AI.
04 posts
- 01
Why the Humanities Matter More in the Age of AI
AI generates fluent answers. It does not, on its own, understand context, weigh values, or catch its own bias. That's why literature, philosophy, ethics, and rhetoric are becoming load-bearing skills for anyone working with these systems.
EthicsHumanitiesPrompt EngineeringLLMs8 mins read - 02
AI Coding Assistants in 2026: A Practical Developer's Guide
How to actually get value from GitHub Copilot, Cursor, Claude Code, and Windsurf. Sourced productivity numbers, the security-quality tradeoff nobody wants to talk about, and a real team-adoption checklist.
Software DevelopmentProgrammingProductivityGitHub Copilot10 mins read - 03
Autonomous AI Agents: How They Work and What They Cost in 2026
How autonomous agents actually work: the ReAct loop, memory architectures, real production examples with sourced numbers, current API pricing, and the failure modes you'll hit before the demo becomes a product.
AutomationLLMsFuture Tech10 mins read - 04
Generative AI Explained: A Beginner's Guide with Real Numbers
What generative AI is, how it actually works, which tools matter in 2026, and how much money and compute have gone into the field — with sources for every claim.
Machine LearningBeginnerTechnologyChatGPT8 mins read