UAE’s MBZUAI and G24 released K2 Think, an open-source reasoning model with only 32 billion parameters that in trials rivals ...

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Google Research has developed a new method that could make running large language models cheaper and faster. Here's what it ...

Recently, researchers introduced a new method called 'speculative cascading,' which significantly improves the inference efficiency and computational cost of large language models (LLMs) by combining ...

On benchmark evaluations, K2 Think leads all other open-source models in competitive math performance. It scored 90.8 on AIME 2024, 81.2 on AIME 2025, and 73.8 on HMMT 2025, according to benchmarks ...

With exaflop-scale compute, massive memory, and faster attention mechanisms, the technology unlocks long-context reasoning ...

NVIDIA launched Rubin CPX, a GPU designed for long-context AI tasks, such as million-token coding and video processing.

Nvidia has unveiled the Rubin CPX GPU, built for video creation and software generation set to arrive in 2026.

Google Research introduces 'speculative cascades,' a new hybrid AI technique to make LLM inference faster, cheaper, and more ...

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This is largely due to the fact that current LLMs often struggle with complex code, multi-step logic, and abstract tasks, frequently exhibiting logical leaps, disorganized steps, and irrelevant ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...