Context Graphs, World Models, and Free Will: A Human-Centered Look at AI’s Next Frontier
What does “context” actually mean—and why does it matter so much for the future of AI?
Join us for a wide-ranging, no-BS conversation with cognitive scientist and AI researcher Vicky Froyen along with TrustGraph Co-Founder Daniel Davis as we dig into context graphs, world models, and the hidden assumptions shaping today’s AI systems.
We’ll trace where context graphs really come from—long before LLMs and hype—rooted in data governance, cognitive science, and psychology. From there, we’ll connect the dots to today’s debates around context windows, RAG, knowledge graphs, and why the industry is quietly circling back to neuro-symbolic approaches. If you’ve ever felt that fluent language ≠ real understanding, this session is for you.
But this isn’t just a technical discussion. We go human.
We explore how world models are personal, why no two people perceive the same reality, what inner monologues and multilingual thinking reveal about representation, and how phenomena like perfect pitch and musical savants expose radically different cognitive wiring. These ideas turn out to matter a lot when we try to “ground” AI in shared structure instead of vibes.
We’ll also tackle the uncomfortable questions most talks avoid:
Why do we keep modeling AI after humans when humans are the weakest link in autonomous systems?
What happens when most knowledge flows through a handful of AI interfaces?
Are we underestimating both the complexity of the brain—and the risks of overly “friendly” language models?
This event is for builders, researchers, and product leaders who care about more than next week’s demo—and want to think seriously about how context graphs, knowledge graphs, and world models shape the AI we’re unleashing into the world.
Come curious. Leave with a sharper mental model—and probably a few unsettled assumptions.
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