Bank of Cyprus Receives Notable Ratings Upgrade By Fitch

by News Editor

March 18, 2025

In a remarkable financial development, Fitch Ratings has elevated the ratings of the Bank of Cyprus Public Company Limited (BoC) from ‘BB+’ to ‘BBB-‘, indicating a strong positive outlook. This upgrade underscores the bank’s enhanced asset quality and robust capitalization.

The rating improvement is largely attributed to the bank’s strategic reduction in problematic legacy assets, such as non-performing exposures (NPEs) and net foreclosed properties. This has enabled a healthier capital structure with reduced encumbrance by unresolved problem assets.

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Fitch notes that despite lowering interest rates, BoC’s profitability remains solid thanks to its competence as the largest domestic bank in Cyprus. With consistent deleveraging, it is poised for ongoing financial stability.

Prospective Economic Growth For Cypriot Banks

The favorable outlook anticipates better business and financial prospects amidst Cyprus’s economic growth, with decreasing unemployment and lower private sector debt. BoC’s plans to expand into wealth management and insurance activities stand to gain from these economic trends.

Expectations are that the ratio of BoC’s problem assets will drop below 5% within two years, thanks to diminishing NPE portfolios and active disposals of foreclosed assets. Last year, the bank’s operating profit/risk-weighted assets (RWA) ratio was a robust 5.4%, indicating a sustainable path forward.

Financial Strength And Stability

By the end of 2024, BoC boasted a common equity Tier 1 (CET1) ratio of 19.2%, with a notable buffer over regulatory demands. The bank’s CET1 encumbrance by problem assets fell significantly owing to further disposals.

Supported by a strong Cypriot deposit base, BoC maintains excellent liquidity. Looking ahead, while a downgrade is improbable, Fitch warns that any economic downturn in Cyprus could impact ratings. However, further elevation of the operating environment for Cypriot banks could enhance BoC’s business profile.

If you’re curious about technological advancements in Cyprus, read AI At Work: Cyprus Among Europe’s Most AI-Skeptical Nations.

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Meta Unveils 816 Billion-Parameter AI Model For Mac, But It Requires 1TB Of RAM

by THEFUTURE.TEAM

October 16, 2026

Meta has introduced what it describes as the most capable open-weight AI model available in the United States, making a strategic bet on Apple’s Mac ecosystem. The release reflects the company’s ambition to strengthen its position in open AI while bringing advanced models into professional development and creative workflows.

A Powerful Model With High Hardware Requirements

Called Muse Spark Open, the model has 816 billion parameters and a context window of 1 million tokens. Meta said benchmark results published on Thursday show it outperforming other widely used open-weight systems across key evaluations.

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Natively multimodal, Muse Spark Open is designed for complex coding and agentic tasks, extending beyond conventional chatbot use. However, local deployment requires substantial computing power. According to Engadget, the model needs at least 1TB of RAM, with the best performance expected on a Mac Studio equipped with Apple’s M5 Ultra chip. These requirements may limit local use to developers and organisations with access to high-end hardware.

Built For Real-World Development

Meta has paired Muse Spark Open with Muse Code, its AI coding terminal, and tested it across agentic workflows. In one project, the model helped develop a Mastodon client, handling bug fixes, new features and the build process.

The company also deployed the model in DaVinci Resolve, the professional video-editing platform, where it reviewed and cropped footage. These examples demonstrate Meta’s aim to position open-weight AI as a tool for practical production work, from software development to creative tasks, rather than just research demonstrations.

The Strategic Case For Open-Weight AI

Open-weight models give developers and organisations greater flexibility to customise AI, integrate it into internal tools and build specialised workflows. Depending on deployment, they can also reduce costs and provide more control over infrastructure than relying entirely on proprietary services.

However, access to model weights does not eliminate the cost of running advanced AI. Muse Spark Open’s reported memory requirements could make API access a more practical option for many developers than local deployment.

Expanding Access Beyond Mac Hardware

Meta is making Muse Spark Open available through multiple API platforms, allowing developers to use the model without running it on their own machines. This broadens access beyond users with high-end Mac hardware while retaining the option of local deployment for those able to support it.

The release combines Meta’s push to strengthen its position in the open-weight AI ecosystem with a focus on professional users. Wider adoption will depend on the model’s performance, practical usefulness and the resources required to run it.

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