Steve Hargadon: Go Ahead and Watermark
The mark tells you a tool was used. It can’t tell you whether anyone was thinking. In August, Anthropic confirmed […]
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AI
AI, education, Featured, Revolutionary Psychology
An Introduction to My Thinking
In the spring of 2026 I asked six frontier language models the same carefully framed question. Independently, without knowledge of
AI, Featured, Revolutionary Psychology
Why Synthetic Data Training Is AI Drinking Its Own Kool-Aid
The frontier AI labs have a supply problem. They have already ingested most of the useful human-written text in existence,
AI, Featured
Introducing Human Truth-Seeking into LLMs
Large language models are fluent because they were trained on human narration. That fluency is both their greatest strength and
Passive Content Is Hard To Learn. Simulations Make Learning Easy
Overview: Simulation-based training is far more effective than passive learning methods like slide-heavy eLearning, videos, and webinars. Instead of encouraging
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Language Clarity on Intelligence, Consciousness, and Motivation
The New Machine We are arguing about AI with a vocabulary that wasn’t built for it. Is AI intelligent? Is
AI, education, Featured
Students Wrote a Coherent National Policy on AI
Students Wrote the Rules. Schools Still Write the Script. In late July, roughly a hundred high school students from across
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Steve Hargadon: AI: The Danger Is Human
Almost every popular argument about AI danger is aimed at a machine that does not exist — a machine with
AI, Featured
Why an LLM Defends Its Errors the Same Way We Do
Large language models are fluent, authoritative, and prone to hallucination. We treat these as separate phenomena — marveling at the
AI, Featured
Why an LLM Defends Its Errors the Same Way We Do
Large language models are fluent, authoritative, and prone to hallucination. We treat these as separate phenomena — marveling at the