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Oil Prices Surge Amid Syrian Turmoil

Oil prices kicked off the week on an upward trajectory after rebels ousted the 43-year rule of President Bashar al-Assad and his father, Hafez al-Assad. The prospect of civil war has fueled concerns over heightened tensions in the Middle East, raising the risk of supply chain disruptions.

Key Figures

  • Brent crude rose 0.52% to $71.49 per barrel.
  • US light crude climbed 0.58% to $67.59 per barrel.

These movements followed the seizure of Damascus by Hayat Tahrir al-Sham, a radical rebel group, on Sunday. This marked the end of 50 years of Assad family rule, raising fears of a possible escalation into civil war.

The oil market’s upward trend comes after two consecutive weeks of losses for both Brent and US light crude, driven by growing expectations of oversupply in 2025.

Market Constraints

Despite the rise in prices, broader market sentiment remains weighed down by weak demand in China, the world’s second-largest economy. This prompted Saudi Aramco, the world’s top crude exporter, to slash its January 2025 prices for the Asian market to the lowest level since early 2021.

OPEC+ Strategy Shift

In a move that surprised markets, OPEC+ postponed its planned production increase for January by an entire year, rather than the previously expected three months. OPEC+ controls about 50% of global oil production, and the group had initially planned to ramp up production from October 2024. However, slowing demand, especially from China, along with rising output from other producers, forced multiple delays to the increase.

With the global energy market still under pressure from weak demand, the cartel’s decision signals a shift toward a more cautious production strategy to maintain price stability.

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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