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Bank Of Cyprus Achieves €1 Billion In Real Estate Sales Since 2019

Since 2019, the Bank of Cyprus has significantly reduced its non-performing exposures (NPEs) by selling over €1 billion in real estate assets. This aggressive divestment strategy is part of the bank’s broader efforts to improve its balance sheet and financial stability. The sales, which include a mix of residential, commercial, and land assets, have enabled the bank to enhance its capital adequacy ratios and strengthen its position in the Cypriot banking sector.

This strategic move aligns with the bank’s long-term goal of focusing on core banking operations while mitigating risks associated with holding extensive real estate portfolios. By offloading these assets, the Bank of Cyprus has not only reduced its exposure to non-performing loans but also generated substantial liquidity, which can be redirected towards more profitable ventures.

The real estate market in Cyprus has shown resilience, supported by both domestic demand and foreign investment, particularly from European and Middle Eastern buyers. This favourable market environment has allowed the Bank of Cyprus to execute its sales at competitive prices, further bolstering its financial performance.

Looking ahead, the Bank of Cyprus is expected to continue this trajectory, leveraging the proceeds from these sales to strengthen its balance sheet further and explore new growth opportunities within its core banking activities. The success of this real estate disposal strategy underscores the bank’s commitment to maintaining a robust financial position and delivering value to its shareholders.

In conclusion, the €1 billion in real estate sales marks a significant milestone for the Bank of Cyprus, reflecting its strategic focus on financial health and risk management. This move not only enhances the bank’s stability but also positions it for future growth in a competitive and evolving banking landscape.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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