According to JeffDean, in collaboration with DemisHassabis and James Manyika, Google DeepMind, Google Research, and Google released a comprehensive year-end summary highlighting significant AI research advances across eight major areas for 2025. The report covers progress in large language models, AI for scientific discovery, responsible AI, generative models, robotics, and more, emphasizing the real-world impact and commercialization opportunities of these technologies. For example, advancements in generative AI and robotics open new business models for automation and creative industries, while responsible AI frameworks increase enterprise adoption and trust. The summary demonstrates Google's leadership in translating cutting-edge research into scalable, market-ready AI solutions (source: JeffDean on Twitter, blog.google/technology/ai/2025-research-breakthroughs/).

According to @GoogleDeepMind, a comprehensive evaluation of 15 leading AI models showed Gemini 3 Pro achieving the highest score of 68.8%. The assessment highlighted that while search capabilities and internal knowledge have improved across models, the challenge of ensuring multimodal factuality persists industry-wide. Google DeepMind is sharing these benchmarking results on Kaggle to support the research community in developing more robust and reliable AI systems. This initiative aims to drive practical advancements in AI model reliability and accuracy for enterprise and research applications. (Source: @GoogleDeepMind, Dec 10, 2025, goo.gle/4aEUD4b)