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Netflix greenlights doc on Daejon Love, the fake 49ers WR who fleeced dating app victims for 1.3M

FOX News

Josh Allen's sweet Hailee Steinfeld moment caught on camera after the Bills' thrilling overtime win Dan Campbell's wife Holly reacts to a female Lions fan thirsting over the head coach on social media Kai Trump's Miami women's golf season on hold following second wrist surgery: 'I made the best decision' 'Raise hell, praise Dale' Earnhardt speeding ticket excuse unites Americans Every WNBA network's biggest regular-season audience in 2026 featured Caitlin Clark's Fever Powerade takes nasty shot at Sydney Sweeney's nude gambling ad, MLB fans fume & have commercials gone too far? Robert Saleh assures Cam Ward is in'a good headspace' amid Titans embarrassing start to season Ilhan Omar's family members subpoenaed in federal probe Emily Compagno: Women don't need to be defended from a comedian's joke Undocumented immigrants who commit serious, violent crimes'should not be here': Former NYC mayor'Candidate quality' matters, Kellyanne Conway explains It's amazing that the left still uses the racism argument so broadly, Rep Brandon Gill says Daejon Love allegedly swindled more than $1.3M using dating apps like Tinder and Bumble to target victims across three states Renner: There is a, I don't want to say mental block, but there is definitely a guy who is thinking far too much at the quarterback position and not playing loose whatsoever. Netflix has officially ordered an Untold documentary on the wildest fake-baller scheme in modern sports, locking in on Daejon Love, the 35-year-old con man who swindled women out of more than $1.3 million by pretending to be a San Francisco 49ers wide receiver. This page may contain affiliate links to legal sports betting partners. If you sign up or place a wager, FOX News may be compensated.


Is There a 'Religious Revival' Happening Among Gen Z?

TIME - Tech

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MIT scientist explains how the theory we're living in a simulation could prove Christianity right

Daily Mail - Science & tech

Harry's secret reunion: Meghan, Archie and Lilibet fly in to meet King Charles and Queen Camilla with him at Highgrove: REBECCA ENGLISH Victoria Beckham says Miami is her'happy place' as she gushes over her incredible US life after launching her first US pop-up store in the Florida city Brad Pitt FINALLY gets a kiss from Ines de Ramon at FIFA World Cup after she was accused of'pulling away from him' EXCLUSIVE Taylor Swift spotted for first time since wedding... as she and Travis touch down in latest destination on jet-setting honeymoon tour Taylor Swift suffers wardrobe malfunction as she wrestles pink gown at ex-Chiefs star's wedding... as fans hit out at long wait for pictures of her OWN dress


China Is Already Trying to Control Who the Next Dalai Lama Will Be

TIME - Tech

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. In early June, Tenzin Gyatso, the 14th Dalai Lama, was wheeled into an operating room at Apollo Hospital in New Delhi. Spiritually, His Holiness is an emanation, or of the bodhisattva Chenrezig, who renounced nirvana to help mankind.


Americans echo Pope Leo's concerns about AI: 'It threatens workers, privacy and human life'

The Guardian

Pope Leo XIV speaks during a meeting with bishops, members of the clergy and families whose members have been victims of environmental pollution at the Cathedral of Santa Maria Assunta, in Acerra, Italy, on 23 May 2026. Pope Leo XIV speaks during a meeting with bishops, members of the clergy and families whose members have been victims of environmental pollution at the Cathedral of Santa Maria Assunta, in Acerra, Italy, on 23 May 2026. Americans echo Pope Leo's concerns about AI: 'It threatens workers, privacy and human life' Guardian readers in the US spoke of fears about unregulated AI in response to the pope's encyclical warning about the risks of the technology I n his first major papal text since assuming leadership of the Catholic church last year, Pope Leo issued a stark warning about the rise of artificial intelligence this week, denouncing the "culture of power" driving the AI age. Calling for the "most rigorous" ethical constraints on AI - which he described as one of the greatest threats facing humanity today - the first US-born pope also warned of "new forms of slavery" emerging through the digital economy. Speaking to the Guardian, readers in the US echoed the pope's concerns, describing AI as an "unregulated" industry increasingly being used to the "detriment of too many people", while also raising fears about surveillance, labor displacement, war and environmental harm .



Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

Neural Information Processing Systems

The capabilities of natural language models trained on large-scale data have increased immensely over the past few years. Open source libraries such as HuggingFace have made these models easily available and accessible. While prior research has identified biases in large language models, this paper considers biases contained in the most popular versions of these models when applied'out-of-the-box' for downstream tasks. We focus on generative language models as they are well-suited for extracting biases inherited from training data. Specifically, we conduct an indepth analysis of GPT-2, which is the most downloaded text generation model on HuggingFace, with over half a million downloads per month. We assess biases related to occupational associations for different protected categories by intersecting gender with religion, sexuality, ethnicity, political affiliation, and continental name origin. Using a template-based data collection pipeline, we collect 396K sentence completions made by GPT-2 and find: (i) The machine-predicted jobs are less diverse and more stereotypical for women than for men, especially for intersections; (ii) Intersectional interactions are highly relevant for occupational associations, which we quantify by fitting 262 logistic models; (iii) For most occupations, GPT-2 reflects the skewed gender and ethnicity distribution found in USLabor Bureau data, and even pulls the societally-skewed distribution towards gender parity in cases where its predictions deviate from real labor market observations. This raises the normative question of what language models should learn - whether they should reflect or correct for existing inequalities.