The Biggest AI Mistake Smart People Make
The mistake is not using AI; it is mistaking confidence for reliability.
Topic
AI & Trust
Public work on AI, factual reliability, and the systems that shape whether information can be trusted.
Difficult Problems
Research
The Objectivity Premium in Generative Retrieval: How Factual Copy Outranks Promotional Copy When AI Systems Choose What to Cite
Documents how generative engines prioritize factual structured data profiles over legacy promotional copy.
No One Can Own the Language of Medicine: The Legal and Economic Case for an Open, AI-native Standard
Proposes an open AI-native coding standard to reduce administrative complexity and billing errors.
The $812 Billion Illusion: Replacing PDF with Block-Semantic Trust Architectures
Examines costs of static PDFs and proposes block-semantic trust standards for verifiable electronic documents.
Automaticity: When Legal Systems Fire Without Thinking
Analyzes risk of automated legal actions in modern case-management systems.
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