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We argue that many deployed language-model-driven systems are better described as elastic automation than as artificial minds. Traditional automation was rigid by design: rules fired when conditions were met, scripts followed predefined branches, and workflows moved only inside the shapes their designers had imagined.
We did not create artificial minds. We made automation flexible enough to look conversational.
A manifesto on friction, flow, and a grammar built for intelligence.
If the truth needs an adjective, the truth is not clear enough. A personal letter on doubt, discipline, and the quiet.
A Tufts team compared a vision-language-action robot model with a neuro-symbolic architecture on a Tower of Hanoi benchmark. The neuro-symbolic system solved 95 of every 100 puzzles to the VLA's 34, on roughly one percent of the training energy. The model didn't get bigger. It got more legible.
You and AI, unified — younndai.com
The architecture of the YON Standard
Semantic Hub for Intelligent Notation
Natural language to YON compiler & transformer
shin.younndai.com
Zero-trust Execution Node
Secure runtime environment for YON execution
zen.younndai.com
Knowledge Evidence Nexus
Observability platform for AI agent debugging
ken.younndai.comOne vision, many forms
