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The Discovery of Tool Use in Bees Bumblebees can use tools to solve a problem, according to experiments that demonstrate their remarkably advanced cognitive abilities. The bees were given an adapted version of an experiment that, 100 years ago, first demonstrated chimpanzees could work out how to retrieve an out-of-reach banana by stacking boxes. The Experiment and Its Findings In the latest research, bees were shown to be able to roll a polystyrene ball to a specific location and climb on to it in order to access an artificial flower on a low ceiling. The findings challenge the longstanding assumption that insects operate purely on instinct and mindless trial-and-error learning. The Implications of Bee Intelligence “Most people think insects are reflex-based machines,” said Dr Olli Loukola, a behavioural ecologist at the University of Oulu, Finland, and senior author. “That they can’t have any emotional states or feel pain. Some people don’t even realise that they have brains. I hope that these results change the worldview about that.” The Complexity of the Challenge The bees, which were only a couple of weeks old, were first trained to associate a blue artificial flower with a reward of sugar water. During the test, the flower was moved to the ceiling of a transparent petri dish-style chamber whose ceiling was too high for them to reach, but with insufficient space for them to hover. A ball was also introduced into the chamber. To reach the flower, the bee had to roll the ball under it and climb on top – a behavioural sequence they had never previously encountered or been trained to perform. The Results and Their Significance In the most basic version of the test, 75% of the bees were successful in reaching the flower. “This is essentially an insect version of the classic ‘box-and-banana’ problem,” said Loukola. “The animal must realise that an object can be repositioned and then used as a tool to reach an otherwise inaccessible goal. What stands out about the result is that this kind of spontaneous problem solving is now demonstrated in an insect.” The Future of Bee Research “We are not claiming that bees think like humans,” said Loukola. “But our findings show that miniature brains can generate flexible solutions to novel problems in ways we are only beginning to understand.”

Lead: Customers Stuck Between Closed Branches and Unreliable Apps When the Lloyds branch in Staines shut its doors, long‑time customer Patricia Payne—who travels four miles from Chertsey for cash withdrawals—found herself with "one option" left for in‑person banking. The closure coincided with an IT outage that left thousands of Lloyds customers unable to make payments, highlighting the fragility of relying solely on digital channels. Lloyds Shuts Staines Branch Amid Ongoing IT Outage The Staines branch, one of two Lloyds closures in Surrey that week (the other in West Byfleet), was part of a plan to shutter almost 150 outlets by March 2027. The branch’s poster urged customers to use the mobile app, yet many, like the 78‑year‑old Payne, struggle with online banking and depend on physical counters for withdrawals and transaction help. Scale of UK Bank Branch Closures: 6,795 Since 2015 Since January 2015, a total of 6,795 bank branches have closed across the UK, representing 69% of the branches that were open at the start of 2015. Overall, around 7,000 branches have disappeared since 2015, with a peak in closures in 2017. Lloyds and Santander have announced fresh rounds of closures this year. Consequences for Rural Communities and Small Businesses Residents of Surrey’s high streets describe the area as a "banking desert". Without nearby branches, pensioners and tradespeople must queue at post offices or rely on cash machines in supermarkets. Small‑business owners like fruit‑and‑veg stallholder Radhe Mali warn that the loss of local banks hampers cash‑based operations, while customers such as Lynne Bulmer express anxiety over the shift to online banking. Future Outlook: Government Review and Potential Policy Response In response to mounting public concern—a YouGov poll found 76% of Britons consider local branch access important—the government launched an independent review to assess the real‑world impact of branch closures and identify who is most affected. The review may lead to regulatory measures aimed at preserving face‑to‑face banking services, especially in underserved areas.

The Rise of Advanced Robotics The world of robotics is on the cusp of a significant breakthrough, often likened to the moment when ChatGPT burst onto the scene, revolutionizing the field of artificial intelligence. Recent developments in humanoid robotics, particularly in China, are drawing considerable attention. China's Robotics Revolution China is at the forefront of this robotics revolution. The country is making substantial strides in developing advanced humanoid robots that can perform tasks with increasing sophistication. Key Developments in Robotics Beijing Half Marathon Participation: Humanoid robots recently participated in the Beijing half marathon, showcasing their rapid advancements in mobility and endurance. Technological Advancements: These robots are being developed with cutting-edge technology, enabling them to perform complex tasks and interact more naturally with humans. The Future of Robotics As robotics continues to evolve, we can expect to see even more integration of AI technologies, potentially leading to robots that can learn, adapt, and interact in increasingly complex ways. The comparison to ChatGPT's impact on AI is not far-fetched, as both fields are on the brink of significant leaps forward. Implications and Predictions The advancements in robotics have profound implications for various industries, from manufacturing and healthcare to transportation and service sectors. As these technologies mature, we can anticipate a significant transformation in how tasks are performed and how humans interact with machines.

The Shift in Defense EthicsFormer GCHQ head David Omand has called for the integration of moral guidelines into future AI-powered weapon systems, arguing that autonomous drones are the only way to manage the speed of modern warfare. Omand, who previously chaired a 2014 commission on armed drones expressing doubts about AI's ability to distinguish civilians, now believes technology can "formalize moral authority" to ensure compliance with international humanitarian law.From Skepticism to "Adaptive Moral Control"Omand's intervention marks a significant pivot in the debate over autonomous weapons. He proposes an "adaptive moral control layer" where humans set the parameters of a mission—such as the expected proximity of civilians—before deployment. The AI then operates within these constraints, making split-second targeting decisions that reflect "sound moral reasoning." This approach aims to move away from the "in the loop" model, where a human authorizes every action, to an "on the loop" model where humans supervise the system's parameters.The $54bn AI Arms RaceThe push for ethical AI in warfare is fueled by massive investment and the reality of modern combat. The US is aggressively pursuing this technology, allocating $54bn for autonomous systems in its 2027 budget. This spending is driven by the need to shorten the "kill chain" in conflicts like the Iran war, where AI tools from companies like Palantir and Anthropic are already being deployed to process data faster than human operators can react.Redefining Human Oversight in CombatThe debate is fundamentally changing how military leaders view human involvement. Omand argues that relying on humans to make every decision in the "heat of combat" is operationally impossible and likely to lead to worse collateral damage. Instead, he envisions a future where machines execute attacks under strict human-defined ethical boundaries. However, critics like Chris Cole of Drone Wars UK argue that AI is merely a data processor incapable of the cognitive judgment required to distinguish combatants from civilians or judge proportionality.The Future of Automated WarfareThe consensus among defense analysts is that the shift to "on the loop" systems is inevitable. As warfare accelerates, the ability to program ethical constraints into autonomous systems may become a standard requirement for military capability. The challenge moving forward will be ensuring that these "moral codes" are robust enough to prevent civilian casualties while maintaining the speed advantage that AI provides.

The Future of Warfare: AI-Powered Drones Should the AI-powered drones of the future have a licence to kill? The question is becoming ever more pressing as governments and the defence industry acknowledge that drone systems will play an increasingly crucial role in future warfare. The Moral Dilemma of Autonomous Weapons With drones being deployed in huge numbers in the Ukraine war and AI being used to assist bombing missions in the Iran conflict, there is an expectation among some observers that weapons will have to operate with increased operational autonomy, which means they will need something approximating a moral framework. Expert Opinions on AI and Morality Last year Mustafa Suleyman, chief executive of Microsoft’s AI arm and a co-founder of the UK-based DeepMind, was unequivocal about the issue of machines making moral decisions. He said: “AIs cannot be people – or moral beings.” David Omand, the former head of the UK spy agency, GCHQ, believes AI can create a “moral” configuration for unmanned weapons. The UK armed forces minister, Al Carns, told the Financial Times recently there must be an option to “take the human out of the loop” in decision-making. The Challenges of Programming Morality Zee Talat, an academic specialising in machine learning at the University of Edinburgh’s school of informatics, argues that large language models – the technology that underpins modern generative AI systems such as chatbots – are fundamentally incapable of moral decision-making. “If you have a machine that’s probabilistic by nature it will veer towards the most likely answer in a situation. Do we think that morality follows probabilistic notions?” The Debate on Autonomous Weapons Governance Jessica Dorsey, an assistant professor of international law at Utrecht University in the Netherlands, raises concerns about determining whose morality the drone is following, given the United Nations is still trying to achieve a global consensus on autonomous weapons governance. “War is filled with so many variables and it is a given that things will go wrong. And when that happens at AI-like speed, it is difficult to unravel.” The Future of AI-Powered Drones Some experts argue that giving drones greater autonomy, and programming rules of engagement and morality into them, will be a necessity if other nation states continue to develop and deploy similar technology at pace. Nicholas Wright, a neuroscientist and author of Warhead, a book on the human brain and war, says: “For any military to compete effectively against other high-end militaries it is going to need a large amount of systems that will be required to take decisions on their own.” Olaf Hichwa, the co-founder of Neros, a US drone startup, believes that drones will not replace human decision-makers, but enhance the abilities of their human pilots.

The Return of Mira Murati to the Public StageMira Murati, former CTO of OpenAI and current CEO of Thinking Machines Lab, has made her first major media appearance in approximately 18 months, sitting down with Bloomberg in San Francisco. This rare public appearance comes as Murati's company, which has been operating largely in the background, seeks to establish its presence in an increasingly competitive AI landscape.Thinking Machines' New Approach: Interaction ModelsDuring the interview, Murati previewed what Thinking Machines is calling "interaction models," described as a fundamentally different kind of AI interface. Unlike the traditional turn-based, prompt-and-response dynamic common in most AI products today, the company's models are designed to process continuous streams of audio, text, and video in 200-millisecond intervals. This approach aims to capture the nuances of human communication—including interruptions, mid-thought corrections, and pauses—in something closer to real time.Murati emphasized that this approach aligns with her lab's core thesis that the path to powerful AI runs through closer human collaboration, not around it. She was careful to frame it as a first step rather than a finished product, declining to specify a release date.The Competitive AI LandscapeThe timing of Murati's public return is strategic. While Thinking Machines has spent the past year and a half operating in the background—raising capital, hiring researchers, and shipping one product, Tinker (an API for fine-tuning open-source AI models)—its competitors have grown more omnipresent. OpenAI, where Murati spent six years as CTO, remains constantly in the news cycle. Anthropic has gained significant momentum, and Elon Musk's xAI has been folded into SpaceX ahead of what is expected to be a massive public offering.In this environment, Murati acknowledged that staying heads down has diminishing returns, and at some point, a company must make noise to remind the market it exists.Reflections on OpenAI's Leadership CrisisMurati also addressed the chaotic week in November 2023 when OpenAI's board fired Sam Altman, and she became interim CEO—an event referred to internally as "the blip." She expressed clarity about her decisions during that period, stating that protecting the mission and team guided her choices even as the situation appeared to be unraveling externally. Murati claimed the company would have "imploded" without her involvement during those five days and their immediate aftermath.In retrospect, she acknowledged she would have pushed harder for more information, a better transition plan, and more transparency. When asked if she still trusts her former boss, she sidestepped the question, instead focusing on her broader concern about the concentration of consequential decisions in too few hands across the industry.Talent Challenges and Compensation CultureChang pressed Murati on the departures of several high-profile researchers from Thinking Machines in recent months, a subject Murati has largely avoided in public. She explained that building a frontier AI lab from scratch compresses years of normal organizational volatility into months. Regarding compensation—the nine-figure packages that have become standard in the AI talent war—Murati suggested it isn't usually the whole story behind talent decisions."When I wake up in the morning, I am not thinking about how to kill the competitor," Murati quipped, drawing audience laughter and highlighting her competitive approach to building rather than destroying.The Future of AI and Human AgencyWhen asked about the future of AI and its impact on humanity, Murati pushed back on both inevitable dystopia and inevitable utopia scenarios. She argued that neither outcome is predetermined and that the current period will determine which direction things go. However, she warned that if humans "take their hands off the wheel too soon," the future will look very different, and not better.Born in Albania and speaking with a slight Eastern European accent, Murati emphasized the importance of maintaining human agency in AI development, reflecting on concerns about mass job displacement and potential misuse of AI for harmful purposes like creating chemical weapons.

The Intersection of AI and Classical Music The disquiet and distrust surrounding artificial intelligence among artists and creatives remain real and consequential, and the language used by leading arts commentators is often apocalyptic: AI will decimate the arts, it is evil, it is the devil. Like many emerging technologies, AI has been driven by the corporations at the forefront of its creation. Introduced to the public at a rapid rate and continuously evolving, machine learning has become closely entwined with fear, antipathy and foreboding. The RBO/SHIFT Festival: Exploring AI in Opera The upcoming RBO/SHIFT festival at the Royal Opera House aims to interrogate all sides of this fast-evolving landscape to enable artists, performers, creatives and audiences to think deeply and widely about where we are now, and where we may be tomorrow. Machine learning represents a seismic shift, both in society and in the arts, and we need storytellers, artists, teachers and thinkers in this space to help determine the direction of that shift and help us navigate this unfamiliar territory. The Data Analysis: Understanding AI's Impact on Opera Opera is a particularly good place from which to examine technology. It synthesises multiple art forms – music, visual arts, architecture, poetry, dance, theatre and film – making it both niche and remarkably broad. Opera has also always engaged with technology. From its emergence around 1600, opera makers embraced the latest inventions: pyrotechnics, automata, flying machinery and trapdoors. Later came electric lighting, film, digital media and advanced acoustics. The Impact Analysis: Collaboration and Creativity Having spent the past year discussing AI with makers, coders, researchers, composers and performers, I am not sure it is possible for this technology to decimate the arts. The most written-about aspect of machine learning – generative AI creating images, words and music – is, in many ways, the least interesting. There have been operas created with and by AI for decades by researchers and musicians, yet these have had little impact on the creation of new work more broadly. The Prediction: A Future of Collaboration AI appears to have emerged suddenly, but in reality it is part of a continual expansion of technology that has unfolded over centuries. It is also a space in which differing artistic and imaginative voices are essential. RBO/SHIFT asks two questions: what can AI do for creatives, and what can creatives do for the world in the age of AI? As our interaction with machines becomes ever more prevalent, it may be that, rather than decimating the arts, AI will lead us to value them even more highly, protect and preserve them.

Report Calls for Accelerated Scaling of Novel Carbon Dioxide Removal TechnologiesHumanity must remove carbon from the atmosphere with new technologies at a pace that outstrips even the rapid deployment of solar panels, according to the third‑edition State of CDR report released on 2 June 2026.Current Contribution of Novel CDR: 0.1% of Global CO₂ RemovalNovel CDR methods—direct‑air‑capture machines and chemical processes such as biochar production—account for just 0.1% of the 2.2 bn tonnes of CO₂ removed worldwide each year.Annual growth rate of novel CDR: 40% year‑on‑year.Planned removal pledges: 2.7 bn tonnes by 2035 and 3.6 bn tonnes by 2050.Only one‑fifth of recent capacity targets have been delivered.Policy Volatility and Corporate Pullback Threaten CDR MomentumThe report flags “fragile” support, citing the United States’ policy reversals under former President Donald Trump and the recent pause by Microsoft on buying novel CDR credits, which represent 82% of the market.Analysts warn that first‑mover actions that are not widely diffused could create systemic vulnerability.What the Next Five Years Must Deliver for the 1.5°C GoalScientists say the next half‑decade is critical to embed novel CDR into climate pathways, allowing it to offset hard‑to‑avoid emissions and to pull temperatures back down after an inevitable “overshoot”.Without large‑scale deployment, even impermanent removal methods will be insufficient to curb extreme climate impacts projected beyond this century.

Executive Overview: AI Boom Fuels a New Socio‑Economic DivideThe surge of artificial‑intelligence investment in the San Francisco Bay Area resembles a modern gold rush, yet beneath the hype lies a growing anxiety that a permanent underclass could emerge worldwide.From Bay‑Area Gold Rush to Global Underclass ConcernsTop programmers are being courted with compensation packages worth hundreds of millions of dollars, and early‑stage engineers are already contemplating retirement before age 35. Billboards line the Bayshore Freeway promoting hyper‑niche AI products, underscoring how lucrative targeting founders has become compared with traditional advertising.Despite this wealth concentration, many young tech elites fear that failure will relegate them to the “permanent poor” as AI automates large swaths of white‑collar work, especially coding.Compensation Packages and Regional Disparities: The Numbers Behind the FrenzyOffers of hundreds of millions to switch firms illustrate the premium placed on AI talent.Early‑stage employees consider exiting the workforce before 35, a stark contrast to typical career trajectories.South Korean giants Samsung and SK Hynix have become trillion‑dollar players thanks to AI‑driven demand for memory chips.Europe’s standout is ASML, holding a near‑monopoly on high‑end lithography machines.Why the AI Economy Threatens Developing Nations and Mid‑Level WorkersCountries that cannot secure a foothold in the AI supply chain risk being left behind. Africa and Latin America lack the electricity infrastructure and capital needed for data‑centres, while mineral‑rich nations may see AI‑related revenues but lack institutions to distribute them.India’s massive outsourcing sector faces exposure as AI replaces mid‑level white‑collar roles, even though the country possesses deep technical talent that often migrates to California.China, already an AI powerhouse, is only beginning to grapple with the social implications of large‑scale job displacement.The United States, despite its dynamism, may see wealth concentrated among a small group of first‑movers unless policy intervenes.Scenarios for Mitigating an AI‑Driven UnderclassImplementing a universal basic income funded by progressive taxation of AI‑generated profits.Investing in basic infrastructure—electricity, broadband, and education—in Africa and Latin America to enable participation in the AI value chain.Strengthening institutions in mineral‑rich economies to ensure AI‑related revenues are channeled into public services.Encouraging corporate responsibility among Silicon Valley firms to share gains with broader society.Without coordinated action, the AI economy could deepen existing inequalities, creating a permanent underclass that spans continents.