Oil Prices Experience Largest Weekly Drop Since October Amid U.S. Policy Uncertainty

by News Editor

March 7, 2025

In a remarkable shift, oil prices are on track to witness their largest weekly decline since October last year. The pivotal factor contributing to this downturn is the ambiguity surrounding the U.S. trade policy, which threatens to dampen oil demand in the world’s largest economy.

Key Figures

Brent crude oil futures saw a slight rise by 0.43% to $69.76 per barrel.
West Texas Intermediate (WTI) climbed 0.38% to $66.61 per barrel.
Despite these increments, both contracts are expected to end the week with a significant drop—Brent by 4.9% and WTI by 4.8%.

Market Dynamics

The oil market, like many others, finds itself in turmoil due to the fluctuating trade policies of the United States—the world’s biggest oil consumer. Recent statements by President Trump indicate a temporary halting of enhanced tariffs on goods from Canada and Mexico until April 2. Yet, tariffs on steel and aluminum will proceed as planned. This partial suspension fails to address Canadian energy products, which still face a 10% levy.

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For an in-depth analysis of similar economic fluctuations, check out our article on Cyprus Exports to the US.

Expert Insight

Vandana Hari, the founder of Vanda Insights, notes, “Financial markets seem engulfed in panic mode, with limited solace found in President Trump’s delays. Even as crude prices hover around a four-month low, further declines remain possible.”

Future Outlook

According to a report by Fitch, the risk to pricing persists following OPEC+’s decision to boost petroleum output in April. This could lead to an oversupply, sending Brent prices to their lowest since December 2021.

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

by News Editor

August 6, 2026

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.

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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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