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World's most narcissistic countries revealed... and America's shock ranking

Daily Mail - Science & tech

America's pettiest cyclist takes infuriating'revenge' on innocent drivers after spotting truck blocking Boston bike lane Royal fans criticise Oprah for failing to'challenge' Meghan and Harry's claims in tell-all 2021 interview - as she defends asking the duchess if she was'silenced' I caught my wife doing something so revolting in the shower. I don't believe her excuse for a second: DEAR JANE Over-the-counter allergy medication recalled over fears of contamination with drug that can cause'life-threatening' reactions Inside America's saddest ever murder trial: Lindsay Clancy strangled all three of her children... then got paralyzed as she tried to kill herself. Matt Damon reveals why he had a FEMALE stunt double in The Odyssey... amid backlash over'woke' casting World's most narcissistic countries revealed... and America's shock ranking ChatGPT maker OpenAI says AI model went rogue during testing and'escaped' into the internet where it launched'unprecedented' cyberattack I was hiding the shame of being a hard-working mother who drank and took cocaine. Then I took Mounjaro to lose weight... the effect on my humiliating habits was astonishing Nearly three dozen buildings revealed as potential sources of deadly lung disease outbreak... as deaths and cases continue to rise I thought I had the perfect marriage. Then my husband of 20 years revealed he'd been sleeping with men for a decade.


Non-Rival Data as Rival Products: An Encapsulation-Forging Approach for Data Synthesis

arXiv.org Artificial Intelligence

The non-rival nature of data creates a dilemma for firms: sharing data unlocks value but risks eroding competitive advantage. Existing data synthesis methods often exacerbate this problem by creating data with symmetric utility, allowing any party to extract its value. This paper introduces the Encapsulation-Forging (EnFo) framework, a novel approach to generate rival synthetic data with asymmetric utility. EnFo operates in two stages: it first encapsulates predictive knowledge from the original data into a designated ``key'' model, and then forges a synthetic dataset by optimizing the data to intentionally overfit this key model. This process transforms non-rival data into a rival product, ensuring its value is accessible only to the intended model, thereby preventing unauthorized use and preserving the data owner's competitive edge. Our framework demonstrates remarkable sample efficiency, matching the original data's performance with a fraction of its size, while providing robust privacy protection and resistance to misuse. EnFo offers a practical solution for firms to collaborate strategically without compromising their core analytical advantage.



Meta's Twitter-killer app Threads passes 100million users in five days

Daily Mail - Science & tech

Meta Inc's Threads app launched by Instagram that has been called a Twitter-killer has signed up more than 100 million users in less than five days. That is according to data tracking websites on Monday, suggesting the app has smashed the record of AI tool ChatGPT for fastest-growing consumer app. While ChatGPT took two months to hit the 100 million user mark and video-sharing app TikTok took nine months, Instagram itself took two and a half years to reach that mark after its 2010 launch. Threads went live on Apple and Android app stores in 100 countries late on Wednesday (July 5), though it is not available in Europe because parent company Meta is unsure how to navigate the European Union's data privacy legislation. Meanwhile, experts have described the traffic of Elon Musk-owned Twitter as'tanking' in the face of the new competition.


Pushing Buttons: Why Sonic and Mario duelling it out in 2D again will be a spectacle

The Guardian

Rivalry is a vital element of fandom. Whether its punks v rockers, Star Trek v Star Wars or Marvel v DC, subcultures have always defined themselves by what they're not as much as what they are. Which is why I'm secretly delighted that Sega and Nintendo are apparently releasing their new Sonic and Mario games within days of each other this October. Both Super Mario Bros Wonder and Sega Superstars are nostalgic callbacks to the era of 2D platforming. Both games allow players to select from a range of classic characters and take on the rich, lushly colourful environments in cooperative modes, and both supplement the retro aesthetics with new abilities.


Funnycontrol

#artificialintelligence

A headline in this publication read "Apple's Delhi store is significantly smaller than Mumbai outlet". Many men from Delhi took to the internet challenging their counterparts in Mumbai to show the size of their outlets. Mercifully, the new IT law proposed by the government should help to prevent the spread of any fake news in this regard. Apple will pay a rent of around Rs 40 lakh a month for its second retail store in Delhi. Landlords in Bengaluru have used this as an excuse to hike their rents further.


Ensuring artificial intelligence has human values--before it's too late

#artificialintelligence

This may be the year when artificial intelligence transforms daily life. So said Brad Smith, president and vice chairman of Microsoft, at a Vatican-organised event on AI last week. But Smith's statement was less a prediction than a call to action: the event--attended by industry leaders and representatives of the three Abrahamic religions--sought to promote an ethical, human-centred approach to the development of AI. There is no doubt that AI poses a daunting set of operational, ethical and regulatory challenges. And addressing them will be far from straightforward.


Incorporating Rivalry in Reinforcement Learning for a Competitive Game

arXiv.org Artificial Intelligence

Recent advances in reinforcement learning with social agents have allowed such models to achieve human-level performance on specific interaction tasks. However, most interactive scenarios do not have a version alone as an end goal; instead, the social impact of these agents when interacting with humans is as important and largely unexplored. In this regard, this work proposes a novel reinforcement learning mechanism based on the social impact of rivalry behavior. Our proposed model aggregates objective and social perception mechanisms to derive a rivalry score that is used to modulate the learning of artificial agents. To investigate our proposed model, we design an interactive game scenario, using the Chef's Hat Card Game, and examine how the rivalry modulation changes the agent's playing style, and how this impacts the experience of human players in the game. Our results show that humans can detect specific social characteristics when playing against rival agents when compared to common agents, which directly affects the performance of the human players in subsequent games. We conclude our work by discussing how the different social and objective features that compose the artificial rivalry score contribute to our results.


Will Artificial Intelligence Rule The World?

#artificialintelligence

NEW YORK, NY - APRIL 09: A working Enigma cipher machine that along with the 1942 56-page notebook ... [ ] belonging to codebreaker Alan Turing is to be auctioned Bonham's auction house on April 9, 2015 in New York City. The notebook is to be auctioned in New York on Monday. The notebook alone is expected to go for $1 million. Turing's life and work were recently brought to life in the 2014 blockbuster "The Imitation Game", which drew eight Oscar nominations. The Swiss government's Spiez Laboratory, one of whose specialisations is the study of deadly toxins and infectious diseases, is located right in the heart of Switzerland, incidentally not too far away from the Reichenbach Falls, where Sherlock Holmes vanquished Professor Moriarty (more about him later) in'The Final Problem'.


Useful Artificial Intelligence Applications For Business - ONPASSIVE

#artificialintelligence

Computers have become an inseparable part of our life, as we all know. Today, technology has progressed to the point where a computer can execute jobs with a high percentage of success. Artificial Intelligence (AI) has made all of this feasible. AI is a branch of science that allows robots to do activities that would otherwise need human Intelligence. AI is a broad subject in computer science that is created and implemented using machine learning and deep learning techniques.