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Dolby Vision 2 will use AI to fine-tune TV picture quality in real time, taking both the content and the viewing environment into account. 

The "Content Intelligence" system blends scene analysis, environmental sensing, and machine learning to adjust the image on the fly. Features like "Precision Black" enhance dark scenes, while "Light Sense" adapts the picture to the room's lighting.

Hisense will be the first to feature this AI-driven technology in its RGB Mini LED TVs. The MediaTek Pentonic 800 is the first processor with Dolby Vision 2 AI built in.

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OpenAI is planning a data center in India with at least 1 GW of capacity, Bloomberg reports. The company is searching for local partners, but details about the location and timeline are still unclear. OpenAI has already registered in India and aims to open a New Delhi office in 2025. The project could be part of the Stargate initiative, backed by SoftBank, Oracle, and OpenAI. In Norway, a Stargate center has been officially announced with an initial 230 MW, targeting 520 MW after expansion. Other Stargate projects include a planned 1 GW cluster in the United Arab Emirates, with the first 200 MW phase coming in 2026, and up to 4.5 GW of extra capacity in the US through Oracle.

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Alibaba has developed a new AI chip, which is currently in testing, designed for a broad range of inference tasks, such as powering the responses from a smartphone voice assistant. The chip is manufactured by a Chinese company and is more versatile than Alibaba's older chips. It is designed for inference, not for training AI models—an area where China's biggest weakness lies compared to the US.

As reported by the Wall Street Journal, Alibaba's new chip is compatible with the Nvidia software platform, meaning engineers can repurpose programs written for Nvidia hardware. The chip helps to fill the void created after Nvidia ran into regulatory barriers restricting sales of its products in China. Alibaba was long one of Nvidia's biggest customers before these restrictions were put in place.

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X.AI has introduced Grok Code Fast 1, a new AI model designed specifically for agent-based programming. The company says it uses a "new architecture," was trained on real-world programming data, and is built to be fast and cost-effective. Grok Code Fast 1 supports a wide range of programming languages and is intended to handle tasks like bug fixes and project setup on its own. Early integration partners include GitHub Copilot, Cursor, and others, where the model is available for free testing for a limited time. Pricing is set at $0.20 per million input tokens and $1.50 per million output tokens. X.AI hasn't released benchmark comparisons, sharing only a single SWE-Bench score of 70.8 percent. According to initial user reports, the model is fast, but struggles with more complex tasks and makes frequent mistakes. Grok Code Fast 1 seems positioned as an alternative to smaller models like GPT-5-nano.

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