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The LeadBlue Origin's New Glenn rocket exploded during a test in Florida on Thursday, an incident which the aerospace company called an "anomaly." All personnel have been accounted for, and the company has promised to provide updates as they learn more about what caused the explosion.The Explosion DetailsA livestream posted by NSF, an aerospace news organization, captured the fiery plume of the explosion. Homes shook in nearby Cape Canaveral and Cocoa Beach around 9pm, with residents turning to social media to ask what happened. Cape Canaveral Space Force Station's Launch Complex 36 is visible from the beach, and the internet quickly filled with photos of the orange fireball. Emergency officials confirmed there was no threat due to fumes or other potential hazards.Recent Setbacks for Blue OriginThis explosion marks another setback for Blue Origin, which is owned by Amazon founder Jeff Bezos. The New Glenn rocket was already grounded in April, as the Federal Aviation Administration required Blue Origin to investigate an engine mishap. The FAA has not yet commented on whether Thursday's explosion will trigger another investigation.Industry Competition ImplicationsThe incident comes at a critical time for Blue Origin's space ambitions. Earlier this week, NASA announced it had chosen Blue Origin over Elon Musk's SpaceX to conduct the first of three uncrewed lunar missions this year to kickstart construction of a $20 billion moon base. Both companies are competing to provide crew landers for upcoming Artemis missions, including the planned 2028 return of humans to the moon on Artemis IV. Both companies have built large new facilities in or close to Cape Canaveral's Kennedy Space Center to support crewed and cargo missions in partnership with NASA.Future Outlook for Blue OriginDespite the explosion, Blue Origin's space ambitions remain significant. The company has a vested interest in space tourism, having sent an all-female, star-studded crew including Gayle King and Katy Perry into space last April. Elon Musk, whose SpaceX lost the NASA contract to Blue Origin, commented on the incident, writing "Most unfortunate. Rockets are hard." This latest explosion may delay Blue Origin's timeline but is unlikely to derail their long-term space exploration goals, though it may create opportunities for competitors like SpaceX to gain ground in the increasingly competitive private space race.

Researchers from Stanford, Oxford and UC San Diego have demonstrated a proof‑of‑concept wearable ultrasound patch that can monitor a baby’s heart rate and blood flow continuously, aiming to reduce false alarms and missed complications in pregnancy.A Patch That Turns Ultrasound Into a Wearable SensorThe device, dubbed UPatch, adheres to the abdomen and remains operational for hours, capturing real‑time images of the foetus and umbilical cord. Unlike intermittent hospital scans, the patch records a continuous stream of data, allowing clinicians to establish a personal baseline for each pregnancy and spot deviations instantly.Trial Results Show Near‑Parity With Conventional ScansIn a study published in Nature Biotechnology, the team evaluated the patch in two cohorts:62 pregnant participants – single‑time‑point blood‑flow measurements from UPatch matched those from standard handheld ultrasound.52 women – continuous monitoring revealed dynamic fluctuations in fetal blood flow that brief scans would miss.A pre‑eclamptic case where UPatch detected severe intra‑uterine growth restriction, prompting a timely caesarean delivery and preventing stillbirth.Lead author Tom Park highlighted that the technology captures transient changes without over‑diagnosing, addressing a key limitation of current intermittent methods.Potential Shift in Prenatal Care and Global HealthSenior author Prof Sheng Xu emphasized that continuous monitoring could become a routine part of prenatal visits, especially in low‑resource settings where access to skilled sonographers is limited. Dr Antoniya Georgieva noted the broader impact: reducing stillbirth rates, providing richer data for research, and enabling earlier interventions for conditions like pre‑eclampsia.Roadmap Toward a Fully Wireless Home‑Use SystemThe current prototype is tethered to external electronics for placement, but the team is already engineering a wireless version that patients could wear during daily activities and at home. Their long‑term vision is a seamless, battery‑efficient system that integrates with tele‑health platforms, delivering real‑time alerts to clinicians wherever the mother is.

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 Remix of a Classic Words, words, words. Can Hamlet retain its tragic force without using most of them? This hour-long dance-theatre remix by the late South African choreographer Dada Masilo preserves few speeches and its opening is not auspicious, crashing straight into “To be, or not to be” shorn of context and characterisation. The Dance of Ophelia and Hamlet There follows, as is customary, a meeting between the prince and Ophelia, but Masilo replaces the usual cruel encounter with stolen moments amid a ceremony, as if they are meeting anew like Romeo and Juliet at the Capulet ball. Matching each other’s movements, amid clapped hands, thrusting shoulders and rippling chests, they grow closer with a hint of tango footwork. From this flashback, Masilo practically fast-forwards their choreography with a sense of doom. The Emotional Depth of Gertrude Letting the pair share a tender duet reinforces their romance but also heightens the violence of the nunnery scene where they are traditionally first seen together. Masilo adds another new scene to show Gertrude’s despair upon receiving news of Old Hamlet’s death rather than introducing her as sanguinely remarried to his brother. We see her seek strength amid grief, supported by courtiers whose pulsing, grounded movement is a message of persistence. This is dancing felt in the gut. The Impact of Movement and Music Wooed offstage, Gertrude returns for a convivial ceremony where a young couple are ticked off for getting too raunchy on the dancefloor. Movement styles across generations and cultures are blended by Masilo, who drew attention for remoulding ballet’s classics. Her ensemble is often an industrious force, driven by relentless percussion, as each scene breaks like a wave against Thuthuka Sibisi’s compositions. The Tragic Conclusion The latter stages lose focus but the choreography’s omnipresent sense of returning to the earth foreshadows a climax where all are struck down by the kingdom’s collective sickness, stressed by the lighting of Suzette le Sueur (who also provides some of the elegant costumes). It’s a collection of often piercing scenes that never quite establish full collective power – a tragedy out of joint. At Sadler’s Wells, London, until 26 May

The Personal Stories Highlight a Growing Youth Employment CrisisFour young adults, all aged 21‑24, share how the UK labour market has become a maze of unpaid internships, short‑term gigs and relentless job applications, leaving them anxious about the future.From Film Graduates to Care Leavers: Real‑World Barriers to EmploymentCatherina, 24, Brighton – Digital film graduate who has only secured runner roles despite festival‑screened shorts.Olivia, 24, Essex – Former retail worker forced to quit after epileptic seizures; cites inadequate employer adjustments and lack of disability‑specific guidance.Giovanna, 24, London – Care‑leaver who navigated hostel life, temporary hospitality jobs and a nine‑month civil‑service training scheme.Joseph, 21, Glasgow – Neurodivergent musical‑theatre trainee who cycled through supermarket, call‑centre and software‑engineering apprenticeship amid “hundreds” of applications.Common Threads Across the NarrativesRepeatedly sending hundreds of job applications with little to no response.Reliance on charities such as Spear, Young Women’s Trust and Drive Forward Foundation for coaching, CV help and mental‑health support.Financial insecurity forcing continued low‑paid work or early return from sick leave.Systemic gaps: lack of clear disability guidance, insufficient sick‑pay, and short‑term workplace counselling that fails neurodivergent staff.Why the Labour Market Is Failing Young PeopleThe stories echo the broader “Milburn report” warning that the labour market is increasingly inaccessible to young people, especially women and care‑leavers. Employers tout diversity initiatives, yet many lack the infrastructure to support disability accommodations or the mentorship needed for sustainable career progression.What Needs to Change to Re‑ignite Youth EmploymentGovernment‑mandated, clearer guidance on disability rights and employer obligations.Expanded financial safety nets for those unable to work due to health conditions.Long‑term, relationship‑based employment programmes that go beyond “first‑job placement”.Targeted investment in sectors that can absorb young talent, such as civil service apprenticeships and tech training pathways.

New Coalition Takes Shape Amid Drone ControversyLatvia’s parliament has confirmed a fresh governing alliance after the previous cabinet fell apart over disagreements on anti‑drone defenses. The vote marks a decisive step toward stabilising a nation that has been rattled by several wayward Ukrainian drones crossing its borders.Parliament Votes 66‑34 to Install Andris Kulbergs as Prime MinisterBy a margin of 66 deputies out of a 100‑seat assembly, lawmakers endorsed Andris Kulbergs, a 47‑year‑old centrist, as Latvia’s next prime minister. He will lead the country until the scheduled parliamentary elections on October 3. The new cabinet retains outgoing foreign minister Baiba Braze and appoints Colonel Raivis Melnis as defence minister.Numbers Behind the Power Shift: Seats, Votes, and Demographics66 votes in favour, 34 against.Latvia’s population: roughly 1.8 million people.The coalition comprises four parties, giving it a “healthy majority” in the Saeima.Previous prime minister Evika Silina resigned in mid‑May after losing coalition support.Implications for Latvia’s Security and EU/NATO AlignmentThe new government has pledged to reinforce military and border security, a stance echoed by political scientist Nils Muiznieks who noted a “broad consensus on foreign‑policy priorities.” With NATO and EU membership, Latvia is likely to maintain strong solidarity with Ukraine, especially as President Volodymyr Zelenskyy has offered expert assistance for air‑defence upgrades.What Lies Ahead: Policy Priorities and Regional StabilityAnalysts expect the coalition to focus on:Accelerating anti‑drone and air‑defence capabilities.Ensuring economic and energy security amid regional tensions.Deepening cooperation with NATO allies and the EU.Preparing for the upcoming elections while maintaining a pro‑Ukraine stance.

Palace's Conference League triumph caps a stellar seasonIn a match billed as a "feel‑good final," Crystal Palace lifted the Conference League trophy, marking their third piece of silverware in a year that also saw an FA Cup victory. The win underscores the club's rising financial clout compared with their working‑class rivals, Rayo Vallecano, who remain trophy‑less after 102 years.Conference League final: Palace defeat Rayo VallecanoThe Tin Pot decider at the Red Bull Arena ended with Palace prevailing, thanks to a decisive strike from Jean‑Philippe Mateta. Rayo’s supporters displayed stoic resilience, unfurling a banner that read, "I know no greater victory than to be with you in defeat."Venue: Red Bull Arena, BudapestDate: 27 May 2026Scoreline: Palace 1‑0 Rayo VallecanoKey player: Jean‑Philippe Mateta (match‑winning goal)Financial and squad implications of the third trophyPalace’s "vastly superior financial heft" has allowed them to assemble a squad capable of competing on multiple fronts. The victory adds to a cabinet that previously held only a Kent Senior Cup, signalling a shift in the club’s revenue streams from prize money, merchandising, and increased broadcast share.Estimated prize money for the Conference League win: £20 millionProjected increase in season ticket sales for 2026‑27: +12%Potential market value uplift for key players (Mateta, Wharton, Lacroix): +15‑20%What the win means for Palace's standing in English footballThe triumph elevates Palace from a Premier League survival outfit to a genuine European contender. Manager Oliver Glasner received praise for his tactical acumen, while the club’s board is already being linked with high‑profile managerial candidates such as Andoni Iraola and former Coventry City boss Frank Lampard should Glasner depart.Future outlook: managerial moves and transfer market activityWith the summer window approaching, Palace faces a "massive scramble" for retained talents like Mateta, Adam Wharton, and Maxence Lacroix. Rumours suggest interest from larger clubs, meaning Palace must decide whether to cash in or build a squad capable of challenging for a Europa League spot.Potential incoming manager candidates: Andoni Iraola, Frank LampardKey transfer targets to retain: Mateta, Wharton, LacroixStrategic goal for 2026‑27: Qualify for Europa League via league position

The Strategic Shift in iOS 27Just ahead of Apple’s Worldwide Developers Conference (WWDC) in June, leaked renders reveal a significant overhaul of the iPhone's interface, driven by a new generation of AI capabilities. The most visible change is the integration of Apple’s AI upgrade directly into the user experience, moving beyond simple voice commands to a comprehensive, card-style interface.The Dynamic Island as the AI Command CenterThe iconic black pill-shaped area at the top of the screen, known as the Dynamic Island, is set to become the central hub for AI interactions. While users can still trigger Siri via a button press, the primary mode of interaction will shift to the Dynamic Island. This allows for quick voice queries and searches, mimicking current usage patterns while offering a richer visual output.Furthermore, Apple is capitalizing on muscle memory by integrating AI-powered search into the swipe-down gesture. This feature, powered by a rebuilt AI model using Google's Gemini technology, allows users to search, launch apps, send messages, and manage calendar events directly from the search card.Scale as Apple's Competitive AdvantageApple’s primary weapon in this AI race is its sheer scale. With a total install base of 2.5 billion devices, Apple has an unmatched runway to introduce AI to users who have not yet adopted standalone tools like ChatGPT. While ChatGPT boasts 900 million weekly active users, Apple’s ecosystem offers a frictionless entry point for millions of new users.A Hybrid Approach to AI DevelopmentApple’s strategy mirrors its successful partnership with Google for search: leveraging external technology to meet immediate user demand while simultaneously developing proprietary solutions. By utilizing Google's Gemini under the hood for cloud-based intelligence and investing in local AI models for on-device processing, Apple aims to maintain its privacy-first brand without the prohibitive costs of building a massive AI infrastructure from scratch.The Standalone Chatbot ChallengerIn addition to system-wide integration, Apple is developing a dedicated Siri app designed to compete directly with market leaders like ChatGPT and Claude. This standalone application will feature past chat history, document uploads, and photo analysis, providing a robust alternative for users seeking advanced AI assistance.

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.