1—2 / week · Long-form analysis
The principles, costs, and impact behind a breakthrough. We don't chase headlines to define our agenda — every AI moment gets tested against our long-running questions.
Every deep dive answers three layers of the same question: What actually happened technically? How will it change people's lives and choices? What future do we want to see come from it?
Where exactly are large models, embodied robots, and affective computing breaking through — and on what tasks? Sourced from public papers, benchmarks, and first-hand engineering interviews.
How do the people directly affected — teachers, caregivers, support agents, creators — describe their anxiety, adaptation, and new possibilities?
What adjustments does this force on education, labor markets, intimacy, and care systems — and who gets to decide the direction of those adjustments?
Optimists argue that once AI absorbs repetitive judgment work, people gain time for the creative, empathetic work that matters most — improving both care and education.
Critics point out that once judgment can be outsourced to a system, accountability blurs — and it's usually the most vulnerable who absorb the cost of a bad call first, not the first to benefit.
Sorted by publish date · every piece lists author, date, and reading time
Deep Dive · YouDuJi Desk · 12 min read
Flagship deep dive · Lin Shen · 14 min read · Sourced from first-hand interviews and original data
Three months in the field with a companion AI product · Su Min · 11 min read