Layers of thought: smarter reasoning with the Hierarchical Reasoning Model

Thu, 31 Jul 2025 09:20:54 +0100

🤝 Introduction

Forget everything you thought you knew about AI reasoning. What you’re about to discover isn’t just another scoring algorithm it’s Stephanie’s first true capacity for thought. Let’s peel back the layers of the HRM: Hierarchical Reasoning Model and see why this represents a quantum leap in how AI systems can genuinely reason rather than merely react.

The Shape of Thought: Exploring Embedding Strategies with Ollama, HF, and H-Net

Sat, 19 Jul 2025 22:06:13 +0100

🔍 Summary

Stephanie, a self-improving system, is built on a powerful belief:

If an AI can evaluate its own understanding, it can reshape itself.

This principle fuels every part of her design from embedding to scoring to tuning.

At the heart of this system is a layered reasoning pipeline:

MRQ offers directional, reinforcement-style feedback.
EBT provides uncertainty-aware judgments and convergence guidance.
SVM delivers fast, efficient evaluations for grounded comparisons.

These models form Stephanie’s subconscious engine the part of her mind that runs beneath explicit thought, constantly shaping her understanding. But like any subconscious, its clarity depends on how raw experience is represented.

Epistemic Architecture on AIBussin — AI applications, systems and books

Layers of thought: smarter reasoning with the Hierarchical Reasoning Model

🤝 Introduction

The Shape of Thought: Exploring Embedding Strategies with Ollama, HF, and H-Net

🔍 Summary