Researchers in Singapore have unveiled a Hierarchical Reasoning Model (HRM) designed to simulate the human brain’s logical structure. Early results show it outperforms ChatGPT and similar large language models in reasoning-based tasks. Unlike traditional AI that relies on large datasets, HRM focuses on layered decision-making processes. This breakthrough could improve applications in law, healthcare, and education by providing more accurate reasoning. However, experts warn that increased sophistication may also make AI harder to regulate and interpret. The question remains: will such brain-like AI surpass human problem-solving, or will ethical and technical barriers limit its potential?
Researchers in Singapore have unveiled a Hierarchical Reasoning Model (HRM) designed to simulate the human brain’s logical structure. Early results show it outperforms ChatGPT and similar large language models in reasoning-based tasks. Unlike traditional AI that relies on large datasets, HRM focuses on layered decision-making processes. This breakthrough could improve applications in law, healthcare, and education by providing more accurate reasoning. However, experts warn that increased sophistication may also make AI harder to regulate and interpret. The question remains: will such brain-like AI surpass human problem-solving, or will ethical and technical barriers limit its potential?