Hierarchical Reasoning Model Challenges LLM
  Recent advances in artificial intelligence have seen the development of a new brain-inspired AI model called the Hierarchical Reasoning Model (HRM). Created by researchers at Sapient in Singapore, HRM challenges the conventional large language model (LLM) architecture used by AI giants like OpenAI and Anthropic. Despite its small size and limited training data, HRM has demonstrated superior performance on some of the most demanding tests for artificial general intelligence (AGI). Innovative Design Inspired by Human Brain HRM’s architecture mimics the human brain’s layered processing. It consists of two interconnected modules – a high-level module for slow, abstract planning and a low-level module for fast, detailed computations. This dual-module design contrasts with traditional LLMs that rely on chain-of-thought (CoT) reasoning, where problems are broken down sequentially. HRM instead uses iterative refinement, improving solutions progressively through repeated short bursts of “...
.jpg) 
.png) 
 
.png)