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Google has just made a major play in the AI race, launching its next-generation Gemini 3 model. The new flagship AI is already claiming top performance on key reasoning benchmarks, directly challenging its top rivals. |
With the simultaneous launch of a free platform for building AI agents, is this two-pronged strategy-a powerful model paired with accessible developer tools-the key to Google retaking the lead? |
Today in AI: |
Google's Gemini 3 tops GPT-5 on reasoning Google's new free agent platform Hassabis on AI-driven medical diagnostics |
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What's new? Google has launched Gemini 3, its next-generation flagship model, claiming top performance on key reasoning benchmarks and introducing a 'new era of intelligence'. |
What matters? |
Gemini 3, alongside its Deep Think architecture, surpasses GPT-5 on key reasoning benchmarks like Humanity's Last Exam and also leads in scientific knowledge, math, and multimodal tasks. Alongside the model, Google introduced Antigravity, a free, agent-first development platform that lets you orchestrate multi-agent workflows with browser control. DeepMind CEO Demis Hassabis highlighted that Gemini 3's powerful multimodal capabilities will serve as a foundation for specialized systems like AMIE, aiming to improve AI-driven medical diagnostics. |
Why it matters? |
Google has retaken a leading position in the AI race, directly challenging OpenAI's dominance with verifiable benchmark wins. The launch of Antigravity signals a major push toward an agent-based future, empowering developers to build more autonomous and capable applications. |
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GUIDE |
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What's new? Alongside its new Gemini 3 model, Google launched Antigravity, a free platform designed to help developers build and manage complex AI agents. |
What matters? |
The platform is designed to simplify building AI agents, making it more accessible for developers to create applications that can perform tasks on their behalf. It includes built-in browser control, which allows agents to navigate websites and interact with web-based applications to automate workflows. Antigravity supports multi-agent orchestration, enabling developers to coordinate multiple specialized agents to tackle more complex, multi-step problems. |
Why it matters? |
Google is giving developers powerful tools to build the next wave of AI-powered assistants and automation. This move could accelerate the development of specialized agents that handle everything from complex research to daily administrative tasks. |
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What's new? In an exclusive interview, Google DeepMind CEO Demis Hassabis revealed how Gemini 3 will serve as a foundation for advanced applications, including AI-driven medical diagnostics. |
What matters? |
Hassabis envisions bringing the capabilities from specialized research systems like Project AMIE for medical diagnostics directly into the general Gemini model. The model's powerful multimodal capabilities are a key reason for this direction, as many health-related questions involve interpreting complex, varied data types. A long-term goal is to use the Gemini app on Android devices for democratizing healthcare by providing a basic level of medical knowledge in areas without sufficient primary care. |
Why it matters? |
The conversation highlights a significant move beyond benchmarks to applying AI to solve complex, real-world problems in high-stakes fields like medicine. Gemini 3's release signals a future where frontier models act as the core platform for a new generation of expert-level AI assistants. |
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Everything else in AI |
Gemini 3 trails Anthropic's Claude Sonnet 4.5 on coding benchmarks, despite its record-breaking performance across most other reasoning and multimodal categories. |
Google's research on its AMIE system showed the AI could achieve diagnostic accuracy on par with or even exceeding unspecialized physicians in text-based conversational assessments. |
Google trained its new Gemini 3 models on its next-generation Tensor Processing Units (TPUs), highlighting the critical role of custom hardware in the performance of its new flagship model. |
Google's new agent-building platform, Antigravity, is built on Firebase, allowing developers to leverage existing cloud infrastructure for creating and deploying complex AI workflows. |
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