Cyprus Trade Deficit Widens To €3.1 Billion In Early 2026

Overview Of Q1 2026 Trade Figures

Cyprus recorded a trade deficit of €3.057 billion during the January-April 2026 period, compared with €2.675 billion in the corresponding period of 2025, according to data published by the Statistical Service. The increase reflects higher imports alongside lower exports during the first four months of the year.

Rising Imports Drive The Imbalance

Total imports reached €4.697 billion between January and April 2026, up 4.8% from €4.483 billion a year earlier. Imports in April alone increased by 15.1% to €1.371 billion, compared with €1.191 billion in April 2025. Goods imported from EU member states were valued at €645.3 million, while imports from third countries reached €725.4 million. April’s figures include transfers of economic ownership of ships valued at €240.4 million, compared with €100.4 million during the same month last year.

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Declining Exports Compound The Deficit

In contrast, total goods exports for the first quarter of 2026 fell to €1.6399 billion, a decrease of 9.3% from €1.8085 billion in the same period last year. April 2026 exports were reported at €363.6 million, down 7.6% from the €393.6 million recorded in April 2025. Exports to European Union countries generated €119.6 million, while those to third countries were valued at €244.0 million, compared to €109.2 million and €284.4 million, respectively, in April 2025.

Amid these figures, the transfer of economic ownership of ships as part of exports increased marginally to €33.8 million from €32.8 million in the previous year.

Final March Figures Reveal Sector Dynamics

Final data for March show imports increased by 11.6% to €1.211 billion from €1.085 billion in March 2025. Exports of domestically produced goods, including ships and aircraft, rose by 29.3% to €368.2 million from €284.8 million a year earlier. Domestic exports of industrial products, excluding ships and aircraft, increased to €352.4 million from €273.0 million. Agricultural exports rose to €14.7 million from €11.0 million.

At the same time, exports of foreign-produced goods, including supplies for ships and aircraft, declined by 27.5% to €137.8 million from €190.2 million. During the January-March period, the largest categories of domestic exports, excluding supplies for ships and aircraft, were minerals, fuels and oils valued at €424.7 million, followed by pharmaceutical products at €94.8 million.

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

by THEFUTURE.TEAM

October 13, 2026

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.

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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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