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Chinese tech giants are training their models offshore to sidestep US curbs on Nvidia’s chips

Nvidia can’t sell its best AI chips in the world’s second-largest economy. That’s an Nvidia problem. But it’s also a China problem — and it’s one that the region’s tech giants have resorted to solving by training their AI models overseas, according to a new report from the Financial Times.

Citing two people with direct knowledge of the matter, the FT reported that “Alibaba and ByteDance are among the tech groups training their latest large language models in data centers across south-east Asia.” Clusters of data centers have particularly boomed in Singapore and Malaysia, with many of the sites kitted out with Nvidia’s latest architecture.

One exception, per the FT, is DeepSeek, which continues to be trained domestically, having reportedly built up a stockpile of Nvidia chips before the US export ban came into effect.

Last week, Nvidia spiked on the news that the Trump administration was reportedly considering letting the tech giant sell its best Hopper chips — the generation of chips that preceded Blackwell — to China.

Citing two people with direct knowledge of the matter, the FT reported that “Alibaba and ByteDance are among the tech groups training their latest large language models in data centers across south-east Asia.” Clusters of data centers have particularly boomed in Singapore and Malaysia, with many of the sites kitted out with Nvidia’s latest architecture.

One exception, per the FT, is DeepSeek, which continues to be trained domestically, having reportedly built up a stockpile of Nvidia chips before the US export ban came into effect.

Last week, Nvidia spiked on the news that the Trump administration was reportedly considering letting the tech giant sell its best Hopper chips — the generation of chips that preceded Blackwell — to China.

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Jon Keegan

Report: Google DeepMind builds “strike team” to catch up to Anthropic models

Anthropic’s recent momentum, powered by the success of its popular Claude Code tool, is turning up the heat among its AI competitors — not only for its AI startup peer OpenAI, but also with established Big Tech giants like Google.

The Information reports that within Google DeepMind, a “strike team” has been assembled to make a serious push to improve Gemini’s coding capabilities. According to the report, leaders within Google, including cofounder Sergey Brin, are sounding the alarm after determining that Anthropic’s Claude has superior coding skills. The new team’s goal is to create a AI system that can improve itself.

“To win the final sprint, we must urgently bridge the gap in agentic execution and turn our models into primary developers,” Brin wrote in a recent memo to DeepMind staff.

The Information reports that within Google DeepMind, a “strike team” has been assembled to make a serious push to improve Gemini’s coding capabilities. According to the report, leaders within Google, including cofounder Sergey Brin, are sounding the alarm after determining that Anthropic’s Claude has superior coding skills. The new team’s goal is to create a AI system that can improve itself.

“To win the final sprint, we must urgently bridge the gap in agentic execution and turn our models into primary developers,” Brin wrote in a recent memo to DeepMind staff.

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Rani Molla

Tesla’s federal tax bill last year was once again $0, Reuters reports. While past losses and green energy credits helped shrink the bill, Reuters found that Tesla also leaned on a classic corporate maneuver: offshore profit-shifting. By routing intellectual property rights through paper-only subsidiaries in the Netherlands and Singapore, Tesla effectively parked $18 billion in profits overseas between 2023 and early 2025. The entirely legal setup saved Tesla an estimated $400 million in US taxes. Not bad for a company whose CEO is not a fan of “shady” tax loopholes.

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