Finance Minister Backs Customs Enforcement Reforms

by THEFUTURE.TEAM

February 2, 2026

Effective Enforcement Inspires Confidence

Finance Minister Makis Keravnos has publicly expressed his satisfaction with the consistent achievements of the Customs Department at the nation’s entry and exit points. These successes encompass airports, seaports, and strategically critical checkpoints along the “green line,” underscoring the administration’s proactive stance on border enforcement.

Precision And Professionalism On The Frontline

In an official statement, the Minister highlighted that the identification and seizure of numerous contraband goods validate the effectiveness of the state’s targeted measures. He emphasized that such results are a testament to both the professionalism and dedication of customs officials. This rigorous approach ensures that smuggled merchandise is intercepted before it reaches free zones without the requisite tax contributions.

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Strategic Policy And Coordinated Action

Further detailing the effort, the Minister noted that intensifying controls at access points associated with occupied territories and the subsequent confiscation of substantial quantities of illegally imported products is central to the government’s broader anti-smuggling strategy. A recent significant seizure, detailed in an official report, underscores the decisive measures adopted by the Finance Ministry and the Customs Department.

Commitment To Fair Trade And Public Welfare

The government remains steadfast in its commitment to advancing the operational capabilities of the Customs Department. By bolstering enforcement at traditional transit points and within free zones, it aims to ensure adherence to trade regulations, maintain public health standards, and safeguard public revenues. This balanced strategy not only promotes lawful commerce but also reinforces the overall integrity of national economic policies.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

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.

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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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