A 27 M-parameter, brain-inspired architecture cracks ARC-AGI, Sudoku-Extreme, and Maze-Hard with just 1000 training examples and without pre-training SINGAPORE - July 21, 2025 (NEWMEDIAWIRE) - AGI ...
The tiny Hierarchical Reasoning Model mimics the brain’s structure to solve complex tasks in a single pass — no internet-scale pretraining, just smart design and strategic thinking. Image: ...
Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...
Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path. To overcome this brute-force ...
HRM-Text builds on Sapient’s earlier work. The original HRM model, open-sourced in July 2025, had just 27 million parameters and demonstrated strong performance on complex reasoning tasks with as few ...
What if the future of artificial intelligence wasn’t about building ever-larger models but instead about doing more with less? In a stunning upset, the 27-million-parameter Hierarchical Reasoning ...
The human brain is very good at solving complicated problems. One reason for that is that humans can break problems apart into manageable subtasks that are easy to solve one at a time. This allows us ...
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