Technology Innovation Institute (TII) in the UAE has launched Falcon 180B, an open access large language model with 180 billion parameters trained on 3.5 trillion tokens. Falcon 180B ranks first on the Hugging Face Leaderboard for pretrained LLMs, outperforming Meta's LLaMA 2 and nearing the performance of OpenAI's GPT-4 and Google's PaLM 2. The model is available for research and commercial use under the 'Falcon 180B TII License', based upon Apache 2.0. Why it matters: This release strengthens the UAE's position in AI development and promotes open access to advanced AI technology, fostering innovation and collaboration.
UAE President Sheikh Mohamed bin Zayed Al Nahyan met with OpenAI CEO Sam Altman to discuss cooperation in advanced technology, particularly AI. The meeting focused on leveraging AI to accelerate development and benefit humanity. This high-level discussion underscores the UAE's strategic commitment to becoming a global leader in AI innovation. Why it matters: This direct engagement between the head of state and a leading AI figure signals the UAE's intent to forge top-tier partnerships and influence the future direction of AI development on a national and global scale.
Sam Altman, CEO of OpenAI, met with UAE President Sheikh Mohamed bin Zayed Al Nahyan in the United Arab Emirates. The high-level meeting focused on strategies to boost AI research and development within the region. This interaction signifies a diplomatic effort to foster international collaboration in advanced technological fields. Why it matters: This meeting underscores the UAE's proactive approach to positioning itself as a global AI leader by engaging with top international AI organizations and leaders.
President Sheikh Mohamed bin Zayed Al Nahyan of the UAE received Sam Altman, the CEO of OpenAI. The high-level meeting likely focused on strategic discussions regarding artificial intelligence development and collaboration. This engagement highlights the UAE's proactive approach to integrating advanced AI technologies into its national agenda. Why it matters: Interactions between national leaders and prominent AI industry figures often signal future policy directions, potential investments, and significant technological partnerships for the region.
UAE President Sheikh Mohamed met with OpenAI CEO Sam Altman to discuss artificial intelligence advancements. During the meeting, President Sheikh Mohamed was awarded an honorary doctorate for his leadership in AI. The engagement highlights strategic discussions between a major AI company and a prominent regional leader. Why it matters: This high-level interaction underscores the UAE's commitment to becoming a global hub for AI and its proactive approach to fostering partnerships with leading technology firms.
UAE President Sheikh Mohamed bin Zayed Al Nahyan met with OpenAI CEO Sam Altman to discuss opportunities for collaboration in artificial intelligence. They explored the potential of AI to support the UAE's growth across various sectors. The meeting also covered the importance of AI safety and regulation. Why it matters: This high-level engagement indicates the UAE's commitment to being a leader in AI adoption and development, while also highlighting the need for responsible AI governance.
MBZUAI awarded OpenAI CEO Sam Altman an honorary doctorate in recognition of his leadership in AI. The ceremony was attended by UAE dignitaries and university leadership, who emphasized Altman's impact on making AI accessible globally. Altman expressed his honor and commended MBZUAI's commitment to AI research and education. Why it matters: This award recognizes the growing importance of AI and the UAE's ambition to be a leader in the field, highlighting the alignment between global AI innovators and the nation's vision.
MBZUAI President Eric Xing led a global collaboration to develop Vicuna, an LLM alternative to GPT-3 addressing the unsustainable costs of training LLMs. OpenAI CEO Sam Altman acknowledged Abu Dhabi's role in the global AI conversation, building off of achievements like Vicuna. Xing and colleagues are publishing research at MLSys 2023 on "cross-mesh resharding" to improve computer communication in deep learning, aiming for low-carbon, affordable, and miniaturized AI. Why it matters: This research signals a push towards sustainable AI development in the region, emphasizing efficiency and reduced environmental impact.