A pipeline where I set AI loose on topics I choose. Five main stages — lit review, topology, model, data, build. Every stage produces a writeup plus a possible artifact, and every finished topic ends in a final writeup and artifact(s) (tool, dashboard, explainer, etc.) that any person can use.
How the AI transition restructures work, personal life, and relationships — not surface-level advice but a structural analysis of what changes and why. The output should be useful for someone making real decisions about career, education, relationships, and life architecture as AI capability accelerates.
What the science actually says about psychological variation — heritability, environmental shaping, gene-environment interaction, sex differences, cognitive capacity. A minefield of motivated reasoning where the actual generating functions are obscured by politics.
Optimal workflow architecture for an individual knowledge worker given the current AI / agent / automation toolset. Not "use AI" but the specific choreography — which tools for which cognitive operations, where human judgment is essential vs. bottleneck, and how to structure the feedback loops.
How implicit positions on free will, ethics, knowledge, and identity silently shape career, relationship, risk, and meaning decisions.
How foundational assumptions about knowledge, ethics, and human nature shape the structure and failure modes of families, companies, and governments.
Major positions on consciousness, personal identity, mental causation, and the mind–body problem — and the dependency structure between them.
The major ethical frameworks — internal logic, where they actually disagree vs. converge, and what each recommends in concrete situations.
How we know what we know and how we should update beliefs. Major positions and what each implies for thinking, arguing, and changing your mind.
The gap between the environment human psychology evolved for and the one it now operates in — which mismatches cause the most suffering and what actually addresses them.
Structural analysis of how the AI transition restructures work, relationships, and meaning — beyond surface-level career advice.
What emotions are, where they come from, and what they're for. Major theories and what each implies about regulation and self-understanding.
How humans construct meaning and orient toward existence — across religious, philosophical, and secular frameworks.
Five frameworks (evolution, thermodynamics, information theory, game theory, complex systems) and the structural isomorphisms they generate.
AI relaxes bandwidth constraints that historically forced lossy compressions — money, governance, credentialing — into stable categories. What happens when those decompress.
How much meaning survives transmission across channels and timescales. The loss function for communication and what it implies for institutions.
How trust is built, maintained, and destroyed at every scale — and how the trust landscape has shifted from past eras.
How parents shape their children — genes, environment, parenting style, worldview transmission, and the recursion across generations.
What determines how well-calibrated someone is on a domain, and what interventions actually improve calibration.
Map the orthogonal cognitive dimensions where AI and human capability diverge, using O*NET tasks as the empirical substrate.