Ecological Network Resilience
Computational modelling of stochastic plant-pollinator interaction systems
A living body of thought across systems, AI, ecology, and operational complexity. Research notes, essays, frameworks, and long-form analysis.
Computational modelling of stochastic plant-pollinator interaction systems
Experimental orchestration systems for real-time football intelligence
A deep dive into the physics of LLM attention, agentic architectures, and why connecting an AI to everything may quietly make it worse at thinking
Why modern AI may be a historic breakthrough, a civilizational inflection point… and still fundamentally incapable of becoming true Artificial General Intelligence.
Why ecosystems may already be performing forms of distributed computation
Why biological systems scale through redundancy, ambiguity, and controlled chaos — while software keeps chasing purity
Waterfall is what the client wants. Agile is what BIM needs
A deep dive into the physics of LLM attention, agentic architectures, and why connecting an AI to everything may quietly make it worse at thinking
Why modern AI may be a historic breakthrough, a civilizational inflection point… and still fundamentally incapable of becoming true Artificial General Intelligence.
The Physics of Intelligence Scaling
Experimental orchestration systems for real-time football intelligence
Computational modelling of stochastic plant-pollinator interaction systems
Series
Why organizations separate operational systems from analytical systems—and why that separation became inevitable.
Why successful requests depend on far more than the software you deploy.
Because eventually your business questions outgrow the systems that originally generated the data.
Why resilient systems assume external services will fail and are designed accordingly.
Why flexibility often becomes the most expensive feature in a data model.
Why contemporary systems rarely crash from bad code and increasingly fail from retained state.
Why modern analytics platforms must track how reality changes, not just what reality currently is.
Why modern systems treat compute as disposable and state as infrastructure.
Why modern systems increasingly spend more effort transporting information than processing it.
Why every network connection eventually becomes four numbers and an operating system problem.
How a seemingly harmless identifier choice influences indexes, storage layout, and disk I/O.
Why modern applications should never be exposed directly to the Internet.