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The Controversial Stoppage Rico Verhoeven, the Dutch former kickboxer who has switched to boxing, wants an apology as well as a rematch, after being stopped one second before the end of the penultimate round in a WBC title bout with unified world heavyweight champion Oleksandr Usyk last Saturday. The Event Details The stoppage was controversial, with Verhoeven feeling he could have continued and some replays suggesting the bell may have rung before the referee signalled the end of the fight — only Verhoeven’s second since switching to boxing — at the Pyramids of Giza in Egypt. The Data Analysis Scorecards published by The Ring magazine afterwards showed two of the three judges had the fight tied 95-95 going into the 11th of 12 rounds and the other had Verhoeven ahead 96-94. The Impact Analysis “[I want] just an apology. What else can we do? I can’t demand anything else,” Verhoeven told the BBC on Thursday, adding that his team had lodged an appeal with the WBC. The Prediction Germany’s Agit Kabayel is the WBC’s mandatory challenger and Usyk could have to fight him first before any rematch with Verhoeven. “Let’s see what pops up next,” said Verhoeven. “But I have to be honest, it’s got to be big. I feel like I’m the uncrowned king.”

The Lease Duration Dispute A controversy has arisen regarding the length of Anthropic's lease with SpaceX, a deal that involves billions of dollars a month for exclusive use of Anthropic's Colossus cluster. Elon Musk claimed on X that the lease is for 180 days with a 90-day notice for mutual cancellation, while SpaceX's recent S-1 filing presents the deal as a three-year agreement. The Details of the Deal According to Musk, the short-term lease was SpaceX's request, not Anthropic's. He stated that SpaceX won't leave Anthropic hanging and will provide a reasonable off-ramp, but might need the compute capacity back if it gets super tight. On the other hand, SpaceX's S-1 filing confirms a 90-day cancellation notice but describes the agreement as lasting through May 2029, with a monthly fee. The Data Analysis The deal involves a significant monthly fee of $1.25 billion, as mentioned in the S-1 filing. This substantial commitment highlights the importance of the compute capacity for both parties. The Impact Analysis The discrepancy between Musk's statement and SpaceX's filing raises questions about the accuracy of the information provided. This situation could be seen as a material misrepresentation made while marketing a security, which could have implications for investors and the companies involved. The Prediction The future of the lease and the relationship between Anthropic and SpaceX will depend on how this situation unfolds. With the SEC possibly involved, the companies will need to clarify the terms of the agreement to avoid any further controversy.

The Launch of Sesame's Conversational AI On Thursday, the AI startup Sesame, co-founded by Oculus' founders and others from the VR company that sold to Meta, released a public preview of the conversational AI agents it's been developing for over a year. With its new iOS app, Sesame is rethinking the traditional AI chatbot experience popularized by apps like ChatGPT, creating one where conversation flows, even if the AI needs time to think. Reimagining AI Conversation Flow As the company explains in its launch announcement, "There's an inherent tension between replying quickly and taking the time to compose thoughtful responses. A slower response is usually more correct, but it can also feel unnatural if it takes too long." To address this challenge, Sesame claims to have built fast search and retrieval systems, so the AI can have up-to-date information, as well as technology that allows it to run multiple parallel searches while speaking, weaving those results into its responses as it talks. That means the AI will talk more like a human, even pivoting mid-sentence if need be, as it taps into newer information — as a human might when remembering another key fact or point they want to add. User Growth and Development Milestones The app offers four distinct AI agents called Maya, Miles, Simone, and Charlie, each of which have their own distinct voice, personality, point of view, and memory. Maya and Miles were previously available in Sesame's Research Preview of its technology, where they were soon accessed by over one million people within the first few weeks, said Sesame investor Sequoia at the time. (The company had then just raised its $250 million Series B from Sequoia and others and was opening up a beta.) During the beta, Sesame learned from user feedback and rolled out features such as search cards with image results for visualizing concepts, notes for capturing takeaways, a texting mode for those times when speaking aloud is not an option, and support for deep dives where you can get more in-depth results. There's also a new incognito mode for private conversations, which allows the agents access to prior context but saves nothing to memory. Transforming the AI Landscape The app, however, is only the first step toward Sesame's bigger plans for AI involving intelligent eyewear, which the team expects to launch in 2027. Before that, the agents will also learn to do more than just think with you, Sesame hints, suggesting they'll later be able to take action on your behalf — hence why they're called "agents" in the first place, instead of just chatbots. That is potentially even more interesting, as working with agentic tools or apps today requires being able to prompt for what you need and have a specific idea of what you want to happen, and sometimes, even how it should happen. A conversational agent that you could talk to naturally could help you take the next steps, without you having to perfect the command you're giving it. The Road to AI-Powered Eyewear The iOS app is out today in 39 countries, and the full experience is free for the time being. However, there still may be a short waitlist at sign-up. An Android preview is coming in the future, the company says.

The Lead Barcelona has completed the signing of Anthony Gordon from Newcastle for £70m, a move that brings a direct and intense playing style to their attack. The 25-year-old England winger is known for his turbo-charged talent and ability to terrorize defenses. Gordon's Playing Style Gordon is a versatile right-footed forward who is arguably at his best on the left but capable of playing across the frontline. He is aggressive and direct, reveling in accelerating into space behind defenders and pressing relentlessly from the front with rare intensity. His playing style is not without risk, as he often forces defenders into taking gambles they would prefer to avoid. The Data Analysis In 26 league games for Newcastle, Gordon contributed six goals, three of them penalties, and only two assists. However, in the Champions League, he scored 10 times in 12 appearances and contributed two assists. His performance in the Champions League has drawn praise from top managers, including José Mourinho. The Impact Analysis Gordon's signing is part of Hansi Flick's plan to keep Madrid firmly in their place. His arrival brings unpredictability to Barcelona's attack, and his ability to interchange positions with other forwards could make their attacking trio more formidable. However, Gordon's inconsistency and sometimes selfish play may pose a risk for Flick. The Prediction If Gordon can refine aspects of his game and diplomatic skills at the Camp Nou, he could become a key player for Barcelona. Meanwhile, Newcastle seems poised for an even more dramatic reinvention, with their sporting director pursuing several new signings to strengthen their squad.

The Plan for World Cup Glory As co-hosts, Canada enter the World Cup with high expectations, despite never winning a match at a previous tournament. Since a Concacaf Nations League semi-final defeat to Mexico in March 2025 the team have lost one of 15 matches at the time of writing, a run that has included some excellent opponents such as Colombia, Ecuador, Ukraine and the USA, whom they have defeated twice in the past two years, including their first win on US soil in 57 years. The coach, Jesse Marsch, has maintained a consistent 4-4-2 with the emphasis on pressing from the front and pace in wide positions. "Some teams press to win the ball back, we press to punish and think about scoring immediately when we recover the ball," said Marsch, who is American, but has captured the hearts of many Canadians since he took the job in May 2024 and guided the team to the semi-finals of the Copa América. Canada's World Cup Schedule 12 June v Bosnia and Herzegovina, Toronto (3pm local, 8pm BST) 18 June v Qatar, Vancouver (3pm local, 11pm BST) 24 June v Switzerland, Vancouver (noon local, 8pm BST) Success at that tournament, and subsequently in friendlies, is based on a defensive structure Marsch worked on immediately when taking the job and playing against the Netherlands and France in his first two matches in charge. Nine clean sheets in 13 matches before the pre-tournament friendlies is even more impressive considering Moïse Bombito, their star centre-back from Nice, and Bayern Munich's Alphonso Davies did not play in any of those matches because of injury. The Coach's Vision Jesse Marsch's first venture into international management has been a successful one, but not one he found easy to adjust to. "From the moment I worked with this group of players in the first camp, I knew I was going to fall in love with these guys," he says. "They are a unique group of really good people, who are very talented, and when I said goodbye to them it was different from what I was used to as a head coach in the club game." Marsch has enjoyed those gaps in his schedule, using time to visit Canadian players across the world and spending a lot of time in the country at the provincial level to help bring a more united approach to the way the game is developed and governed. Star Player's Return Questioned The captain, Alphonso Davies, has not played for Canada since tearing his ACL against USA in the Nations League third-place match last March. Whether to play him at left-back or on the wing has been one of the biggest questions for years, but under Marsch the Bayern Munich man has predominantly been used at the back and has been excellent. However, another injury setback, against Paris St-Germain in the Champions League semi-final second leg – his third in the past three months – has put his participation for the opening game against Bosnia and Herzegovina in doubt. He has started 12 of 29 internationals in the Marsch-era at the time of writing. One to Watch Few players have received more work and attention from his national coach than the midfielder Ismaël Koné, who was dropped during the Copa América as he struggled to make an impact. Since then he has been excellent for Sassuolo in Serie A and has turned into a dynamic box-to-box midfielder for Marsch, learning valuable lessons defensively in Italy, where his discipline and tactical concentration has improved significantly. Expected to start next to the excellent Stephen Eustáquio in a key double-pivot tandem for Canada. Unsung Hero Norwich's Ali Ahmed has become a favourite of Marsch's because of his selfless work on the pitch. Ahmed is asked to lead the press on the left wing, often cutting inside to increase the midfield numbers and bring intensity and energy off the ball. One of the reasons Marsch has not deployed Davies further forward is because he views his team without the ball more than with it and in that vision the former Vancouver Whitecaps man is crucial. Probable Starting XI Canada's likely formation for the World Cup matches will be based on the 4-4-2 system that Marsch has consistently employed, with specific attention to defensive structure and pressing from the front. Fan Expectations Canada is ready to host the world, but the attention is more on this team than other games happening in the country. Being the only side to start on the east coast and move directly to the west coast allows fans in Toronto and Vancouver to watch their team in the group stages. The supporters group The Voyageurs will lead the noise with their flags and chants of "Ooh, Ahh Canada". Canada is known for its cosmopolitan population and cultural diversity, with people from all over the world, and should benefit from playing three group opponents with relatively diverse fan bases.

IOC President Kirsty Coventry sparked a social‑media firestorm by declaring athletes should not be paid prize money at the Games, prompting a wave of criticism from Olympians worldwide.Coventry’s anti‑prize‑money stance fuels athlete criticismDuring an interview with New Zealand outlet Sport Nation, Coventry said, “I don’t believe in paying athletes… I come from a small country… I still don’t think we should be paying athletes at the Olympic Games.” She added that the IOC should focus on talent identification and support for athletes from smaller nations. The remarks arrived on her first Oceania visit as the first woman and first African chief of the IOC.Prominent athletes responded on Instagram, with Cameron McEvoy calling the timing “inopportune” after the controversial Enhanced Games offered lucrative payouts. Former champions Filippo Magnini, Grant Hackett, Roland Schoeman, and others echoed the sentiment that athletes sacrifice without financial reward.Financial figures underline the controversy$12.4 b – total revenue generated by the IOC in the 2021‑2024 cycle.74 % – portion of that revenue redistributed back into international sport.$250,000 – prize awarded per gold medal at the Enhanced Games.$1 m – bonus earned by swimmer Kristian Gkolomeev for a “world‑record” at the same event.$350,000 – reported annual salary for the IOC president.Broader impact on Olympic governance and athlete rightsThe backlash has revived calls for an athletes’ union and a review of the IOC’s use of athletes’ name, image, and likeness (NIL). Critics point to the World Athletics decision to award $50,000 for Olympic gold as a benchmark, while questioning why the IOC, which commands billions, does not adopt a similar model.Former champion Greg Rutherford and Paralympic star Hunter Woodhall labeled the stance “embarrassing” and urged faster formation of a union. The debate also intersects with recent controversies over gender‑verification policies and past financial scandals involving the former president Thomas Bach.What’s next for IOC compensation policies?Analysts suggest the mounting pressure could force the IOC to explore NIL‑type arrangements or introduce modest prize pools to retain athlete goodwill. If the union movement gains traction, the organization may face a governance overhaul similar to the NCAA’s 2021 NIL reforms.Until a concrete policy shift is announced, the conversation around athlete compensation is likely to dominate Olympic discourse in the lead‑up to the 2028 Los Angeles Games.

The Lead: Apple's AI RevolutionJust ahead of Apple's Worldwide Developers Conference (WWDC) in June, Bloomberg has published leaked renders of what Apple's planned AI upgrade could look like on iPhone — including a brand-new Siri app meant to rival ChatGPT and other AI chatbots. This represents Apple's most significant push into the competitive AI landscape, leveraging its massive user base to introduce AI capabilities to billions of devices worldwide.The Event Details: New Siri Interface and CapabilitiesWhile users will still be able to press a button in iOS 27 to trigger Siri, the animation and response will now emerge from the iPhone's Dynamic Island — that's the black pill-shaped area at the top of the screen that today houses Live Activities. This mode will work best for quick voice queries or searches, maintaining familiarity for existing Siri users.A new mode will put Siri-powered search within easy reach, capitalizing on people's muscle memory for swiping down on their screen to access Spotlight Search. The swipe-down gesture will still open search, but now those searches will draw on the AI-powered Siri, which includes a rebuilt AI model that uses Google's Gemini AI technology under the hood for added intelligence.From here, iPhone users can search, launch apps, start messages, ask about the weather, add calendar appointments, search their notes, and trigger app shortcuts, with results displayed in formatted text in a card-style interface that also emerges from the Dynamic Island.The Data Analysis: Strategic Partnerships and Scale AdvantageApple's approach to AI mirrors its earlier multibillion-dollar partnership with Google that made Google the default search engine on iPhone. Just as building a search engine from scratch was never in Apple's playbook, AI presents a similar calculus — it's too expensive and complex to go it alone, at least right now. So Apple is working with outside partners for AI technology that users want today, while simultaneously building out its own models, including local AI that runs on local devices rather than the cloud.The scale advantage is substantial. While ChatGPT now has 900 million weekly active users, Apple's install base (all devices, not just iPhone) is 2.5 billion — meaning the company has an unmatched runway to introduce AI to people who haven't yet adopted standalone AI tools.The Impact Analysis: Shaping the AI LandscapeApple's entry into the competitive AI chatbot space with a standalone Siri app will significantly reshape the market dynamics. The app will surface users' past chat history and allow them to upload documents and photos, in addition to text, positioning it as a direct competitor to ChatGPT, Claude, Gemini, and others.This move demonstrates Apple's strategy of leveraging partnerships while maintaining its privacy-focused brand. By using Google's Gemini AI technology while developing local AI capabilities, Apple aims to deliver powerful AI experiences without compromising on its core privacy principles. This approach could set a new standard for how tech companies balance powerful AI features with user privacy concerns.The Prediction: Future of AI IntegrationLooking ahead, Apple's AI strategy appears focused on seamless integration rather than standalone dominance. The company is likely to continue its dual approach: leveraging partnerships for immediate capabilities while developing proprietary technology for long-term differentiation.As Apple rolls out these AI features across its ecosystem, we can expect to see similar AI-powered enhancements in macOS, iPadOS, and watchOS. The company's emphasis on local AI processing suggests a future where more AI tasks happen on-device, reducing latency and enhancing privacy — potentially setting a new industry standard that other tech companies will need to follow.

The Rise of Recursive Self-Improvement in AIThe word "recursion" is the latest buzzword in AI circles. Two separate startups have taken on the name, and many more have started referencing recursive self-improvement (RSI) in their roadmaps. Like AGI before it, RSI has become a three-letter byword for a cataclysmic AI takeoff – even if there's still a little disagreement about what it exactly means.In basic terms, RSI refers to an AI system that can continuously upgrade itself. Once AI systems can manage the upgrade cycle better than humans, the process can become a closed loop, limited only by the compute power they can access, and humans are no longer necessary or even helpful.Scary or not, that's a vision that a lot of AI labs are eager to chase.Key Players Pursuing Recursive SystemsEarlier this month, well-known AI researcher Richard Socher launched the aptly named Recursive Superintelligence with RSI as an explicit goal. "Our main focus is to build truly recursive, self-improving superintelligence at scale," Socher told TechCrunch at launch, "which means that the entire process of ideation, implementation, and validation of research ideas would be automatic."A number of other prominent researchers are already chasing that same goal, hoping for a breakthrough that will make recursive self-improvement possible.One of the most prominent is Andrej Karpathy, a legendary figure from Tesla and OpenAI, who is using agent swarms to train LLMs on simple tasks for a project he calls Auto-Research. Karpathy has been unusually open about the project, tweeting about milestones regularly and making the building blocks available through a public GitHub repo. So far, the work has mostly been confined to making minor improvements on a GPT-2 scale model — as Karpathy noted in March, "It's not novel, ground-breaking 'research' (yet)" — but it's been enough to convince lots of other researchers to follow the RSI dream. And with Karpathy now working on pre-training at Anthropic, he will have plenty of opportunity to apply the idea at a larger scale.Adaption — founded by Cohere and Google alum Sara Hooker — recently launched a similar tool called AutoScientist in an effort to automate frontier training. Like Karpathy's auto-researchers, the system trains agents to make incremental improvements — but for Adaption, the goal is to make it easier to train a full-scale frontier model. If those same researchers start to push the frontier forward, the system could quickly spiral into something very much like RSI.Disarray founder Doris Xin drew more specific RSI interest when her self-trained machine learning agent took home 28 medals in a recent Kaggle competition, beating out many human-trained agents. As she sees it, the major challenge is reliability."I would argue, given infinite compute and infinite time horizon, we are already there," Xin told me. "I want to make an argument that this is not a creative endeavor, really. It's just a lot of meat-and-potatoes engineering."The Current State of Self-Improving AIThere's also plenty of evidence that the AI industry isn't very close to recursive systems in any meaningful way — and is still grappling with talking to a wary public about its progress. So Google CEO Sundar Pichai basically admitted in a recent podcast interview."It's a continuum, and we are all definitely making progress," Pichai said. "But in the way people describe RSI, that would represent a next level of acceleration and would have a lot of implications, but we aren't quite there yet."But the continuum includes an awful lot of self-improving AI systems.In January, one of Anthropic's lead programmers for Claude Code estimated that "close to 100%" of his team's code was written by the tool — a frank admission that Claude Code was literally writing itself.Just because engineers are using an AI tool doesn't mean the tool can replace them — but Anthropic seems to be getting close to replacing engineers too. In a recent survey tied to the Mythos preview, five out of 18 Anthropic engineers believed that, with harness improvements, this version of Mythos could soon substitute for an L4 engineer — a midlevel programmer who can take on involved projects without supervision.Still, there were some of the same weaknesses you might expect."Some of Claude's major reported weaknesses compared to an L4 include: self-managing week-long ambiguous tasks, understanding org priorities, taste, verification, instruction-following, and epistemics," the report reads.In other words, its weaknesses are everything involved with self-direction, which is the cornerstone for RSI. But sure, for everything else, Claude is ready to step right in.Expert Perspectives on RSI TimelinesJust like the AGI term before it, the AI industry also can't tell us how far away it is from showcasing a meaningful recursive system. When Georgetown's Center for Security and Emerging Technology assembled a group of experts to study RSI last year, the group found a major split in assessments — some expecting an imminent "superintelligence" style explosion while others expected slower progress and an eventual plateau. But all agreed that recursion made the future especially difficult to predict.Helen Toner, director of CSET and a former board member at OpenAI, told TechCrunch that simply using AI tools to do AI research isn't enough to qualify as RSI. "They're just using AI for as much as they can," Toner told TechCrunch. "And I think that is different from the classic definition of RSI, which is really that there are no humans needed."Toner pointed to a recent post by METR's Ajeya Cotra, which distinguishes different milestones on the path to the AI research takeover. One step, which Cotra calls "adequacy," would come when the system can still perform research after all humans are removed — even if the resulting research isn't as valuable or efficient. "Parity" comes when an AI-only system is as good at research as a human-only system. "Supremacy," the final stage, comes when an AI-only system outperforms a collaborative system between humans and AI.Ultimately, Cotra concludes that AI is very close to the adequacy threshold of being able to produce some work on its own — similar to the incremental changes made by Karpathy's Auto-Research system. "I wouldn't be totally shocked if you told me this milestone had already passed, and I expect it to happen in the next couple years," Cotra wrote.She was less clear on when parity will come, but once it does, she thinks it would "massively accelerate the pace of AI progress, leading to AI research supremacy within another year."The Challenges Ahead for Recursive AIWith so much of AI built on scaling laws, there's a strong tendency to think RSI will follow the same curve. Toner thinks that many of those pursuing AI research and development via RSI "think of it as a pretty smooth ladder, where you can just keep scaling up."But even if AI researchers are able to make incremental improvements like Karpathy's auto-researchers, there will be larger challenges in handing off the whole process of research. Toner put it in terms of the history of computing, which has seen human beings handing off more and more of the process while still directing things from the top."We went from machine languages to assembly language and compiled languages; you're getting further and further from the guts of the computer," Toner said. "But the human is still, in some intuitive sense, running the show."Moving beyond that paradigm will take significant challenges, both in engineering and alignment. But even with the massive investments happening, there's no infinite compute available — and the basic trade-off between human labor and machine intelligence will be hard to overcome.The Future of Recursive Self-ImprovementAs for a total recursive AI system of apocalyptic visions? The only thing researchers essentially agree on is that, like AGI, it's not here yet.

The Lead Crystal Palace's turbulent season has ended in triumph as they won the Conference League, securing a spot in the Europa League. The team's journey was marked by challenges, including tensions between manager Oliver Glasner and owner Steve Parish. The Event Details Crystal Palace's victory in the Conference League final against Rayo Vallecano was sealed with a goal from Jean-Philippe Mateta. The win marked the team's first major trophy under Glasner's management. Parish reflected on the journey, saying, 'It's incredible... an amazing achievement. All the ups and downs … To get to the Europa League, where we deserve to be.' The team's captain, Dean Henderson, was handed the trophy by UEFA President Aleksander Ceferin. The Data Analysis The team's success was fueled by key players, including Maxence Lacroix, Daniel Muñoz, Adam Wharton, and Ismaïla Sarr, who was the Conference League's top scorer. The team's journey to the Europa League was a significant achievement, especially considering their tumultuous season. The Impact Analysis The victory marked a new era for Crystal Palace, as Glasner departed and a new manager, Andoni Iraola, is expected to be appointed. Parish acknowledged the challenge of keeping the team together, as several players are expected to be coveted by bigger clubs. The team's success has raised expectations, and Parish emphasized the need to 'stay there' and continue to compete at a high level. The Prediction As Crystal Palace looks to the future, they will face a new set of challenges under their new manager. With a talented squad and a taste of European competition, the team is poised to make a strong impact in the upcoming season. The appointment of Iraola or another manager will be crucial in determining the team's trajectory and ability to sustain their success.