The archive over time
Jeff launched AI-Curious in August 2023, when generative AI still felt defined by the shock of what these systems could make.
Jeff’s reporting gradually moved toward harder questions: What happens when those systems enter real work, institutions, and public life?
Later conversations revisit earlier claims with new definitions and evidence. The questions change; the record stays visible.
Era
What can generative systems make, imitate, or extend—and what would it mean if they became creative, conscious, or socially useful?
What changedCapability first appeared as novelty. The reporting paired demonstrations with authorship, identity, consent, welfare, and accountability.
Unresolved tensionCreative access versus authorship and labor; fluent output versus consciousness or identity.
Era
Where does AI meet institutions—and what evidence separates useful support from hype?
What changedThe unit of analysis widened from the tool to the workflow or institution: elections, education, finance, mobility, war, and medicine.
Unresolved tensionAugmentation versus substitution; plausible capability versus a validated high-stakes outcome.
Era
How do organizations adopt AI, and who controls the data, incentives, labor, infrastructure, and consequences?
What changedThe model stopped being the whole story. Workflow redesign, culture, provenance, privacy, concentration, and public governance moved to the foreground.
Unresolved tensionFast experimentation versus maintenance and control; individual convenience versus public cost.
Era
What survives the hype cycle when systems move from generating content to acting, trading, or changing work?
What changedAgents became a control problem rather than merely a product category. Direction, timetable, reliability, and realized value needed separate treatment.
Unresolved tensionNew work and leverage versus white-collar compression; agentic influence versus human scaffolding and liability.
Era
What does AI do to learning, careers, creativity, agency, and the quality of human participation?
What changedThe frame became formative: who is learning, practicing judgment, curating, performing, or losing agency?
Unresolved tensionAccess to tutoring and coaching versus skill atrophy; agent autonomy versus meaningful human authority.
Era
What happens when AI becomes infrastructure inside public institutions, labor markets, media systems, and high-stakes care?
What changedThe camera pulled back from individual productivity to institutions, geography, public trust, power, and the consequences of scale.
Unresolved tensionInstitutional scale versus accountability; growth and access versus geography, power, and externalized costs.
Era
What happens after the pilot—and who owns the risk, value, labor transition, and physical bill?
What changedThe practical bottleneck became operating design: context, identity, permissions, measurement, escalation, veto, revocation, and reinvestment.
Unresolved tensionAI to grow versus AI to cut; frontier capability versus evidence and public accountability.
Keep exploring
Field guides connect conversations across time and show how the same challenge looks from different vantage points.