What to know about Germany's drone attack accusations against Russia Share What to know about Germany's drone attack accusations against Russia on social media Germany has formally accused Russia of attempting an attack last month at the Leipzig-Halle airport, a state-owned facility in the eastern part of the country. On Tuesday, German Interior Minister Alexander Dobrindt said his country's intelligence community had determined that a drone discovered at the airport was consistent with Russian technology. The drone had been bearing explosives, according to official reports. The incident is seen as part of a growing trend in Europe, where officials fear Russia is mounting a campaign of intimidation against members of the NATO military alliance. What was found at the Leipzig airport?

The German government has accused Russia of being behind an attempted drone attack on a major regional airport last month. Interior Minister Alexander Dobrindt said on Tuesday that the attempted attack on Leipzig/Halle Airport in eastern Germany using a drone laden with explosives fits a known pattern of "Russian hybrid operations". "Taken together, police investigations, patterns of the offences and intelligence findings establish Russian responsibility for the attempted attack," he said, standing alongside Foreign Minister Johann Wadephul. The drone was found at the airport near a Ukrainian plane on the evening of August 4 and defused. The findings were announced as several European countries that are providing Ukraine with support as it defends itself against Russia's invasion have reported an increase in sabotage attacks and attempts that they blame on Russia.

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Official court press releases from Germany's highest courts present and explain judicial rulings to the public, as well as to expert audiences. Prior NLP efforts emphasize technical headnotes, ignoring citizen-oriented communication needs. We introduce CourtPressGER, a 6.4k dataset of triples: rulings, human-drafted press releases, and synthetic prompts for LLMs to generate comparable releases. This benchmark trains and evaluates LLMs in generating accurate, readable summaries from long judicial texts. We benchmark small and large LLMs using reference-based metrics, factual-consistency checks, LLM-as-judge, and expert ranking. Large LLMs produce high-quality drafts with minimal hierarchical performance loss; smaller models require hierarchical setups for long judgments. Initial benchmarks show varying model performance, with human-drafted releases ranking highest.

The Munich court found that OpenAI, the maker of ChatGPT, was not entitled to use song lyrics to train its artificial intelligence without licenses, and that the artists who wrote them are entitled to compensation. The Munich court found that the maker of ChatGPT was not entitled to use song lyrics to train its artificial intelligence without licenses, and that the artists who wrote them are entitled to compensation. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right. With your current subscription plan you can comment on stories.

Songs used by ChatGPT included Herbert Grönemeyer's 1984 synth-pop sendup of masculinity, ' (Men). Songs used by ChatGPT included Herbert Grönemeyer's 1984 synth-pop sendup of masculinity, ' (Men). OpenAI ordered to pay undisclosed damages for training its language models on artists' work without permission The Munich regional court sided in favour of Germany's music rights society GEMA, which said ChatGPT had harvested protected lyrics by popular artists to "learn" from them. The collecting society GEMA, which manages the rights of composers, lyricists and music publishers and has approximately 100,000 members, filed the case against OpenAI in November 2024. The lawsuit was seen as a key European test case in a campaign to stop AI scraping of creative output.

Flights have resumed at Germany's Munich airport after unconfirmed drone sightings forced it to suspend operations for the second time in 24 hours. In a statement on Friday evening, the airport said that flights were stopped at 21:30 local time (20:30 GMT), with around 6,500 passengers affected. At least 17 flights were also grounded in Munich on Thursday evening due to multiple drone sightings in nearby airspace. It was the latest in a series of incidents involving drones that have disrupted aviation in Europe in recent weeks. On Saturday morning, Munich airport said flights had been gradually ramped up, but warned that delays were expected throughout the day.

The clash between billionaire Elon Musk's xAI empire and European officials is intensifying with leaders in Poland and Germany calling for more aggressive action against the company. German lawmaker Ralf Stegner, responding to antisemitic comments that xAI's chatbot Grok made Tuesday on Musk's social media platform, X, said the posts "must not be tolerated under any circumstances" and called for sanctions in an interview with the German newspaper Handelsblatt. Poland's government separately urged the European Union to investigate and possibly fine xAI following lewd comments made by Grok about the country's politicians. The European Union is already investigating Musk's social media platform under a relatively new content-moderation policy known as the Digital Services Act and had been weighing a fine ahead of its summer recess in August. The regulator is reportedly considering calculating the fine by including revenue from Musk's other businesses, including SpaceX and Neuralink, an approach that would significantly increase the potential penalties.

Ukrainian President Volodymyr Zelenskyy is set to meet with German Chancellor Friedrich Merz, as Ukraine seeks further military support amid a recent escalation in Russia's bombing campaign, despite United States-led efforts to end the war. During their talks in Berlin on Wednesday, Zelenskyy and Merz are also expected to discuss sanctions on Russia. According to a German government spokesperson, Merz will receive Zelenskyy with military honours at the federal chancellery at 10:00 GMT. The Berlin talks follow Russia and Ukraine's direct face-to-face talks in Turkiye earlier in May. Despite pressure from United States President Donald Trump to end the war, the talks failed to produce a ceasefire agreement.

Faithfulness evaluators based on large language models (LLMs) are often fooled by the fluency of the text and struggle with identifying errors in the summaries. We propose an approach to summary faithfulness evaluation in which multiple LLM-based agents are assigned initial stances (regardless of what their belief might be) and forced to come up with a reason to justify the imposed belief, thus engaging in a multi-round debate to reach an agreement. The uniformly distributed initial assignments result in a greater diversity of stances leading to more meaningful debates and ultimately more errors identified. Furthermore, by analyzing the recent faithfulness evaluation datasets, we observe that naturally, it is not always the case for a summary to be either faithful to the source document or not. We therefore introduce a new dimension, ambiguity, and a detailed taxonomy to identify such special cases. Experiments demonstrate our approach can help identify ambiguities, and have even a stronger performance on non-ambiguous summaries.