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Cyprus Tourism Down 20% Amid Middle East Instability

Economic Overview

Cyprus’ tourism sector has recorded a 20% decline this year, with industry representatives attributing much of the downturn to ongoing instability in the Middle East. Christos Angelides, President of the Cyprus Hotel Managers Association (Pasydixe), said the losses are significant and cannot be overlooked, particularly as the sector enters the peak summer season.

Recovery Through Last-Minute Bookings

Despite the weaker performance, hoteliers remain hopeful that demand could improve during the coming months through last-minute reservations. Year-round hotels were particularly affected during the March-May period, when booking activity slowed, and cancellations increased. According to Angelides, the industry is now relying on stronger demand in July and August to partially offset earlier losses. “We are still left with July to generate tourist flow,” he said, noting that booking trends over the coming weeks will be critical for the season’s overall outcome.

EU Assistance And Industry Reforms

The sector has called for financial support from the European Union to help businesses manage the impact of lower tourist arrivals. Angelides said additional assistance would help operators remain competitive against other European destinations while continuing to invest in service quality and visitor safety, two factors that have traditionally supported Cyprus’ tourism industry.

Competitive Pressures And Strategic Response

Occupancy levels in key tourism regions, including Larnaca and Famagusta, remain below expectations, reflecting the broader challenges facing the sector. Angelides called for a coordinated strategy extending through 2027 to strengthen Cyprus’ tourism offering and address concerns that have affected traveler confidence in recent months.

Although the industry expects 2026 to end below initial forecasts, stakeholders are focusing on extending the tourist season and adapting to changing market conditions in an effort to support a recovery in visitor numbers.

Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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