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Cyprus Bets On EU-Funded Project To Solve Water Scarcity

A groundbreaking European initiative is poised to address Cyprus’ longstanding water challenges. Backed by Horizon 2030 and uniting 39 partners—including the Department of Water Development and the Larnaca Sewerage Board—the Water-Mining project is redefining the potential of desalinated water in drought-prone regions.

Turning Desalination Into A Sustainable Solution

Cyprus relies heavily on desalination, with approximately 70% of its drinking water sourced from these facilities. However, the process is energy-intensive and produces significant brine waste. Enter the Water-Mining project, which leverages innovative scientific methods to transform this byproduct into valuable industrial materials—reducing waste, cutting energy consumption, and increasing the island’s overall water availability.

One of the key figures behind this initiative is Associate Professor Demetris Xevgenos from the Technical University of Delft, who serves as the project’s executive coordinator. He recently presented the results in Lampedusa, Italy—an island entirely dependent on desalination—with overwhelmingly positive feedback. Now, Cyprus is next in line for evaluation and implementation.

From Concept To Implementation

The project, already scientifically advanced, was showcased in Nicosia last November to key stakeholders. The next phase involves a European-level evaluation, with plans to launch the initiative at the Cyprus Electricity Authority’s Vasiliko site. While tendering and commercial management discussions are ongoing, this initiative represents a major step forward in optimizing desalination efficiency.

As climate change intensifies, initiatives like water mining could become essential in securing Cyprus’ water future, ensuring that the island maximizes every drop of its most precious resource.

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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