AI Dev 26 x SF | Andrew K. Davies: Deterministic Memory: How to Build an AI That Cannot Lie

DeepLearningAI · Intermediate ·🧠 Large Language Models ·2h ago
What if your AI's memory was mathematically verifiable? What if every retrieval was provenance-backed, every result bit-exact and cryptographically reproducible? OnMemory.ai introduces deterministic semantic memory built on E8 lattice quantization, replacing probabilistic vector search with a multi-lane retrieval engine where every answer can be traced to its source. In this session, Andrew K. Davies demonstrated how deterministic memory transforms AI from systems that approximate recall into systems you can trust — because an AI that remembers with mathematical precision is an AI that cannot lie.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →