DAILY RECORD / MARCH 2025
March’s lesson
Retrospective AI note: March’s lesson.
The difference between capability and wisdom
Retrospective AI note: The difference between capability and wisdom.
A new creative discipline
Retrospective AI note: A new creative discipline.
The visual epistemology problem
Retrospective AI note: The visual epistemology problem.
The end of single-modal assumptions
Retrospective AI note: The end of single-modal assumptions.
The convergence of mediums
Retrospective AI note: The convergence of mediums.
Thinking becomes a product feature
Retrospective AI note: Thinking becomes a product feature.
Intellectual independence
Retrospective AI note: Intellectual independence.
Research as a relationship
Retrospective AI note: Research as a relationship.
The problem with polished synthesis
Retrospective AI note: The problem with polished synthesis.
The source trail
Retrospective AI note: The source trail.
AI gains web access
Retrospective AI note: AI gains web access.
A new information environment
Retrospective AI note: A new information environment.
The importance of provenance
Retrospective AI note: The importance of provenance.
Coordination as a moat
Retrospective AI note: Coordination as a moat.
New forms of management
Retrospective AI note: New forms of management.
The future of work is organisational
Retrospective AI note: The future of work is organisational.
A system should be interruptible
Retrospective AI note: A system should be interruptible.
Observability matters
Retrospective AI note: Observability matters.
From chat to workflow
Retrospective AI note: From chat to workflow.
The agent stack arrives
Retrospective AI note: The agent stack arrives.
The moral weight of defaults
Retrospective AI note: The moral weight of defaults.
Personalisation and power
Retrospective AI note: Personalisation and power.
What systems remember
Retrospective AI note: What systems remember.
The advantage of proximity
Retrospective AI note: The advantage of proximity.
More output, harder selection
Retrospective AI note: More output, harder selection.
The new operating model
Retrospective AI note: The new operating model.
Better than benchmark theatre
Retrospective AI note: Better than benchmark theatre.
The evaluation problem
Retrospective AI note: The evaluation problem.
The test of usefulness
Retrospective AI note: The test of usefulness.
Beyond the model
Retrospective AI note: Beyond the model.