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Cyprus Unveils €363 Million Grant Initiative To Propel Sustainable Business Growth

Strategic Investment In Business Liquidity

Cyprus has embarked on a transformative funding initiative, allocating €363 million through targeted grant schemes to boost business liquidity and enhance access to finance. Energy Minister Michalis Damianos announced the measure, emphasizing its strategic importance in strengthening entrepreneurship while steering the country toward sustainable growth.

Leveraging European Programmes

During the Cyprus Entrepreneurship Competition at the 10th Annual Innovation and Entrepreneurship Forum hosted by the Anastasios Leventis Council and the University of Cyprus, Minister Damianos detailed the funding structure. Of the total €363 million, €226 million is drawn from the THALEIA programme under the 2021–2027 framework, with the remaining €137 million supported by the European Union’s Recovery and Resilience Facility and the REPowerEU plan.

Driving Digitalization And Sustainability

The governmental schemes are crafted to encourage investments in sustainability, digital transformation, and technology adoption. Minister Damianos noted that the shift towards sustainable business models, coupled with accelerated digitalization, is central to modernizing the Cypriot economy. This strategic focus not only boosts competitiveness but also fosters a resilient and forward-thinking business environment.

Empowering Emerging Entrepreneurs

Beyond financial support, the initiative reinforces the importance of nurturing entrepreneurial talent. The Cyprus Entrepreneurship Competition serves as a catalyst, cultivating creativity and equipping participants with critical skills for advancing their ideas. Minister Damianos underscored the necessity of clear guidance and accessible tools, particularly for young entrepreneurs eager to innovate and shape their professional futures.

Commitment To A Future-Ready Economy

Embracing initiatives that fuel innovation and entrepreneurial spirit, the government is committed to building a dynamic and outward-focused business ecosystem. “Through our actions, we seek to empower people who dare to think differently and shape the future,” stated Minister Damianos, affirming the continuous evolution of programmes designed to maintain a competitive market environment.

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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