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The Evolution Mandate: Arsenal's Post-Trophy StrategyDespite the immense pressure and excitement surrounding Arsenal's potential to secure a historic double against Paris Saint-Germain on Saturday, the club's ownership has signaled that success will not result in complacency. Josh Kroenke, speaking ahead of the final, emphasized that winning the Champions League would not alter the club's trajectory. He argued that in the high-stakes environment of modern football, standing still is equivalent to moving backward, and the club is committed to evolving to stay ahead of rivals.Financial Commitment: Beyond the £250m SummerThe Kroenke family has demonstrated a willingness to spend significantly to achieve their goals. Since Mikel Arteta's appointment, the club has invested almost £1bn in transfer fees. This summer alone saw a record-breaking outlay of more than £250m to secure the Premier League title after a 22-year drought. Kroenke noted that this spending was driven by the realization that teams around them are constantly improving, and Arsenal must match that intensity to remain competitive.Transfer History: Almost £1bn spent since Arteta's arrival.Summer 2026: Over £250m invested to win the Premier League.Ownership Transition: KSE took full control in 2018 after buying out Usmanov for £600m.The Arteta Factor: Securing the Managerial VisionA central pillar of Arsenal's future strategy is the retention of manager Mikel Arteta. With his contract expiring at the end of the next season, Kroenke explicitly stated that keeping Arteta is an “utmost priority.” He credited Arteta with “reinventing” the club’s culture since replacing Unai Emery, describing the manager as an “Arsenal man through and through.” The owners believe that the cultural shift initiated under Arteta is the foundation upon which their continued success will be built.Stadium Renaissance and Fan ExperienceInvestment is not limited to the playing squad. The owners have announced plans to renovate the Emirates Stadium, a project led by chief executive Richard Garlick. Kroenke expressed a desire to bring back the character of the ground while elevating the matchday experience for supporters. Drawing on the standards set by their sports empire in the United States, the Kroenkes aim to modernize the facilities to ensure the Emirates remains a world-class venue.Future Outlook: Sustaining Dominance in a Competitive LeagueThe message from the board is clear: the journey to the top is a marathon, not a sprint. Kroenke reflected on a pivotal moment in 2019—a 4-1 defeat to Chelsea in the Europa League final in Baku—which prompted a strategic pivot. As Arsenal prepares for life as a two-time major trophy winner, the prediction is that they will enter the next transfer window as one of the most dangerous teams in Europe, with the financial muscle and managerial stability to sustain their challenge for years to come.

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.

Death of Yemen's Exiled Leader Marks End of an EraYemen's former president Abd-Rabbu Mansour Hadi, who fled house arrest by Houthi rebels and spent his final years in exile in Saudi Arabia, has died at age 80. Yemen's presidency confirmed the death, with state-run Yemeni TV reporting that Hadi died at his residence in Riyadh on Thursday.Former President's Life in ExileHadi was the internationally recognized president of Yemen who led a fractured government mostly from exile for eight years as the country descended into civil war and famine before stepping down in 2022. He fled to Saudi Arabia in 2015 as war erupted between the Iran-backed Houthis, who had forced the government from the capital Sanaa, and a Saudi-led coalition.The government announced three days of mourning, during which flags will be flown at half-staff. Hadi is survived by his wife, Hala, and six children.Human Cost of Yemen's ConflictAlthough a UN-brokered ceasefire is largely holding, the war has killed hundreds of thousands of people through direct and indirect causes. Last year, 19.5 million people needed aid, the United Nations reported. Yemen remains divided between the Houthi-controlled north and the government-run south, which includes a patchwork of factions.Political Vacuum in Divided YemenRashad al-Alimi, the head of the Presidential Leadership Council – the leadership body of Yemen's internationally recognized government – said Hadi believed in the Yemeni people's "right to a just state, freedom and human dignity." "He led the battle to defend the republican system," al-Alimi said on social media.Hadi took office in 2012 after a long stint as vice president to Ali Abdullah Saleh, who reluctantly ended his 33 years in power during Arab Spring protests. He handed over his powers – reportedly under Saudi pressure – to the newly formed Presidential Leadership Council in April 2022.Uncertain Path for Peace in YemenHadi, a career military officer, was waved through as the sole candidate in an election in which he won 99.8 percent of the vote. His presidency was thwarted with spells of unrest, with his opponents accusing him of favoring the country's eastern oil-rich provinces at the expense of the mountainous heartlands dominated by Houthis. After the Houthis overran the capital in 2014, they placed Hadi under house arrest in early 2015 before he escaped in February of that year.

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.

Apple's AI-Powered Siri App Set to Rival ChatGPT Apple is planning to unveil a new AI-powered Siri app at its Worldwide Developers Conference (WWDC) in June, according to leaked renders published by Bloomberg. The app is designed to rival popular AI chatbots like ChatGPT, Claude, and Gemini. The New Siri App Features The new Siri app will feature a rebuilt AI model that uses Google's Gemini AI technology under the hood for added intelligence. The app will allow users to search, launch apps, start messages, ask about the weather, add calendar appointments, search their notes, and trigger app shortcuts. Results will be displayed in a formatted text in a card-style interface that emerges from the iPhone's Dynamic Island. The Data Analysis 2.5 billion: Apple's install base across all devices 900 million: Weekly active users of ChatGPT The Impact Analysis Apple's approach to AI is similar to its earlier multibillion-dollar partnership with Google that made Google the default search engine on iPhone. By partnering with outside companies for AI technology, Apple can leverage its scale and unmatched runway to introduce AI to people who haven't yet adopted standalone AI tools. The Prediction With its massive install base and reputation for prioritizing user privacy, Apple is well-positioned to make a significant impact in the AI market. The new Siri app and AI-powered features are expected to be a major part of Apple's strategy to compete with popular AI chatbots and establish itself as a leader in the AI space.

The Shocking Exit at Roland GarrosJannik Sinner's bid for a maiden French Open title and career Grand Slam went up in smoke as he experienced physical issues in his second-round match against Juan Manuel Cerundolo and fell to a 3-6 2-6 7-5 6-1 6-1 defeat. The 24-year-old Italian arrived in Paris as the clear favorite for the title, having lifted claycourt titles in Monte Carlo, Madrid and Rome, with his main rival and defending champion Carlos Alcaraz ruled out with injury and Novak Djokovic searching for his best form.The Dramatic Turn of EventsBut Cerundolo tore up the script in a dramatic clash on a scorching Thursday where he held his nerve even as last year's runner-up Sinner crumbled while on the verge of a big win, sending shockwaves through Roland Garros. As the temperature climbed over the 30 degrees Celsius (86F) mark for the first time in the afternoon, Sinner had already breezed through the first set on the back of a solitary break, and looked to be in cruise mode.The Physical Toll of the MatchCerundolo offered resistance towards the end of the second set, but the 56th-ranked Argentinian was left with a mountain to climb after Sinner unleashed a huge forehand winner to double his lead in the match for the loss of only five games. The four-time Grand Slam champion cooled off with an ice towel in the break and turned up the intensity on his unseeded opponent in the third set to go 5-1 ahead, before he began to struggle and halted play when serving at 5-4.The Comeback VictorySinner returned from an off-court medical timeout five minutes later and was immediately broken for 5-5, and dropped the next two games to hand the set to his opponent, who sensed the chance to pull off a major upset. Still not at his best, Sinner surrendered the fourth set tamely and was broken early in the decider, as Cerundolo took full advantage to leave the Grand Slam without its title favorite.The Tournament AftermathSinner's unexpected exit creates a wide-open draw at Roland Garros, with the top half of the men's bracket now lacking a clear favorite. The Italian's physical concerns may also raise questions about his preparation for the upcoming grass court season, including Wimbledon. For Cerundolo, the victory represents the biggest win of his career and establishes him as a dangerous floater in the tournament, with the confidence to challenge remaining players.

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.

YouTube announced on May 28, 2026 that its Premium service will soon include an AI‑powered podcast recommendation tool, an “Auto speed” playback feature, and an on‑the‑go listening mode, aiming to deepen engagement with its growing podcast audience. AI‑Driven Podcast Recommendation Engine Launches The new recommendation tool leverages the same generative AI behind YouTube’s "Ask Music" to suggest podcasts based on genre, listener mood, or shows already enjoyed. Premium users will see personalized suggestions directly in the Podcasts tab, streamlining discovery without leaving the app. Auto Speed Playback and On‑the‑Go Mode Arrive on Android First Auto speed: Dynamically adjusts playback speed during slower speech or dense segments, preserving comprehension while reducing total listening time. On‑the‑go mode: Adds quick‑skip controls, episode‑jump shortcuts, and background‑play optimization for activities like running or commuting. Both features are live for Premium users on Android and will roll out to iOS in the coming months. Premium Podcast Consumption Metrics Highlight Growth Potential Premium users logged over 800 million hours of podcast playback in April 2026. YouTube Podcasts now boasts more than 1 billion monthly active users. The platform’s "Ask Music" already powers personalized radio stations, indicating a ready AI infrastructure for podcast recommendations. Strategic Play to Capture Audio‑First Audiences By enhancing discovery and hands‑free listening, YouTube is positioning itself against established audio platforms such as Spotify and Apple Podcasts, while also responding to Netflix's recent push into video podcasts. The focus on AI personalization and adaptive playback reflects a broader industry shift toward seamless, user‑centric audio experiences. What This Means for the Future of Podcast Platforms Analysts expect the AI recommendation engine to increase user retention, potentially driving Premium subscription growth by double‑digit percentages over the next year. If the Auto speed feature delivers measurable time‑saving benefits, it could set a new standard for intelligent playback, prompting competitors to develop similar adaptive technologies. The on‑the‑go mode further blurs the line between video and audio consumption, suggesting that YouTube will continue to integrate podcasting deeper into its core ecosystem.

The Final Days of Early Bird Pricing Time is running out to secure discounted tickets to TechCrunch Disrupt 2026. Early Bird pricing ends tomorrow, May 29, at 11:59 p.m. PT. After that, prices for the highly anticipated tech conference will increase. Unlock Savings of Up to $410 By registering now, you can lock in savings of up to $410 on your pass or up to 30% on group passes of 4+. Why Attend TechCrunch Disrupt 2026? TechCrunch Disrupt 2026, taking place from October 13–15 at San Francisco’s Moscone West, is a premier event for startups, investors, and tech enthusiasts. Here’s what you’ll gain by attending: Founder Pass: Accelerate growth with the right insights, tools, and connections. Meet investors aligned with your startup. Investor Pass: Discover standout startups and expand your portfolio with curated access. Use matchmaking tools to make every conversation count. Don’t Miss Out The window to the lowest ticket rates of the year is closing at 11:59 p.m. PT tomorrow, May 29. Register now to secure your ticket with up to a $410 discount.