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

🔴 Join Us LIVE on Tuesday, November 18 at 11 AM PT / 2 PM ET — Learning Lab LIVE: UNIT 13 — Intro to Denis O. and Alpha Omega FoB HMC (Field of Belief, Hamiltonian Monte Carlo)

➡️ 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 Alpha Omega 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 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

◾ 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 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.

Join Zoom Meeting
https://us06web.zoom.us/j/83096480370?pwd=LGyXDpflYDYf70XRdvaEmpq8Nbzxab.1

Meeting ID: 830 9648 0370
Passcode: 1234