Neurosymbolic AI systems where every answer is traceable to its source, every decision is explainable, and every claim is provably grounded.
No hallucinations. No black boxes. Just knowledge, structured and searchable, all the way down.
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
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
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 world is
Crystallization: Teaching AI to Remember When an LLM answers a question, the answer evaporates. Next session, it's gone — no trace, no memory, no learning. The weights didn'
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