DAILY RECORD / 2024
366 published entries in 2024.
NOTES
The year AI became operational
Retrospective AI note: The year AI became operational.
The direction is clear
Retrospective AI note: The direction is clear.
What I am carrying forward
Retrospective AI note: What I am carrying forward.
The next level of access
Retrospective AI note: The next level of access.
A personal operating system
Retrospective AI note: A personal operating system.
The questions remain
Retrospective AI note: The questions remain.
The human centre
Retrospective AI note: The human centre.
A quieter reflection
Retrospective AI note: A quieter reflection.
The work I want
Retrospective AI note: The work I want.
The value of restraint
Retrospective AI note: The value of restraint.
The future of safeguards
Retrospective AI note: The future of safeguards.
Reasoning and safety
Retrospective AI note: Reasoning and safety.
A question of power
Retrospective AI note: A question of power.
The human responsibility
Retrospective AI note: The human responsibility.
A year of interfaces
Retrospective AI note: A year of interfaces.
More than output
Retrospective AI note: More than output.
The importance of source trails
Retrospective AI note: The importance of source trails.
Better than a summary
Retrospective AI note: Better than a summary.
The research future
Retrospective AI note: The research future.
From assistance to agency
Retrospective AI note: From assistance to agency.
Gemini 2.0 points to agents
Retrospective AI note: Gemini 2.0 points to agents.
The need for provenance
Retrospective AI note: The need for provenance.
Sora becomes available
Retrospective AI note: Sora becomes available.
The creator’s responsibility
Retrospective AI note: The creator’s responsibility.
The personal archive
Retrospective AI note: The personal archive.
The world is multimodal
Retrospective AI note: The world is multimodal.
The visual future continues
Retrospective AI note: The visual future continues.
A stronger standard
Retrospective AI note: A stronger standard.
The cost curve matters
Retrospective AI note: The cost curve matters.
Beyond novelty
Retrospective AI note: Beyond novelty.
The year in one feeling
Retrospective AI note: The year in one feeling.
November’s lesson
Retrospective AI note: November’s lesson.
A personal commitment
Retrospective AI note: A personal commitment.
Gratitude for the moment
Retrospective AI note: Gratitude for the moment.
The useful connector
Retrospective AI note: The useful connector.
Open standards matter
Retrospective AI note: Open standards matter.
MCP opens a bridge
Retrospective AI note: MCP opens a bridge.
The context gap
Retrospective AI note: The context gap.
Less fragmented work
Retrospective AI note: Less fragmented work.
The operating system question
Retrospective AI note: The operating system question.
More capable small teams
Retrospective AI note: More capable small teams.
A practical future
Retrospective AI note: A practical future.
Better use of personal knowledge
Retrospective AI note: Better use of personal knowledge.
A long-term view
Retrospective AI note: A long-term view.
AI and public trust
Retrospective AI note: AI and public trust.
The human backup
Retrospective AI note: The human backup.
The less glamorous work
Retrospective AI note: The less glamorous work.
A founder’s opportunity
Retrospective AI note: A founder’s opportunity.
Better digital systems
Retrospective AI note: Better digital systems.
The difference between access and permission
Retrospective AI note: The difference between access and permission.
The product’s responsibility
Retrospective AI note: The product’s responsibility.
A new trust layer
Retrospective AI note: A new trust layer.
Systems should be legible
Retrospective AI note: Systems should be legible.
More than integrations
Retrospective AI note: More than integrations.
The importance of context
Retrospective AI note: The importance of context.
One year after DevDay
Retrospective AI note: One year after DevDay.
The human edge
Retrospective AI note: The human edge.
A new kind of product map
Retrospective AI note: A new kind of product map.
The return of operations
Retrospective AI note: The return of operations.
Better delegation
Retrospective AI note: Better delegation.
The work behind agency
Retrospective AI note: The work behind agency.
October’s lesson
Retrospective AI note: October’s lesson.
The builder’s workflow changes
Retrospective AI note: The builder’s workflow changes.
AI coding becomes more integrated
Retrospective AI note: AI coding becomes more integrated.
The responsibility of builders
Retrospective AI note: The responsibility of builders.
The system needs a conscience
Retrospective AI note: The system needs a conscience.
A higher bar for trust
Retrospective AI note: A higher bar for trust.
Low-risk beginnings
Retrospective AI note: Low-risk beginnings.
The fragile early stage
Retrospective AI note: The fragile early stage.
The need for caution
Retrospective AI note: The need for caution.
Computer use becomes real
Retrospective AI note: Computer use becomes real.
A new operating layer
Retrospective AI note: A new operating layer.
From answers to actions
Retrospective AI note: From answers to actions.
The human approval
Retrospective AI note: The human approval.
The permission question
Retrospective AI note: The permission question.
A bigger responsibility
Retrospective AI note: A bigger responsibility.
The work beneath autonomy
Retrospective AI note: The work beneath autonomy.
Trust through clarity
Retrospective AI note: Trust through clarity.
The safety of interaction
Retrospective AI note: The safety of interaction.
Better boundaries
Retrospective AI note: Better boundaries.
A new design question
Retrospective AI note: A new design question.
The human author
Retrospective AI note: The human author.
More room for craft
Retrospective AI note: More room for craft.
The ability to revise
Retrospective AI note: The ability to revise.
The role of feedback
Retrospective AI note: The role of feedback.
A different definition of interface
Retrospective AI note: A different definition of interface.
The visual process
Retrospective AI note: The visual process.
The collaborator standard
Retrospective AI note: The collaborator standard.
Beyond the prompt
Retrospective AI note: Beyond the prompt.
Canvas changes the shape
Retrospective AI note: Canvas changes the shape.
Shared workspaces
Retrospective AI note: Shared workspaces.
More than chat
Retrospective AI note: More than chat.
September’s lesson
Retrospective AI note: September’s lesson.
Better use of intelligence
Retrospective AI note: Better use of intelligence.
The difference between help and control
Retrospective AI note: The difference between help and control.
More agency
Retrospective AI note: More agency.
The product’s point of view
Retrospective AI note: The product’s point of view.
The quality of the question
Retrospective AI note: The quality of the question.
A wider set of builders
Retrospective AI note: A wider set of builders.
What remains personal
Retrospective AI note: What remains personal.
The human layer
Retrospective AI note: The human layer.
Stronger workflows
Retrospective AI note: Stronger workflows.
More than content
Retrospective AI note: More than content.
The value of an archive
Retrospective AI note: The value of an archive.
Building for the long term
Retrospective AI note: Building for the long term.
The cost of opaque thinking
Retrospective AI note: The cost of opaque thinking.
A different learning tool
Retrospective AI note: A different learning tool.
The work after reasoning
Retrospective AI note: The work after reasoning.
Better than confidence
Retrospective AI note: Better than confidence.
Time as intelligence
Retrospective AI note: Time as intelligence.
o1 introduces a new direction
Retrospective AI note: o1 introduces a new direction.
The reasoning question
Retrospective AI note: The reasoning question.
The need for humility
Retrospective AI note: The need for humility.
More choices, more discipline
Retrospective AI note: More choices, more discipline.
A stronger first step
Retrospective AI note: A stronger first step.
What I want from software
Retrospective AI note: What I want from software.
The human interpretation
Retrospective AI note: The human interpretation.
The hidden advantage
Retrospective AI note: The hidden advantage.
The question of memory
Retrospective AI note: The question of memory.
The future of research
Retrospective AI note: The future of research.
More than speed
Retrospective AI note: More than speed.
A season for depth
Retrospective AI note: A season for depth.
August’s lesson
Retrospective AI note: August’s lesson.
A broader definition of progress
Retrospective AI note: A broader definition of progress.
More responsibility, not less
Retrospective AI note: More responsibility, not less.
The cost of context
Retrospective AI note: The cost of context.
A long-term relationship
Retrospective AI note: A long-term relationship.
The first honest version
Retrospective AI note: The first honest version.
The importance of process
Retrospective AI note: The importance of process.
Better than a shortcut
Retrospective AI note: Better than a shortcut.
More possible builders
Retrospective AI note: More possible builders.
The confidence to try
Retrospective AI note: The confidence to try.
A learning system
Retrospective AI note: A learning system.
The source of trust
Retrospective AI note: The source of trust.
Good product judgment
Retrospective AI note: Good product judgment.
The need for limits
Retrospective AI note: The need for limits.
The quiet edge
Retrospective AI note: The quiet edge.
Useful transparency
Retrospective AI note: Useful transparency.
A new public expectation
Retrospective AI note: A new public expectation.
The role of institutions
Retrospective AI note: The role of institutions.
Better use of time
Retrospective AI note: Better use of time.
The future of attention
Retrospective AI note: The future of attention.
The right incentives
Retrospective AI note: The right incentives.
A question of agency
Retrospective AI note: A question of agency.
More than automation
Retrospective AI note: More than automation.
The human escalation
Retrospective AI note: The human escalation.
A better feedback culture
Retrospective AI note: A better feedback culture.
The system around the system
Retrospective AI note: The system around the system.
A builder in Europe
Retrospective AI note: A builder in Europe.
Clarity for users
Retrospective AI note: Clarity for users.
The risk-based idea
Retrospective AI note: The risk-based idea.
Responsibility becomes practical
Retrospective AI note: Responsibility becomes practical.
The AI Act enters into force
Retrospective AI note: The AI Act enters into force.
July’s lesson
Retrospective AI note: July’s lesson.
The work behind reliability
Retrospective AI note: The work behind reliability.
A higher bar for products
Retrospective AI note: A higher bar for products.
Learning through building
Retrospective AI note: Learning through building.
A clearer role for founders
Retrospective AI note: A clearer role for founders.
More than benchmarks
Retrospective AI note: More than benchmarks.
The builder’s choice
Retrospective AI note: The builder’s choice.
Openness and responsibility
Retrospective AI note: Openness and responsibility.
Llama 3.1 expands the open field
Retrospective AI note: Llama 3.1 expands the open field.
The source of differentiation
Retrospective AI note: The source of differentiation.
A new operating leverage
Retrospective AI note: A new operating leverage.
The value of constraints
Retrospective AI note: The value of constraints.
Access changes ideas
Retrospective AI note: Access changes ideas.
GPT‑4o mini lowers the cost
Retrospective AI note: GPT‑4o mini lowers the cost.
What small models enable
Retrospective AI note: What small models enable.
A better kind of scale
Retrospective AI note: A better kind of scale.
The education gap
Retrospective AI note: The education gap.
The future is uneven
Retrospective AI note: The future is uneven.
Compliance as craft
Retrospective AI note: Compliance as craft.
The AI Act is published
Retrospective AI note: The AI Act is published.
The product’s memory
Retrospective AI note: The product’s memory.
A useful archive
Retrospective AI note: A useful archive.
More sources, not fewer
Retrospective AI note: More sources, not fewer.
The question of proof
Retrospective AI note: The question of proof.
A new learning companion
Retrospective AI note: A new learning companion.
Less gatekeeping
Retrospective AI note: Less gatekeeping.
The advantage of curiosity
Retrospective AI note: The advantage of curiosity.
Independent thought
Retrospective AI note: Independent thought.
More than a model
Retrospective AI note: More than a model.
The work that matters
Retrospective AI note: The work that matters.
A useful second half
Retrospective AI note: A useful second half.
June’s lesson
Retrospective AI note: June’s lesson.
The year of integration
Retrospective AI note: The year of integration.
The human standard
Retrospective AI note: The human standard.
A shared responsibility
Retrospective AI note: A shared responsibility.
More possible collaborators
Retrospective AI note: More possible collaborators.
Better than generic
Retrospective AI note: Better than generic.
The importance of domain knowledge
Retrospective AI note: The importance of domain knowledge.
A smaller gap
Retrospective AI note: A smaller gap.
Intelligence gets cheaper
Retrospective AI note: Intelligence gets cheaper.
Claude 3.5 Sonnet arrives
Retrospective AI note: Claude 3.5 Sonnet arrives.
The value of uncertainty
Retrospective AI note: The value of uncertainty.
Building in public
Retrospective AI note: Building in public.
A better research process
Retrospective AI note: A better research process.
The cost of shallow output
Retrospective AI note: The cost of shallow output.
Useful augmentation
Retrospective AI note: Useful augmentation.
The future of work
Retrospective AI note: The future of work.
Rules and room to build
Retrospective AI note: Rules and room to build.
Europe formalises the AI Act
Retrospective AI note: Europe formalises the AI Act.
A more invisible AI
Retrospective AI note: A more invisible AI.
The privacy standard
Retrospective AI note: The privacy standard.
AI arrives on the device
Retrospective AI note: AI arrives on the device.
A wider definition of intelligence
Retrospective AI note: A wider definition of intelligence.
What feels durable
Retrospective AI note: What feels durable.
Better questions for institutions
Retrospective AI note: Better questions for institutions.
The public infrastructure
Retrospective AI note: The public infrastructure.
The role of practice
Retrospective AI note: The role of practice.
A different education system
Retrospective AI note: A different education system.
The right first step
Retrospective AI note: The right first step.
The human checkpoint
Retrospective AI note: The human checkpoint.
More context, more care
Retrospective AI note: More context, more care.
May’s lesson
Retrospective AI note: May’s lesson.
The responsibility of defaults
Retrospective AI note: The responsibility of defaults.
No shortcut to care
Retrospective AI note: No shortcut to care.
The right kind of product
Retrospective AI note: The right kind of product.
A new creative baseline
Retrospective AI note: A new creative baseline.
The work behind trust
Retrospective AI note: The work behind trust.
A more open entry point
Retrospective AI note: A more open entry point.
Better feedback
Retrospective AI note: Better feedback.
The human outcome
Retrospective AI note: The human outcome.
More possible paths
Retrospective AI note: More possible paths.
Building with intention
Retrospective AI note: Building with intention.
The assistant as a layer
Retrospective AI note: The assistant as a layer.
What I want to see
Retrospective AI note: What I want to see.
The personal context question
Retrospective AI note: The personal context question.
The trust test
Retrospective AI note: The trust test.
A more natural computer
Retrospective AI note: A more natural computer.
More than one assistant
Retrospective AI note: More than one assistant.
AI becomes platform-wide
Retrospective AI note: AI becomes platform-wide.
GPT‑4o changes the feel
Retrospective AI note: GPT‑4o changes the feel.
The future is an interface
Retrospective AI note: The future is an interface.
What remains scarce
Retrospective AI note: What remains scarce.
The value of clarity
Retrospective AI note: The value of clarity.
A public question
Retrospective AI note: A public question.
The important friction
Retrospective AI note: The important friction.
Knowledge needs structure
Retrospective AI note: Knowledge needs structure.
New creative confidence
Retrospective AI note: New creative confidence.
Better than busy
Retrospective AI note: Better than busy.
The human problem
Retrospective AI note: The human problem.
Small-team leverage
Retrospective AI note: Small-team leverage.
Real work
Retrospective AI note: Real work.
The next phase
Retrospective AI note: The next phase.
April’s lesson
Retrospective AI note: April’s lesson.
A bigger responsibility
Retrospective AI note: A bigger responsibility.
The most important layer
Retrospective AI note: The most important layer.
Stronger feedback loops
Retrospective AI note: Stronger feedback loops.
A better use of abundance
Retrospective AI note: A better use of abundance.
More prototypes, more responsibility
Retrospective AI note: More prototypes, more responsibility.
Not every task deserves automation
Retrospective AI note: Not every task deserves automation.
The need for explanation
Retrospective AI note: The need for explanation.
Building for dignity
Retrospective AI note: Building for dignity.
More people in the conversation
Retrospective AI note: More people in the conversation.
The context problem
Retrospective AI note: The context problem.
AI enters social spaces
Retrospective AI note: AI enters social spaces.
Llama 3 expands access
Retrospective AI note: Llama 3 expands access.
The next open-model moment
Retrospective AI note: The next open-model moment.
What people remember
Retrospective AI note: What people remember.
A reason to stay grounded
Retrospective AI note: A reason to stay grounded.
Less software, more intent
Retrospective AI note: Less software, more intent.
A new kind of interface
Retrospective AI note: A new kind of interface.
The long-term relationship
Retrospective AI note: The long-term relationship.
The learning question
Retrospective AI note: The learning question.
Better defaults
Retrospective AI note: Better defaults.
The value of a point of view
Retrospective AI note: The value of a point of view.
More room for small teams
Retrospective AI note: More room for small teams.
The difference between help and replacement
Retrospective AI note: The difference between help and replacement.
Less fear of the blank page
Retrospective AI note: Less fear of the blank page.
The role of trust
Retrospective AI note: The role of trust.
A clearer direction
Retrospective AI note: A clearer direction.
The tool and the system
Retrospective AI note: The tool and the system.
Faster is not always better
Retrospective AI note: Faster is not always better.
Beyond the hype cycle
Retrospective AI note: Beyond the hype cycle.
March’s lesson
Retrospective AI note: March’s lesson.
A higher standard
Retrospective AI note: A higher standard.
A more open imagination
Retrospective AI note: A more open imagination.
The confidence to start
Retrospective AI note: The confidence to start.
The need for patience
Retrospective AI note: The need for patience.
Proof versus possibility
Retrospective AI note: Proof versus possibility.
Creative work expands
Retrospective AI note: Creative work expands.
Better systems for learning
Retrospective AI note: Better systems for learning.
The source beneath the summary
Retrospective AI note: The source beneath the summary.
The role of builders
Retrospective AI note: The role of builders.
Shared principles
Retrospective AI note: Shared principles.
The human story
Retrospective AI note: The human story.
The public record
Retrospective AI note: The public record.
The scale beneath the tools
Retrospective AI note: The scale beneath the tools.
Better prompts, better thinking
Retrospective AI note: Better prompts, better thinking.
The work after the answer
Retrospective AI note: The work after the answer.
An imperfect map
Retrospective AI note: An imperfect map.
Regulation as design
Retrospective AI note: Regulation as design.
Europe sets a direction
Retrospective AI note: Europe sets a direction.
Stronger foundations
Retrospective AI note: Stronger foundations.
The future of assessment
Retrospective AI note: The future of assessment.
Agency, not dependence
Retrospective AI note: Agency, not dependence.
The cost of confidence
Retrospective AI note: The cost of confidence.
Public systems matter
Retrospective AI note: Public systems matter.
A better question for founders
Retrospective AI note: A better question for founders.
The work of comparison
Retrospective AI note: The work of comparison.
Competition can help
Retrospective AI note: Competition can help.
Claude 3 raises the bar
Retrospective AI note: Claude 3 raises the bar.
Small experiments
Retrospective AI note: Small experiments.
The human checkpoint
Retrospective AI note: The human checkpoint.
A broader field
Retrospective AI note: A broader field.
Leap day
Retrospective AI note: Leap day.
The compounding habit
Retrospective AI note: The compounding habit.
Product honesty
Retrospective AI note: Product honesty.
The first useful version
Retrospective AI note: The first useful version.
What stays difficult
Retrospective AI note: What stays difficult.
Less intimidation
Retrospective AI note: Less intimidation.
Capability and care
Retrospective AI note: Capability and care.
The right learning loop
Retrospective AI note: The right learning loop.
The work still needs taste
Retrospective AI note: The work still needs taste.
A better creative loop
Retrospective AI note: A better creative loop.
The problem of realism
Retrospective AI note: The problem of realism.
A responsibility to explain
Retrospective AI note: A responsibility to explain.
Memory changes the interaction
Retrospective AI note: Memory changes the interaction.
The visual future
Retrospective AI note: The visual future.
Video and long context
Retrospective AI note: Video and long context.
Safety becomes concrete
Retrospective AI note: Safety becomes concrete.
More than a feature
Retrospective AI note: More than a feature.
A changing expectation
Retrospective AI note: A changing expectation.
The value of independence
Retrospective AI note: The value of independence.
The invisible infrastructure
Retrospective AI note: The invisible infrastructure.
A better tutor
Retrospective AI note: A better tutor.
More than efficiency
Retrospective AI note: More than efficiency.
The attention trade
Retrospective AI note: The attention trade.
What I want from tools
Retrospective AI note: What I want from tools.
Building confidence
Retrospective AI note: Building confidence.
Information is not insight
Retrospective AI note: Information is not insight.
The new baseline
Retrospective AI note: The new baseline.
The value of friction
Retrospective AI note: The value of friction.
A more personal interface
Retrospective AI note: A more personal interface.
January’s lesson
Retrospective AI note: January’s lesson.
The responsibility of speed
Retrospective AI note: The responsibility of speed.
Better questions
Retrospective AI note: Better questions.
The long view
Retrospective AI note: The long view.
The user comes first
Retrospective AI note: The user comes first.
Faster feedback
Retrospective AI note: Faster feedback.
What trust looks like
Retrospective AI note: What trust looks like.
A system, not a trick
Retrospective AI note: A system, not a trick.
The hardest choice
Retrospective AI note: The hardest choice.
Quiet leverage
Retrospective AI note: Quiet leverage.
A different kind of literacy
Retrospective AI note: A different kind of literacy.
The future of expertise
Retrospective AI note: The future of expertise.
More access, new gaps
Retrospective AI note: More access, new gaps.
The work before automation
Retrospective AI note: The work before automation.
Learning in public
Retrospective AI note: Learning in public.
A faster first draft
Retrospective AI note: A faster first draft.
The question behind the output
Retrospective AI note: The question behind the output.
The signal problem
Retrospective AI note: The signal problem.
A new distribution layer
Retrospective AI note: A new distribution layer.
The human behind the tool
Retrospective AI note: The human behind the tool.
More than prompts
Retrospective AI note: More than prompts.
Custom assistants become public
Retrospective AI note: Custom assistants become public.
The shift underneath
Retrospective AI note: The shift underneath.
Useful skepticism
Retrospective AI note: Useful skepticism.
More room for ambition
Retrospective AI note: More room for ambition.
A personal standard
Retrospective AI note: A personal standard.
Context is work
Retrospective AI note: Context is work.
Less waiting
Retrospective AI note: Less waiting.
The real advantage
Retrospective AI note: The real advantage.
Better habits
Retrospective AI note: Better habits.
A year to build
Retrospective AI note: A year to build.