Google's Mind-Blowing AI Just Solved Advanced Math Problems - And You Can Use It

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Tech enthusiasts, buckle up for some serious AI innovation that’s about to change how we solve complex problems. Google has just released Gemini 2.5 Deep Think, an artificial intelligence model that’s pushing the boundaries of machine reasoning and problem-solving.
While it might not be the exact gold medal-winning version that conquered the International Mathematical Olympiad, this AI is still impressively powerful. Designed with advanced “parallel thinking” techniques, Deep Think can explore multiple ideas simultaneously and learn from its problem-solving attempts.
The model isn’t just a mathematical marvel - it’s a versatile tool capable of tackling challenges across multiple domains. From generating intricate design concepts to breaking down complex scientific research, Deep Think demonstrates capabilities that were science fiction just a few years ago.
However, accessing this cutting-edge technology comes with a price tag. Google is offering Deep Think exclusively through its AI Ultra plan, which costs $249.99 monthly (with a promotional rate of $124.99 for the first three months). This premium tier includes not just the AI, but also 30 TB of storage and additional AI tools.
What sets Deep Think apart is its ability to handle nuanced, multi-step problems with remarkable precision. Early tests show it outperforming previous AI models in coding, mathematical reasoning, and creative tasks. Researchers have even used it to explore unsolved mathematical problems and generate potential proofs.
The model’s performance isn’t just incremental - it represents a significant leap forward in AI capabilities. By combining reinforcement learning with parallel thinking, Google has created an AI that can genuinely “think” through complex scenarios.
As AI continues to evolve, tools like Gemini 2.5 Deep Think offer a glimpse into a future where artificial intelligence becomes a powerful collaborative partner in solving humanity’s most challenging problems.
AUTHOR: mei
SOURCE: VentureBeat