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.
MBZUAI researchers at the Institute of Foundation Models (IFM) investigated the role of reinforcement learning (RL) in improving reasoning abilities of language models. Their study found that RL acts as an 'elicitor' for reasoning in domains frequently encountered during pre-training (e.g., math, coding), while genuinely teaching new reasoning skills in underrepresented domains (e.g., logic, simulations). To support their analysis, they created a new dataset called GURU containing 92,000 examples across six domains. Why it matters: This research clarifies the impact of reinforcement learning on language model reasoning, paving the way for developing models with more generalizable reasoning abilities across diverse domains, an important direction for more capable AI systems.
MBZUAI's Institute of Foundation Models (IFM) has developed PAN, a novel interactive world model capable of long-horizon simulation. PAN uses a Generative Latent Prediction (GLP) architecture, coupling internal latent reasoning with generative supervision in the visual domain. The model evolves an internal latent state conditioned on history and natural language actions, then decodes that state into a video segment using a Causal Swin-DPM mechanism for smooth transitions. Why it matters: PAN represents a significant advancement in AI's ability to simulate and predict evolving environments, enabling more steerable and coherent long-term video generation and opening new possibilities for interactive AI systems.
MBZUAI has launched the Institute of Foundation Models (IFM) with a new Silicon Valley Lab in Sunnyvale, CA, joining existing facilities in Paris and Abu Dhabi. The launch event showcased PAN, a world model for simulating diverse realities with multimodal inputs. The IFM lab is also advancing K2-65B and JAIS AI systems. Why it matters: This expansion enhances MBZUAI's global presence and connects it with a critical AI ecosystem, supporting the UAE's economic diversification through advanced AI technologies.
MBZUAI's Institute of Foundation Models (IFM) has launched five new specialized language and multimodal models, including BiMediX, PALO, GLaMM, GeoChat, and MobiLLaMA. These models address real-world applications in healthcare, visual reasoning, multilingual capabilities, geospatial analysis, and mobile device efficiency. BiMediX is a bilingual medical LLM, while GLaMM generates natural language responses related to objects in an image at the pixel level. Why it matters: This launch demonstrates MBZUAI's commitment to advancing AI research and developing practical AI solutions for various industries, especially with a focus on Arabic language capabilities.
MBZUAI launched the Institute of Foundation Models, the MBZUAI Metaverse Center (MMC), and the MBZUAI Incubation and Entrepreneurship Center (MIEC) at GITEX 2023. The university also signed MoUs with Abu Dhabi Customs and the Department of Municipalities and Transport to collaborate on AI applications. MBZUAI faculty participated in panel discussions on generative AI and large language models, including the Jais Arabic LLM. Why it matters: These initiatives and partnerships signal MBZUAI's central role in advancing AI research, development, and adoption across key sectors in the UAE.
MBZUAI has launched the Institute of Foundation Models to advance generative AI research and development. The institute will focus on developing large-scale AI models adaptable to various applications, building on MBZUAI's existing work with models like Jais, Llama 2, and Vicuna. It will focus on multi-modal foundation models applicable to areas like healthcare, finance and environmental engineering. Why it matters: This initiative further solidifies the UAE's position as a leader in AI, particularly in the development and application of foundation models for diverse industries.