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Global Study Quantifies Gender Attractiveness Gap Across AgesThe research team led by Dr Eugen Wassiliwizky at the Max Planck Institute for Empirical Aesthetics compiled the world’s largest dataset on facial attractiveness, drawing from 52 studies across 76 countries.Numbers Behind the Gap: 1.5 Million Ratings Reveal 60% Preference1.5 million attractiveness ratings17,000 distinct faces evaluated30,000 individual ratersAverage female face rated more attractive than 60% of male facesGap strongest in Western cultures, present across all sexual orientationsWhen participants rated themselves, the gender gap vanished, underscoring the role of external perception.Implications for Evolutionary Theory and Social PerceptionThe findings revive debate over Darwinian sexual selection. While Darwin noted male ornamentation in many species, he considered humans an exception where male competition dominated. This study suggests a universal bias toward rounder, more feminine facial structures, which may be linked to infant‑like features rather than purely cultural norms.Historical language—"the fairer sex", "le beau sexe"—reflects a long‑standing perception that the research now quantifies.Future Research Directions and Societal ShiftsAs the attractiveness gap diminishes after age 80, researchers hypothesize that facial structural differences shrink with age, reducing perceived bias. Ongoing work will explore:Neuro‑cognitive responses to facial roundness across agesCross‑cultural variations beyond the current datasetPotential impacts on age‑related social dynamics and media representationThe study, published in Proceedings of the Royal Society B, calls for cautious interpretation but highlights a robust, global pattern that challenges purely cultural explanations.

The Timeless Allure of Tosca Gustav Mahler hated it, and its publisher was convinced it would be a commercial disaster. Critics complained it was mostly just 'noise' and predicted it would quickly be forgotten. But more than 125 years since Tosca's premiere in January 1900, Giacomo Puccini's fifth opera remains one of the most bankable in the business. The Opera's Turbulent Beginnings Puccini's work was initially met with skepticism. Mahler dismissed it as 'papal pageantry with continual chiming of bells.' The problem in 1900 was precisely that Puccini wove 'real-world' sounds of bells and screams, cannonfire and religious chant straight into his score. It was a groundbreaking example of an immersive soundscape, but for some, those sound effects were radically out of place in an operatic work of art. The Data Behind Tosca's Success Over 125 years since its premiere, Tosca remains a popular opera. It is known for its melodic appeal and gripping plot. The opera has been performed in numerous productions worldwide. The Impact of Tosca on Opera Tosca's enduring appeal lies in its combination of overwhelming melodic appeal and a sex-and-death nail-biter of a plot. US director Ted Huffman suggests that 'It's also a study of evil, which we find really entertaining in a horrible way.' The opera's themes of state violence and resistance are particularly relevant today. The Future of Tosca Productions Despite its popularity, there have been few bold reimaginings of Tosca. Most productions stick to the traditional setting in Rome. However, Huffman's new production at Glyndebourne, inspired by 1940s neorealist Italian film, offers a fresh take on the classic opera. The production explores realism and its relevance to today's world.

The Escalating Cost of Russia's War in UkraineEvidence of Russia's poor performance in its war in Ukraine, both militarily and economically, has been mounting over the past week. The US Defence Intelligence Agency (DIA) has confirmed earlier assessments that Russia has lost territory it previously occupied in Ukraine, while Ukraine has managed to reclaim approximately 400 square kilometers in and around Dnipropetrovsk – more territory than at any time since late 2022.Russia's Military Setbacks and Economic StrainRussia has still made a net territorial gain in 2026, but its advance is slowing down dramatically. According to the Institute for the Study of War (ISW), a Washington-based think tank, Russia advanced by a net 104 sq km between January 1 and May 26, 2026, compared to its seizure of 1,619 sq km during the same period last year.Ukrainian President Volodymyr Zelenskyy reported that Russian casualties had increased to 145,000 this year, of which 86,000 were killed and 59,000 troops seriously wounded. Ukraine's Defence Minister, Mykhailo Fedorov, highlighted that this meant 179 Russian losses per square kilometre of advance, compared to 67 last year – a rate higher than what Russia is currently able to replace through recruitment.Russia's war is also becoming increasingly difficult to finance. Having exceeded its entire 2026 budget deficit allowance by April, and depleted its foreign exchange reserves, Russia has been drawing down gold reserves at an unprecedented pace. According to its Central Bank, Russia has sold 27.9 tonnes of its gold reserves this year, worth more than $4bn, leaving reserves at their lowest since the beginning of the full-scale invasion in February 2022.Shifting Battlefield Dynamics and StrategiesThe DIA attributed Ukraine's territorial gains to Russia losing access to Starlink satellite services used for targeting and counter-battery fire. Ukraine attributes its success to its strategy of interdicting Russian logistics through mid-range drone and artillery strikes, which Fedorov described as a programme called "Logistical Lockdown" designed "to scale up middle-strike and systematically destroy Russian capabilities at the operational depth."This Ukrainian tactic has prevented reinforcements of men and equipment from reaching the frontlines, diminishing Russia's superiority in depth of resources and mass. The effectiveness of this strategy was demonstrated when Kherson occupation governor Vladimir Saldo restricted movement along the M-14 highway connecting Mariupol, Berdyansk and Melitopol, due to the number of vehicles being struck there.On the defensive front, Ukraine received a significant boost when Sweden announced it would donate 16 Gripen warplanes to Ukraine, which would also purchase an additional 20 through the EU's Ukraine Support Loan in a deal worth $2.9bn. Zelenskyy noted that "Gripen fighters with appropriate weapons, in particular Meteor missiles, which destroy targets at a distance of more than 200 kilometres, will help us push back Russian aircraft" against the approximately 3,000 Russian glide bombs dropped weekly.Simultaneously, Ukraine continued its long-range strikes on the Russian oil economy, which funds the war. On May 23-24, Ukraine struck oil depots and terminals at Novorossiysk and Tamanneftegaz on the Black Sea, as well as military and industrial sites including the Metafrax Chemicals plant in Perm and the Taganrog Airbase in Rostov.Russia's Response and Escalation TacticsIn response to Ukrainian advances, Russia pursued its own aerial tactic of striking Kyiv through massive combined attacks of drones and missiles. On May 24, Russia launched 600 long-range drones and 90 missiles against Kyiv and surrounding areas, including 36 ballistic missiles. Ukraine managed to shoot down 91 percent of the drones and 81 percent of the cruise missiles, though those that hit damaged government buildings, museums, and a market, injuring at least 87 people and killing two.Russia framed these attacks as retaliation for what it described as a terror attack on a college in occupied Luhansk, which it claimed killed six students and injured 39. Ukraine's General Staff countered that it was a strike on a centre for Advanced Unmanned Technologies run by Rubikon, Russia's unmanned systems force.Russian Foreign Minister Sergei Lavrov informed his US counterpart, Marco Rubio, that Russia would begin striking "military sites" in Kyiv in retaliation, warning foreign citizens, including diplomats, to leave. Moscow specifically mentioned using its newest Oreshnik intermediate range missile in the attacks, which it has also forward-positioned in Belarus.Future Outlook of the ConflictThe current trajectory suggests that Ukraine's strategy of targeted strikes on Russian logistics and supply lines, combined with enhanced air defense capabilities from international partners, will continue to challenge Russia's military advances. However, Russia's demonstrated willingness to escalate attacks on urban centers and its deployment of advanced weaponry indicate that the conflict may enter a more intense phase.As Russia depletes its financial resources and struggles to replace casualties, its ability to sustain current operations may diminish. Conversely, Ukraine's increasing success in securing international military support and refining its asymmetric tactics could shift the balance further in its favor, though the long-term outcome remains uncertain as both sides adapt their strategies.

The Life and Legacy of Frank Land Frank Land, a trailblazing information systems expert, has passed away at the age of 97. November 2026 marks the 75th anniversary of the world's first commercial job run on a stored program computer, which Land contributed to significantly. Early Contributions to Computing On 29 November 1951, the Bakery Valuations job calculated the costs, earnings, and margins of baked goods produced by J Lyons & Co, the UK's largest catering firm at the time. Land joined Lyons in 1953 and became part of the team that developed the Lyons Electronic Office, known as Leo. The Development of Leo Land helped implement systems for payroll, stock control, and distribution for Lyons' 250 high-street tea shops. He wrote programs for tax tables for the Inland Revenue and a suite of linked programs for blending Red Label and Green Label tea. Academic Career and Impact Land's work with Leo led to his founding of the academic study of information systems. In 1967, he became the UK's first professor of information systems at the London School of Economics (LSE), where he developed postgraduate courses integrating technical computer knowledge with business needs. Later Life and Legacy Land continued to contribute to the field, co-editing 'User Driven Innovation' and creating Leopedia, a catalogue of references and holdings related to Leo. He was appointed OBE in 2019 for his services.

UK Study Reveals Air Pollution's Impact on Children's Lung DevelopmentResearch shows that air pollution is slowing the lung growth of children in the UK. Scientists tracked the lung function of more than 5,000 people who were born in and around Bristol in the 1990s. Their health was assessed from birth onwards and their lungs were tested as they grew up, at eight and 15 years old and then as adults, aged 24, when their lung function should have reached its maximum.Longitudinal Study Tracks Lung Function From Birth to AdulthoodProf Ann Hansell, of the University of Leicester, who led the study, said: "Much of the evidence on health effects of air pollution relates to adults or pregnancy, but we think it's highly plausible it has impacts on growth and development of children. Those whose lungs didn't grow to maximum potential in childhood may be more vulnerable to the respiratory diseases of later life because they have a lower reserve."Dr Katie Eminson, also of the University of Leicester and a first author of the study, explained: "Lung function was measured using spirometry by trained technicians. Participants were asked to take a deep breath in, then blow out as hard and as fast as possible into a mouthpiece. A machine measured both the amount of air they can breathe out and the speed of that breath, providing an indication of how well their lungs are working."Pollution Exposure Linked to Reduced Lung CapacityThe researchers calculated the children's air pollution exposure in each trimester of pregnancy and then for each year of early childhood. This included particle pollution as well as nitrogen dioxide, a gas that comes mainly from diesel cars and fossil gas boilers.Hansell noted: "We spent literally years creating the particulate air pollution exposure estimates in pregnancy and early life, including sourcing road traffic data from Bristol city council that are not available in the national database."The researchers allowed for other factors that can affect children's health, including premature birth, breastfeeding, parental smoking and home conditions including damp.They found that breathing more air pollution during pregnancy, infancy and early childhood can slow lung development all the way up to early adulthood. The greatest impact was during adolescence, which is the time when lung growth accelerates.Health Implications Extend Beyond Respiratory SystemThose with reduced lung function face multiple health risks. "They are also more vulnerable to poorer health generally," Hansell explained. "For instance, low lung function in adults is associated with the same level of risk of heart disease as having high cholesterol. Research has also shown that people whose lung health has been affected by air pollution may be at greater risk of heart disease."An earlier study found that air pollution was reducing the growth of children's lungs in east London. There, the average nine-year-old's lungs were between 90 and 100 millilitres smaller than they should be—approximately the volume of two hen's eggs.Studies on children in Sweden showed that lung growth increased when air quality improved. Reductions in air pollution might have also allowed the Bristol children's lung growth to return closer to normal rates.Call for Action on Air Quality ProtectionEminson concluded: "While the effects in individual children are small and unlikely to have immediate clinical consequences, they shouldn't be dismissed. Because lung function tends to track from childhood into adulthood, small differences early in life may have implications for long-term health. This reinforces the importance of reducing exposures and protecting children's environments."

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 Guardian editorial argues that the UK must treat the plight of NEETs as a national priority, linking rising youth unemployment to inadequate training, housing costs and a fragmented policy framework.Milburn Commission Highlights Over 1 Million UK NEETsThe commission’s report, due in the autumn, shines a bright light on the 1 million young people aged 16‑24 who are not in education, employment or training. It criticises political attacks on welfare and “kids‑these‑days” rhetoric, insisting that the problem is fundamentally a policy failure.The Scale of the Crisis: Over 1 Million Young People Out of Work or Study1 million NEETs – roughly one in eight of the 16‑24 cohort.60 % are economically inactive, meaning they are not actively seeking work.Health‑related universal credit claims have risen in regions with fewer entry‑level jobs.Apprenticeship starts have fallen 35 % over the past decade.Why the UK Is Falling Behind Europe on Youth EmploymentCompared with other wealthy European nations, the UK records one of the highest rates of young people not in work or study. Contributing factors include:Housing inflation limiting independent living for young adults.Restrictive GCSE combinations that disadvantage less academic pupils.Chaotic further‑education reforms and the poorly‑implemented apprenticeship levy.Automation and AI‑driven profit growth that do not translate into entry‑level opportunities.A National Participation System: Pathway to Re‑engaging Young WorkersThe report proposes a new “participation system” that would coordinate work and pensions, health, education and business departments to pull young people into the labour market. While ambitious, the editorial stresses that without a clear, cross‑departmental mission the UK will continue to lose a generation to inactivity.

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.

Britain faces a looming fiscal shock of roughly £125 bn each year if the surge in youth worklessness is not tackled, according to a landmark review led by former Labour minister Alan Milburn.The Milburn Review Highlights a £125bn Fiscal DrainThe report, commissioned by the government, labels the growing cohort of young people outside school, work or training as a “lost generation”. It argues that the current trajectory is no longer affordable and may become unsustainable for public finances.Numbers Behind the Crisis: Over 1 Million NEETs and £8.1bn Benefits SpendNEET count in the three months to March 2026: 1,012,000 (first breach of 1 m since 2013).Average lifetime earnings loss per NEET (age 18‑24): £52,000 per year.Annual benefits cost for young people: £8.1 bn, with £4.4 bn directly linked to NEETs.Potential GDP boost if all NEETs were employed: £38 bn extra output.Estimated lifetime public‑finance impact per NEET: £29,000.Why the Growing NEET Population Undermines the UK EconomyThe surge coincides with the highest overall unemployment levels since the Covid pandemic and comes amid broader economic pressures from tax hikes and the fallout of the Iran war. The report warns that the longer a young person remains out of work or study, the costlier the intervention becomes, creating a multibillion‑pound “financial black hole”.Policy Paths and the Likelihood of ReformMilburn calls for a “fundamental reset” of policies across schools, the NHS and the welfare state, arguing that simply expanding work programmes will not address deep‑rooted issues. He estimates that £3.2 bn could be saved if NEETs were in work and earning above benefit thresholds. However, any new welfare reforms may face political resistance after recent controversial benefit changes.