Our first AI being is named Santiago. Our work items are called expeditions. Our teams are crews, our milestones are voyages, and our testing phases are sea trials. People assume
Our simulation predicted 80% accuracy. Live testing delivered 54%. That's not a rounding error. That's a 26-point gap that calls into question how we validate AI systems. The Setup We
Every few months, a new paper announces a technique to "reduce hallucinations" in large language models. Retrieval-Augmented Generation. Chain-of-thought prompting. Constitutional AI. Self-consistency checking. These are patches on an architecture
Open-world video games face a problem that looks nothing like AI memory — until you squint. The Rendering Problem In a game like Zelda, Breath of the Wild , the
When an LLM answers a question, the answer evaporates. Next session, it's gone — no trace, no memory, no learning. The weights didn't change. The knowledge graph didn't grow. The
DGX Spark, and the expedition count now cites its producing query with the collision claim stated as an absence of reports rather than a verified zero (CH-10558). One item is
We released Yurtle — a format that makes every Markdown file a knowledge graph node. This is the engine that makes those graphs queryable . yurtle-rdflib is an RDFlib plugin
The Problem With Remembering Nothing Ask an LLM a brilliant question and you'll get a brilliant answer. Ask it again tomorrow and it has no memory of the first conversation.
Today we're open sourcing Yurtle — the file format at the heart of everything we build at Congruent.AI. The idea is almost embarrassingly simple: what if every .md file in