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CIBA And Invest Cyprus Sign MoU To Coordinate Investment Promotion

Cyprus International Businesses Association (CIBA) and Invest Cyprus (CIPA) signed a memorandum of understanding to coordinate efforts in attracting foreign investment. The agreement outlines cooperation between the two organisations on investment promotion and investor support.

Strategic Objectives

The memorandum includes coordination on sharing investment-related information, organising joint events and business missions, and supporting existing and prospective investors. Access to information on investment opportunities, regulatory developments, and available incentives is expected to improve under the initiative.

Coordinated Collaboration For Enhanced Competitiveness

Cooperation also covers knowledge-sharing, technical coordination, and joint international initiatives. Vasilis Demetriades, President of CIBA, said the partnership is intended to align the international business community with national investment efforts. He added that the initiative focuses on improving transparency and competitiveness.

Unified Approach To Driving Investment

Invest Cyprus Chief Executive Marios Tannousis said the memorandum will strengthen engagement with the international business community and improve understanding of investor needs. He added that the agreement supports a more coordinated approach to attracting new investment and expanding existing operations.

The collaboration reflects a joint public-private framework aimed at supporting investors throughout the full investment cycle, from initial interest to long-term growth.

In tandem with the agreement, CIBA and Invest Cyprus co-hosted an event titled “FDI & Omnibus: Driving Cyprus’s Competitive Edge in the EU Legal Landscape” at the end of March. The event brought together stakeholders to discuss regulatory developments and investment conditions within the European Union.

Discussions focused on how Cyprus can adapt to changes in EU legislation while maintaining its position as an investment destination, as well as the role of coordinated initiatives in supporting investment flows.

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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