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Cyprus Industrial Production Falls 4.9% In November Amid Sectoral Shifts

Industrial production in Cyprus declined by 4.9% in November 2024, with the Industrial Production Index dropping to 102.7 units (base 2021=100), according to data released by the Cyprus Statistical Service on Thursday.

A major contributing factor to the decline was a 44.2% drop in the manufacturing of non-metallic mineral products, largely impacted by a strike in the ready-mix concrete sector that lasted from early November to early December.

Manufacturing And Mining Suffer, Utilities Show Growth

The manufacturing sector recorded a 6.1% year-on-year decline in November, while mining and quarrying saw an even sharper contraction of 23.6%. Conversely, some industries posted gains, with water supply and materials recovery increasing by 11.4%, and electricity supply rising slightly by 0.7%.

Within manufacturing, the strongest growth came from machinery and equipment production, including motor vehicles and transport equipment (up 13.7%), rubber and plastic products (up 7.5%), and electronic and optical products (up 6.9%).

However, significant downturns were observed in non-metallic mineral products (down 44.2%), paper products and printing (down 18%), and furniture manufacturing and machinery repair/installation (down 14.4%).

Year-to-Date Performance Shows Overall Growth

Despite November’s decline, industrial production for the period January–November 2024 remained positive, registering a 2.8% increase compared to the same period in 2023.

The most notable year-to-date growth was recorded in water collection, treatment, and supply (up 22.8%), electronic and optical products manufacturing (up 12.2%), and machinery and transport equipment production (up 9.9%). Mining and quarrying, which showed a steep drop in November, still recorded an 8% increase over the 11 months.

On the downside, paper products and printing (down 11.7%), non-metallic mineral products (down 4.9%), and textiles, apparel, and leather goods manufacturing (down 4.5%) were among the hardest-hit industries.

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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