Learning Lab LIVE! UNIT 13 Session #2 — Intro to Denis O. and Alpha Omega FoB HMC

🔴 Join Us LIVE on Tuesday, November 25th at 2:30 pm  PT / 5:30 pm ET — Learning Lab LIVE Session #2: UNIT 13 — Intro to Denis O. and ΑΩ FoB HMC (Alpha Omega: Field of Belief with Hamiltonian Monte Carlo)

As many of you know, every month brings a new educational presentation with two opportunities to catch it LIVE. This is the final opportunity to see this month’s presentation featuring Denis O.

➡️ As the world moves beyond statistical AI toward physically grounded intelligence, a new question arises:
How can intelligent agents maintain perfect coherence while adapting instantly to change without retraining, servers, or data transfer?

🔸 Join us for this month’s Learning Lab LIVE to explore Denis O.’s groundbreaking ΑΩ FoB HMC architecture, a new foundation for distributed, physics-based cognition that represents the next evolution for Active Inference implementations – multi-agent belief propagation.

This session will unpack how ΑΩ FoB HMC allows autonomous agents to learn, adapt, and act as individual autonomous agents while simultaneously behaving as one coherent system, marking a fundamental leap in multi-agent reasoning and real-time adaptability.

✅ What You’ll Learn

◾ΑΩ FoB HMC Explained: How the Field of Belief and Hamiltonian Monte Carlo dynamics conserve informational energy, making cognition a physically lawful process.

◾ Cloneable Agents: How an agent’s entire field of belief can be hashed as a single 512-bit curvature fingerprint — instantly recreated anywhere, with no loss of memory or coherence.

◾ Multi-Agent Coherence: Why ΑΩ FoB HMC agents act as one unified system without central servers or message passing.

◾ Adaptive Learning: How curvature-locked geometry enables agents to adjust to new data in real time while maintaining global stability.

◾ Immutable Identity & Verification: How every agent carries a mathematically verifiable field signature, enabling provable authenticity across distributed systems.

◾ Real-World Applications: From autonomous fleets and self-healing infrastructure to trustless digital twins and planetary-scale intelligence.