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Cyprus Securities Exchange To Initiate Monetary Settlement For Electricity Market Transactions

Overview

Effective October 2, 2025, the Cyprus Securities Exchange (CSX) will commence the monetary settlement of transactions arising from clearings in the Competitive Electricity Market via the Target system. This strategic move marks a significant step forward in the integration of energy and financial markets in Cyprus.

Strategic Partnerships and Technological Advancements

In a formal announcement, CSX detailed its role as the designated settlement entity for the Cyprus Transfer System Operator (TSO). Under a structured agreement, CSX will manage monetary settlement services as well as risk management for transactions generated in the market. The exchange has collaborated closely with the TSO and other key market participants to implement the necessary legal and technical modifications across its settlement and risk management systems.

Guarantee Collection and Market Preparedness

Reflecting its commitment to operational excellence, CSX has already computed and collected the mandatory guarantees from market participants, effective from September 30, 2025, thereby securing a sound operational foundation prior to the market launch. This proactive measure underscores a broader effort to fortify the market and instill investor confidence in its infrastructure.

Proven Track Record in the Energy Sector

For several years, CSX has played an integral role in the energy sector. Notably, it facilitates transactions for the Republic of Cyprus as the auctioneer for Greenhouse Gas Emission Rights and supports the trading of specially structured green bonds. Moreover, CSX holds a 10% stake in the Athens Stock Exchange’s Energy Group, further solidifying its influential presence in the regional energy markets.

Conclusion

The successful preparation and implementation of these initiatives are a testament to CSX’s forward-thinking approach and robust collaboration with industry stakeholders. This development is poised to enhance market efficiency and pave the way for future innovations at the intersection of energy and finance.

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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