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Architecture

Our brain-inspired architecture HRM powers deep, efficient reasoning through structured computation in latent space.

What Is Latent Space?

HRM

A Latent Space Hierarchical Recurrent Architecture

Understanding the brain is the first step toward human-like AI.

The brain consists of specialized regions, each contributing to distinct functions.

Language Processing

Language is processed in brain regions specialized for understanding and producing words.

Reasoning Processing

Reasoning takes place in brain regions responsible for analyzing logic, patterns, and relationships.

The Limits of LLMs

While language and reasoning should each operate in their own regions, LLMs operate both in the language space, making reasoning shallow and resource-intensive.

This confines thought to linguistic processing, even though human thinking and reasoning operate at a much deeper level beyond language space.

While language and reasoning should each operate in their own regions, LLMs force both into language space, making reasoning shallow and resource-intensive.

This confines thought to linguistic processing, even though human thinking and reasoning operate at a much deeper level beyond language space.

The HRM Approach

HRM addresses this limitation by separating reasoning from language. Inspired by the brain, it enables thinking to take place in a deeper, more abstract latent space, unconstrained by vocabulary or surface-level linguistic representations.

When needed, the resulting thoughts can be encoded into natural language. This enables deeper, more effective, and more efficient reasoning than today’s LLMs.

HRM addresses this limitation by separating reasoning from language. Inspired by the brain, it enables thinking to take place in a deeper, more abstract latent space, unconstrained by vocabulary or surface-level linguistic representations.

When needed, the resulting thoughts can be encoded into natural language. This enables deeper, more effective, and more efficient reasoning than today’s LLMs.

The HRM Architecture

Models

Model 1

HRM-Symbolic

A reasoning model designed for deep, efficient problem-solving through hierarchical modules, dual timescale computation, and latent space reasoning.

Model 2

HRM-Text

A text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.

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