In recognition of Sheikh Khalifa’s contribution to advancing science and technology, UAE President endorses launch of K2 Think, world’s most advanced open-source reasoning model - wam.ae
The UAE President has endorsed the launch of K2 Think, which is described as the world’s most advanced open-source reasoning model. This launch recognizes Sheikh Khalifa’s contributions to advancing science and technology within the UAE. The announcement signifies a major national initiative in the field of artificial intelligence development. Why it matters: This positions the UAE at the forefront of open-source AI innovation and advanced reasoning capabilities, potentially setting new benchmarks for global AI development.
MBZUAI, G42, and Cerebras Systems have launched K2 Think V2, a 70-billion parameter reasoning system built on the K2-V2 base model. K2 Think V2 is fully open-source, from pre-training data to post-training alignment, ensuring transparency and reproducibility. It achieves leading results on complex reasoning benchmarks like AIME2025 and GPQA-Diamond. Why it matters: This release marks a significant advancement in the UAE's AI capabilities, demonstrating leadership in building globally accessible and fully sovereign AI systems focused on reasoning.
MBZUAI and G42 have launched K2 Think, an open-source AI system for advanced reasoning with 32 billion parameters. It outperforms reasoning models 20 times larger, employing techniques like long chain-of-thought fine-tuning and reinforcement learning. K2 Think will be available on Cerebras' platform, achieving 2,000 tokens per second, and ranks highly in math performance. Why it matters: This launch positions the UAE as a leader in AI innovation through public-private partnerships and open-source contributions, demonstrating that efficient AI design can rival larger models.
MBZUAI's Institute of Foundation Models (IFM) has released K2 Think V2, a 70 billion parameter open-source general reasoning model built on K2 V2 Instruct. The model excels in complex reasoning benchmarks like AIME2025 and GPQA-Diamond, and features a low hallucination rate with long context reasoning capabilities. K2 Think V2 is fully sovereign and open, from pre-training through post-training, using IFM-curated data and a Guru dataset. Why it matters: This release contributes to closing the gap between community-owned reproducible AI and proprietary models, particularly in reasoning and long-context understanding for Arabic NLP tasks.
MBZUAI's Institute of Foundation Models has released K2, a 70-billion-parameter, reasoning-centric foundation model. K2 is designed to be fully inspectable, with open weights, training code, data composition, mid-training checkpoints, and evaluation harnesses. K2 outperforms Qwen2.5-72B and approaches the performance of Qwen3-235B. Why it matters: This release promotes transparency and reproducibility in AI development, providing researchers with the resources needed to study, adapt, and build upon a strong foundation model.