Addressing Misinformatio in Large Learning Models: AVRM

This protocol introduces a training architecture that elevates Large Language Models (LLMs) from reactive knowledge generators to reflective, behaviorally adaptive systems. " "Anchored in the AVRM Framework and the Behavior-as-Product Schema, this model redefines how LLMs “understand” human behavior. " "It transitions from mechanistic “how to” steps to meaning-based schema mapping, allowing AI to contextualize action, challenge default assumptions, and guide users toward more sustainable, evidence-based outcomes."

Key Aspects of the Stream:

**Continuous Data Flow:** Defining and verifying ongoing data streams.
**Real-time Interaction:** Capturing and attesting live digital interactions.
**Usage Rights Management:** Ensuring verifiable rights for streamed content.
**Bandwidth and Latency Attributes:** Including metadata related to streaming quality.
**Interoperability:** How 'stream' behaviors integrate across platforms and protocols.