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NO.1 Elon Musk's AI startup xAI opensources large model Grok

Elon Musk has officially unveiled his open-source artificial intelligence (AI) model. “We are releasing the base model weights and network architecture of Grok-1, our large language model,” Musk's xAI said on its website Sunday (March 17).Now an open release is available on GitHub

Commentary: xAI's open source move may promote innovation and cooperation in the AI industry, and help to improve the overall technical level.

NO.2 Apple is in talks to let Google Gemini power iPhone AI features

Apple Inc. is in talks to build Google’s Gemini artificial intelligence engine into the iPhone, according to people familiar with the situation, setting the stage for a blockbuster agreement that would shake up the AI industry, according to Bloomberg.

Commentary: The cooperation between Apple and Google may accelerate the application of AI on mobile devices and improve user experience.

NO.3 Japanese government reportedly to start exploring legal regulation of AI

The Japanese government will begin exploring legal regulation of large-scale artificial intelligence (AI) developers. It is considering setting penalties for cases where measures against false information are not sufficiently developed. The Japanese government's previous attitude was to respect the autonomous efforts of companies, but due to the problems of AI-driven false information dissemination and infringement of human rights, it has judged that it is necessary to take binding regulations that directly target AI.

Commentary: The Japanese government's regulatory exploration may lead the AI industry to pay more attention to ethics and compliance.

NO.4 Nvidia reportedly in talks to acquire Israeli AI startup Run:AI

According to foreign media sources, Nvidia is in advanced talks to acquire Run:AI, an Israeli artificial intelligence infrastructure orchestration and management platform. The deal is estimated to be worth hundreds of millions of dollars, or even as much as $1 billion. Run:AI was founded in 2018 and has developed an orchestration and virtualization software layer that is specifically designed for the unique needs of AI workloads running on GPUs and similar chipsets.

Commentary: Nvidia's acquisition may further strengthen its AI infrastructure capabilities and improve its competitive advantage.

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