A thoughtful start.
A useful next step.
A journal about the foundations of everyday AI. We explore models, context, and evaluation in language that connects a technical idea with a practical question.
Useful discoveries.
Make room to try.
Pay attention to what changes.
AI tools can produce an immediate result while the process behind it remains unfamiliar. Understanding their role begins with a specific task and a clear account of what the output can support.
We publish accessible essays about model behavior, practical use, and human review. The focus is thoughtful experimentation, with uncertainty and responsibility kept visible.
We begin with the role a model performs and distinguish it from the surrounding application. Clear vocabulary makes the limits easier to discuss.
Understanding the mechanism helps us ask what the result can support.See ideas in practice
A few ideas we return to.
Begin with a bounded task
Choose a purpose whose result can be understood and reviewed.
Inspect the evidence
Fluent output should not substitute for a check of the underlying claim.
Keep responsibility clear
Understand which decisions remain with the people using and designing the tool.
Give a question room to develop.
Define the job
Specify the input, the intended result, and the limits of the task. A clear boundary makes the tool’s contribution easier to judge.
Inspect the output
Check the factual claims and the fit with the original request. Useful phrasing does not guarantee that the content is correct.
Keep the decision visible
Record what a person reviewed and what remains uncertain. A tool can support the work without owning every consequence of the result.
A few ideas in conversation.
Missing is not a number
A journal about interpreting the figures that appear in everyday reports and conversations. We explore definitions, comparisons, and the questions that a summary can hide.
Explore the ideaBuild with a little more restraint
An independent journal about emerging ideas and inspectable experiments. We look for concrete tasks, observable changes, and the questions a demonstration leaves open.
Explore the ideaOur stories focus on lasting ideas and general explanations. Specific products, settings, and standards evolve. When a detail matters to your own work, follow the current documentation for the system involved.
Examples describe hypothetical situations to help explain an idea. Photography is illustrative. Abstract illustrations use shape, light, and color to offer another perspective.
Separate two parts of the process
Choose an AI application and distinguish its input, model output, and any retrieved sources. Which part would you need to inspect for your task?