According to Google DeepMind, the company is strengthening its partnership with the UK government to advance AI progress in three strategic areas. The collaboration will provide the UK with priority access to DeepMind's AI for Science models, enabling faster scientific discovery and practical research applications (source: Google DeepMind, Twitter). In education, the partnership aims to co-create AI-powered tools designed to reduce teacher workloads, potentially increasing productivity and efficiency for schools across the country. In terms of AI safety and security, the initiative will focus on researching critical risks associated with artificial intelligence, with the goal of establishing best practices for responsible deployment and risk mitigation. These efforts are expected to accelerate innovation while addressing societal and ethical concerns, creating business opportunities for AI startups and technology providers focused on science, education, and AI governance (source: Google DeepMind, Twitter).

According to @godofprompt and @demishassabis, Google has introduced Gemini 3 Deep Think to Google AI Ultra subscribers via the Gemini App, integrating technologies that have won gold medals at the International Mathematical Olympiad (IMO) and International Collegiate Programming Contest (ICPC). This release leverages parallel thinking capabilities, enabling users to solve highly complex mathematics and science problems efficiently. For businesses, this advancement demonstrates Google's commitment to delivering specialized AI solutions, opening new opportunities in education technology, advanced research, and enterprise problem solving. Source: https://x.com/demishassabis/status/1996683917991334300 and https://twitter.com/godofprompt/status/1997783314497941954

According to Demis Hassabis on Twitter, the AI for Science team has made significant progress in materials research, highlighting the potential of artificial intelligence to accelerate materials discovery and innovation (source: x.com/demishassabis/status/1982031487558951232). This development demonstrates how AI technologies are transforming scientific research by enabling faster analysis, prediction, and simulation of new materials. Businesses in the AI industry can leverage these advancements to create new solutions for sectors such as pharmaceuticals, energy, and advanced manufacturing, where rapid materials innovation offers a competitive edge.

According to @demishassabis, the newly developed AI model 'Deep Loop Shaping' has been successfully used by LIGO and Caltech to improve the detection of gravitational waves from intermediate-mass black holes. Published in Science Magazine, this breakthrough demonstrates how advanced AI algorithms can process complex astrophysical signals, increasing detection sensitivity and reducing noise in real-time data streams. This AI-driven approach opens new commercial opportunities for AI in scientific instrumentation, high-precision signal analysis, and space research, highlighting the expanding business impact of AI in fundamental physics research (Source: @demishassabis, Science Magazine).

According to @GoogleDeepMind, the new Gemini 2.5 Pro preview has achieved a +24 LMArena Elo score over its predecessor, showing significant advancements in AI performance. The model leads in challenging coding benchmarks such as AIME and AIDER, as well as in science (GPQA) and reasoning (HLE) evaluations. Improvements in style and structure are attributed to user feedback, reflecting a focus on practical AI applications for developers and businesses. These upgrades position Gemini 2.5 Pro as a competitive solution for enterprises seeking state-of-the-art AI for complex technical and scientific tasks (source: goo.gle/4kKynYo).