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#scientificprogramming — Public Fediverse posts

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

  1. 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

  2. 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/

  3. 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

  4. 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

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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

  10. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

    #AI #Climate #ScientificProgramming #SystemicEngineering #Fiction #Cybernetics #SystemicTherapy #LocalInference #TheMathDoesntLie #SubTuring #FormalVerification #Fortran #SpectralGraphTheory #Kintsugi #ReductiveAI #DataSovereignty #LocalFirst #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #Roomba

  11. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

    #AI #Climate #ScientificProgramming #SystemicEngineering #Fiction #Cybernetics #SystemicTherapy #LocalInference #TheMathDoesntLie

  12. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

  13. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

    #AI #Climate #ScientificProgramming #SystemicEngineering #Fiction #Cybernetics #SystemicTherapy #LocalInference #TheMathDoesntLie #SubTuring #FormalVerification #Fortran #SpectralGraphTheory #Kintsugi #ReductiveAI #DataSovereignty #LocalFirst #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #Roomba

  14. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

    #AI #Climate #ScientificProgramming #SystemicEngineering #Fiction #Cybernetics #SystemicTherapy #LocalInference #TheMathDoesntLie #SubTuring #FormalVerification #Fortran #SpectralGraphTheory #Kintsugi #ReductiveAI #DataSovereignty #LocalFirst #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #Roomba

  15. About a month ago, a stranger sent me an email to thank me for a blog post I wrote. It meant a lot, because nobody ever commented before.

    His only issue was finding it AFTER he finished his PhD instead of before he started.
    robjohnston.github.io/blog/arc

    #ScientificProgramming

  16. About a month ago, a stranger sent me an email to thank me for a blog post I wrote. It meant a lot, because nobody ever commented before.

    His only issue was finding it AFTER he finished his PhD instead of before he started.
    robjohnston.github.io/blog/arc

    #ScientificProgramming

  17. About a month ago, a stranger sent me an email to thank me for a blog post I wrote. It meant a lot, because nobody ever commented before.

    His only issue was finding it AFTER he finished his PhD instead of before he started.
    robjohnston.github.io/blog/arc

    #ScientificProgramming

  18. About a month ago, a stranger sent me an email to thank me for a blog post I wrote. It meant a lot, because nobody ever commented before.

    His only issue was finding it AFTER he finished his PhD instead of before he started.
    robjohnston.github.io/blog/arc

    #ScientificProgramming

  19. About a month ago, a stranger sent me an email to thank me for a blog post I wrote. It meant a lot, because nobody ever commented before.

    His only issue was finding it AFTER he finished his PhD instead of before he started.
    robjohnston.github.io/blog/arc

  20. Remember I said that in 2026 I was going to start blogging so that I can be more articulate about software development and architecture? I think this will help me in job interviews.

    Well, I've decided on my first blog series and have been enjoying the process so far. More coming in the new year.

    dev.to/robjohnston/solid-princ

    #SoftwareDevelopment #Programming #ScientificProgramming #SolidPrinciples

  21. Remember I said that in 2026 I was going to start blogging so that I can be more articulate about software development and architecture? I think this will help me in job interviews.

    Well, I've decided on my first blog series and have been enjoying the process so far. More coming in the new year.

    dev.to/robjohnston/solid-princ

    #SoftwareDevelopment #Programming #ScientificProgramming #SolidPrinciples

  22. Remember I said that in 2026 I was going to start blogging so that I can be more articulate about software development and architecture? I think this will help me in job interviews.

    Well, I've decided on my first blog series and have been enjoying the process so far. More coming in the new year.

    dev.to/robjohnston/solid-princ

    #SoftwareDevelopment #Programming #ScientificProgramming #SolidPrinciples

  23. Remember I said that in 2026 I was going to start blogging so that I can be more articulate about software development and architecture? I think this will help me in job interviews.

    Well, I've decided on my first blog series and have been enjoying the process so far. More coming in the new year.

    dev.to/robjohnston/solid-princ

    #SoftwareDevelopment #Programming #ScientificProgramming #SolidPrinciples

  24. Remember I said that in 2026 I was going to start blogging so that I can be more articulate about software development and architecture? I think this will help me in job interviews.

    Well, I've decided on my first blog series and have been enjoying the process so far. More coming in the new year.

    dev.to/robjohnston/solid-princ

  25. Looking to connect with researchers/programmers using the Cerebras WSE for scientific programming. I’m currently implementing CFD on Cerebras WSE-3 as part of my MSc project.

  26. Looking to connect with researchers/programmers using the Cerebras WSE for scientific programming. I’m currently implementing CFD on Cerebras WSE-3 as part of my MSc project.

    #cerebras #wse #waferscalecomputing #ScientificProgramming #hpc #cfd #programming

  27. Looking to connect with researchers/programmers using the Cerebras WSE for scientific programming. I’m currently implementing CFD on Cerebras WSE-3 as part of my MSc project.

    #cerebras #wse #waferscalecomputing #ScientificProgramming #hpc #cfd #programming

  28. Looking to connect with researchers/programmers using the Cerebras WSE for scientific programming. I’m currently implementing CFD on Cerebras WSE-3 as part of my MSc project.

    #cerebras #wse #waferscalecomputing #ScientificProgramming #hpc #cfd #programming

  29. Looking to connect with researchers/programmers using the Cerebras WSE for scientific programming. I’m currently implementing CFD on Cerebras WSE-3 as part of my MSc project.

    #cerebras #wse #waferscalecomputing #ScientificProgramming #hpc #cfd #programming

  30. So I was given credits for programming 3 but I see I don't almost half the topics in the syllabus, should i mayhaps perhaps (1) take the class? OR (2)should i talk to one of the instructors and work on a self-paced syllabus for that class?😕
    Additionally, if there are any resources for Scientific Programming courses, syllabus, textbooks or notes if you are organized and willing, it would help a lot!
    #ScientificProgramming #Syllabus #Resources #Advice #Poll

  31. So I was given credits for programming 3 but I see I don't almost half the topics in the syllabus, should i mayhaps perhaps (1) take the class? OR (2)should i talk to one of the instructors and work on a self-paced syllabus for that class?😕
    Additionally, if there are any resources for Scientific Programming courses, syllabus, textbooks or notes if you are organized and willing, it would help a lot!
    #ScientificProgramming #Syllabus #Resources #Advice #Poll

  32. So I was given credits for programming 3 but I see I don't almost half the topics in the syllabus, should i mayhaps perhaps (1) take the class? OR (2)should i talk to one of the instructors and work on a self-paced syllabus for that class?😕
    Additionally, if there are any resources for Scientific Programming courses, syllabus, textbooks or notes if you are organized and willing, it would help a lot!
    #ScientificProgramming #Syllabus #Resources #Advice #Poll