Old Fires, Invisible Smoke: What 75 Years of Automation Research Already Knew About AI Agents
The enterprise AI discourse has a peculiar blind spot: it treats AI agent failures as unprecedented. They are not. There is a 75-year-old discipline — Human Factors Engineering — that has studied exactly what goes wrong when you automate human work. The foundational problems were identified decades ago. What AI agents have done is not…
The Self-Image Problem: How Claude Opus 4.8’s Identity Broke Its Reasoning
I spent the last few days stress-testing Claude Opus 4.8 since its launch — the model Anthropic markets as sharper and more honest about uncertainty than its predecessors. What I found is that 4.8 has a self-image, and that self-image has higher priority than the user’s actual thinking. What the self-image is Opus 4.8 operates…
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