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Anthropic CEO Dario Amodei admits his company is making compromises with authoritarian regimes in the race to build advanced AI.

"Unfortunately, I think 'No bad person should ever benefit from our success' is a pretty difficult principle to run a business on," Amodei wrote in an internal Slack message to staff, obtained by WIRED. "This is a real downside and I'm not thrilled about it."

Amodei acknowledged that Anthropic will seek investment from the United Arab Emirates and Qatar, even though this would "enrich dictators." Previously, Amodei had argued that "Democracies need to be able to set the terms by which powerful AI is brought into the world, both to avoid being overpowered by authoritarians and to prevent human rights abuses within authoritarian countries." Explaining the shift, he pointed to the vast amounts of capital available in the Middle East: "There is a truly giant amount of capital in the Middle East, easily $100B or more. If we want to stay on the frontier, we gain a very large benefit from having access to this capital. Without it, it is substantially harder to stay on the frontier."

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The UK government has announced a strategic partnership with OpenAI focused on joint research into AI safety and potential investments in British AI infrastructure, including new data centers. OpenAI may also expand its London office. Prime Minister Keir Starmer has said the goal is to position the UK as a global leader in AI. According to Technology Secretary Peter Kyle, the government wants AI to drive improvements in healthcare, education, and economic growth. Plans include investing £1 billion in computing power. The coalition is banking on AI to boost productivity by 1.5 percent per year, which could add £47 billion to the economy over the next decade.

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“The result of this is the model’s not just going to be better than a physicist. It’s going to be better than a superposition of somebody who’s at the top in physics, computer science and data science.”

That’s how Jonathan Siddharth, CEO of Turing AI, describes the shift happening in advanced AI model training. Instead of relying on low-cost clickworkers, companies like Scale AI, Toloka, and Turing are now turning to highly skilled experts in fields like physics, biology, software engineering, and finance. The goal is to create complex, domain-specific tasks that mirror real human thought processes - whether that means writing code, validating physical theories, or analyzing simulations. These specialized datasets are then used to train the new reasoning models at major companies like OpenAI.

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Nvidia announced at the RISC-V Summit China that it will open up its CUDA platform to support RISC-V processors. For the first time, CUDA will extend beyond x86 and Arm to include an open instruction set architecture. According to Nvidia, RISC-V CPUs can now serve as the central processing component in CUDA systems, including Jetson modules and specialized edge devices. The company showcased a reference architecture pairing RISC-V CPUs for operating system and logic tasks with Nvidia GPUs for compute workloads and DPUs for networking. This move could help expand CUDA's reach in markets like China.

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