New Larnaca-Dhekelia Road Opens After 26 Years Of Planning

by News Editor

August 6, 2026

After more than 26 years in the making, the new Larnaca-Dhekelia road has officially opened to traffic, marking the completion of a major infrastructure project for the district.

Valued at €14.8 million, the third phase includes a 3.25-kilometre four-lane carriageway and 4.5 kilometres of service roads, improving access to one of Larnaca’s busiest coastal areas.

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Final Works Continue

Larnaca District Public Works Engineer Lazaros Lazarou said the main carriageway has been fully open to traffic since July 24, extending to the Pyla roundabout.

Construction of the remaining service roads, which were added after revisions to the original contract, is expected to be completed by the end of October.

Work on the project began in September 2022 and was initially scheduled for completion in March 2025. Following an extension, the road was completed in mid-July 2026.

Boost For Connectivity And Investment

According to Lazarou, the new road will improve road safety, enhance accessibility and create opportunities for further investment in the area. He also highlighted the addition of dedicated cycling lanes, reflecting the growing emphasis on sustainable transport.

Welcoming the opening, Larnaca Chamber of Commerce and Industry President Nakis Antoniou said the project ends years of waiting and delivers a major improvement for residents, businesses and visitors.

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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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