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High Occupancy Rates for Cyprus Restaurants in October; Winter Decline Anticipated

Restaurants, cafes, and bars in Cyprus experienced a strong October, with occupancy levels reaching 80 to 90 per cent, according to Neophytos Thrasyvoulou, president of the Federation of Leisure Centre Owners (Osika). He described October as a “very successful month” for the food service industry.

However, with winter approaching, Thrasyvoulou acknowledged potential challenges, especially with the impact of regional instability. “Visitor numbers have seen a slight drop in recent days,” he noted, though he hopes that occupancy levels will remain steady until mid-November. By early November, Thrasyvoulou expects visitor occupancy to hover around 50 to 60 per cent, after which the responsibility will lie with businesses to keep operating, with support from the Labour Ministry’s programme to extend the tourism season.

Reflecting on the earlier summer months of June and July, Thrasyvoulou highlighted that visitor numbers were initially lower than expected, largely due to Middle East tensions. The trend eventually improved, leading to a stronger second half of the season.

Despite rising costs, Thrasyvoulou urged business owners to maintain affordable pricing, aiming to keep dining accessible for both locals and tourists amid economic pressures.

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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