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Cyprus Farmers Push For Stricter Controls Amid Aftodi Fever Outbreak

Cyprus’ livestock sector is rallying for immediate and coordinated action to prevent an escalating outbreak of aftodi fever, a highly contagious disease threatening cattle, sheep, and goat farms throughout the island.

Unified Call For Enhanced Veterinary Measures

Representatives of cattle, sheep, and goat farmers are calling for updated island-wide protocols. Kostas Konstantinou, Vice President of the Goat and Sheep Breeders Group “O Poimenas” and member of the Coordinating Committee of Livestock Groups, said Veterinary Services should introduce revised measures without regional differences to limit further spread of the disease.

Learning From European Best Practices

Drawing parallels with strict protocols adopted by several European nations, Mr Konstantinou noted that countries that implemented stringent measures managed to contain the outbreak within three months, limiting its spread to a radius of 10-20 kilometres. His message is clear: only with uncompromising actions can further transmission be prevented, thereby safeguarding both animal life and the economic well-being of the livestock sector.

Reinforcing Protocols And Accountability

Nikolaos Papakyriakou, General Director of the Pan-Cypriot Livestock Association, stressed the need for immediate compensation mechanisms for affected farms. He added that Veterinary Services and law enforcement must strictly control human and vehicle access to affected areas. Producers have also received updated guidance aimed at improving early detection and response.

Economy At Risk And A Call For Presidential Intervention

Pan-Cypriot Livestock Association Secretary General Panikos Champas warned that failure to contain the outbreak could significantly impact the national economy, noting that livestock products such as halloumi generate more than €400 million in annual revenue. He also cautioned that large-scale livestock losses could affect employment and called for emergency measures similar to those implemented during the 2007 outbreak.

Maintaining Strict Operational Controls

Industry representatives, including Kyriakos Kailas, President of the Pan-Grocers Association, support immediate containment actions, including targeted disinfection and quarantine measures. Current restrictions already include limits on animal and feed movement, with stakeholders warning that delayed action could worsen the situation.

As Veterinary Services intensify monitoring, livestock groups say consistent enforcement and coordinated action remain essential to preventing wider spread.

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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