https://bit.ly/4v97l37

Core Stability Phase using GPU Reinforcement Learning

Our development has made clear and meaningful progress in the strength of the system’s internal understanding, the stability of its learning process, the reliability of its infrastructure, and the quality of its monitoring and diagnostics. The foundation is much stronger than before, and the system is now better at processing information, improving consistently, saving and reloading its state, and showing us what is happening in real time. At the same time, the outward decision behavior is still more limited than the rest of the system, so the current stage is best described as strong backend progress with a remaining bottleneck in practical execution.