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The Failed Dealmaker: Trump's Iran Dilemma For weeks, Donald Trump has tried to find a way to end the war he started with Iran – a deal that would allow him to declare victory and move past the conflict before it causes severe damage to the global economy and sinks Republican chances in the US midterm elections. But the self-proclaimed master dealmaker can't seem to stop sabotaging his own negotiations or to acknowledge that Iran is now in a better position to demand concessions than it was before the war. Strategic Missteps: From Military Action to Negotiation Deadlock Over the Memorial Day holiday, Trump skipped his eldest son's wedding in the Bahamas and canceled plans to spend the weekend at his New Jersey golf club. The last-minute changes heightened speculation that Trump was ready to unveil a deal to end the war. Trump then announced that he would hold a cabinet meeting at Camp David, the presidential compound in Maryland that has been the site of historic diplomatic summits. But that meeting was moved back to the White House, as it became clear that Trump had not been able to close a deal he could announce with great fanfare. The Art of the Deal: Trump's Negotiation Paradox Why has an agreement eluded the business titan who wrote the bestselling 1987 book The Art of the Deal? Trump admires strongman leaders and is loth to project any sign of weakness – and he's afraid of reaching a deal with Iran that makes him look weak. The president is also sensitive to criticism that any agreement he negotiates will be worse for the US than the 2015 nuclear deal between Iran and six world powers, which was brokered by Barack Obama's administration. Leverage Reversed: How Iran Gained the Upper Hand Trump's main problem is that Iran has more leverage than he does – and Iranian leaders are well aware of that advantage. On 28 February, Trump launched a joint US-Israeli war against Iran, killing the supreme leader, Ayatollah Ali Khamenei, and other top military and political officials. But Iran retaliated with missile and drone strikes against US military bases across the Middle East, and it targeted the energy infrastructure of its Gulf neighbors. Iran also deployed its most effective economic weapon: it closed the strait of Hormuz, through which more than a fifth of the world's oil supply passed each day. Economic Fallout: Global Disruption and Rising Oil Prices The closure of the Strait of Hormuz – along with Iranian attacks on pipelines and gas fields in Kuwait, Saudi Arabia, Qatar and the United Arab Emirates – disrupted the global economy and increased oil prices. In the US, average gas prices have jumped by 50%, up to nearly $4.50 per gallon, since Trump launched the war. Trump and his ally, the Israeli prime minister, Benjamin Netanyahu, could not topple the Islamic regime that rose to power after Iran's 1979 revolution. Instead, they ended up strengthening it – by allowing Tehran to deploy its geographic control of the strait of Hormuz into a weapon that could instigate a global energy crisis and a worldwide recession. The Emerging Deal: Limited Concessions and Unresolved Issues The emerging deal is focused on solving a problem that didn't exist before Trump started this war: fully reopening the strait of Hormuz to commercial shipping so that oil prices can stabilize. Under a draft agreement being circulated to US allies, Washington would also lift its blockade of Iranian ports and allow Tehran to access about $12bn in frozen assets. Once again, Trump seems to be aiming for a limited deal with Iran that defers the most difficult questions to future talks, which could drag out for months or even years. Iran's Resilience: Military Strength Preserved In some ways, Iran has emerged stronger after a war intended to decimate its military capabilities. A CIA report sent to Trump earlier this month found that Tehran had managed to retain a significant part of its missile capabilities. The analysis said Iran preserved about 70% of its prewar stockpile of missiles and about 75% of its mobile launchers. The report also concluded that Iran was more resilient than US officials had claimed, and it could survive a naval blockade for months. Political Calculations: Midterm Elections and Trump's Dilemma At his cabinet meeting, Trump said he didn't care about the midterm elections and wasn't in a rush to reach a deal. "It's got to be perfect," Trump told reporters, adding: "I didn't do this to get a crummy agreement." Despite his weak position, Trump insists that he will strike a better deal with Iran than the one negotiated by the Obama administration in 2015. That agreement provided Tehran with relief from international sanctions in exchange for limits on its nuclear enrichment. The Unintended Consequences: Strengthening the Adversary Trump could have avoided starting a regime-change war that failed, leaving the world to deal with its consequences. Instead, the master negotiator handed Iran a new economic weapon – and more leverage to extract a favorable deal. The worst thing you can possibly do in a deal is seem desperate to make it. That makes the other guy smell blood, and then you're dead. Trump wrote in his famous book. The best thing you can do is deal from strength, and leverage is the biggest strength you can have.

The Inevitable Integration of AI in DevelopmentIn 2026, artificial intelligence has become an inseparable tool for developers, yet this reliance may be masking a critical productivity crisis.Researchers at METR discovered that most developers will not participate in studies without AI assistance.This dependency suggests a psychological shift where AI is no longer viewed as an assistant but a requirement.The "Tokenmaxxing" Crisis and Budget BlowoutsThe trend of measuring productivity by token usage, known as "tokenmaxxing," has led to significant financial waste.Amazon shut down its internal leaderboard, Kirorank, after employees gamed the system to run up costs.Uber reportedly exhausted its 2026 AI budget in just four months without measurable project increases.Self-reported data shows a 2x increase in perceived value, but independent analysis suggests 44% of tokens are spent fixing bugs generated by AI.Code review tools indicate AI produces 1.7x more problems than human code.The Hidden Cost of Speed: Maintenance and QualityWhile AI generates code faster, it introduces long-term maintenance costs that developers are currently ignoring.Programmer James Shore warns that trading a temporary speed boost for permanent indenture is a dangerous strategy.Researchers from Singapore Management University have confirmed that AI-generated code can introduce significant long-term maintenance burdens.The Future of Human-AI CollaborationThe industry is moving toward a model where AI is a junior developer that requires constant oversight.Scott Wu (Cognition) admits his AI agent Devin is currently a junior-to-mid-level programmer.Experts recommend that humans must review AI work as carefully as they would a junior developer's code.Software architecture and security design must remain human-centric tasks.

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 British Solving Championship: An Opportunity for Chess Enthusiasts This week’s puzzle is a chance to enter an annual national competition in which Guardian readers ­traditionally perform well and in ­considerable numbers. White in the diagram, ­playing as usual up the board, is to play and checkmate in two moves, against any black defence. The Event Details The puzzle is the first stage of the annual Winton British Solving Championship, organised by the British Chess Problem Society and sponsored by the investment ­managers ­Winton. This competition is only open to ­British ­residents and entry is free. To take part, simply send White’s first move by post to Nigel Dennis, Boundary House, 230 Greys Road, Henley-on-Thames, Oxon RG9 1QY, or by email to [email protected]. Entry Requirements and Deadline All entries must be postmarked or emailed no later than 31 July 2026. Entrants must provide their name and home address. Juniors under 18 on 31 August 2025 must also give their date of birth. The Competition Structure The best 15-20 players from the postal round, plus the best juniors, will be invited to the final at Harrow school on Saturday 13 February 2027, where the prize money is expected to be at least £1,600. The winner of the final will have the right to represent Great Britain at the 2027 world ­solving championships, an event where GB are often medal contenders. A Note on Chess and Professionals Back in the 1950s most top English players were amateurs, often civil servants or teachers, who competed in tournaments during their vacations. After the 1970s Fischer boom and English successes brought an influx of sponsors, chess professionals could earn a decent living, but the tide turned again during the 1990s. The breakup of the Soviet Union brought harder international competition, while Nigel Short’s world title defeat and the move to screen rather than print marketing drove sponsors away. A New Grandmaster: Harry Grieve Harry Grieve became England’s latest grandmaster on Tuesday when the 25-year-old, who was British champion in 2022 and helped CSC/Kingston finish second in this season’s UK 4NCL League, won first prize in Budapest with a 7/9 total.

Why a Living AI Glossary Matters NowArtificial intelligence is reshaping every industry, but its rapid evolution has spawned a parallel explosion of terminology that can leave even seasoned technologists feeling insecure. TechCrunch’s new glossary aims to provide a single, regularly‑updated reference that translates the most common AI buzzwords into plain language.Key Definitions from AGI to RLHFThe article walks readers through a spectrum of concepts, including:Artificial General Intelligence (AGI) – AI that outperforms humans on most economically valuable tasks, as defined by OpenAI and Google DeepMind.AI Agent – An autonomous tool that can perform multi‑step tasks such as expense filing, ticket booking, or code maintenance.API Endpoints – “Buttons” that let software components interact, enabling agents to automate third‑party services.Chain‑of‑Thought Reasoning – A technique that breaks problems into intermediate steps to improve accuracy.Compute – The hardware (GPUs, CPUs, TPUs) that powers AI model training and inference.Deep Learning – Multi‑layered neural networks that learn features directly from data.Diffusion – The process behind many generative AI models that learns to reverse noise‑added data.Distillation – A teacher‑student method for creating smaller, faster models like GPT‑4 Turbo.Fine‑Tuning – Adding task‑specific data to a pre‑trained model to improve performance.GAN – Generative Adversarial Networks that pit a generator against a discriminator to produce realistic outputs.Hallucination – When models generate inaccurate or fabricated information.Inference – Running a trained model to make predictions, often accelerated by specialized hardware.LLM – Large Language Models that power assistants such as ChatGPT, Claude, Gemini, and Llama.Memory Cache (KV Caching) – An optimization that stores intermediate calculations to speed up inference.Open Source vs. Closed Source – The debate over publicly available model code (e.g., Meta’s Llama) versus proprietary systems (e.g., OpenAI’s GPT).Parallelization – Executing many calculations simultaneously, a cornerstone of modern AI hardware.RAMageddon – The current shortage of memory chips driven by AI data‑center demand.Recursive Self‑Improvement (RSI) – Models that can redesign themselves, a potential step toward singularity.Reinforcement Learning from Human Feedback (RLHF) – Training models with reward signals to improve helpfulness and safety.Tokens & Throughput – The basic units of text processing that determine cost and performance.Quantifying the AI Vocabulary ExplosionThe glossary covers more than 30 distinct terms, each accompanied by concise explanations and links to deeper resources. By cataloguing this breadth, the piece highlights how quickly the AI lexicon has expanded within just a few years of mainstream adoption.Implications for Developers, Investors, and the PublicUnderstanding this terminology is no longer optional. For developers, clear definitions accelerate product building and reduce miscommunication when integrating APIs or deploying agents. Investors gain a sharper lens for evaluating startup pitches that hinge on concepts like fine‑tuning or distillation. Meanwhile, the broader public can better assess claims about “AGI” or “hallucinations,” mitigating hype‑driven misinformation.Future of AI Terminology and Industry AdoptionTechCrunch positions the glossary as a “living document,” promising regular updates as new techniques (e.g., emerging diffusion variants or next‑gen RLHF methods) appear. As AI systems become more autonomous and specialized, the vocabulary will continue to evolve, making ongoing education essential for anyone interacting with the technology.

Sunak’s Financial Literacy Initiative Stirs ControversyPrime Minister Rishi Sunak has called for a nationwide push to teach children how to handle money, insisting that the UK lags behind countries such as Germany. His broader vision ties financial literacy to an ambitious plan to keep maths in the classroom until the age of 18, sparking a heated debate among educators, former ministers and commentators.Proposed Extension of Maths to Age 18 and Its RationaleSunak’s proposal frames mathematics as the gateway to sound financial decisions. He argues that without a solid grounding in arithmetic, percentages and interest rates, young people cannot navigate inflation, assess risk or detect scams. The plan would make advanced maths a compulsory subject through the end of secondary education, effectively reshaping the national curriculum.Youth Unemployment and Education Gaps: The Numbers Behind the DebateApproximately 1 million 16‑24‑year‑olds are currently not in education, training or employment – roughly one in seven of them hold university degrees.This inactivity rate is double that of Ireland and three times higher than the Netherlands.Recent government measures aim to create 200,000 new apprenticeships, yet the overall transition support for school leavers remains weak.Why the Curriculum Push Could Reshape UK Education and EconomyThe emphasis on compulsory financial numeracy challenges the long‑standing “academic‑first” model of British schooling, which prioritises examinations over practical life skills. Critics warn that making advanced maths mandatory may marginalise students who would benefit more from broader competencies such as health literacy, civic engagement and basic budgeting. If adopted, the policy could influence employer expectations, apprenticeship uptake and long‑term economic productivity.What the Next Five Years May Hold for Financial Literacy in SchoolsShould the government follow through, we can expect a phased rollout of new curricula, teacher training programmes and assessment frameworks centred on real‑world financial scenarios. However, resistance from teachers’ unions and concerns over curriculum overload could delay implementation. In the medium term, successful integration may lower youth financial insecurity and improve labour‑market readiness, while failure could reinforce the gap between academic qualifications and employability.

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."

The Royal Legacy of Oak ApplesOnce a public holiday celebrating the restoration of the monarchy, Oak Apple Day (May 29th) marks a fascinating natural phenomenon where oak trees develop galls known as 'oak apples' through the lifecycle of the Biorhiza pallida gall wasp. These remarkable structures support diverse ecosystems and represent a unique intersection of natural history and royal heritage.The Biology Behind the Royal SymbolThe oak apples begin forming when an agamic, wingless female oak apple gall wasp emerges from a gall in the oak's roots. She climbs the tree and injects a cluster of eggs and venom into a leaf bud. The hatched grubs then produce substances that cause a tumor-like effect on the oak cells, forming the apple-like gall. Inside this protective structure, the larvae feed in individual chambers until they mature.A Microcosm of BiodiversityThe oak apple gall serves as a complex habitat supporting numerous species. Beyond the Biorhiza larvae, other gall wasps live commensally within the structure, including inquiline species and hyperparasitic wasps that feed on the primary inhabitants. Additionally, specialized communities of fungi and microbes thrive within the gall, creating a miniature ecosystem within the larger oak tree environment.From Royal Celebration to Natural RestorationWhile Oak Apple Day is no longer observed as a public holiday, the natural phenomenon it commemorates continues its annual cycle. The transformation from shiny, cherry-like galls to larger, browner, mottled structures represents the progression of the gall wasp lifecycle. As larvae mature and emerge as adults—some winged males flying off to find mates, others wingless females descending to lay eggs in rootlets—the cycle continues, connecting generations through this remarkable biological process.A New Celebration of Natural HeritageAs we move forward, perhaps Oak Apple Day can be reimagined not just as a celebration of royal restoration, but as a recognition of nature's resilience and the intricate connections between species. The ancient oak trees, older than Charles II himself, stand as living monuments to both historical events and natural processes. Their galls, once symbols of royal escape, now represent the complex, interdependent web of life that continues to thrive in the English countryside.

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.