We Are Confusing Two Types of AGI
The article separates artificial general intelligence into two categories: "soft AGI," a product‑oriented system that mimics general learning well enough to replace knowledge workers, and "hard AGI," a true human‑level learning machine pursued by academia. The author argues that most business discussions focus on soft AGI because companies care about cutting the roughly $50 trillion annual payroll for knowledge workers. He predicts commercial soft‑AGI solutions will appear by 2026‑27, operating like human employees but at a fraction of the cost. The piece warns that conflating the two concepts clouds policy and investment decisions.
AI Unmasked Our Work as Scaffolding
AI is exposing that most knowledge work consists of repetitive scaffolding rather than original insight. In fields like cybersecurity, software development, and high‑end consulting, 75‑99% of effort goes into maintaining tools, workflows, and templates. Recent AI agent‑skill advances can capture...
Why I Believe in SOTA Models over Custom Ones
AI thought leader Daniel Miessler argues that enterprises should favor state‑of‑the‑art (SOTA) models rather than building custom, narrowly‑focused models. He notes that even seemingly specialized tasks—email labeling, report writing, security event analysis—draw on broad contextual knowledge, which large general models...