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'Obvious markers of AI': doubts raised over winner of short story prize

The Guardian

The Commonwealth Foundation said all entrants to the prize had avowed that their submissions were their own work. The Commonwealth Foundation said all entrants to the prize had avowed that their submissions were their own work. 'Obvious markers of AI': doubts raised over winner of short story prize Granta publisher says'perhaps we never will know' true authorship of work that won Commonwealth prize A few syntactical tics - and the verdict of an AI detection platform - have sparked a furore over the possibility that a short story given a prestigious literary award was written by AI. The foundation that awarded the prize and Granta, the magazine that published the winning story, said they had considered the allegations but had not reached a conclusion as to whether they were true. "It may be that the judges have now awarded a prize to an instance of AI plagiarism - we don't yet know, and perhaps we never will know," the publisher of Granta, Sigrid Rausing, said.


The Download: a Nobel winner on AI, and the case for fixing everything

MIT Technology Review

Plus: the first zero-day exploit built by AI has been discovered. A few months before he won the Nobel Prize in economics in 2024, Daron Acemoglu published a paper that earned him few fans in Silicon Valley. He argued that AI would give only a small boost to US productivity and would not eliminate the need for human work. Two years later, Acemoglu's measured take has not caught on. The technology has advanced quite a bit since his cautious predictions, but the data is still largely on his side. Here are the three things Acemoglu is paying closest attention to in AI right now .


Can Causal Discovery Algorithms Help in Generating Legal Arguments?

arXiv.org Machine Learning

In 2011, Judea Pearl received the Turing Award, considered the Nobel Prize in Computing, for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning. It includes pioneering the development of causal discovery algorithms. These computer algorithms can analyze large multivariate datasets and automatically discover the causal relationships among the constituent variables. They have been widely used in many critical fields such as medicine and economics to support decisions. However, to our knowledge, they have not been leveraged in law. This paper attempts to alleviate this gap by investigating whether causal discovery algorithms can be leveraged for automated generation of legal arguments. To that end, a novel legal dataset is prepared by identifying 17 legal concepts, such as physical assault and property dispute. A curated collection of 150 homicide cases are annotated with these concepts, e.g., a case is annotated with physical assault only if a physical assault had been reported in that case. Subsequently, a selected set of widely-used causal discovery algorithms is applied to the annotated dataset to discover the causal relationships between the legal concepts. Additionally, the degrees of belief associated with the discovered relationships are quantified in mathematical probabilities. It is shown that some of the causal relationships help generate viable legal arguments, e.g., if one could establish that a physical assault has not taken place during a homicide, it should be a sufficient condition (with probability 1) to establish that the homicide has not been committed due to a property-related dispute. Thus, this paper shows that causal discovery algorithms can be helpful in generating legal arguments, opening up avenues for promising future endeavors.


18 silly finalists from the Comedy Wildlife People's Choice Awards

Popular Science

And your prestigious winner is...*drumroll please*...a bird with grass on its face. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Now which direction is my nest? Breakthroughs, discoveries, and DIY tips sent six days a week. The people have spoken chuckled.


16 award-winning photographs from around the world

Popular Science

The Sony World Photography Awards announced the winning and shortlisted photographers of the 2026 National and Regional Awards . Captured during a dive in the Galรกpagos Islands, the image reveals the predator's agility against the fluid patterns of the fish, providing a raw look at the survival instincts, and the high-energy interactions that define this unique volcanic ecosystem. Breakthroughs, discoveries, and DIY tips sent six days a week. From a solitary leopard in Botswana to a herd of buffaloes in Sri Lanka, and a church in Slovenia to a rocky landscape in Saudi Arabia, beauty exists in all corners of our humble planet. The Sony World Photography Awards celebrates photographers who capture riveting images around the world in its 2026 National and Regional Awards.


A Quantum Leap for the Turing Award

WIRED

Charles Bennett and Gilles Brassard pioneered quantum information theory. Now they've been awarded the highest honor in computer science. Today it's widely acknowledged that the future of computing will involve the quantum realm . Companies like Google, Microsoft, IBM, and a few well-funded startups are frantically building quantum computers and routinely claiming advances that seem to bring this exotic, world-changing technology within reach. In 1979 all of this was unthinkable.


From Visual Question Answering to multimodal learning: an interview with Aishwarya Agrawal

AIHub

You were awarded an Honourable Mention for the 2019 AAAI / ACM SIGAI Doctoral Dissertation Award. What was the topic of your dissertation research, and what were the main contributions or findings? My PhD dissertation was on the topic of Visual Question Answering, called VQA. We proposed the task of open-ended and free-form VQA - a new way to benchmark computer vision models by asking them questions about images. We curated a large-scale dataset for researchers to train and test their models on this task.


Congratulations to the #AAAI2026 award winners

AIHub

A number of prestigious AAAI awards were presented during the official opening ceremony of the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026) in Singapore, on Thursday 22 January. The AAAI Award for Artificial Intelligence for Humanity recognises the positive impacts of artificial intelligence to protect, enhance, and improve human life in meaningful ways with long-lived effects. The winner of this year's award is Shakir Mohamed Shakir has been recognised for . The Robert S. Engelmore Memorial Award recognises outstanding contributions to automated planning, machine learning and robotics, their application to real-world problems and extensive service to the AI community. The annual AAAI/EAAI Outstanding Educator award was created to honour a person (or group of people) who has made major contributions to AI education that provide long-lasting benefits to the AI community and society as a whole.


The only person to win an Olympic medal and a Nobel Peace Prize

Popular Science

Philip Noel-Baker ran middle-distance races at the Olympics before dedicating his life to disarmament. In 1959, Philip Noel-Baker became the only person to ever win both an Olympic medal and Nobel Pease Prize. Breakthroughs, discoveries, and DIY tips sent six days a week. The serious son of Quaker parents, Philip Noel-Baker was first a scholar, then an Olympian, and finally a Nobel Peace Prize winner. He is the only person ever to have won both an Olympic medal and a Nobel.


Congratulations to the #AAAI2026 outstanding paper award winners

AIHub

We consider the problem of modifying a description logic concept in light of models represented as pointed interpretations. We call this setting model change, and distinguish three main kinds of changes: eviction, which consists of only removing models; reception, which incorporates models; and revision, which combines removal with incorporation of models in a single operation. We introduce a formal notion of revision and argue that it does not reduce to a simple combination of eviction and reception, contrary to intuition. We provide positive and negative results on the compatibility of eviction and reception for EL-bottom and ALC description logic concepts and on the compatibility of revision for ALC concepts.