{"id":94246,"date":"2026-02-13T11:30:10","date_gmt":"2026-02-13T08:30:10","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=94246"},"modified":"2026-02-13T11:35:25","modified_gmt":"2026-02-13T08:35:25","slug":"google-enhances-gemini-deep-think-launches-ai-mathematician-and-accelerates-drug-design","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/google-enhances-gemini-deep-think-launches-ai-mathematician-and-accelerates-drug-design\/","title":{"rendered":"Google Enhances Gemini Deep Think, Launches AI Mathematician and Accelerates Drug Design"},"content":{"rendered":"

Google has updated<\/a> the reasoning mode of Gemini 3 Deep Think. The tool is positioned as a solution for complex tasks in science and engineering.<\/p>\n

In tests, the model outperformed OpenAI’s GPT-5.2 and Anthropic’s Claude Opus 4.6, including in ARC-AGI-2 with visual puzzles, MMMU-Pro for evaluating multimodal capabilities, Elo 3455, and the “Last Exam of Humanity.”<\/p>\n

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Source: Google.<\/figcaption><\/figure>\n
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\u201cWe updated Gemini 3 Deep Think in close collaboration with scientists and researchers to tackle complex scientific challenges\u2014where tasks often lack clear boundaries or a single correct solution, and data is incomplete,\u201d the company blog states.<\/p>\n<\/blockquote>\n

Gemini 3 Deep Think demonstrates advanced results in mathematics and programming, and performs “excellently” in natural sciences, including chemistry and physics. The updated mode solves problems at the level of gold medalists in international olympiads.<\/p>\n

In the CMT-Benchmark, the model scored 50.5%, confirming deep knowledge in theoretical physics.<\/p>\n

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Source: Google.<\/figcaption><\/figure>\n
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\u201cBeyond advanced metrics, Deep Think is geared towards practical application: it helps researchers interpret complex data and engineers model physical systems through code,\u201d Google noted.<\/p>\n<\/blockquote>\n

The new Deep Think is available in the Gemini app for Google AI Ultra subscribers and Gemini API<\/span> for select developers.<\/p>\n

AI Mathematician from DeepMind<\/strong><\/h2>\n

Google’s DeepMind division introduced<\/a> the AI agent Aletheia. The model set a new record in the IMO-ProofBench Advanced benchmark, solving 91.9% of tasks. The test is considered one of the most challenging in mathematics.<\/p>\n

The neural network is built on the Gemini Deep Think platform. The system is equipped with a verification module: it identifies errors in draft solutions and initiates an iterative process of refinement.<\/p>\n

A key feature of the agent is its ability to recognize the impossibility of solving a problem, significantly saving researchers’ time.<\/p>\n

Aletheia uses Google Search to navigate complex scientific materials, preventing the use of false links and computational errors when working with scientific materials.<\/p>\n

Among the model’s achievements:<\/p>\n