Prolonged grief disorder affects around 1 in 20 people, and we're starting to understand the neuroscience behind it For most people, the intense sting of grief eases with time. For some, however, persistent and painful grief remains, developing into prolonged grief disorder. A new review of the condition, which affects around 5 per cent of bereaved people, sheds light on how it develops. This could help doctors predict which recently bereaved people will benefit from extra support. The decision to include prolonged grief disorder (PGD) in the American Psychiatric Association's diagnostic manual in 2022 sparked intense debate over whether it was pathologising a normal human response to loss and imposing an arbitrary timeline on what constitutes "normal" grief.

A new wave of theft is rocking the luxury car industry--mixing high-tech with old-school chop-shop techniques to snag vehicles while they're in transport. When Sam Zahr first saw the gray Rolls-Royce Dawn convertible with orange interior and orange roof, he knew he'd found a perfect addition to his fleet. "It was very appealing to our clientele," he told me. As the director of operations at Dream Luxury Rental, he outfits customers in the Detroit area looking to ride in style to a wedding, a graduation, or any other event with high-end vehicles--Rolls-Royces, Lamborghinis, Bentleys, Mercedes G-Wagons, and more. But before he could rent out the Rolls, Zahr needed to get the car to Detroit from Miami, where he bought it from a used-car dealer. His team posted the convertible on Central Dispatch, an online marketplace that's popular among car dealers, manufacturers, and owners who want to arrange vehicle shipments. It's not too complicated, at least in theory: A typical listing includes the type of vehicle, zip codes of the origin and destination, dates for pickup and delivery, and the fee. Anyone with a Central Dispatch account can see the job, and an individual carrier or transport broker who wants it can call the number on the listing. Zahr's team got a call from a transport company that wanted the job. They agreed on the price and scheduled pickup for January 17, 2025.

The government stripped the transparency amendment, which was backed by peers in the bill's reading in the House of Lords last week, out of the draft text by invoking financial privilege, meaning there is no budget available for new regulations, during a Commons debate on Wednesday afternoon. There were 297 MPs who voted in favour of removing the amendment, while 168 opposed. The data protection minister, Chris Bryant, told MPs that although he recognised that for many in the creative industries this "feels like an apocalyptic moment", he did not think the transparency amendment delivered the required solutions, and he argued that changes needed to be completed "in the round and not just piecemeal". Lady Kidron said: "The government failed to answer its own backbenchers who repeatedly asked'if not now then when?' and the minister replied with roundtable reviews and spurious problems about technical solutions. It is for government to set the laws and incentivise companies to obey it not run roundtables trying to work out technical solutions that they are not fit to provide. "It is astonishing that a Labour government would abandon the labour force of an entire sector.

The compound that was hit had been operated by UNRWA, the main U.N. body that aids Palestinians in Gaza. Philippe Lazzarini, the director of UNRWA, wrote on social media that 6,000 Palestinians had been sheltering in the school complex. Khalil Daqran, a spokesman for Al Aqsa Martyrs Hospital in the central Gaza city of Deir al Balah, said the bodies of at least 40 people killed in the attack had been brought to the hospital. At least some of the victims were women, children and older people, he added, although he declined to provide a precise figure. Colonel Lerner, the Israeli military spokesman, said he was "not aware of any civilian casualties" as a result of the strike. U.S. officials have been encouraging the Israeli military for months to use GBU-39s, which weigh at least 250 pounds, rather than larger 2,000-pound bombs because they are generally more precise.

The report, which describes the lengths OpenAI, Google and Meta have gone to in order to maximize the amount of data they can feed to their AIs, cites numerous people with knowledge of the companies' practices. It comes just days after YouTube CEO Neal Mohan said in an interview with Bloomberg Originals that OpenAI's alleged use of YouTube videos to train its new text-to-video generator, Sora, would go against the platform's policies. According to the NYT, OpenAI used its Whisper speech recognition tool to transcribe more than one million hours of YouTube videos, which were then used to train GPT-4. The Information previously reported that OpenAI had used YouTube videos and podcasts to train the two AI systems. OpenAI president Greg Brockman was reportedly among the people on this team.

Grammatical Error Correction (GEC) is the task of automatically detecting and correcting errors in text. The task not only includes the correction of grammatical errors, such as missing prepositions and mismatched subject-verb agreement, but also orthographic and semantic errors, such as misspellings and word choice errors respectively. The field has seen significant progress in the last decade, motivated in part by a series of five shared tasks, which drove the development of rule-based methods, statistical classifiers, statistical machine translation, and finally neural machine translation systems which represent the current dominant state of the art. In this survey paper, we condense the field into a single article and first outline some of the linguistic challenges of the task, introduce the most popular datasets that are available to researchers (for both English and other languages), and summarise the various methods and techniques that have been developed with a particular focus on artificial error generation. We next describe the many different approaches to evaluation as well as concerns surrounding metric reliability, especially in relation to subjective human judgements, before concluding with an overview of recent progress and suggestions for future work and remaining challenges. We hope that this survey will serve as comprehensive resource for researchers who are new to the field or who want to be kept apprised of recent developments.

ChatGPT, a large-scale language model based on the advanced GPT-3.5 architecture, has shown remarkable potential in various Natural Language Processing (NLP) tasks. However, there is currently a dearth of comprehensive study exploring its potential in the area of Grammatical Error Correction (GEC). To showcase its capabilities in GEC, we design zero-shot chain-of-thought (CoT) and few-shot CoT settings using in-context learning for ChatGPT. Our evaluation involves assessing ChatGPT's performance on five official test sets in three different languages, along with three document-level GEC test sets in English. Our experimental results and human evaluations demonstrate that ChatGPT has excellent error detection capabilities and can freely correct errors to make the corrected sentences very fluent, possibly due to its over-correction tendencies and not adhering to the principle of minimal edits. Additionally, its performance in non-English and low-resource settings highlights its potential in multilingual GEC tasks. However, further analysis of various types of errors at the document-level has shown that ChatGPT cannot effectively correct agreement, coreference, tense errors across sentences, and cross-sentence boundary errors.

Any serious baseball fan should be familiar with the name Kris Bryant. It's obvious that he's a force to be reckoned with on the diamond given his résumé, which also includes three All-Star appearances, the World Series championship, and the National League Rookie of the Year honor. The range of Bryant's accomplishments, though, is what really stands out on his résumé. He has quickly established himself as one of the top players in the league because to a unique blend of strength, speed, and defensive prowess. How, therefore, did he accomplish all of this so quickly? Simple: put in the effort and show commitment.

These days, it's hard to go anywhere without encountering artificial intelligence (AI). Predictive text offers to finish our web searches and our text messages. AI learning-based software can produce everything from research papers to poetry, solving complex math equations to writing computer code. AI can be used to write algorithms, collect data on which areas experience the most gun violence and dictate which neighborhoods receive access to vital resources. This year, five students who make up the 2022-24 Lender Center for Social Justice Fellowship Project will set out to investigate how AI weapons systems transform war and surveillance, and they will also analyze how AI accentuates our social and political vulnerabilities to violence.

If you ask Alexa, Amazon's smart speaker, that she is spying on you. She replies, "I only send audio back to Amazon when I hear you say the wake word. For more information and to view Amazon's privacy notice, visit the help section of your Alexa app." This reply sounds so naive and gives little hint of the sea of data Amazon's smart speaker captures and stores. To understand the data collection size of'Echo' speaker, Dave Bryant, who has created and sold a multi-million dollar e-commerce store, requested all of his personal data from Amazon.