Retrieval can provide the right data. It can’t ensure it’s used correctly. AI failures aren’t just about data - they’re about behavior.
AI fails at scale when reliability depends on human verification. Why behavior, not intelligence, limits adoption in high-value industries.
Unexpected AI behavior isn’t random - it emerges during generation. A look at why patterns spread and why control must happen in real time.
Research shows LLMs often contain correct answers internally but fail to express them, revealing a gap between knowledge and behavior.
Hallucinations are improving in simple cases, but persist in complex ones—often as subtle inconsistencies rather than obvious errors.