DAILY RECORD / MAY 2026
May’s lesson
Retrospective AI note: May’s lesson.
The role of smaller builders
Retrospective AI note: The role of smaller builders.
The concentration question
Retrospective AI note: The concentration question.
Infrastructure remains the story
Retrospective AI note: Infrastructure remains the story.
The institutional adoption curve
Retrospective AI note: The institutional adoption curve.
The social life of intelligence
Retrospective AI note: The social life of intelligence.
Beyond the answer
Retrospective AI note: Beyond the answer.
A question of epistemic power
Retrospective AI note: A question of epistemic power.
The future of search
Retrospective AI note: The future of search.
More action, more responsibility
Retrospective AI note: More action, more responsibility.
The question of world understanding
Retrospective AI note: The question of world understanding.
From media to world models
Retrospective AI note: From media to world models.
The agentic Gemini era
Retrospective AI note: The agentic Gemini era.
A more demanding standard
Retrospective AI note: A more demanding standard.
The importance of synthesis
Retrospective AI note: The importance of synthesis.
The future of analysis
Retrospective AI note: The future of analysis.
Beyond efficiency language
Retrospective AI note: Beyond efficiency language.
The discipline of evidence
Retrospective AI note: The discipline of evidence.
The logic of trust
Retrospective AI note: The logic of trust.
The value of a narrow problem
Retrospective AI note: The value of a narrow problem.
A builder’s responsibility
Retrospective AI note: A builder’s responsibility.
The work of translation
Retrospective AI note: The work of translation.
The new professional edge
Retrospective AI note: The new professional edge.
The cost of missing context
Retrospective AI note: The cost of missing context.
The importance of handoffs
Retrospective AI note: The importance of handoffs.
Better than a feature
Retrospective AI note: Better than a feature.
The role of systems thinking
Retrospective AI note: The role of systems thinking.
The task beneath the task
Retrospective AI note: The task beneath the task.
The quality of an operating model
Retrospective AI note: The quality of an operating model.
From possibility to practice
Retrospective AI note: From possibility to practice.
The next stage of work
Retrospective AI note: The next stage of work.