Practical field guide for working with — not underneath — AI. Sovereign thinking tools, safety protocols, and real collaboration skills.
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Updated
Mar 21, 2026
Practical field guide for working with — not underneath — AI. Sovereign thinking tools, safety protocols, and real collaboration skills.
Human-approval. Hardware-enforced AI safety. Physical AI intervention. Humanoid robot safety. Fail-safe AI. Human approval enforcement. Invariant condition. Quantum-resistant AI. Swarm robot safety. AI safety compliance.Physical AI safety, AI-to-actuator, execution path blocking
Safety layer for VLA models and humanoid robots. Sub-ms physics guard, ISO-aligned, zero neural nets.
Deterministic physics safety for embodied AI — beyond statistical safety guards.
A deterministic safety layer for probabilistic AI systems — preventing delusion reinforcement and AI-induced psychological harm through immutable governance
Documented human–AI narrative escalation case study (Taller Shell trilogy) with deterministic governance lessons
Public hub for Richard Porter’s free work on safe, sovereign human-AI collaboration. Everything here is voluntary and requires no technical skill.
Real-time deterministic safety for robotics — sub-millisecond physics judgment at the edge.
ISO 10218 and ISO/TS 15066 safety standards explained, with deterministic physics safety validation.
Safety layer for Vision-Language-Action models. Physics guard that catches what VLA misses.
500+ labeled VLA safety scenarios across 7 risk levels — benchmark dataset for safety evaluation.
Public safety scorecard and binary architectural tests for high-gain AI features (e.g. adult mode). Pre-launch criteria + AI model responses
Complete guide to robot safety standards: ISO 10218, ISO/TS 15066, IEC 61508, ISO 13849, ANSI R15.06.
Deterministic Newtonian safety engine for robotics — force, speed, contact area, all computed.
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