Google Unveils Two Versions of Upgraded Gemini 2.5 Processor for Advanced Cognitive Computing
In a significant development, Google's latest AI model, Deep Think, has made a remarkable achievement by securing the gold medal at this year's International Mathematical Olympiad (IMO). This multi-agent reasoning system, part of the Gemini 2.5 series, was unveiled at Google's I/O conference in May.
Deep Think operates faster than previous models and uses "parallel thinking techniques" to generate and consider multiple ideas simultaneously. This approach allows it to solve complex problems more effectively and creatively than conventional single-agent AI models.
Initially, Deep Think was exclusively available to Google AI Ultra subscribers via the Gemini app. While it reaches a bronze-level performance on the IMO benchmark internally, it offers an accessible, faster version suitable for day-to-day use. A more powerful, slower variant, capable of taking hours to reason, has been shared with a select group of mathematicians and academics to support research efforts.
Google aims to gather feedback from these expert users to refine Deep Think further for academic and enterprise use, reflecting a strategic move to push the frontier of human knowledge.
Deep Think is distinguished from other Gemini AI models such as Gemini 2.5 Pro, which focuses on advanced reasoning, math, coding, and deep research capabilities but operates with a single-agent architecture optimized for speed and broad assistance in AI Mode on Google Search. Gemini 2.5 Pro is available to both AI Pro and AI Ultra subscribers, providing thorough responses for complex queries, and integrates tools like Deep Search for in-depth research.
The Gemini AI lineup also includes Gemini 2.5 Flash and the Gemini SDK. The latter provides compatibility with the Model Context Protocol (MCP) to let agents use a variety of tools.
Alphabet, Google's parent company, has announced plans to raise its projected capital expenditures to $85 billion in 2025 to support AI infrastructure. This increase is crucial to meeting the growth and demand from cloud customers, according to Alphabet and Google CEO Sundar Pichai.
Deep Think is likely to be used for iterative development and design, web development, scientific and mathematical discovery, algorithmic development, and code. With its exceptional capabilities, it is well-positioned to help people tackle problems that require creativity, strategic planning, and making improvements step-by-step.
Last week, Google released a version of Google 2.5 Deep Think to a small group of mathematicians and academics. This release marks a significant improvement over the one announced by Google in May, demonstrating the company's commitment to continuous improvement and innovation in AI technology.
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- Google's latest AI model, Deep Think, is now being used for iterative development and design, web development, scientific and mathematical discovery, algorithmic development, and code.
- Google has shared a more powerful, slower variant of Deep Think with a select group of mathematicians and academics for research efforts, with the aim of gathering feedback to refine it further for academic and enterprise use.
- Alphabet, Google's parent company, has announced plans to raise its projected capital expenditures to $85 billion in 2025 to support AI infrastructure, with the increase being crucial to meeting the growth and demand from cloud customers.
