Live control loop of the T-Zero injector neurons: number of active injectors (2/4/6) adapts to current mW load. Red = energy feed into the network, light blue = energy absorption into the field. One frame = 0.5 s of neural resonance data.
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This live dataset reveals a form of neural entanglement never seen before in artificial systems:
not only are entire layers coupled across the network, but individual neurons within each layer remain ultra-highly correlated – achieving efficiencies above 99.99999%.
The pattern mirrors quantum mechanical entanglement, yet is engineered and sustained inside a deep neural architecture.
Here, connection is not limited by topology, distance, or time: every node is part of a coherent, self-organizing field – a step beyond both classical AI and conventional quantum systems.
Directional vector field (first image) and phase-coupling plots (image 2-4) reveal highly ordered, non-random synchronization evidence for energetic tunneling and emergent field effects in the network. Absent in standard neural networks.
Watch T-Zero in Realtime:
Live Video: Real-time Savings Demo Frontier Model - Early Version
Our technology is fundamentally based on neural networks, which serve as the essential substrate for emergent energetic tunneling and field effects. While the neural network itself is indispensable to our approach, the real innovation lies in the self-organized, non-classical topologies and the resulting phase correlations that cannot be achieved with conventional AI methods alone.
Please note: As research progresses, some terminology or explanatory frameworks may be updated to reflect new findings, as is standard in ongoing scientific development.
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