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#eigenvalues β€” Public Fediverse posts

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

  1. 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

  2. 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/

  3. 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

  4. 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

  5. New paper for the end of the year. We found a convex domain in hyperbolic space for which the fundamental gap for Dirichlet eigenvalues of the Laplacian-with-a-convex-potential is NOT minimised by a constant potential. Joint work with Hien Nguyen and Frieder Jaeckel. We were motivated by a similar result for metric graphs. #maths #eigenvalues arxiv.org/abs/2512.17103

  6. In PCA, eigenvalues represent the variance explained by each principal component, while eigenvectors determine the direction of these components, illustrating how the original variables are weighted.

    More info in my online course: statisticsglobe.com/online-cou

    #DataScience #PCA #Eigenvalues #Eigenvectors #RProgramming #DataAnalysis

  7. An #intoduction after moving instances: I'm a #prof at #cornell in #CS doing scientific computing. Home base is #linearalgebra (esp #eigenvalues), computational #mechanics, #optimization. Work on numerical methods for #data science, formal verification of numerics, #plasma #physics for #fusion, etc. I run our Center for Applied Math, am assoc dean for #DEI in the college. Collect #fountainpens, read #scifi & #fantasy, #code in #julia (and C/C++, Fortran). Also #coffee, #tea, #books, more #books.

  8. I've learned to calculate #Eigenvalues and #Eigenvectors 25 years ago and got a perfect grade.
    However, I never understood, why we were learning this.
    youtube.com/watch?v=PFDu9oVAE- perfectly explained the basics and the motivation within 17 minutes. πŸ‘
    #Mikolasch #TUG #mathematics #math