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€22 Million Mixed-Use Tower Planned In Neapolis, Limassol

This new €22 million mixed-use tower is set to transform Limassol’s Neapolis area, marking a significant investment in the city’s emerging skyline. Developed by P.G. Economides Properties Ltd, the project has secured Environmental Authority approval and is poised to commence a 28‐month construction phase following permit issuance.

Project Overview

The development will be built on a 3,123 square metre plot along 28 October Avenue, one of Limassol’s main coastal roads. According to the environmental assessment study, the tower will reach a height of about 87 metres. The building will include a ground floor, mezzanine level, 18 upper floors, a roof garden, and two underground levels primarily used for parking and service areas. The project is designed to accommodate both office and commercial activities.

Design And Layout

The two basement levels will cover approximately 4,780 square metres and will mainly serve as parking and support areas. The ground floor, with an area of about 651 square metres, will include a reception area, dining space, and additional parking facilities.

A mezzanine level will provide extra space for dining and terrace seating. The upper floors will be used primarily for office space, with a total office area of approximately 7,470 square metres. Certain levels will also include shared facilities as well as areas designated for events and reception functions.

The roof garden will include landscaped areas together with shared spaces and technical infrastructure.

Strategic Location And Connectivity

The tower will be located in a mixed-use urban zone that already includes residential buildings, offices, and tourism-related businesses along Limassol’s seafront.

Access to the site will be provided through Dandi Street to the east and Raphael Street to the north. The location also offers proximity to Griva Digeni Avenue and nearby commercial landmarks, including the Oval building. The Vathia Potamos area is located approximately 77 metres to the east of the site.

Parking And Accessibility

In addition to the extensive parking accommodations offering 146 parking spaces (including provisions for persons with disabilities), the project also supports alternative transportation needs, featuring dedicated spaces for 20 bicycles and 15 mopeds. Such forward-thinking planning reinforces the development’s commitment to accessibility and urban mobility.

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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