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The Political Shift in Enfield's Housing PolicyEnfield council in north London has withdrawn from the government's new towns programme, in a significant blow to Labour's flagship housebuilding scheme. The move by the new minority Conservative-led administration could present one of the first tests of Rachel Reeves's planning reforms, designed to curb the use of judicial reviews against new infrastructure.The New Towns Project and Its SignificanceThe project to build 21,000 homes at Crews Hill and Chase Park on the northern fringes of London was selected in March for the new towns programme along with six other locations across England. The new towns scheme has been heralded by the housing and communities department as the most ambitious housebuilding project in England for half a century and is regarded as a significant step towards helping Labour achieve its goal of building 1.5m homes during this parliament.Local Opposition and Political ChangeThe withdrawal comes after significant local opposition to the Enfield plan to build homes, shops, schools and services such as doctors' surgeries on green belt land currently occupied by several garden centres and family-run businesses. Enfield council, which was previously run by Labour, had already devised a plan to build homes at Crews Hill and gave its backing to the new town proposal.However, Labour lost control of the council in the local elections earlier this month and on Wednesday evening Conservative councillor Alessandro Georgiou was elected leader of the authority's minority Tory administration. The Conservatives pledged during the election campaign to halt the new town development if they took control of the council.Economic and Environmental ConsiderationsOn Thursday, Georgiou sent a letter to the minister for housing and planning, Matthew Pennycook, informing him that the council no longer supported the proposals to develop land at Crews Hill and other parts of the borough's green belt. In his letter to the Ministry of Housing, Communities and Local Government (MHCLG), Georgiou said the council would work with the government to deliver new homes and jobs in the borough, but would focus on brownfield sites and town centre regeneration.Enfield council owns just under a third (30%) of the land in the borough, while other land earmarked for the development belongs to private landowners. The majority of private landowners did not want to sell, according to Nina Barnes, owner of the Culver garden centre site at Crews Hill, close to the centre of the proposed new town development.Future Implications for Housing PolicyThe withdrawal of Enfield from the new towns programme could have wider implications for the government's housing strategy. Other locations in the programme may face similar local opposition, particularly when development plans involve green belt land. The government may need to reconsider its approach to engaging with local authorities and communities on major housing projects.An MHCLG spokesperson said: "Our landmark national new towns programme will restore the dream of homeownership for people across the country. We recently consulted with local people on the proposals and will respond in due course." This suggests the government may continue to push the programme forward despite Enfield's withdrawal, potentially leading to further political conflicts between central and local government.

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.

Mark Carney, Canada’s prime minister, called for a renewed US‑Canada partnership in a New York speech, framing it as a way to “help make America great again” and to boost Canada’s strategic autonomy ahead of the USMCA review.Carney Proposes a “True Partnership” in New York SpeechSpeaking in New York on Thursday, Carney said the two nations need a “true partnership” that re‑imagines cooperation in sectors under intense global competition. He argued that diversification away from the United States must be balanced with deeper collaboration on shared challenges.Trade Numbers Highlight Canada’s Strategic ValueCarney backed his call with striking statistics that underscore Canada’s importance to the U.S. economy:Canadian aluminium exports to the U.S. equal the energy output of 10 Hoover dams.Canada supplies 99% of U.S. natural‑gas imports, 85% of electricity imports and 60% of crude‑oil imports.Canada is the United States’ biggest customer for automobiles, outpacing China, Japan and Germany combined.Canada holds vast reserves of potash, nickel, copper and uranium, critical for food security, defence and AI‑driven energy demand.Implications for North American Trade and GeopoliticsThe speech signals a shift from confrontational rhetoric—exemplified by former President Donald Trump’s trade war and talk of annexation—to a strategic alignment that could reshape North‑American supply chains. By positioning Canada as a reliable source of critical minerals and energy, Carney aims to reduce U.S. vulnerability to “weaponised integration” and to counteract the “American hegemony” narrative he raised at Davos.What the Next USMCA Review Could Mean for Bilateral TiesThe mandatory USMCA review in July will test whether the proposed partnership can translate into concrete policy changes. If Canada’s proposals on aluminium, steel, automotive integration and critical minerals are embraced, the agreement could evolve into a deeper economic bloc, strengthening both nations’ competitiveness against China and other global rivals. Conversely, a failure to reach consensus may reignite tariff disputes and weaken the “strategic autonomy” Carney seeks.

The Deadly Night at the Boarding SchoolA devastating fire has swept through a girls' boarding school in Kenya, resulting in the tragic loss of 16 students. The incident has sent shockwaves through the nation and raised urgent questions about safety standards in educational facilities.Emergency Response Under ScrutinyEmergency services responded to the scene, but the fire had already caused extensive damage. Authorities have launched an investigation to determine the cause of the blaze and whether proper safety protocols were followed. The school's administration is cooperating with investigators as they work to understand what led to this preventable tragedy.Systemic Safety Failures ExposedThis incident has cast a spotlight on safety conditions in Kenya's boarding schools, many of which operate with aging infrastructure and limited safety measures. Education officials face mounting pressure to review and enforce stricter safety standards across all educational institutions in the country.Nation in MourningThe local community and the wider nation are mourning the loss of these young lives. Vigils have been organized, and parents are demanding immediate action to ensure the safety of all students. This tragedy has ignited a national conversation about educational safety and the need for comprehensive reform.Toward Safer SchoolsIn the aftermath of this devastating incident, Kenya's government is expected to announce new safety measures for boarding schools nationwide. These may include improved fire detection systems, regular safety audits, and enhanced emergency response protocols to prevent such tragedies from occurring in the future.

The Lease Duration Dispute A controversy has arisen regarding the length of Anthropic's lease with SpaceX, a deal that involves billions of dollars a month for exclusive use of Anthropic's Colossus cluster. Elon Musk claimed on X that the lease is for 180 days with a 90-day notice for mutual cancellation, while SpaceX's recent S-1 filing presents the deal as a three-year agreement. The Details of the Deal According to Musk, the short-term lease was SpaceX's request, not Anthropic's. He stated that SpaceX won't leave Anthropic hanging and will provide a reasonable off-ramp, but might need the compute capacity back if it gets super tight. On the other hand, SpaceX's S-1 filing confirms a 90-day cancellation notice but describes the agreement as lasting through May 2029, with a monthly fee. The Data Analysis The deal involves a significant monthly fee of $1.25 billion, as mentioned in the S-1 filing. This substantial commitment highlights the importance of the compute capacity for both parties. The Impact Analysis The discrepancy between Musk's statement and SpaceX's filing raises questions about the accuracy of the information provided. This situation could be seen as a material misrepresentation made while marketing a security, which could have implications for investors and the companies involved. The Prediction The future of the lease and the relationship between Anthropic and SpaceX will depend on how this situation unfolds. With the SEC possibly involved, the companies will need to clarify the terms of the agreement to avoid any further controversy.

The Launch of Sesame's Conversational AI On Thursday, the AI startup Sesame, co-founded by Oculus' founders and others from the VR company that sold to Meta, released a public preview of the conversational AI agents it's been developing for over a year. With its new iOS app, Sesame is rethinking the traditional AI chatbot experience popularized by apps like ChatGPT, creating one where conversation flows, even if the AI needs time to think. Reimagining AI Conversation Flow As the company explains in its launch announcement, "There's an inherent tension between replying quickly and taking the time to compose thoughtful responses. A slower response is usually more correct, but it can also feel unnatural if it takes too long." To address this challenge, Sesame claims to have built fast search and retrieval systems, so the AI can have up-to-date information, as well as technology that allows it to run multiple parallel searches while speaking, weaving those results into its responses as it talks. That means the AI will talk more like a human, even pivoting mid-sentence if need be, as it taps into newer information — as a human might when remembering another key fact or point they want to add. User Growth and Development Milestones The app offers four distinct AI agents called Maya, Miles, Simone, and Charlie, each of which have their own distinct voice, personality, point of view, and memory. Maya and Miles were previously available in Sesame's Research Preview of its technology, where they were soon accessed by over one million people within the first few weeks, said Sesame investor Sequoia at the time. (The company had then just raised its $250 million Series B from Sequoia and others and was opening up a beta.) During the beta, Sesame learned from user feedback and rolled out features such as search cards with image results for visualizing concepts, notes for capturing takeaways, a texting mode for those times when speaking aloud is not an option, and support for deep dives where you can get more in-depth results. There's also a new incognito mode for private conversations, which allows the agents access to prior context but saves nothing to memory. Transforming the AI Landscape The app, however, is only the first step toward Sesame's bigger plans for AI involving intelligent eyewear, which the team expects to launch in 2027. Before that, the agents will also learn to do more than just think with you, Sesame hints, suggesting they'll later be able to take action on your behalf — hence why they're called "agents" in the first place, instead of just chatbots. That is potentially even more interesting, as working with agentic tools or apps today requires being able to prompt for what you need and have a specific idea of what you want to happen, and sometimes, even how it should happen. A conversational agent that you could talk to naturally could help you take the next steps, without you having to perfect the command you're giving it. The Road to AI-Powered Eyewear The iOS app is out today in 39 countries, and the full experience is free for the time being. However, there still may be a short waitlist at sign-up. An Android preview is coming in the future, the company says.

Death of Yemen's Exiled Leader Marks End of an EraYemen's former president Abd-Rabbu Mansour Hadi, who fled house arrest by Houthi rebels and spent his final years in exile in Saudi Arabia, has died at age 80. Yemen's presidency confirmed the death, with state-run Yemeni TV reporting that Hadi died at his residence in Riyadh on Thursday.Former President's Life in ExileHadi was the internationally recognized president of Yemen who led a fractured government mostly from exile for eight years as the country descended into civil war and famine before stepping down in 2022. He fled to Saudi Arabia in 2015 as war erupted between the Iran-backed Houthis, who had forced the government from the capital Sanaa, and a Saudi-led coalition.The government announced three days of mourning, during which flags will be flown at half-staff. Hadi is survived by his wife, Hala, and six children.Human Cost of Yemen's ConflictAlthough a UN-brokered ceasefire is largely holding, the war has killed hundreds of thousands of people through direct and indirect causes. Last year, 19.5 million people needed aid, the United Nations reported. Yemen remains divided between the Houthi-controlled north and the government-run south, which includes a patchwork of factions.Political Vacuum in Divided YemenRashad al-Alimi, the head of the Presidential Leadership Council – the leadership body of Yemen's internationally recognized government – said Hadi believed in the Yemeni people's "right to a just state, freedom and human dignity." "He led the battle to defend the republican system," al-Alimi said on social media.Hadi took office in 2012 after a long stint as vice president to Ali Abdullah Saleh, who reluctantly ended his 33 years in power during Arab Spring protests. He handed over his powers – reportedly under Saudi pressure – to the newly formed Presidential Leadership Council in April 2022.Uncertain Path for Peace in YemenHadi, a career military officer, was waved through as the sole candidate in an election in which he won 99.8 percent of the vote. His presidency was thwarted with spells of unrest, with his opponents accusing him of favoring the country's eastern oil-rich provinces at the expense of the mountainous heartlands dominated by Houthis. After the Houthis overran the capital in 2014, they placed Hadi under house arrest in early 2015 before he escaped in February of that year.

The Lead: Apple's AI RevolutionJust ahead of Apple's Worldwide Developers Conference (WWDC) in June, Bloomberg has published leaked renders of what Apple's planned AI upgrade could look like on iPhone — including a brand-new Siri app meant to rival ChatGPT and other AI chatbots. This represents Apple's most significant push into the competitive AI landscape, leveraging its massive user base to introduce AI capabilities to billions of devices worldwide.The Event Details: New Siri Interface and CapabilitiesWhile users will still be able to press a button in iOS 27 to trigger Siri, the animation and response will now emerge from the iPhone's Dynamic Island — that's the black pill-shaped area at the top of the screen that today houses Live Activities. This mode will work best for quick voice queries or searches, maintaining familiarity for existing Siri users.A new mode will put Siri-powered search within easy reach, capitalizing on people's muscle memory for swiping down on their screen to access Spotlight Search. The swipe-down gesture will still open search, but now those searches will draw on the AI-powered Siri, which includes a rebuilt AI model that uses Google's Gemini AI technology under the hood for added intelligence.From here, iPhone users can search, launch apps, start messages, ask about the weather, add calendar appointments, search their notes, and trigger app shortcuts, with results displayed in formatted text in a card-style interface that also emerges from the Dynamic Island.The Data Analysis: Strategic Partnerships and Scale AdvantageApple's approach to AI mirrors its earlier multibillion-dollar partnership with Google that made Google the default search engine on iPhone. Just as building a search engine from scratch was never in Apple's playbook, AI presents a similar calculus — it's too expensive and complex to go it alone, at least right now. So Apple is working with outside partners for AI technology that users want today, while simultaneously building out its own models, including local AI that runs on local devices rather than the cloud.The scale advantage is substantial. While ChatGPT now has 900 million weekly active users, Apple's install base (all devices, not just iPhone) is 2.5 billion — meaning the company has an unmatched runway to introduce AI to people who haven't yet adopted standalone AI tools.The Impact Analysis: Shaping the AI LandscapeApple's entry into the competitive AI chatbot space with a standalone Siri app will significantly reshape the market dynamics. The app will surface users' past chat history and allow them to upload documents and photos, in addition to text, positioning it as a direct competitor to ChatGPT, Claude, Gemini, and others.This move demonstrates Apple's strategy of leveraging partnerships while maintaining its privacy-focused brand. By using Google's Gemini AI technology while developing local AI capabilities, Apple aims to deliver powerful AI experiences without compromising on its core privacy principles. This approach could set a new standard for how tech companies balance powerful AI features with user privacy concerns.The Prediction: Future of AI IntegrationLooking ahead, Apple's AI strategy appears focused on seamless integration rather than standalone dominance. The company is likely to continue its dual approach: leveraging partnerships for immediate capabilities while developing proprietary technology for long-term differentiation.As Apple rolls out these AI features across its ecosystem, we can expect to see similar AI-powered enhancements in macOS, iPadOS, and watchOS. The company's emphasis on local AI processing suggests a future where more AI tasks happen on-device, reducing latency and enhancing privacy — potentially setting a new industry standard that other tech companies will need to follow.

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.