AI in practice

Microsoft presents its first large AI models and signals greater independence from OpenAI

AI and society

Google downplays AI's environmental impact in new study

AI in practice

Deepseek’s first hybrid model V3.1 surpasses its R1 reasoning model on benchmarks

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AI and society
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G42 is moving to lessen its dependence on Nvidia and is in talks with AMD, Cerebras Systems, and Qualcomm, according to a source familiar with the matter who spoke to Semafor. G42 also holds a stake in Cerebras Systems.

Of the five gigawatts planned for the UAE-US AI Campus, one gigawatt is already set aside for a Nvidia-powered Stargate data center. But these negotiations make it clear G42 doesn't want to rely solely on Nvidia. The company is aiming for a more diversified hardware base, partly in response to geopolitical tensions and concerns over supply chain dependencies.

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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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WeChat is introducing new rules that require users to label any AI-generated content they share, including videos and public posts. The platform may also add its own visible or invisible labels to content to increase transparency.

When posting on a public WeChat account, users must indicate if any content—whether video, image, or text—was generated by AI and choose the appropriate category, including official/media, news, entertainment, personal opinion/reference only. | Image: Screenshot via WeChat

These changes follow China's government regulation on mandatory labeling of AI-generated content, which takes effect on September 1, 2025. Users who ignore the rules, such as by removing required labels or sharing misleading content, will face penalties, according to WeChat.

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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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AI in practice

Microsoft presents its first large AI models and signals greater independence from OpenAI

AI and society

Google downplays AI's environmental impact in new study

AI in practice

Deepseek’s first hybrid model V3.1 surpasses its R1 reasoning model on benchmarks

Google News