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Four of the Strangest AI Moments in 2025

TIME - Tech

Pillay is an editorial fellow at TIME. Albania's new AI-generated minister Diella speaks during the parliamentary session for the voting of the new government of Albania, in Tirana on Sept. 18, 2025. Albania's new AI-generated minister Diella speaks during the parliamentary session for the voting of the new government of Albania, in Tirana on Sept. 18, 2025. Pillay is an editorial fellow at TIME. It's been three years since the launch of ChatGPT gave hundreds of millions of people access to a kind of digital genie in their pocket--and things have been getting stranger by the month. Besides billions of AI-generated emails and the technology's widespread disruption of education and cognitive work, in 2025, some people began to fall in love with their AIs.


Seven games, 20 goals, none conceded - England close in on perfection

BBC News

England have cruised through World Cup qualifying, winning all seven of their games and scoring 20 unanswered goals, setting several records and leaving them on the cusp of another. If Thomas Tuchel's team beat Albania in Sunday's final qualifier (17:00 GMT) and keep a clean sheet, they will become the first European side to play at least six qualifiers and win them all without conceding. A clean sweep of victories - regardless of goals conceded - is also a rare achievement. Excluding the early years of the World Cup, when teams often played just a handful of preliminary matches, only four European countries have finished with a 100% winning record. Germany were the last side to do so on the way to the 2018 tournament, though they went on to suffer a shock early exit in Russia.


Albania's digitally-created 'Minister for AI' is 'pregnant with 83 children', PM says

Daily Mail - Science & tech

This is why her and David Harbour's marriage REALLY ended': Following Lily Allen's'revenge album' against her ex-husband, his furious friends hit back at the'false' singer'A common medication sent my sex life roaring back... it's definitely not a rare side effect': Surprising ways women revived their flagging libidos - including a Netflix show dubbed'female Viagra' King Charles is heckled by Andrew protester shouting'how long have you known' - as he and Fergie prepare to leave Royal Lodge for separate houses Buffalo Bills suffer serious blow to Super Bowl hopes as star man Ed Oliver is ruled out'indefinitely' The NBA Mafia betting scandal is the tip of the iceberg. Now match-fixing expert speaks on wider web of sports shame... and who it implicates: 'Dancing with the devil' Woke Dem Jasmine Crockett's secret stock empire exposed - as she plots Senate run Anguish of mother whose son, four, and daughter, six, vanished in Nova Scotia woods six months ago... as cops reject claims a stranger abducted them This is exactly how to lose up to a stone by Christmas. My expert diet helps you slim while you sleep, won't leave you hungry - and no, you don't need Mounjaro or Ozempic! Trump ally and fellow real estate tycoon warns Zohran Mamdani will destroy NYC's housing market: 'That's not affordability, that's insanity' Bionic Woman actress Lindsay Wagner, 76, makes a rare appearance at fan event... see her now I wish my selfish sister had never been born. When she died at 33 after a life of hedonism, she became a saint in our family... I'll never forgive her for it Urgent warning to Gmail users as 183 MILLION passwords are stolen in data breach - here's how to check if your account is affected What HAS happened to Bradley Cooper's face?


The World's First AI-Powered Minister Tests the Future of Government

TIME - Tech

Pillay is an editorial fellow at TIME. Albania's new AI-generated minister Diella speaks during the parliamentary session for the voting of the new government of Albania, in Tirana, on September 18, 2025. Albania's new AI-generated minister Diella speaks during the parliamentary session for the voting of the new government of Albania, in Tirana, on September 18, 2025. Pillay is an editorial fellow at TIME. In September, Albania appointed an AI system to a cabinet-level position--a world-first. Called Diella (Albanian for "sun"), the system was declared "Minister of State for Artificial Intelligence," and tasked by Albania's Prime Minister with addressing corruption in government contracting.


Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations

Millo, Denisa, Vika, Blerina, Baci, Nevila

arXiv.org Artificial Intelligence

The financial sector, a pivotal force in economic development, increasingly uses the intelligent technologies such as natural language processing to enhance data processing and insight extraction. This research paper through a review process of the time span of 2018-2023 explores the use of text mining as natural language processing techniques in various components of the financial system including asset pricing, corporate finance, derivatives, risk management, and public finance and highlights the need to address the specific problems in the discussion section. We notice that most of the research materials combined probabilistic with vector-space models, and text-data with numerical ones. The most used technique regarding information processing is the information classification technique and the most used algorithms include the long-short term memory and bidirectional encoder models. The research noticed that new specific algorithms are developed and the focus of the financial system is mainly on asset pricing component. The research also proposes a path from engineering perspective for researchers who need to analyze financial text. The challenges regarding text mining perspective such as data quality, context-adaption and model interpretability need to be solved so to integrate advanced natural language processing models and techniques in enhancing financial analysis and prediction. Keywords: Financial System (FS), Natural Language Processing (NLP), Software and Text Engineering, Probabilistic, Vector-Space, Models, Techniques, TextData, Financial Analysis.


ChatGPT for iOS is now available in 11 more countries

Engadget

OpenAI first launched its ChatGPT iOS app across the US in mid-May and now it has made good on its promise to expand to more countries in the "coming weeks" by launching in 11 new countries. The countries are a global mix with iOS users in Albania, Croatia, France, Germany, Ireland, Jamaica, Korea, New Zealand, Nicaragua, Nigeria and the UK now able to access the app. The ChatGPT app for iOS is now available to users in 11 more countries -- Albania, Croatia, France, Germany, Ireland, Jamaica, Korea, New Zealand, Nicaragua, Nigeria, and the UK. The ChatGPT app works and looks like the website does with conversation history synced between the computer and iPhone. ChatGPT Plus subscribers can access GPT-4 through the app and receive faster responses.


Top-10 AI Startups in Central and Eastern Europe

#artificialintelligence

Some people think that "sustainable eating" means shopping exclusively at over-priced chains like Whole Foods but we're here to shut that myth down with two words – Almazan Kitchen. Who knew that a couple of Serbian guys cooking organic food in a forest with their pet owl could generate nearly 20 million views for a single video? Serbia is just one of many countries found in Central and Eastern Europe (CEE), a region that consists of relatively small countries that gained independence after the collapse of the Soviet Union around 1989. As these countries transformed into democratic states with capitalistic economies only 30 years ago, they had to overcome unique handicaps compared to more developed nations in Western Europe – like no organic grocery stores. Still, most of the region has registered rapid GDP growth over time that was only slowed by the global financial crisis of 2008.


Dynamic Bernoulli Embeddings for Language Evolution

Rudolph, Maja, Blei, David

arXiv.org Machine Learning

Word embeddings are a powerful approach for unsupervised analysis of language. Recently, Rudolph et al. (2016) developed exponential family embeddings, which cast word embeddings in a probabilistic framework. Here, we develop dynamic embeddings, building on exponential family embeddings to capture how the meanings of words change over time. We use dynamic embeddings to analyze three large collections of historical texts: the U.S. Senate speeches from 1858 to 2009, the history of computer science ACM abstracts from 1951 to 2014, and machine learning papers on the Arxiv from 2007 to 2015. We find dynamic embeddings provide better fits than classical embeddings and capture interesting patterns about how language changes.