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US President Donald Trump signed an order on Monday to launch a shared AI platform for federal research data. Called the Genesis Mission, the effort aims to make large datasets from federal agencies usable for new AI models, according to White House adviser Michael Kratsios.

The Department of Energy will link its supercomputers, research datasets, and automated lab systems through the new platform. Kratsios said the goal is to have AI plan experiments, speed up simulations, and generate predictions on topics like protein structures and plasma behavior.

Energy Secretary Chris Wright pointed to the surge in private AI investment but argued that more of that momentum needs to shift toward scientific and technical research. He said the data held by federal labs is essential for that work. The order also highlights priority areas including biotechnology, space, energy, and semiconductor research.

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Several large insurers, including AIG, Great American, and WR Berkley, have filed requests with U.S. regulators to exclude AI-related risks from their corporate insurance policies, according to the Financial Times. The companies warn that generative AI systems like chatbots and AI agents could expose them to billions of dollars in liability claims.

WR Berkley reportedly proposed an exclusion that would apply to any claim resulting from the use of AI in any form. AIG told Illinois insurance regulators that generative AI represents a broad and far-reaching technology and that related claims are likely to increase in the future.

Insurers point to recent lawsuits as evidence of the problem. Wolf River Electric sued Google for at least $110 million, alleging that the company’s AI-generated overview spread false statements. In another case, a court ordered Air Canada to honor a discount price its customer service chatbot had invented.

Kevin Kalinich, a managing director at Aon, said the insurance industry could handle a single $400 million loss but not 1,000 or 10,000 correlated claims caused by an error from one AI provider.

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Google is introducing a cloud-based system called Private AI Compute designed to protect user data during AI processing. Jay Yagnik, Google's Vice President of AI Innovation, said the technology runs tasks inside an isolated environment that no one - not even Google - can access.

The system uses Google's own TPUs along with Titanium Intelligence Enclaves for encrypted data handling, building on the company’s existing privacy and security framework.

Early applications appear on Pixel devices, including Magic Cue and the Recorder app, which now supports more languages. The goal is to let Gemini models deliver their full performance without exposing personal data. Google has also published a technical brief outlining the system's architecture and privacy safeguards.

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Barclays estimates that data centers for AI giants like OpenAI, Meta, and Amazon could need as much as 46 gigawatts of electricity. That's about the same amount of power used by 44 million US households, or roughly a third of all homes in the country. Building out these projects could cost $2.5 trillion.

This massive expansion is already putting pressure on the power grid. Nvidia, Microsoft, and OpenAI are warning about possible grid instability caused by rapid swings in electricity demand. Some plans call for energy sources like solar plants and gas storage to be integrated directly into the data centers. OpenAI has even asked the US government to add 100 gigawatts of new power generation each year. It's still unclear how many of these projects will actually get built. According to Barclays, it's hard to draw the line between projects that are real and those that are still just speculation.

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