Part 14/16:
The emergence of Hermes 4 and RLM signals a new era where large-scale, transparent, and adaptable models drive progress across diverse domains. Hermes 4 demonstrates that open-source frameworks can rival proprietary giants in reasoning, curiosity, and safety—while maintaining community transparency and modifiability. Its sophisticated training pipeline and robust architecture provide a blueprint for future open efforts.
Meanwhile, RLM exemplifies how transforming complex, high-dimensional system behavior into textual descriptions unlocks powerful predictive potential, reducing reliance on manual feature engineering and enabling rapid adaptation. Its success indicates that AI can serve as a universal system simulator, applicable from data centers to scientific research.