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Author

Yoko Hasebe

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#reinforcement learning Open access Oct 2026

Autonomous Kill-Switch Architectures for Frontier AGI: Combining Quantum Entanglement Interlocks with Hardware-Level Circuit Breakers and Fiduciary Caremark Governance

Description / Abstract: Contemporary artificial general intelligence (AGI) safety frameworks rely predominantly on upper-layer software abstractions—reinforcement learning from human feedback (RLHF), constitutional prompt wrappers, and automated runtime guardrails. Because deep neural networks are uninterpretable non-l...

Yoko Hasebe · 0 citations
#artificial intelligence Open access Oct 2026

Thermodynamic Limits of Brute-Force AI Scaling and Hyperscaler Decoupling: The 500 MW NTT–Anthropic Osaka Data Center Bottleneck — Agentic Control-Plane Commoditization, 8-Year Grid Transmission Hysteresis, and Subtractive RTO P2.0 Photonic-Phononic Compute Architectures

On October 13–14, 2026, industrial disclosures revealed that NTT Data Group and U.S. artificial intelligence vendor Anthropic entered final-stage negotiations to construct a dedicated AI data center in southern Osaka Prefecture, Japan, featuring a construction cost of up to 1 trillion yen (~$6.3 billion, escalating to...

Yoko Hasebe · 0 citations

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