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Tiny AI model outperforms o3‑mini and Gemini 2.5 Pro in ARC‑AGI benchmark
Tiny AI model outperforms o3‑mini and Gemini 2.5 Pro in ARC‑AGI benchmark

A new mini-model called TRM shows that recursive reasoning with tiny networks can outperform large language models on tasks like Sudoku and the ARC-AGI test - using only a fraction of the compute power.
The article Tiny AI model outperforms o3‑mini and Gemini 2.5 Pro in ARC‑AGI benchmark appeared first on THE DECODER.

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