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Weibo researchers claim 3B-parameter model matches larger AI systems on demanding math benchmarks

Weibo researchers claim 3B-parameter model matches larger AI systems on demanding math benchmarks Image: Primary
Researchers at Sina Weibo posted a technical report describing VibeThinker-3B, a language model with 3 billion parameters. The model scored 94.3 on the AIME 2026 math competition, comparable to much larger systems such as DeepSeek V3.2. A test-time scaling technique raised the score to 97.1. The paper drew rapid attention on Hugging Face and GitHub but also skepticism on social media regarding benchmark reliability.
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Profound raises $180 million at $1.8 billion valuation

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Sysdig details rapid Marimo exploit path to AWS-backed SSH access

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