Google DeepMind Collaborates with Robotics to Make Breakthroughs in New Materials


Google AI Iteration Speeds Up: On September 4, the B.AI platform integrated the DeepMind Gemini 3.8 Flash model API, marking the full establishment of this key model in the development ecosystem. As the latest mainstay of the Gemini 3 family, it combines high cost-effectiveness with low latency, and performs outstandingly in software engineering, complex intelligent agent tasks, professional multi-step reasoning, and high-barrier industries such as finance and law.
Google DeepMind announced that the global downloads of the Gemma series model have exceeded 1 billion. Over the past two years, developers have released more than 100,000 variants, forming an innovative ecosystem called "Gemmaverse." The model is highly flexible and can be deployed on local devices, edge infrastructure, and even in complex environments such as space.
On July 21, Samsung Electronics established the RX Robotics Division, which reports directly to the CEO and is incorporated into the company's future growth strategy. The division is responsible for the long-term planning of robotics, promoting the research and development of core technologies, product implementation, strengthening domestic and overseas R&D systems, and enhancing commercialization capabilities, demonstrating Samsung's strategic focus on the robotics business.
Sam Altman, CEO of OpenAI, announced the restart of the robot business and released recruitment information, seeking full-stack hardware, operations, systems, and machine learning engineers. This move marks OpenAI's expansion from the digital world to the physical world, focusing on embodied intelligence, aiming to apply large model capabilities to real-world entities, and emphasizing the core value of artificial intelligence.
Google DeepMind CEO Hassabis predicts that Artificial General Intelligence (AGI) could appear as early as 2029-2030, with key breakthroughs potentially achieved within the next three years. He points out that increased investment by tech companies is accelerating the maturity of core technologies such as multimodal understanding, autonomous decision-making, and AI agents.