Day: January 12, 2026
Career Moats in the AI Era: Building Durable Advantage with RAG, Fine‑Tuning, Evaluation, Tooling, and Infrastructure
Practical guidance for AI engineers who want to create durable, technical career moats in the AI era. Covers what a career moat is, high-value technical specialties (RAG, PEFT, evaluation, monitoring, governance), concrete trade-offs, common implementation mistakes, and testing/observability practices with citations to official docs and research.
AI in Education: Teaching and Studying Smarter — A Practical, Evidence-Based Workflow for Schools
A practical guide for school leaders and teachers to deploy AI in education: step-by-step workflows, tools and prerequisites, evidence and case studies, privacy and ethics checklists, common mistakes, and measurable pilot designs to teach and study smarter with AI.