DAILY RECORD / JULY 2024
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.