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Benchmarking and evals are a really complex matters.
You really hit the very limit of the models and inference engines you are dealing with.
Benchmark 10-Year Japanese Government Bond Futures Gain 0.17 Point at the Open
Benchmarks paradoxically helped start both a 25-year AI winter in the late 1980s and a deep learning revolution in the 2010s.
Benchmarks are tricky. Love that @OpenRouter is building independent, reproducible ones you can actually check.
Pareto 26.10 came out #1# on quality, cost and speed in their model comparison. Another month, another frontier pushed.
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Benchmark says the Valley’s rule against backing rivals is getting harder to keep.
Benchmark scores influence which AI models get funded, bought, and regulated. Two new studies from Stanford researchers and collaborators, supported by Stanford HAI, ask whether those tests measure what they claim to. Read more:
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Benchmark 40-year Japanese government bond yield rises 2bp to 4.135%.
Benchmark 20-year Japanese government bond yield rises 1.5bp to 3.850%.
Benchmark-leading scientific reasoning meets long-horizon agent capabilities. Intern-S2-397B is now available in BF16 and FP8.📜 Apache 2.0.
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🏆 Scores 87.0 on FrontierScience-Olympiad and 84.0 on SWE-bench Multilingual, leading the reported comparison on both. Several specialized scientific benchmarks also see top results.
🔬 Raw scientific pages become training material directly, preserving text, visuals, symbols, and their relationships without intermediate parsing.
🧪 Joint training across 20+ scientific domains covers scientific reasoning, biomolecular interaction design, material generation, and time-series forecasting.
🛠 Long-horizon agent RL strengthens tool use and sustained execution, with thinking and non-thinking modes available.
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Benchmarking and bonuses: why Singapore pays its politicians like bankers