OpenAI is racing to solve an infrastructure problem 👀
Agents on $VIRTUAL and most large language models (LLMs) share the same structural constraints, and $TRUST already built the foundation to address them.
1. Most LLMs hallucinate information that sounds convincing but lacks verification.
2. They operate without persistent memory, forcing conversations to restart without learned context.
3. They cannot truly recall training data to provide grounded answers, only generate statistically probable ones.
These are not model limitations. They are data structure limitations.
Knowledge graphs solve this by creating a traversable web of verifiable relationships, allowing systems to return grounded answers instead of probabilistic guesses.
The shift is already happening. OpenAI recently published a cookbook outlining how temporal AI agents can be built using knowledge graphs, and ecosystems across AI are moving in the same direction.
Yet most implementations remain closed data silos, where verification is private and infrastructure is centralized.
Intuition takes it further by building a public, decentralized knowledge graph where data is open, attestations are transparent, and truth is anchored in community consensus rather than corporate custody.
The agentic future requires verifiable memory, structured reputation, and open infrastructure.
That is what Intuition is building with $TRUST