SUSTAINABLE AI

Samsung AI Unveils TRM: A Small, Open Model That Beats Giants 10,000X Its Size

A new paradigm in AI research is emerging, where efficiency, not enormity, may define the next great leap in machine intelligence

In the ever-escalating arms race of artificial intelligence, where trillion-parameter models dominate headlines and GPU farms devour megawatts of power, a quiet revolution has begun. This week, Samsung AI researcher Alexandre Jolicoeur-Martineau unveiled TRM (Tree-of-Reasons Model) — a new open reasoning architecture that defies expectations.

Despite being 10,000 times smaller than leading large language models (LLMs), TRM reportedly outperforms them on specific structured reasoning tasks, such as Sudoku, mazes, and puzzles from the ARC-AGI benchmark.

The breakthrough, detailed in a paper published on arXiv.org, underscores a powerful shift in AI philosophy: intelligence may not scale linearly with size. In other words, “less” might indeed be “more”, at least when the problem is reasoning, not raw text prediction.

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