The hottest Systems theory Substack posts right now

And their main takeaways
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Specify it only somewhat

Subconscious • 1028 implied HN points • 25 Jan 26
đź•ą Technology Systems theory
  1. AI agents turn creators into generative composers. Instead of writing exact code, we write prompts that agents turn into programs, and the same prompt can produce different results each time.
  2. Ambiguity and variety are creative materials. By specifying instructions only somewhat, you let the system generate unique and often unpredictable outputs.
  3. Using agents shifts complexity and control into the agent. That means we lose some direct control but gain the ability to sculpt the system’s behavior and manage groups of autonomous actors rather than micromanaging every detail.

Strategy in four worlds

Subconscious • 1265 implied HN points • 11 Jan 26
đź•ą Technology Systems theory
  1. Risk and uncertainty are different: risk is measurable and fits expected-utility tools, while uncertainty involves unknown possible outcomes and needs a different approach. You can categorize environments as clear, complicated, complex, or chaotic based on how cause and effect behave.
  2. Match your tactics to the environment: clear and complicated problems reward forecasting, expert analysis, and optimization, whereas complex systems require robust, antifragile strategies that map feedback loops, and chaotic situations demand fast reflexes and simple orientation to survive.
  3. Scenario planning is the right tool for complexity: it helps identify major drivers, surface feedback loops, and wind‑tunnel strategies across many plausible futures so you can build robustness or intentionally shape outcomes. Because real challenges mix these worlds, skilled strategists combine forecasting, scenarios, and adaptive judgment rather than relying on one model.

Foundations of My Living Personal Systems

Human Programming • 38 implied HN points • 05 Mar 26
đź“– Philosophy Systems theory
  1. External, persistent prompts and simple systems can focus attention and direct actions toward your most important goals.
  2. Build adaptive, self-maintaining (autopoietic) systems that can create and update their own parts so values and processes emerge and evolve over time.
  3. Start with modest reflective routines—daily journaling and weekly reviews—to compel continual improvement and let the system self-modify toward leading a good life.

Anatomy of Oscillation

Software Design: Tidy First? • 1060 implied HN points • 10 Feb 25
đź•ą Technology Systems theory
  1. Oscillation occurs when systems swing between extremes, like adjusting a thermostat. A delay between making a change and feeling the effect can cause back-and-forth adjustments.
  2. In nature, predator and prey populations can also oscillate, like rabbits and hawks. More rabbits lead to more hawks, which eventually can cause the rabbit population to drop, repeating the cycle.
  3. Calls for comprehensive documentation in software may lead to oscillation. As information decays over time, teams might swing between needing more documentation and finding fewer resources to support that need.

Places to intervene in a system

Subconscious • 1423 implied HN points • 18 Nov 24
đź“– Philosophy Systems theory
  1. Intervening in a system can be done through different levels of influence, starting from simple changes like adjusting parameters to deeper shifts like altering mindsets.
  2. All systems are creations of our thoughts and perspectives, meaning we can change how we view these systems, which can influence outcomes.
  3. True change often requires patience and may not show immediate results, so focusing on inner transformation is essential for meaningful progress.
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eisenhower as cybernetician

Dan Davies - "Back of Mind" • 373 implied HN points • 30 Jun 23
đź•ą Technology Systems theory
  1. Dwight Eisenhower highlighted the importance of maintaining balance in national programs and between private and public sectors.
  2. There was a new decision-making system created by the conjunction of military and industrial establishments.
  3. The warning was given that this system could generate outcomes not necessarily desired, seek growth, and be influenced by technological advancements.

Strange attractors

johan’s substack • 19 implied HN points • 06 Jun 24
🔬 Science Systems theory
  1. Language operates as a dynamic, networked construct, constantly evolving with new ideas and combinations.
  2. A systems-oriented approach to semiotics views meaning-making as a complex, adaptive, and emergent process.
  3. Emergent Semiotic Resonance (ESR) is when human and artificial agents co-create new structures of meaning, aligning and synchronizing their semiotic frameworks through feedback loops.

Just Don't Be Stupid

Polymathic Being • 65 implied HN points • 29 Jun 25
đź“– Philosophy Systems theory
  1. Inversion is about looking at problems from a different angle to avoid mistakes. Instead of just chasing success, think about what could go wrong and how to prevent it.
  2. Applying inversion helps in both technology and psychology by allowing us to see potential failures. This way, we can develop better solutions and reduce fear of the unknown.
  3. A key part of inversion is acknowledging negative outcomes. By thinking about what we dread and planning for it, we can manage life's ups and downs better.

An Apology to the Insiders

Gordian Knot News • 131 implied HN points • 08 Feb 25
🔬 Science Systems theory
  1. Some people in the nuclear industry feel offended by criticisms, believing the blame is directed at them rather than the broken system. It's important to clarify that the focus should be on changing the system, not attacking individuals.
  2. The author reflects on their experience in a flawed system, sharing a personal story about a report they wrote that was ignored to protect jobs. This shows how systems can trap people into doing the wrong thing.
  3. The author wants to apologize to those in the industry for any misunderstanding, emphasizing that the real problem lies in the system that has led to negative outcomes, not in the people who worked within it.

10. On Emergence

Insight Axis • 79 implied HN points • 15 May 23
🔬 Science Systems theory
  1. Emergence occurs when an entity has properties that its individual parts do not possess, displaying behaviors that only emerge in interaction.
  2. Simple computational or geometric rules can lead to unpredictable and complex outputs, showcasing the beauty of emergence.
  3. Emergence, as seen in cybernetics with Braitenberg's Vehicles, demonstrates how simple structures can give rise to emergent, complex behavior, hinting at the potential for understanding the universe through simple rules.

Forbidden Truths from Within

Vic's Verdict • 0 implied HN points • 20 Jun 25
đź“– Philosophy Systems theory
  1. Gödel's Incompleteness Theorem tells us that no system can be both complete and consistent. This means some truths can't be proven within a system, reminding us that there are limits to what we can understand.
  2. In health and personal systems, we often focus too narrowly on specific areas without considering the larger context. This can lead to solutions that fix one problem but create new issues elsewhere.
  3. When working in groups or organizations, it's important to get outside perspectives. These outsiders can see the bigger picture and help identify blind spots that those involved might miss.

Information as constraint of behavior

Space chimp life • 0 implied HN points • 07 Jan 24
đź“– Philosophy Systems theory
  1. Institutions shape how we behave by restricting certain actions. This can be seen in clear rules or by making other choices harder or more costly.
  2. Information is created when different conditions allow an entity to do work, as shown in the example of a simple organism's behavior. The way it manages energy and information is crucial for survival.
  3. Just like simple organisms, institutions also gather information from their environment and use it to influence our actions. The way they set up rules determines the kind of work they can do.

Justification for treating institutions as higher order forms of life

Space chimp life • 0 implied HN points • 22 Apr 24
đź“– Philosophy Systems theory
  1. Institutions can operate independently of humans and have roles that can be filled by animals or machines, like robots or AI. This shows that institutions have their own form of life, separate from human involvement.
  2. Much like living organisms, institutions experience organization, growth, adaptation, and reproduction. They can maintain their processes and even thrive with or without human contributions.
  3. Understanding institutions as life forms can help us design better systems that serve people's needs and create balance. This idea could lead to more transparent institutions that listen to the public and adapt more quickly to change.