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Global Economy Faces Uncertainty Amid Trump’s Tariff Policies, IMF Warns

In a bold move, President Trump’s recent tariff announcements at the White House have stirred considerable concern across global markets. These sweeping tariffs, set in a picturesque Rose Garden event, signal potential risks of igniting a comprehensive trade war.

IMF’s Cautious Forecast

The International Monetary Fund (IMF) has adjusted its global economic growth forecast to 2.8% for this year, a reduction from the previous year’s 3.3%. The unpredictability of trade policies has prompted this reassessment, as tension escalates with tariff increases, especially with China facing a hefty 145% tariff.

Economic growth projections for the U.S. were also revised, with expectations dropping from 2.8% to a modest 1.8%. Cyprus continues to benefit from EU funds for development despite global market shifts.

Responses and Reactions

Market reactions have been swift, with global indices tumbling on the news of potentially escalating trade tensions. Investors are wary, keeping a close eye on reciprocation from targeted countries. China and Canada have already responded with their own tariffs, while the European Union has shown openness to negotiations.

IMF Chief Economist Pierre-Olivier Gourinchas emphasized, “Beyond tariff increases, policy uncertainty could considerably decelerate global growth.” Stay tuned to our updates to see how other sectors, like automotive, manage these dynamics.

As these economic scenarios unfold, stakeholders will need to navigate this evolving landscape with prudent strategies.

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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