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Lead: NASA’s New Moon‑Base MilestoneNASA revealed that Blue Origin will conduct the first uncrewed lunar lander mission in a series of three scheduled for 2026, marking the agency’s initial move toward a $20 bn moon base. The decision, announced by NASA Administrator Jared Isaacman, places Bezos’s company ahead of SpaceX for this critical early contract.Blue Origin Secures First Uncrewed Moon Base MissionThe award designates Blue Origin’s Endurance cryogenic cargo lander to deliver scientific payloads to the Shackleton‑de Gerlache Ridge at the lunar south pole. The mission, targeted for launch as early as fall 2026, will be the first privately funded lunar lander flight in history.Contract awarded to Blue Origin over competing bids.Mission to test critical capabilities for future human‑landing systems.Part of a broader NASA roadmap that includes more than a dozen additional lunar missions through the decade.Financial Terms and Timeline of the 2026 Lunar MissionsNASA has allocated $230.4 million for each of the first two moon‑base missions, with the agency covering the majority of operational costs.Funding per mission: $230.4 million.2026 schedule: Three uncrewed missions, followed by “more than a dozen” missions in subsequent years.Related contracts: Smaller awards to Lunar Outpost, Firefly Aerospace, and other private firms supporting lunar‑to‑Mars projects.Strategic Implications for U.S. Lunar Ambitions and Private Space CompetitionThe selection underscores the Trump administration’s push to accelerate the Artemis program and establish a permanent lunar presence ahead of China. By leveraging private industry, NASA aims to lower taxpayer costs, stimulate a space‑economy job market, and maintain U.S. leadership in deep‑space exploration.Creates a direct competitive dynamic between Blue Origin and SpaceX for future crewed lander contracts (Artemis III, Artemis IV).Supports the “blueprint for an enduring lunar presence” with a target of operational capability by 2029‑2032.Aligns with national space policy goals of a “golden age of exploration” and a semi‑permanent lunar settlement.What Lies Ahead for NASA’s Moon Base and Commercial Lander DevelopmentFollowing the 2026 uncrewed flights, NASA will evaluate the performance of both Blue Origin’s Blue Moon lander and SpaceX’s Starship HLS during the Artemis III test mission in low‑Earth orbit. Successful demonstrations are expected to pave the way for crewed landings on Artemis IV (planned for 2028) and the eventual construction of Moon Base One.Industry observers anticipate that continued private‑sector involvement will accelerate technology maturation, reduce launch costs, and expand the commercial market for lunar payload services, setting the stage for a sustained human presence on the Moon.

The Rise of AI-generated History Influencers “I have just arrived in Tudor London, 1536,” a young woman in a green puffer jacket tells the camera. “I’m going to check in at my room in the inn, get into the market. Then, later I am meeting the actual king – yep, Henry VIII – in person.” On YouTube and other social platforms, users are flocking to watch AI-generated “history influencers”, characters that vlog their travels to historical settings. The Popularity of Chloe VS History One of the most popular channels is Chloe VS History, with more than 610,000 Instagram followers and 15m views on YouTube. Viewers can watch Chloe try eel pie at a Tudor market, explore the first-class suites on the Titanic and take a plunge in an ancient Roman bath. The format has been replicated by other channels, such as Janella Through Time, Nova VS History and Esmetimetravels. Popular destinations include ancient Rome, Pompeii, the wild west and England during the Black Death. The Creator's Vision The creator of Chloe VS History, 32-year-old Jonathan Laramy, said the goal was to “get younger people more interested” in different periods of history. “History is a very visual experience, but it’s just not taught that way,” he said. “It’s taught via a textbook. And that is not compatible with lots of students. So why not use the technology we have to bring that to life in a really visceral way? The Impact on History Education Adam Smith, a historian at Oxford University, believes the format could “massively enhance” how history is taught to young people. “What these AI [videos] are doing is connecting with that visceral, tangible sense of: ‘Oh my God, that could have been me, that was an earlier version of me.’ It’s quite a deep-seated psychological need in many people, to understand themselves in time.”

The Archers Actors on Their Flower Power Stage Show The actors from the popular rural radio drama The Archers are set to take the stage in a special production marking the show's 75th anniversary. Susie Riddell, who plays Tracy Horrobin, Sunny Ormonde, who plays Lilian Bellamy, and Tim Bentinck, who plays David Archer, sat down with The Guardian to discuss their excitement and nerves about performing live. Characters Come to Life The actors discussed how they bring their characters to life, even in a radio drama. Riddell mentioned that she has to be careful not to betray her true levels of excitement when speaking about the show. The actors also talked about the importance of using their imagination to create the world of Ambridge, where the show is set. From Radio to Stage The actors will be performing a specially written episode, set at Ambridge's annual flower and produce show. They discussed their concerns about adapting to a live stage performance, including what to wear and how to interact with the audience. Bentinck joked about trying to look cool on stage, while Riddell expressed her worry about people reacting to her "gurning" on stage. A Community of Fans The actors emphasized the strong connection they feel with the show's fans, who have been listening for decades. They discussed how the show's characters are very much character-led, and that the listeners have a sense of ownership over the characters. The actors are looking forward to performing in front of a live audience and interacting with fans.

The Office of Personnel Management (OPM) released a draft directive that would require all current and former federal employees to sign a non‑disclosure agreement (NDA) before speaking to the press, signaling a new wave of information control from the Donald Trump White House.Proposed NDA Directive Unveiled by OPMThe guideline, announced on Tuesday, states that violations could trigger legal action by the White House. It expands the definition of “confidential” beyond traditional intelligence classifications to cover internal agency operations, personnel matters, procurement processes and any pre‑decisional material not publicly available.Timeline and Procedural Numbers Behind the Rule30‑day public comment period once the rule is published in the Federal Register.Implementation timeline not specified; individual agencies must opt‑in.Agreements would also bind former employees who have signed the NDA.OPM spokesperson McLaurine Pinover framed the move as a response to “unauthorized disclosures” disrupting agency work.Potential Ripple Effects on Government Transparency and Whistleblower ProtectionsCritics argue the blanket NDA could “kneecap” whistleblower safeguards and undermine the First Amendment.The Freedom of the Press Foundation’s Lauren Harper called the policy “dangerously secretive.”Existing federal law already protects employees who report fraud, abuse or misconduct to internal watchdogs or Congress; the draft claims the NDA would not apply to those disclosures.Past White House actions include banning the Associated Press from the press pool and restricting Pentagon media access, moves previously ruled unconstitutional.What Legal and Political Battles May FollowPotential lawsuits from media organizations and civil‑rights groups challenging the rule’s constitutionality.Congressional hearings could pressure the administration to revise or withdraw the directive.Judicial injunctions may arise, similar to prior rulings against White House media restrictions.If upheld, the NDA could set a precedent for broader governmental control over public information.

The Upset at Roland Garros Jannik Sinner, the No 1 men’s tennis player in the world, was still leading by two sets and serving for a place in the third round of the French Open when it became clear he was in significant danger on the baking clay in Paris on Thursday afternoon. He was undone in the second round of the only Grand Slam he has yet to win, not by the ingenuity of his opponent or even the immense pressure that comes with being the prohibitive favourite, but rather by his own body. The Impact of Extreme Heat The Italian – who had not lost a match since February – said afterward that he had been struggling with an illness. Despite waving away suggestions he had wilted in the high temperatures, the unprecedented heat wave in the first week of the French Open this year could not have helped his cause. He fell 3-6, 2-6, 7-5, 6-1, 6-1 to Juan Manuel Cerúndolo before a stunned, packed audience on Court Philippe-Chatrier. Player Reactions to the Heat His defeat represents one of the most shocking results in recent years. The 24-year-old had entered the court on a 30-match winning streak and earlier this month he became the only man other than Rafael Nadal, the greatest clay court player in history, to win all three clay court ATP Masters 1000 titles in the buildup to the French Open. Most players are used to disruptive weather at Roland Garros coming in the form of rain delays and damp courts, but this year in Paris the heat has changed the state of play and divided the locker room over its intensity. The Tournament's Heat Rules The temperature has consistently ranged between 32 and 35C most afternoons so far. Such conditions are so rare in the second Grand Slam of the year that there was significant confusion about the tournament’s heat rules at the start of the week. When asked about them on Wednesday, Novak Djokovic incorrectly thought that they did not exist: “I really don’t understand why they don’t have the heat rule,” he said. “I actually didn’t know. I thought that there is in every slam, but then someone told me that Roland Garros has no heat rule.” Adapting to the Conditions The actual rules are based around the tournament organisers using wet bulb sensors to monitor the temperature, and a match could be suspended when it crosses 32.2C. To date, however, no match has ever been suspended at Roland Garros due to the heat. The scorching temperatures also make a significant difference to the way matches are played on clay. Wet, damp and colder conditions make balls heavier, leading to longer rallies and a lower bounce, the hot weather hardens the court and allow the ball to fly more quickly.

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 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 Unlikely Fashion Statement Mamdani made a surprising appearance during Eid al-Adha celebrations, donning an Arsenal thobe. The Significance of the Thobe The thobe, a traditional garment, was uniquely designed with Arsenal's colors or logo, blending cultural heritage with sports enthusiasm. Fan Reactions and Cultural Impact Social media was abuzz with reactions from fans and followers, discussing the intersection of sports and cultural attire. The Broader Context of Sports and Fashion This incident highlights the growing trend of sports brands and teams influencing fashion, even in traditional settings. Looking Ahead It will be interesting to see if more sports personalities or brands follow suit, merging sports and cultural fashion.