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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.

Visa has disclosed an undisclosed investment in AI coding platform Replit, aiming to embed its payment suite directly into the developer environment so that both developers and AI agents can accept payments without leaving the platform. Strategic Investment and Joint Exploration of AI‑Powered Payments The two companies are testing how Visa Intelligent Commerce and the Trusted Agent Protocol can be woven into Replit’s workflow. More than 1,000 Visa employees already use Replit for prototyping, and the collaboration remains in an exploratory stage with no formal product announcements. Valuation Surge and Funding Milestones Highlight Replit’s Growth September 2025: Replit reached a $3 billion valuation. March 2026: Raised $400 million in a Series D led by Georgian Partners, pushing valuation to $9 billion. Enterprise self‑serve contracts now allow deals up to $200,000 without sales interaction. Customer churn is described as "very, very low" with net retention hitting 300 % in some cases. Implications for the Emerging Agentic Payments Ecosystem The move underscores a broader race to build infrastructure for "agentic payments," where AI agents transact on behalf of users. Competitors such as Robinhood (agent‑driven trading) and Google (shopping agents) are pursuing similar capabilities, suggesting the market will soon demand secure, verifiable AI‑mediated transactions. Future Trajectory: From Prototype to Mainstream Agentic Commerce If the exploratory projects mature, Replit could become a one‑stop shop for developers to build, host, and monetize AI agents, accelerating adoption of Visa’s Trusted Agent Protocol. Analysts anticipate that as enterprise adoption grows and churn remains low, the partnership may evolve into a commercial product suite within the next 12‑18 months, positioning Visa and Replit at the forefront of the next wave of AI‑driven commerce.

Executive Summary: The U.S. Department of Justice has charged Michele Spagnuolo, a 36‑year‑old Google software engineer, with insider trading on the prediction market Polymarket. Using confidential data about Google’s most‑searched‑person list, he allegedly earned $1.2 million in profit.Google Engineer Accused of Insider Trading on PolymarketThe complaint, unsealed on 28 May 2026, alleges that Spagnuolo, operating under the alias “AlphaRaccoon,” placed bets on long‑shot candidates such as indie musician D4vd and rapper Kendrick Lamar after accessing internal Google search‑trend data.Bet on D4vd placed on 27 Nov 2025, when internal data showed a surge toward the top of the list.Bet on Kendrick Lamar placed in Oct 2025, based on similar insider insight.Charges filed in the U.S. District Court for the Southern District of New York.Profit Figures and Betting MechanicsThe prosecution claims the bets generated roughly $1.2 million in net profit, exploiting the market’s “near‑zero probability” pricing for the unlikely outcomes.Profit derived primarily from the D4vd bet, which paid out at odds exceeding 100 to 1.Other bets contributed additional, undisclosed gains.Regulatory and Market ImplicationsU.S. Attorney Jay Clayton emphasized that the case signals a broader crackdown on corporate insiders leveraging confidential information in prediction markets. Polymarket cooperated with investigators, becoming the first platform to see insider‑trading charges linked to its service.Potential for increased scrutiny of prediction‑market operators.Google reiterated its policy against misuse of confidential data and placed the employee on leave.Future Enforcement and Platform Cooperation OutlookLegal experts anticipate tighter reporting requirements for prediction‑market participants and more aggressive prosecution of similar schemes. The cooperation of Polymarket may set a precedent for future collaborations between regulators and betting platforms.

The Lead: Milburn's Stark Warning on UK Youth EmploymentA landmark review led by former Labour cabinet minister Alan Milburn has issued a stark warning regarding the future of the British workforce. The report projects that the number of young people not in work or education could surge to 1.25 million by the early 2030s without immediate intervention. This projection signals a potential deepening of the economic inactivity crisis that has been plaguing the UK for several years.The Event Details: The 'Generational Fault Line' ReportMilburn, leading the review into why so many young people are economically inactive, argues that the UK risks opening up a 'generational fault line' between young and old. He contends that systemic failures are preventing young people from entering the workforce, citing disconnects in schools, the NHS, the welfare system, and the jobs market. The review serves as a call to action for policymakers to address the root causes of youth economic stagnation.The Data Analysis: Projecting the 1.25 Million NEET CrisisProjected Figure: The report warns that the number of NEETs (Not in Education, Employment, or Training) could reach 1.25 million by the early 2030s.Current Context: This figure represents a significant demographic shift, indicating a potential loss of human capital and future economic productivity.Key Driver: The analysis points to a widening gap between the skills young people acquire and the demands of the modern labor market.The Impact Analysis: Economic Inactivity and Social CohesionThe rise in youth inactivity poses a severe threat to social cohesion and economic stability. A large inactive youth population places a heavier burden on the working-age population and the state, potentially leading to reduced economic dynamism and increased social stratification. The report suggests that without addressing the barriers to entry for young people, the UK could face long-term stagnation in its growth potential.The Prediction: Urgent Overhaul of UK Support SystemsTo avert this crisis, the report calls for a comprehensive overhaul of the support systems designed for young people. Future policy must focus on aligning educational outcomes with labor market demands and ensuring that health and welfare systems are accessible and relevant to the youth demographic. The Guardian is now seeking input from young people to better understand their personal experiences and challenges in the job market.

Interviewing Mouse on Mars: A Conversation Like No Other Interviewing Mouse on Mars is no easy feat. Not because the duo are hard to find, even though their current studio is hidden in a courtyard deep in Berlin’s Kreuzberg district. Nor because they continue to be notoriously busy, particularly since one half of the band, Jan St Werner (born Jan Stephan Werner), is now a professor in pop music, at the Folkwang University of the Arts in the western German city of Essen. The Collaboration with Lee 'Scratch' Perry After a five-year silence, they are about to release Spatial, No Problem, a collaboration with Lee “Scratch” Perry recorded during the late dub and reggae legend’s whirlwind visit to their former Berlin studio in 2019, two years before his death aged 85. The meeting had been set up by mutual friends, though it was not clear whether it would really happen until Perry arrived at Berlin’s airport – the former Bob Marley producer had a reputation for unpredictability, and dates kept shifting. The Making of Spatial, No Problem The result is a collage-esque fever dream of a record, marrying Perry’s signature free-flowing vocals with a strange, yet warm mix of countless instruments played by friends, all held together by glitchy electronics. They had the idea to record the session as spatial audio, a technology used to mimic a more “natural” hearing experience in 3D. Asking about his familiarity with the technique, Perry answered with a wide grin, and the sentence “Spatial? No problem”. The title to the album was born, which includes recordings that are said to be some of Perry’s last. The Impact of the Collaboration Their reverence for Perry is obvious, every attempt to steer the conversation towards other topics brings the trio back to their time with him. They paint a picture of a creative frenzy: technicians installing microphones whichever corner Perry ended up standing and performing in, friends popping in and out of the sessions, NKishi being proclaimed “God” by Perry in a graffito on the studio’s walls, a general sense of a meeting of minds between artists with a similarly anarchic approach to life and craft. The Future of Mouse on Mars At a moment when the music industry is becoming ever more algorithmic, more optimised, more relentlessly targeting fickle attention-spans on social media, Mouse on Mars remain a genuinely anomalous proposition: a band whose greatest asset is their refusal to be legible. And they have been doing this for 30 years, ending up somewhere entirely different than originally planned – and making it sound, against all odds, exactly where they meant to be.

Lead: A farm owner in Inner Mongolia posted a simple advert for two shepherds, which went viral on Weibo, attracting over 700 applicants and underscoring growing frustration with China’s demanding ‘996’ work culture. Shepherd recruitment sparks unprecedented response on Chinese social media Zuo Xiaoyong posted the advert in late April, seeking two shepherds—preferably a couple—to manage 3,000 sheep on a 2,000‑ha pasture. Duties include summer grazing, winter indoor feeding and cleaning at a ranch 300 km from Xilinhot, near the Mongolian border. The post featured a video of sheep in green pastures and quickly amassed around 59 million views on Weibo. Compensation and applicant numbers reveal wage premium and labor surplus Monthly pay: 8,000 yuan (≈£880/US$1,180) per shepherd, above the national urban average of ~6,000 yuan. Applicants: >700 individuals, including recent graduates, factory workers, and white‑collar staff. Unemployment rates (National Bureau of Statistics, March 2026): overall 5.2 %; youth (16‑24, excluding students) 16.9 %. Escalating discontent with the ‘996’ culture fuels rural job appeal The advert tapped into widespread weariness of the “996” regime—9 am to 9 pm, six days a week—prevalent in many Chinese firms. Workers from megacities such as Shanghai and Chongqing cited extreme hours, physical strain, and lack of personal time as reasons for seeking an alternative livelihood. Potential shift toward agrarian employment could reshape China’s labor dynamics If similar rural‑focused campaigns gain traction, they may pressure companies to improve urban working conditions or spur policy incentives for agricultural hiring. Zuo already has a shortlist of 40+ couples for future roles, indicating a nascent market for “escape‑the‑city” employment.

Ghana has received a contingent of its citizens who were evacuated from South Africa following a surge in local unrest. The return, overseen by the Ministry of Foreign Affairs and the Ghanaian embassy in Pretoria, demonstrates a rapid diplomatic response to safeguard nationals abroad. Coordinated Repatriation Effort Led by Ghana's Foreign Ministry The Ministry of Foreign Affairs organized the evacuation in close collaboration with the Ghanaian embassy in South Africa. Officials arranged transport and ensured that the returnees received immediate assistance upon arrival at Accra's Kotoka International Airport. Evacuation coordinated by the Ministry of Foreign Affairs and the Ghanaian embassy in Pretoria. Returnees processed through customs and immigration with priority handling. Support services, including temporary accommodation and counseling, were provided on arrival. Numbers Behind the Evacuation While the exact figure was not disclosed, Ghanaian officials indicated that the group comprised several dozen individuals, including families and students. The lack of precise data reflects the sensitivity of ongoing diplomatic discussions. Regional Diplomatic Implications of the Repatriation The operation highlights the broader challenges facing West African nations with sizable diaspora communities in Southern Africa. It reinforces Ghana’s diplomatic stance on proactive consular protection and may influence future bilateral engagements with South Africa, especially concerning security cooperation and citizen welfare. Looking Ahead: Strengthening Consular Support for Ghanaian Nationals President Nana Akufo-Addo has pledged to enhance consular services, including establishing rapid-response protocols for emergencies abroad. Anticipated measures include: Expanding the network of Ghanaian diplomatic missions in high‑risk regions. Implementing a real‑time alert system for citizens facing unrest. Increasing funding for emergency travel assistance and repatriation logistics. These steps aim to ensure that future incidents can be managed with greater speed and transparency.

The LeadUganda has taken decisive action by closing its border with the Democratic Republic of Congo (DRC) in an effort to contain the escalating Ebola outbreak. This preventive measure reflects growing concerns about the potential cross-border transmission of the deadly virus in the region.Border Closure as Emergency ResponseThe Ugandan government implemented the border closure after confirming multiple cases of Ebola in neighboring DRC. Health officials have established screening points at all border crossings to monitor travelers for symptoms of the disease. This move comes as part of a broader strategy to prevent the virus from spreading into Uganda, which has previously experienced Ebola outbreaks and has robust protocols in place.Regional Health ImplicationsThe closure of this critical border crossing between Uganda and DRC has significant implications for trade, travel, and healthcare coordination in the region. The move highlights the challenges faced by African nations in balancing public health emergencies with economic necessities. International health organizations, including the World Health Organization (WHO), are closely monitoring the situation and providing support to both nations.Future Outlook and Prevention EffortsHealth experts predict that while the border closure may temporarily reduce transmission risks, long-term containment requires coordinated regional efforts. Uganda's proactive approach sets a precedent for neighboring countries in managing infectious disease threats. The situation underscores the importance of cross-border collaboration and investment in healthcare infrastructure to prevent future outbreaks in the region.

The Lead US President Donald Trump has threatened to use military force against Oman if it collaborates with Iran to control the Strait of Hormuz, a strategic waterway handling over 20% of global oil traffic. Trump's Statement At a cabinet meeting, Trump replied to a reporter's question about Oman and Iran overseeing trade on the strait, saying, "Nobody is going to control it. It's international waters, and Oman will behave just like everybody else, or we will have to blow them up." The Data Analysis The Strait of Hormuz handles more than 20% of the world's global oil traffic, making it a critical waterway for international trade. The Impact Analysis Trump's threat highlights his increasing reliance on military force in his foreign policy, a strategy sometimes called "gunboat diplomacy." Critics have slammed the threat as reckless, with some likening it to the comments of a "mafia boss." The Prediction The situation is likely to escalate tensions between the US, Oman, and Iran, potentially impacting global oil markets and international relations in the region.