Delegate or Relegate? What Should AI Handle for You?
Why handing execution to AI does not transfer responsibility, and how distinguishing decisions from derivations can clarify what a system should do.
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Neurotransmitter
Thinking about AI, software, and the way we work.
What changes when implementation becomes easier? What still needs human judgment? Essays and working papers exploring the possibilities, the limits, and the decisions in between.
Essays & working papers
18 articles
The Return of the Generalist
Why AI rewards integrated judgment, what making complete things teaches us, and how we might learn to become generalists again.
Read the articleSoftware as the Company (SaC) for AI-Era Applications
A proposed architecture for company-specific software built from durable domain skills, shared contracts, and adaptable interfaces.
Read the articleSoftware As a Company (SaC) DevOps for the AI Era
A governance model for AI-assisted development: controlled provisioning, scoped access, remote environments, and accountable infrastructure lifecycles.
Read the articleWhy Docker Containers No Longer Make Sense for AI-Driven Application Development
An argument for revisiting containers when small teams direct AI agents—and for recognizing the situations where that argument does not apply.
Read the articleWhat AI Is Good At—and What It Is Bad At
Psychotherapy, psychoanalysis, and the limits of conditional consensus: a reflection on what general answers can miss about a particular person.
Read the articlePrivate AI Fluency Coaching
Moving from AI anxiety to practical confidence through hands-on coaching, real work, and the experience of making something yourself.
Read the articleCooking From Inventory Instead of Recipes
An ingredient-first approach to cooking, using AI to explore substitutions, reduce waste, and learn from what is already in the kitchen.
Read the articleWhy Soccer Is Difficult to Predict with Machine Learning
Why sparse scoring, path dependence, and limited data make soccer a problem of probabilities—and why simpler models can be useful.
Read the articleDistillation, the Loop, and the Dimensions of Learning
An exploration of AI distillation and human learning: what copying answers can miss, and how experience, consequences, and recovery shape judgment.
Read the articleInductive and Transductive Learning
A comparison of reusable rules and relational judgments, tracing inductive and transductive learning into questions about memory and how people learn.
Read the articleThree Cuts for Scoping an AI System
Three questions for scoping an AI system: who owns the outcome, which tasks have discoverable answers, and who makes the final choice.
Read the articleWhat AI Confirms about Wittgenstein’s Philosophy
A philosophical argument connecting language models with Wittgenstein, shared practice, and relational meaning—and examining where the comparison stops.
Read the articleUsing AI Agents as Therapists (Comparative Test)
A personal comparison of Gemini and Claude as reflective conversation partners, focusing on their different approaches to framing, adaptability, and challenge.
Read the articleHow AI Reveals Creativity Isn’t “Human”—And What Truly Is
A distinction between solving definable problems and expressing personal taste—and why AI may make the artistic dimension of our choices more important.
Read the articleArt Will Survive AI—Entertainment? Not So Much
An argument that authorship and a recognizable human voice will matter differently in fine art and mass entertainment as AI-generated work becomes abundant.
Read the articleExploring Creativity Through the Lens of AI Models
A personal exploration of creativity through the distinction between discriminative and generative models: recognizing things versus understanding how to make them.
Read the articleModel Collapse in AI and Society: A Parallel Threat to Diversity of Thought
A reflection on model collapse as an analogy for social conformity, secondhand interpretation, and the importance of engaging with original sources.
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