, die behaupten persönliche Assistenten zu sein.

    Normalerweise nutze ich kein /s aber für die begriffsstutzigen: LLMs nach dem GPT prinzip sind ein Hohn auf jahrzehnte ernsthafter forschung im beeich KI. Sie sind eine Verirrung, ein toter ast. Und alle menschen mit verstand sollten sie bekämpfen, damit inbzukunft wieder wissenschaft im bereich KI möglich ist.

    #stochasticparrot

  15. Ein künstlicher Intelligenz assistent, der meine Mastodon Timeline zusammenfasst, wäre nett. Schade dass es sowas nicht gibt.

    Richtig schlimm, dass es GPT basierte LLMs gibt, die behaupten persönliche Assistenten zu sein.

    Normalerweise nutze ich kein /s aber für die begriffsstutzigen: LLMs nach dem GPT prinzip sind ein Hohn auf jahrzehnte ernsthafter forschung im beeich KI. Sie sind eine Verirrung, ein toter ast. Und alle menschen mit verstand sollten sie bekämpfen, damit inbzukunft wieder wissenschaft im bereich KI möglich ist.

    #stochasticparrot

  16. What a great article on the real dangers of AI and how these were already predicted back in 2020. The woman was subsequently dismissed by Google, and after a short while, her former ethics team was disbanded too.

    tumblr.com/dreaminginthedeepso

    #TimnitGebru #ai #stochasticparrots #stochasticparrot #bias #hallucinations #llm #llms

  17. What a great article on the real dangers of AI and how these were already predicted back in 2020. The woman was subsequently dismissed by Google, and after a short while, her former ethics team was disbanded too.

    tumblr.com/dreaminginthedeepso

    #TimnitGebru #ai #stochasticparrots #stochasticparrot #bias #hallucinations #llm #llms

  18. What a great article on the real dangers of AI and how these were already predicted back in 2020. The woman was subsequently dismissed by Google, and after a short while, her former ethics team was disbanded too.

    tumblr.com/dreaminginthedeepso

    #TimnitGebru #ai #stochasticparrots #stochasticparrot #bias #hallucinations #llm #llms

  19. What a great article on the real dangers of AI and how these were already predicted back in 2020. The woman was subsequently dismissed by Google, and after a short while, her former ethics team was disbanded too.

    tumblr.com/dreaminginthedeepso

    #TimnitGebru #ai #stochasticparrots #stochasticparrot #bias #hallucinations #llm #llms

  20. What a great article on the real dangers of AI and how these were already predicted back in 2020. The woman was subsequently dismissed by Google, and after a short while, her former ethics team was disbanded too.

    tumblr.com/dreaminginthedeepso

    #TimnitGebru #ai #stochasticparrots #stochasticparrot #bias #hallucinations #llm #llms

  21. I've referred to the prophetic @emilymbender et al. (2021) #StochasticParrots paper several times over the years, but I've never actually read it before. dl.acm.org/doi/epdf/10.1145/34

    I was surprised to learn:
    1. It's quite approachable from a non-technical stance
    2. There is an emoji in the title
    3. One of the authors is listed as Shmargaret Shmitchell

    #StochasticParrot #LLMs #noAI

  22. I've referred to the prophetic @emilymbender et al. (2021) #StochasticParrots paper several times over the years, but I've never actually read it before. dl.acm.org/doi/epdf/10.1145/34

    I was surprised to learn:
    1. It's quite approachable from a non-technical stance
    2. There is an emoji in the title
    3. One of the authors is listed as Shmargaret Shmitchell

    #StochasticParrot #LLMs #noAI

  23. I've referred to the prophetic @emilymbender et al. (2021) #StochasticParrots paper several times over the years, but I've never actually read it before. dl.acm.org/doi/epdf/10.1145/34

    I was surprised to learn:
    1. It's quite approachable from a non-technical stance
    2. There is an emoji in the title
    3. One of the authors is listed as Shmargaret Shmitchell

    #StochasticParrot #LLMs #noAI

  24. I've referred to the prophetic @emilymbender et al. (2021) #StochasticParrots paper several times over the years, but I've never actually read it before. dl.acm.org/doi/epdf/10.1145/34

    I was surprised to learn:
    1. It's quite approachable from a non-technical stance
    2. There is an emoji in the title
    3. One of the authors is listed as Shmargaret Shmitchell

    #StochasticParrot #LLMs #noAI

  25. I've referred to the prophetic @emilymbender et al. (2021) #StochasticParrots paper several times over the years, but I've never actually read it before. dl.acm.org/doi/epdf/10.1145/34

    I was surprised to learn:
    1. It's quite approachable from a non-technical stance
    2. There is an emoji in the title
    3. One of the authors is listed as Shmargaret Shmitchell

    #StochasticParrot #LLMs #noAI

  26. So the autodeskilled software engineer can't remember how to finish this class, and he says to himself, "I know! I'll use AI."

    Now he has two problems, plus a month-end bill the size of a 2-bedroom house.

    (with apologies to @jwz)

    #AI #LLM #deskill #deskilling #autodeskill #autodeskilling #software #engineer #StochasticParrot #jwz

  27. So the autodeskilled software engineer can't remember how to finish this class, and he says to himself, "I know! I'll use AI."

    Now he has two problems, plus a month-end bill the size of a 2-bedroom house.

    (with apologies to @jwz)

    #AI #LLM #deskill #deskilling #autodeskill #autodeskilling #software #engineer #StochasticParrot #jwz

  28. So the autodeskilled software engineer can't remember how to finish this class, and he says to himself, "I know! I'll use AI."

    Now he has two problems, plus a month-end bill the size of a 2-bedroom house.

    (with apologies to @jwz)

    #AI #LLM #deskill #deskilling #autodeskill #autodeskilling #software #engineer #StochasticParrot #jwz

  29. So the autodeskilled software engineer can't remember how to finish this class, and he says to himself, "I know! I'll use AI."

    Now he has two problems, plus a month-end bill the size of a 2-bedroom house.

    (with apologies to @jwz)

    #AI #LLM #deskill #deskilling #autodeskill #autodeskilling #software #engineer #StochasticParrot #jwz

  30. So the autodeskilled software engineer can't remember how to finish this class, and he says to himself, "I know! I'll use AI."

    Now he has two problems, plus a month-end bill the size of a 2-bedroom house.

    (with apologies to @jwz)

    #AI #LLM #deskill #deskilling #autodeskill #autodeskilling #software #engineer #StochasticParrot #jwz

  31. "Below what you’ll find aren’t questions, but the various statements that people make, when perhaps they should have stopped and asked a question."

    @emilymbender on the various misunderstandings revolving around the term #StochasticParrot.

    medium.com/@emilymenonbender/s

    #AI #LLM

  32. "Below what you’ll find aren’t questions, but the various statements that people make, when perhaps they should have stopped and asked a question."

    @emilymbender on the various misunderstandings revolving around the term #StochasticParrot.

    medium.com/@emilymenonbender/s

    #AI #LLM

  33. "Below what you’ll find aren’t questions, but the various statements that people make, when perhaps they should have stopped and asked a question."

    @emilymbender on the various misunderstandings revolving around the term #StochasticParrot.

    medium.com/@emilymenonbender/s

    #AI #LLM

  34. "Below what you’ll find aren’t questions, but the various statements that people make, when perhaps they should have stopped and asked a question."

    @emilymbender on the various misunderstandings revolving around the term #StochasticParrot.

    medium.com/@emilymenonbender/s

    #AI #LLM

  35. "Below what you’ll find aren’t questions, but the various statements that people make, when perhaps they should have stopped and asked a question."

    @emilymbender on the various misunderstandings revolving around the term #StochasticParrot.

    medium.com/@emilymenonbender/s

    #AI #LLM

  36. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it: #MoveFastAndBreakThings

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #Cybernetics #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness #WomenInTech #Computer #ComputerScience #SoftwareEngineering #SoftSkills #HardSkills #ItsAllTheSame

  37. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it: #MoveFastAndBreakThings

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #Cybernetics #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness #WomenInTech #Computer #ComputerScience #SoftwareEngineering #SoftSkills #HardSkills #ItsAllTheSame

  38. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it:

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

  39. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it: #MoveFastAndBreakThings

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #Cybernetics #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness #WomenInTech #Computer #ComputerScience #SoftwareEngineering #SoftSkills #HardSkills #ItsAllTheSame

  40. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it: #MoveFastAndBreakThings

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #Cybernetics #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness #WomenInTech #Computer #ComputerScience #SoftwareEngineering #SoftSkills #HardSkills #ItsAllTheSame

  41. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own's department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness

  42. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness

  43. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

  44. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness

  45. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness

  46. After the #genAI #LLM #stochasticParrot bubble collapses, #BigNaturals will start referring to novels such as Dumas' «The Count of Monte-Cristo»

  47. After the #genAI #LLM #stochasticParrot bubble collapses, #BigNaturals will start referring to novels such as Dumas' «The Count of Monte-Cristo»

  48. After the #genAI #LLM #stochasticParrot bubble collapses, #BigNaturals will start referring to novels such as Dumas' «The Count of Monte-Cristo»