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

The tech industry's insistence on distinguishing between "soft skills" β€” caring for people β€” and "hard skills" β€” engineering rigor β€” 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 β€” the woman who coined the term "software engineering" β€” understood this. Silicon Valley chose to forget.

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

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

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It's a Tool, It's a Person, It's a Hypervigilance Problem

The Alignment Problem is the Halting Problem wearing a trenchcoat. The software that runs the world β€” including AI β€” is built on a substrate that cannot observe itself. We've known this since 1951. We built civilization on it anyway.

systemic.engineering

🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?

πŸ”— Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099

πŸ“š CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

Say a graph G has the Ramsey property if every 2-coloring of G contains a monochromatic triangle.

It's well-known that 𝐾₆ has this property, and therefore so does any G containing 𝐾₆. But this math SE question observes that a graph can have the Ramsey property even if it does not contain any 𝐾₆.

Question: is there a finite family F of graphs such a graph G has the Ramsey property if and only if it contains some graph from F?

https://math.stackexchange.com/q/5137768/25554

#graphTheory #ramseyTheory

List of forbidden subgraphs for simple Ramsey property

Everyone's first introduction to Ramsey theory is the fact that $R(3,3)=6$, namely that any 2- coloring of $K_6$ must contain a mono-colored $K_3$. Likewise any graph that has a $K_6$ subgraph can'...

Mathematics Stack Exchange

New paper. With Ekaterina Vasileva, Liubov Tupikina, Dmitry Fedorov, Daniil Musatov, Andrei Raigorodskii and Stefano Boccaletti.

The naive generalization of the concept of distance to hypergraphs is equivalent to applying a clique-projection approximation. However, this is known to induce loss of information, especially in networks where the higher-order interactions are very important. To fix this problem,we introduce a new definition of distance on weighted higher-order networks, which includes the case of unweighted hypergraphs and classic graph distance as particular cases, and allows one to account for different meanings associated to the weights. We also show what difference this makes in analyses of real-world data.

https://www.nature.com/articles/s42005-026-02592-w

#mathematics #physics #graphtheory #graphs #hypergraphs #higherordernetworks #networkscience #networks

Distances in weighted higher-order networks - Communications Physics

The concept of distance in graphs and hypergraphs faces challenges when extended to weighted hypergraphs due to potential inconsistencies. The authors propose a well-defined distance measure for weighted hypergraphs and demonstrate its applicability on real-world datasets, showing that the use of the measure may help to avoid the information loss typically arising when standard approaches are used.

Nature

Drawing shapes without lifting pen and retracing any edge: Eulerian path.

https://makertube.net/w/fBbLyxXPHTPtPZTuYEuYab

Drawing shapes without lifting pen and retracing any edge: Eulerian path.

PeerTube

A sneak peek into my upcoming piece: β€œIt’s a Tool, It’s a Person: The Math Says You’re Both Right”

β€”
AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. β€œArtificial 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

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.

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https://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

The Waiting Room

A neuroqueer engineer dies and gets put in a holding cell in the afterlife. They make coffee. It gets complicated.

systemic.engineering