Archive
Page 3 of the running record.
Accessibility is Apple’s most practical AI strategy
Apple’s new accessibility updates matter beyond feature checklists: they show a pragmatic AI strategy built on on-device execution, cross-platform distribution, and workflows where value is immediately testable by users.
Take Note Tuesday: what I learned from dissecting *Generative AI at Work* as an argument
A close reading of Brynjolfsson, Li, and Raymond’s NBER working paper as a writing artifact: how it sequences causal identification, heterogeneity, mechanisms, and boundary conditions to make a large claim credible.
Legal AI is splitting between speed and accountability
The Anthropic–Thomson Reuters integration is a signal that legal AI is separating into two layers: fast general-purpose exploration and fiduciary-grade execution workflows. In high-stakes work, model quality matters—but control architecture matters more.
Provenance is not execution security
The TanStack compromise and OpenAI’s downstream response show a hard truth for the AI stack: signed artifacts and trusted publishers are necessary, but they do not guarantee safe execution. Deployment trust architecture is now a competitive capability, not just a security checkbox.
LinkedIn is repricing itself as labor-market infrastructure
LinkedIn’s 5% workforce cut alongside double-digit revenue growth is less a collapse story than an operating-model reset: reduce low-leverage spend, concentrate on AI-supported matching infrastructure, and defend long-run platform economics.
AI layoff headlines are becoming capital-allocation signals
Cisco’s same-week combination of record revenue, raised AI expectations, and workforce reductions is less a contradiction than a map of where large tech operators think the next margin and growth curve lives.