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Breaking: U.K. and U.S. Forge Historic Trade Deal Amidst Ongoing Tariff Challenges

Spearheading global trade, the United Kingdom is set to finalize a groundbreaking trade deal with the United States. Deemed as the first such pact since the world’s largest economy enforced stringent ‘reciprocal’ tariffs earlier this year, this agreement marks a pivotal moment in U.S.-U.K. relations.

Scheduled for 10:00 a.m. ET (3:00 p.m. London time) announcement, the anticipated press conference will take place in the Oval Office. U.S. President Donald Trump revealed on social media, “The comprehensive agreement with the U.K. solidifies our two nations’ bond for years to come,” emphasizing the historic ties between the two allies.

A spokesperson for U.K. Prime Minister Keir Starmer’s office acknowledged the U.S. as a vital economic and security partner. Talks have been brisk, with further updates expected from the Prime Minister.

While Britain escaped higher tariffs, it instead faced a 10% baseline levy, the agreement hints at more deals on the horizon. Despite President Trump’s mixed messages about the necessity of signing deals, the U.K. appears optimistic about securing beneficial terms, setting a noteworthy precedent for future trade discussions worldwide.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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