DAILY RECORD / OCTOBER 2025
October’s lesson
Retrospective AI note: October’s lesson.
Better questions for policy
Retrospective AI note: Better questions for policy.
The cost of abstraction
Retrospective AI note: The cost of abstraction.
A public language for risk
Retrospective AI note: A public language for risk.
The need for standards
Retrospective AI note: The need for standards.
The difficult middle
Retrospective AI note: The difficult middle.
The risk of overfitting
Retrospective AI note: The risk of overfitting.
The end of generic software
Retrospective AI note: The end of generic software.
The right kind of friction
Retrospective AI note: The right kind of friction.
A case for interoperability
Retrospective AI note: A case for interoperability.
The danger of lock-in
Retrospective AI note: The danger of lock-in.
Systems should preserve exits
Retrospective AI note: Systems should preserve exits.
A deeper definition of agency
Retrospective AI note: A deeper definition of agency.
What remains human
Retrospective AI note: What remains human.
The myth of effortless intelligence
Retrospective AI note: The myth of effortless intelligence.
The infrastructure of trust
Retrospective AI note: The infrastructure of trust.
The future of public services
Retrospective AI note: The future of public services.
The value of contestability
Retrospective AI note: The value of contestability.
Institutions need constitutions
Retrospective AI note: Institutions need constitutions.
The agent as an institution
Retrospective AI note: The agent as an institution.
The accountability gradient
Retrospective AI note: The accountability gradient.
The next professional skill
Retrospective AI note: The next professional skill.
The value of review
Retrospective AI note: The value of review.
The modern apprenticeship
Retrospective AI note: The modern apprenticeship.
Reliability over charisma
Retrospective AI note: Reliability over charisma.
The importance of edge cases
Retrospective AI note: The importance of edge cases.
The new evaluation challenge
Retrospective AI note: The new evaluation challenge.
The burden of continuity
Retrospective AI note: The burden of continuity.
Memory is governance
Retrospective AI note: Memory is governance.
The meaning of persistence
Retrospective AI note: The meaning of persistence.
Long-horizon work
Retrospective AI note: Long-horizon work.