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Elon Musk has taken part in a training session with former UFC champion Georges St-Pierre ahead of a potential bout with Mark Zuckerberg. The two tech billionaires agreed to a fight last month after Mr Musk accused the Meta chief of ripping off Twitter with a new platform called Threads. “Up for a cage match,” the Twitter owner wrote, to which Mr Zuckerberg replied: “Send me location.” Both men have since sparred with podcaster and jiu jitsu enthusiast Lex Fridman, who joined Mr Musk on Monday in his first training session with Mr St-Pierre. The Canadian fighter is considered to be one of the greatest ever mixed martial artists, winning titles in two weight divisions before retiring in 2019. They were also joined by John Danaher, a grappling coach who is among the best regarded trainers in Brazilian Jiu-Jitsu and has coached a number of world champions. “Had a great training session with Elon Musk, Georges St-Pierre, and John Danaher last night,” Mr Fridman tweeted. “Everything about this was epic!” Mr Musk replied: “Really fun!” The obvious conclusion is that I need a *lot* more training.” Prior to proposing the fight, Mr Musk claimed to “almost never work out”, while the Facebook founder has been practising jiu-jitsu since 2022. Earlier this year, Mr Zuckerberg competed in a martial arts tournament, winning “some medals” in his weight class. His potential opponent holds a height and weight advantage over him, however Mr Musk is also 13 years older than his tech rival. Following his training session with the SpaceX and Tesla boss, Mr Fridman said he was “extremely impressed” with his “strength, power, and skill, on the feet and on the ground”. Mr Fridman shared photos of his sparring session with Mr Musk, however no video of his training has yet emerged. UFC trainer Javier Mendez recently predicted that Mr Zuckerberg would win the fight, given his apparent fitness and experience. “The big advantage Zuckerberg has over Elon is that he’s actively training and he’s more of a dog right now, because he entered a jiu-jitsu tournament, so that tells me a lot about him,” he said. “All things considered, Zuckerberg is way ahead of Musk, but you won’t really know until you see what Musk possesses... I would want Musk to think about ways to prevent takedowns. But you can’t avoid a takedown just by trying to avoid it; you have to avoid it by striking.” No date or venue has been set for the fight. Read More Twitter to stop TweetDeck access for unverified users How Elon Musk finally broke Twitter – and why it might just be the start Twitter rival Bluesky halts sign-ups after huge surge in demand Elon Musk confirms cage fight with Mark Zuckerberg

A TikTok trend has received a mixed response online for depicting unrealistic beauty standards. The 'tanning' filter is exactly that. It alters users' complexion with a sunkissed glow, and many have taken to the platform to share the noticeable difference. In one clip that racked up over 50,000 likes, one user wrote: "My biggest red flag is that I'd rather look like an oompa loompa than be pale. This. Is. Concerning." The self-recorded footage showed the woman stunned by her newfound tan achieved by the filter. One person questioned: "Why does everyone hate on their pale skin, like, what’s the issue?" Another added, "felt this heavy," to which the TikToker responded: "The hard reality of our tanning addictions." Sign up for our free Indy100 weekly newsletter In a separate clip that racked up 5.6 million views, TikToker Em (@orig_faygo) compared her before and after shots. "Proof everyone looks better with tan," she wrote as the on-screen text. @orig_faygo i finally got to tan again, the filter was my before 😭 [NOT A FAKE TAN] #trending #audios #real #relatable #tan #fyp #fy It comes after yet another problematic filter, the Bold Glamour makeup. The TikTok filter applies an incredibly realistic full face of makeup to users, with many suggesting it's more damaging than it's worth. Generally, filters glitch and sometimes slip away from the face. In this case, it doesn't. The filter is so advanced that if TikTok didn't disclaim it was being used in videos, viewers wouldn't know any different. In a viral video viewed over 4 million times, TikToker Joanna (@joannajkenny) urges people to not use the filter. "I don't want to say this about myself but I actually look ugly when I take this filter off," she said, adding: "I've done a lot of work to unlearn that I owe prettiness to anyone." She continued: "Here's a reminder for anyone who needs it, filtered skin is not a skin type." Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

A trade war between China and the United States over the future of semiconductors is escalating.

IQ tests offer a formula that allows you to compare yourself to other people and see how average (or above average) your intelligence is. The Cognitive Reflection Test (CRT) is dubbed the world’s shortest IQ test because it consists of just three questions. It assesses your ability to identify that a simple problem can actually be harder than it first appears. The quicker you do this, the more intelligent you appear to be. Here are the three questions: 1. A bat and a ball cost £1.10 in total. The bat costs £1.00 more than the ball. How much does the ball cost? 2. If it takes five machines five minutes to make five widgets, how long would it take 100 machines to make 100 widgets? 3. In a lake, there is a patch of lily pads. Every day, the patch doubles in size. If it takes 48 days for the patch to cover the entire lake, how long would it take for the patch to cover half of the lake? Sign up to our free Indy100 weekly newsletter Here is what a lot of people guess: 1. 10 pence 2. 100 minutes 3. 24 days These answers would be wrong. When you're ready, scroll down for the correct answers, and how you get to them: 1. The ball would actually cost 5 pence or 0.05 pounds If the ball costs X, and the bat costs £1 more, then it will be: X+£1 Therefore Bat+ball=X + (X+1) =1.1 Thus 2X+1=1.1, and 2X=0.1 X= 0.05 2. It would take 5 minutes to make 100 widgets. Five machines can make five widgets in five minutes; therefore one machine will make one widget in five minutes too. Therefore if we have 100 machines all making widgets, they can make 100 widgets in five minutes. 3. It would take 47 days for the patch to cover half of the lake If the patch doubles in size each day going forward, it would halve in size going backwards. So on day 47, the lake is half full. In a survey of almost 3,500 people, 33 per cent got all three wrong, and 83 per cent missed at least one. While this IQ test has its shortcomings – its brevity, and lack of variation in verbal and non-verbal reasoning - only 48 per cent of MIT students sampled were able to answer all three correctly. Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

South Africa will require that crypto exchanges in the country operate with licenses by the end of the

Access to Twitter’s own TweetDeck client will be limited to paid subscribers from August, cutting off free users

Meta Platforms Inc.’s Facebook lost its fight at the European Union’s top court to topple a German antitrust

Alphabet Inc.’s Google is set to appoint a manufacturing and policy veteran as its top government affairs executive

(Reuters) -Elon Musk's Twitter has put a temporary limit on the number of tweets that users can see each day,

Japan is laying the groundwork to become home to some of the world’s top companies in artificial intelligence,

It started like any other outage: unexplained error messages that told users they had hit their “rate limit”, and Twitter posts refusing to load. But as the weekend progressed, it became clear that these weren’t just any old technical problems, but rather issues that could define the future not only of Twitter but of the internet. Elon Musk took to Twitter on Saturday and announced that he would be introducing a range of changes “to address extreme levels of data scraping [and] system manipulation”. Users would only be able to see a limited number of posts, and those who are not logged in wouldn’t be able to see the site at all. That decision triggered those error messages, since users were hitting the “rate limit” that meant they were requesting too many posts for Twitter to be able to handle. The new limits – apparently temporary, though still in effect – meant that users were being rationed on how many tweets they were able to see, and would see frustrating and unexplained messages when they actually hit that limit. In many ways it was yet another perplexing and worrying decision by Mr Musk, whose stewardship of Twitter has lurched from scandal to scandal since he took over the company in October last year. (He appointed a chief executive, Linda Yaccarino, last month, but is still seemingly deciding, executing and communicating the company’s strategy.) But something seems different about the chaos this time around. For one, it is not one of the many content policy issues or potentially hostile ways of encouraging people to sign up for Twitter’s premium service that have marked Mr Musk’s leadership of Twitter so far; for another, it seemed to be part of a broader issue that is rattling the whole internet, and which Twitter might only be one symptom. It remains unclear whether Mr Musk’s latest decision really has anything to do with scraping by artificial intelligence systems, as he claimed. But the explanation certainly makes sense: AI systems require vast corpuses of text and images to be trained on, and the companies that make them have generated that by scraping and regurgitating the text that can be easily found across the web. Every time someone wants to load a web page, their computer makes a request to that company’s servers, which then provide the data that can be reconstructed on the user’s web browser. If you want to load Elon Musk’s Twitter account, for instance, you direct your browser to the relevant address and it will show his Twitter posts, pulled down from the internet. That comes with costs, of course, including the price of running those servers and the bandwidth required to be sending vast amounts of data quickly across the internet. For the most part on the modern internet, that cost has been covered by also sending along some advertising, or requiring that people sign up for a subscription to see the content they are asking for. AI companies that are scraping those sites make frequent requests for that data, however, and quickly. And since the system is automated, they are not able to look at ads or pay for subscriptions, meaning that companies are not paid for the content they are providing. That issue looks to be growing across the internet. Companies that host text discussions, such as Twitter, are very aware that they might be serving up the same data that could one day render them obsolete, and are keen to at least make some money from that process. It also looks to be some of the reason behind the recent fallout on Reddit, too. That site is especially useful for feeding to an AI – it includes very human and very helpful answers to the kinds of questions that users might ask an AI system – and the company is very aware that it is, once again, giving up the information that might also be used to overtake it. To try and solve that, it recently announced that it would be charging large amounts of access to its API, which serves as the interface through which automated systems can hoover up that data. It was at least partly intended as a way to generate money from those AI companies, though it also had the effect of making it too expensive for third-party Reddit clients – which also rely on that API – to keep running, and the most popular ones have since shut down. There is good reason to think that this will keep happening. The web is increasingly being hoovered up by the same AI systems that will eventually be used to further degrade the experience of using it: Twitter is, in effect, being used to train the same bots that will one day post misleading and annoying messages all over Twitter. Every website that hosts text, images or video could face the same problems, as AI companies look to build up their datasets and train up their systems. As such, all of the internet could become more like Mr Musk’s Twitter did over the weekend: actively hostile to actual users, as it attempts to keep the fake users away. But just as likely is that it is Mr Musk’s explanation for why the site went down conveniently chimes with the zeitgeist, and helpfully shifts blame to the AI companies that he has already voiced significant skepticism about. The truth may be that Twitter – which has fired the vast majority of its staff, including those in its engineering teams – might finally be running into problems with infrastructure that happen when fewer people are around to keep the site online. Twitter’s former head of trust and safety, Yoel Roth, is perhaps the best qualified person to suggest that is the case. He said that Mr Musk’s argument for the new limits “doesn’t pass the sniff test” and instead suggested that it was the result of someone mistakenly breaking the rate limiter and then having that accident passed off by Mr Musk as being intentional, whether he knows that or not. “For anyone keeping track, this isn’t even the first time they’ve completely broken the site by bumbling around in the rate limiter,” Mr Roth wrote on Twitter rival Bluesky. “There’s a reason the limiter was one of the most locked down internal tools. Futzing around with rate limits is probably the easiest way to break Twitter.” Mr Roth also said that Twitter has long been aware that it was being scraped – and that it was OK with it. He called it the “open secret of Twitter data access” and said the company considered it “fine”. And he too suggested that the events of the weekend could be a hint about what is coming to the internet, offering an entirely different alternative. It’s not Twitter, Reddit and other companies who should really be upset about what is going on, he suggested. “There’s some legitimacy to Twitter and Reddit being upset with AI companies for slurping up social data gratis in order to train commercially lucrative models,” Mr Roth said. “But they should never forget that it’s not *their* data — it’s ours. A solution to parasitic AI needs to be user-centric, not profit-centric.” Read More Twitter to stop TweetDeck access for unverified users Meta’s Twitter alternative Threads to be launched this week – report Twitter rival Bluesky halts sign-ups after huge surge in demand Twitter is breaking more and more Twitter rival sees huge increase in users as Elon Musk ‘destroys his site’ What does Twitter’s rate-limiting restriction mean?

By Foo Yun Chee BRUSSELS Alphabet's Google, Amazon, Apple, Meta Platforms and Microsoft have notified the European Commission