Less is More: Recursive Reasoning with Tiny Networks Hierarchical Reasoning Model (HRM) is a novel approach using two small neural networks recursing at different frequencies. This biologically inspired method beats Large Language models (LLMs) on hard ...

This article introduces a Tiny Recursive Model (TRM) with only 7M parameters that outperforms many large LLMs on reasoning benchmarks like ARC-AGI, achieving 45% accuracy on ARC-AGI-1 and 8% on ARC-AGI-2.
#AIResearch #EfficientAI #RecursiveReasoning
arxiv.org/abs/2510.04871

Less is More: Recursive Reasoning with Tiny Networks introduces a Tiny Recursive Model (TRM) with only 7M parameters that outperforms many large LLMs on reasoning benchmarks like ARC-AGI, achieving 45% accuracy on ARC-AGI-1 and 8% on ARC-AGI-2 — higher than Gemini […]

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#agi #deepmind #autonomousreasoning #selfprompting #recursivethinking… | Aakash Khadikar 🧠 Can an AI Agent Learn to Prompt, Critique, and Evolve Itself? Built an experimental AI agent that: 🔸 Generates its own prompts without human intervention 🔸 Critiques and refines its own outputs rec...

Built a self-prompting, self-critiquing AI agent.

It planned a fully sustainable urban garden — then improved its own plan without being
www.linkedin.com/posts/aakash...

Recursive reasoning + chain-of-thought = early glimpses of AGI?

#AGI #RecursiveReasoning #SelfPrompting #AIresearch