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Cyprus’ Financing Programme On Track Amidst Economic Optimism

Cyprus is advancing its annual financing programme efficiently, aligning closely with its fiscal targets for 2024. The approved borrowing ceiling stands at €1.3 billion, predominantly sourced from European Medium-Term Notes (EMTN). So far, Cyprus has successfully raised nearly €1.2 billion, including a recent €1 billion, seven-year fixed-rate bond issued in June.

The financing strategy also includes public treasury bills and domestic bonds aimed at individual investors. To date, €87.5 million of the targeted €120 million in treasury bills and €6.4 million of the intended €40 million in domestic bonds have been issued. Furthermore, Cyprus has secured €92.75 million in loans from supranational organisations, progressing towards the €140 million goal.

Public treasury bills, set to mature in October 2024, offer an annualised yield between 3.65% and 3.75%, presenting an attractive option for non-professional investors and businesses seeking secure liquidity management.

Sophic, a financial platform, plans to acquire a portion of the upcoming treasury bill issuance, replicating its strategy from June where it, alongside Athlos Capital, acquired over 80% of the €21.5 million issuance for client allocation.

Cyprus’ prudent financial management and structured approach towards funding reflect a robust fiscal framework aimed at maintaining economic stability and fostering investor confidence. This meticulous execution of the financing programme underscores Cyprus’ commitment to strategic fiscal governance and economic resilience, which are vital for sustaining long-term growth.

The ongoing success of Cyprus’ financing programme highlights the nation’s proactive fiscal planning and the effectiveness of its public debt management office. By securing diverse funding sources and maintaining investor engagement, Cyprus continues to bolster its financial stability and economic prospects.

As Cyprus progresses with its financing activities, the focus remains on sustaining fiscal discipline while leveraging favourable market conditions to optimise funding costs. This approach not only ensures the fulfilment of immediate financing needs but also lays a solid foundation for future economic resilience.

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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