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Cyprus Faces Energy Strain As Cold Wave Hits: Authorities Call For Power Conservation

A cold wave sweeping across Cyprus threatens to test the island’s energy infrastructure in the coming days. Chará Kousiappa, spokesperson for the Cyprus Transmission System Operator (TSOC), warned that the country could face serious challenges as energy demand surges.

“It will be a tough situation,” Kousiappa told the Cyprus News Agency. “We’re already seeing very high demand, and we’re continuously assessing the situation. We hope things will go smoothly, but we’re ready to act if necessary.”

The cold front is expected to hit shortly, with the most critical period for electricity demand falling between 6:00 PM and 9:00 PM—when renewable energy production drops off. During these peak hours, the power supply will be under significant pressure, as several key power units are offline due to scheduled maintenance or technical issues.

TSOC is closely monitoring the situation, and Kousiappa hopes that some of the power units currently under repair at the Dhekelia and Vasilikos stations can be brought back online before temperatures fall. She also emphasized the importance of energy conservation, urging the public to reduce electricity usage during peak hours and shift high-energy tasks, like laundry and dishwashing, to the day when solar power is at its peak.

As Cyprus braces for a difficult few days, authorities are calling on citizens to play their part in ensuring the stability of the island’s power grid.

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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