HRM: Vast scaling of Large Language Model (LLM) integrated with smart brain-inspired Hierarchical Reasoning Model (HRM) architecture could be the beginning of AGI…

Be VERY careful what you wish for! It’s a detail, but mathematically provable safe AI forever is the requirement before you build it- or Homo sapiens will go the way of Homo neanderthalensis. Natural selection just happens.

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A team of researchers from Google DeepMind, OpenAI, and xAI have introduced a revolutionary new brain-inspired architecture called the Hierarchical Reasoning Model (HRM). Unlike today’s massive LLMs, HRM is a tiny 27-million-parameter system that achieves near-perfect accuracy on tasks like extreme Sudoku puzzles and complex mazes—benchmarks where frontier models score zero. In this video, we explore why HRM matters, how it challenges the “bigger is better” scaling paradigm, and what it reveals about the future of AI research. We’ll look at: Why HRM’s two-module design (a high-level “CEO” and a low-level “Worker”) is a breakthrough. How it combines the strengths of recurrent networks and transformers to overcome past limitations. Why NVIDIA and other leaders are now saying that smaller, modular AI systems may be the future. How this shift echoes the long-running debate between AI “scalers” and AI “designers.” This isn’t just about one new model, it’s about a pendulum swing in AI research, away from brute-force scaling and toward smarter, brain-inspired architectures. *************** Related links and sources:

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FOR EDUCATIONAL AND KNOWLEDGE SHARING PURPOSES ONLY. NOT-FOR-PROFIT. SEE COPYRIGHT DISCLAIMER.