2025-10-09
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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After more than a month of rumors and feverish speculation — including Polymarket wagering on the release date — Google today unveiled Gemini 3, its newest proprietary frontier model family and th [...]
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In the ARC-AGI-2 benchmark, which is designed to measure a language model's general reasoning skills, GPT-5 (High) scored 9.9 percent at a cost of $0.73 per task, according to ARC Prize.<br /& [...]
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Google's Gemini 3 Flash model outperforms GPT-5.2 in some benchmarks
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