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README.md

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 # contact: Twitter: https://x.com/BogUnusov Telegram: @Quloneco email: qulone.corpo@gmail.com
 
 🧠 Adaptive Reasoning Loop with Critic-Driven GMPo and Intuition Feedback
-LiberalMind v1.5 is trained using a custom reinforcement learning system that extends classical RLHF and diverges from standard GMPO (Generative Model Policy Optimization). Instead, it employs a reasoning-centered pipeline we call GMPo (Generate–Match–Plan–Optimize) augmented with a Critic Loop and a novel intuition-based meta-signal.
+Arctic AI is trained using a custom reinforcement learning system that extends classical RLHF and diverges from standard GMPO (Generative Model Policy Optimization). Instead, it employs a reasoning-centered pipeline we call GMPo (Generate–Match–Plan–Optimize) augmented with a Critic Loop and a novel intuition-based meta-signal.
 
 This design targets more explainable, structurally grounded reasoning via RL updates, optimized with KL-divergence regularization and guided feedback from a Critic module.