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Biohacker Bryan Johnson reveals the best way to drink coffee to increase your lifespan

Daily Mail - Science & tech

New York's new mayor Zohran Mamdani tells Trump'I have four words for you' in blistering victory speech quoting his socialist hero, bragging about'toppling a dynasty' and promising a'new dawn' This Leftist election landslide was caused by the same vile disease that's triggered a GOP civil war. Why Mamdani's socialist revolution in New York has sparked a civil war for Democrats... and Trump is secretly loving it Simone Biles details all the plastic surgery she's had after her boob job this summer Hollywood A-listers may be blacklisted for'antisemitism' under Paramount's new anti-woke leadership Prince Harry issues defiant statement as he denies claims he was trying to upstage William by announcing pseudo-royal Canada trip at same time as his brother's five-day tour of Brazil Inside Kate and William's forever home: Princess is kitting out Forest Lodge in her preferred'classic contemporary style' to create a'lovely but absolutely inoffensive' look REVEALED: Fattest states in America ranked... including region where three-quarters of residents are obese I was so desperate for a baby I stole sperm from my husband's condom: It's the most shocking confession. Now for the first time LIZ JONES tells what happened next... and the consequence no one saw Texas teen'tears masterpiece from wall at the Met in unhinged meltdown' before being handed in by his MOTHER Amazon signals it's finally fed up with Whole Foods' sluggish sales - and is making sweeping, controversial changes Coffee is something biohacker Bryan Johnson swore off years ago in a bid to improve his health. But it appears a new study has caused the 48-year-old, who claims to be more than a decade younger biologically than his actual age, to rethink his stance on caffeine. In a new video, Johnson highlighted findings from Tulane University in Louisiana that showed coffee drinkers had a 16 percent lower risk of death from any cause and a 31 percent lower risk of cardiovascular disease compared to non-coffee drinkers.


'My skin was peeling' - the African women tricked into making Russian drones

BBC News

'My skin was peeling' - the African women tricked into making Russian drones On her first day of work, Adau realised she had made a big mistake. We got our uniforms, not even knowing exactly what we were going to do. From the first day of work we were taken to the drones factory. We stepped in and we saw drones everywhere and people working. Then they took us to our different work stations.


Russia-Ukraine war: List of key events, day 1,350

Al Jazeera

Is Trump losing patience with Putin? Will sanctions against Russian oil giants hurt Putin? Russian and Ukrainian troops have fought battles in the ruins of Pokrovsk, a transport and logistics hub in eastern Ukraine, with Ukraine's military reporting fierce fighting under way in a part of the city that was key for Kyiv's front-line logistics. Ukrainian President Volodymyr Zelenskyy said he visited troops fighting near the eastern city of Dobropillia, where Ukrainian forces are conducting a counteroffensive against Russian troops. Russia struck civilian energy and port infrastructure in a massive overnight drone attack on Ukraine's southern region of Odesa, the region's governor said in a post on the Telegram messaging app, adding that rescuers extinguished fires and there were no casualties.


Tesla says Musk should be paid 1tn - will shareholders agree?

BBC News

It's not clear that everyone is singing from the same hymn sheet though, meaning the AGM in Austin, Texas is set to become a referendum on Musk himself, after a rightward political turn which has made him one of the most polarising chief executives in recent memory. Musk himself has taken to X - which he owns - to raise the stakes higher still, saying the fate of Tesla could affect the future of civilization. He's also used his social media megaphone to amplify some of the deal's high-profile backers, including Dell Technologies' Michael Dell, Ark Invest CEO Cathie Wood, and his brother, Kimbal, who sits on the Tesla board. There is no one remotely close to my brother, Kimbal said, extolling his sibling's leadership qualities.


Mystery of the 'golfer's curse' is SOLVED: Scientists pinpoint why golf balls 'lip out' after appearing to enter the hole

Daily Mail - Science & tech

Now he's dead, here's the full story of what happened that day... and the ghastly aftermath no one knows about Wake up and see he's the master of the dark arts: MEGYN KELLY blows the lid on the REAL Mamdani... how are they missing this? 'Screaming' Sydney Sweeney'hates' that she was caught hiding in ex-fiancรฉ's car: Now insiders spill truth about backseat rendezvous and lingering'frustrations' Mom is an Oscar winner who has acted with Selena Gomez and Nicole Kidman, who is this nepo kid who came out last year? Bella Thorne continues swimsuit season as she works sexy bikini for Los Cabo trip with her'love' Mark Emms Experts pinpoint typical life expectancy from initial dementia diagnosis - and there's a huge variation between different subtypes Diddy's male prison protector unmasked: How disgraced mogul has repaid him... and turned to God for repentance Teachers threatened over bloody'Problem Solved' T-shirts over claims they mocked murder of Charlie Kirk Astonishing moment Miss Universe winner storms out of this year's event after pageant president reprimands Miss Mexico and tells security to remove her for not showing'respect' Mystery of the'golfer's curse' is SOLVED: Scientists pinpoint why golf balls'lip out' after appearing to enter the hole READ MORE: Golf balls are a'product of colonial exploitation', exhibition says Experts have finally solved the mystery of one of the most infuriating occurrences in golf - the dreaded lip out. The phenomenon occurs when the golf ball appears to enter the hole, only to immediately pop back out again. Scientists have finally pinpointed the physics behind the'curse', which has plagued everyone from amateur hobbyists to PGA professionals. Best of all, they've revealed the best way to avoid it - keeping your score intact.


AI 'godmother' Fei-Fei Li says she is 'proud to be different'

BBC News

AI'godmother' Fei-Fei Li says she is'proud to be different' The'godmother' of AI, Professor Fei-Fei Li has told the BBC that being the only woman amongst seven pioneers of artificial Intelligence being presented with a top engineering prize by the King today makes her proud to be different. The King will present the 2025 Queen Elizabeth Prize for Engineering to Prof Li and six others during a ceremony at St James's Palace. Those honoured alongside her are Prof Yoshua Bengio, Dr Bill Dally, Dr Geoffrey Hinton, Prof John Hopfield, Nvidia founder Jensen Huang and Meta's Chief AI Scientist Dr Yann LeCun. They are being recognised for their contributions to the development of modern machine learning, a field that underpins the rapid advancement of AI. Who are the Godparents of AI? Dr Hinton, Prof Bengio and Yann LeCun, currently Chief AI Scientist at Meta have widely been recognised as the Godfathers of AI since they were jointly awarded the 2018 Turing Award.


Britain sliding 'into economic crisis' over 85bn sickness bill

BBC News

The number of sick and disabled people out of work is putting the UK is at risk of an economic inactivity crisis that threatens the country's prosperity, according to a new report. There were 800,000 more people out of work now than in 2019 due to health conditions, costing employers ยฃ85bn a year, according to the review by former John Lewis boss Sir Charlie Mayfield. The problem could worsen without intervention, but Sir Charlie, who will lead a taskforce aimed at helping people return to work, said this was not inevitable. The move has been broadly welcomed, but some business groups said Labour's Employment Rights Bill included some disincentives to hiring people with existing illnesses. One in five working age people were out of work, and not seeking work, according to the report, which was commissioned by the Department for Work and Pensions by produced independently.


AI study gives insights into why super-recognisers excel at identifying faces

The Guardian

Research has suggested super-recognisers look at more areas across a face than typical people. Research has suggested super-recognisers look at more areas across a face than typical people. Research uses eye-tracking data to examine some people's extraordinary recognition ability They have been used in the search for the Salisbury novichok poisoners, finding murder suspects and even spotting sexual predators. Now, research has revealed fresh insights into why super-recognisers are so good at identifying faces. Previous research has suggested people with an extraordinary ability to recognise people look at more areas across a face than typical people.


Beyond the Link: Assessing LLMs' ability to Classify Political Content across Global Media

arXiv.org Artificial Intelligence

The use of large language models (LLMs) is becoming common in political science and digital media research. While LLMs have demonstrated ability in labelling tasks, their effectiveness to classify Political Content (PC) from URLs remains underexplored. This article evaluates whether LLMs can accurately distinguish PC from non-PC using both the text and the URLs of news articles across five countries (France, Germany, Spain, the UK, and the US) and their different languages. Using cutting-edge models, we benchmark their performance against human-coded data to assess whether URL-level analysis can approximate full-text analysis. Our findings show that URLs embed relevant information and can serve as a scalable, cost-effective alternative to discern PC. However, we also uncover systematic biases: LLMs seem to overclassify centrist news as political, leading to false positives that may distort further analyses. We conclude by outlining methodological recommendations on the use of LLMs in political science research.


Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models

arXiv.org Artificial Intelligence

This study investigates zero-shot forecasting capabilities of Time Series Foundation Models (TSFMs) for macroeconomic indicators. We apply TSFMs to forecasting economic indicators under univariate conditions, bypassing the need for train bespoke econometric models using and extensive training datasets. Our experiments were conducted on a case study dataset, without additional customisation. We rigorously back-tested three state-of-the-art TSFMs (Chronos, TimeGPT and Moirai) under data-scarce conditions and structural breaks. Our results demonstrate that appropriately engineered TSFMs can internalise rich economic dynamics, accommodate regime shifts, and deliver well-behaved uncertainty estimates out of the box, while matching state-of-the-art multivariate models on this domain. Our findings suggest that, without any fine-tuning, TSFMs can match or exceed classical models during stable economic conditions. However, they are vulnerable to degradation in performances during periods of rapid shocks. The findings offer guidance to practitioners on when zero-shot deployments are viable for macroeconomic monitoring and strategic planning.