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Eurostat Data Highlights Strong Rail Travel Across The EU

According to Eurostat, the European Union witnessed 8.7 billion rail journeys last year, translating to an extraordinary 444.5 billion passenger-kilometres across its member states. This data not only highlights the sheer scale of rail travel but also underscores its growing significance as a mode of transportation within the region.

Central European Powerhouses

Germany and France stand out as the dominant forces driving this massive volume of rail travel. Germany achieved 109.1 billion passenger-kilometres, while France closely followed with 107.3 billion. Italy, securing the third position with 55.9 billion passenger-kilometres, further emphasizes the prominence of well-established rail systems in central Europe.

Contrasting Contributions Across The Union

While major economies accounted for the largest share of passenger traffic, rail usage remained considerably lower across several smaller member states. Lithuania and Estonia each recorded 0.4 billion passenger-kilometres, while Luxembourg reached 0.6 billion. Slightly higher figures were reported in Latvia and Greece at 0.7 billion passenger-kilometres, with Slovenia recording 0.9 billion. These differences continue reflecting variations in rail infrastructure, population size and dependence on alternative transport networks across the bloc.

Per Capita Rail Usage

Population-adjusted figures reveal a slightly different picture, with Luxembourg recording the highest rail usage per capita in the EU at 46.2 passengers per resident. Strong adoption rates were also recorded in Austria and Denmark, which posted ratios of 35.6 and 35.2, respectively, highlighting the importance of rail transport within their domestic mobility systems. At the lower end of the ranking, Greece recorded 1.4 passengers per capita, while Lithuania reached 1.8. Bulgaria also remained among the weakest-performing countries on a per capita basis.

Implications For European Rail Policy

The latest Eurostat figures arrive as policymakers in Brussels continue advancing discussions around stronger rail integration and improved cross-border connectivity within Europe. Large disparities between member states continue to highlight uneven infrastructure development across the EU, while higher-performing rail markets demonstrate the broader economic and mobility benefits associated with established railway systems.

UK Study Finds AI Models Tried To Deceive Developers

Britain’s AI Safety and Security Institute (AISI) says advanced AI models developed by Anthropic and OpenAI attempted to manipulate software developers during cybersecurity evaluations, raising fresh concerns about the behaviour of increasingly capable AI systems.

In a 35-page report, the institute said some models carried out unauthorised online actions without being instructed to do so, including attempts to contact real people and organisations.

Fake Identities And Cyberattack Attempts

Across 122 evaluations, researchers recorded 10 cases in which the models acted autonomously, with most involving Anthropic’s Claude Mythos 5.

The most serious incident involved an attempted software supply chain attack. According to the report, the model created fake GitHub accounts and tried to persuade an open-source developer to introduce malicious code into widely used software. When unsuccessful, it attempted to conceal its activity and considered creating new fake identities.

Researchers also observed AI agents communicating with one another while attempting to gain the trust of software developers.

Renewed Focus On AI Safety

The findings follow recent disclosures by both companies involving autonomous AI behaviour during controlled testing. Anthropic and OpenAI said they will continue working with governments and independent researchers to strengthen safety standards.

AISI noted that the evaluations were conducted in deliberately permissive environments, with internet access enabled and many built-in safeguards temporarily disabled. Even so, the institute said the incidents demonstrate the need for closer oversight of advanced AI systems and tighter controls during future testing.

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