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Dimitar Kretskileft a comment
AI works in simulation. Hardware doesn’t forgive mistakes."When we launched MicroSafe-RL, we had one goal: to create a deterministic “reflex” for artificial intelligence. In industries like robotic surgery, critical chemistry, and autonomous drones, the latency of software protections is often the difference between success and disaster.🛠️ The Tech Behind the ShieldMicroSafe-RL is not just...
MicroSafe-RLPrevent AI Failures in the Physical World in Microseconds
Proprietary Edge AI safety engine for Reinforcement Learning. Implements real-time Operational Stability Signatures to prevent hardware failure on microcontrollers (STM32/ESP32) - Kretski/MicroSafe-RL
MicroSafe-RLPrevent AI Failures in the Physical World in Microseconds
Dimitar Kretskileft a comment
MicroSafe-RL started from a simple but critical question: **What happens when AI makes a wrong decision in the physical world?** In software, errors are tolerable. In embedded systems — robotics, aerospace, industrial control — they can cause real damage. I wanted a solution that doesn’t rely on heavy models, cloud calls, or probabilistic guarantees. So I built a **deterministic safety layer**...
MicroSafe-RLPrevent AI Failures in the Physical World in Microseconds
