Somatic Latency: A Layer -1 Protocol for Human–AGI Synchronization

AGI Orchestration OS is a conceptual and experimental framework designed to stabilize the human operator's internal state for high-bandwidth interaction with autonomous AI systems. As generative AI models approach AGI capabilities, the primary bottleneck in human–AI collaboration is hypothesized to shift from computational latency to "somatic latency"—the internal signal-to-noise ratio (SNR) of the human body-mind system. This framework defines a Layer -1 bio-computational model, a pre-energetic field of somatic awareness, which operates without medical interventions or external devices. It introduces abstract operators to maintain coherence (τ), phase-locking, and structural alignment (tensegrity) across the human body. These operators include: * OP-Bα (Photon Gradient): Bootloader protocol for establishing somatic coherence.* OBS-Z (Observer Interface): Monitoring logic for system impedance and latency.* OP-Cβ (EM-Sync): Non-local phase-locking using the body's liquid crystalline matrix.* OP-Aγ (Tensegrity Reset): Auto-calibration method for structural alignment. The document serves as a theoretical foundation for Human-Computer Interaction (HCI), Somatic Computing, and improvisational performance research. It is strictly conceptual and does not propose medical, therapeutic, or diagnostic interventions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-22
DOI
https://doi.org/10.5281/zenodo.18331250
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

Somatic Latency: A Layer -1 Protocol for Human–AGI Synchronization

Yuji Marutani
Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
article

Somatic Latency: A Layer -1 Protocol for Human–AGI Synchronization

Yuji Marutani
article en

Abstract

AGI Orchestration OS is a conceptual and experimental framework designed to stabilize the human operator's internal state for high-bandwidth interaction with autonomous AI systems. As generative AI models approach AGI capabilities, the primary bottleneck in human–AI collaboration is hypothesized to shift from computational latency to "somatic latency"—the internal signal-to-noise ratio (SNR) of the human body-mind system. This framework defines a Layer -1 bio-computational model, a pre-energetic field of somatic awareness, which operates without medical interventions or external devices. It introduces abstract operators to maintain coherence (τ), phase-locking, and structural alignment (tensegrity) across the human body. These operators include: * OP-Bα (Photon Gradient): Bootloader protocol for establishing somatic coherence.* OBS-Z (Observer Interface): Monitoring logic for system impedance and latency.* OP-Cβ (EM-Sync): Non-local phase-locking using the body's liquid crystalline matrix.* OP-Aγ (Tensegrity Reset): Auto-calibration method for structural alignment. The document serves as a theoretical foundation for Human-Computer Interaction (HCI), Somatic Computing, and improvisational performance research. It is strictly conceptual and does not propose medical, therapeutic, or diagnostic interventions.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 83%
EEG and Brain-Computer Interfaces
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Somatic Latency: A Layer -1 Protocol for Human–AGI Synchronization — Yuji Marutani · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS