Hey everyone,
I’m currently testing a working prototype under Project Resonance — a framework for developing systems of compounding intelligence.
Instead of treating models as static responders, this architecture links multiple reasoning agents and feedback layers, allowing insights to propagate, evolve, and refine future outputs.
Our prototype demonstrates:
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Multi-agent reinforcement loops with adaptive reasoning -
Scalable, privacy-first deployment on Google Cloud AI -
Integration pathways for Gemini APIs and long-context orchestration -
Early results showing recursive coherence and cross-agent learning
The next stage focuses on context retention, energy-efficient scaling, and distributed cognition across multiple Gemini instances.
Would love to connect with anyone exploring:
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Multi-agent reasoning and orchestration on Gemini
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Recursive learning architectures
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Persistent AI memory or context compression techniques
— C. W. Fulmark
Founder, Quantum Capital Holdings LLC
Prototyping the next layer of evolving intelligence.
