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The Lead: DOJ Takes Legal Action Against Four StatesThe Department of Justice announced Thursday that it is suing Maine, Massachusetts, Oregon and Washington for denying ICE agents confidential licence plates, a tool the administration says is essential for agent safety and operational effectiveness.The Lawsuit Over ICE Undercover PlatesThe complaint argues that refusing the plates violates the Constitution’s Supremacy Clause and hampers federal immigration enforcement. The states counter that ICE should not operate in secrecy without state oversight.States sued: Maine, Massachusetts, Oregon, WashingtonAgency involved: Immigration and Customs Enforcement (ICE)Legal basis cited: Supremacy Clause of the U.S. ConstitutionKey officials: Donald Trump (President), Todd Blanche (Acting Attorney General), Maura Healey (Massachusetts Governor)Legal Stakes and Potential CostsWhile the filings contain no monetary damages, the lawsuits could generate significant legal expenses for the states and set precedents that affect future federal‑state collaborations. The litigation also raises questions about the cost of maintaining separate vehicle registration systems.Implications for Federal‑State Relations and Immigration EnforcementThe case highlights a growing clash between the Trump administration’s aggressive immigration agenda and state sanctuary laws. Critics argue that confidential plates enable unchecked enforcement, while the administration claims they protect agents from targeted harassment.Watchdog groups warn that masking vehicle identities could reduce accountability, whereas federal officials contend that secrecy is vital to prevent agents from being tracked and evaded.What the Courts May Decide and Next MovesLegal analysts expect a protracted battle over the Supremacy Clause versus state authority over motor vehicle registration. A ruling in favor of the federal government could compel states to issue undercover plates nationwide; a decision for the states could reinforce sanctuary protections and limit ICE’s operational flexibility.Both sides have signaled readiness to appeal, suggesting the dispute will continue to shape the national conversation on immigration enforcement and the balance of power between Washington and state capitals.

Asana's Strategic AI AcquisitionAsana has acquired the workflow automation company StackAI for $75 million, marking a significant step in the company's broader AI pivot. The acquisition aims to position Asana as an "AI-native workplace platform" and integrate StackAI's agent-building capabilities into Asana's existing work management system. The announcement was made Thursday afternoon to coincide with Asana's earnings and investor call.StackAI's Workflow Automation CapabilitiesStackAI, built as an AI workflow-automation system, designs agents to operate within existing business systems, pulling in data from platforms like Salesforce, Slack, and Gsuite. The company, founded by Tony Rosinol and Bernard Aceituno, will join Asana as part of the acquisition. StackAI has faced competition from automation tools like Zapier as well as AI labs like OpenAI and Anthropic in the rapidly evolving AI automation space.Financial Terms and Funding BackgroundThe acquisition comes as StackAI had raised just under $20 million, according to PitchBook data, with most of it coming in a recent $16 million Series A round. That round included funding from Gradient, Epakon Capital, Lobby VC, LifeX Ventures, and Vercel CEO Guillermo Rauch. While the $75 million acquisition price represents a significant premium over StackAI's funding, it reflects Asana's commitment to accelerating its AI capabilities.Asana's AI-Native TransformationWhile users are most familiar with Asana's work management system, the company has been releasing AI-oriented products in recent years, including the AI Studio agent builder and AI Teammates series of pre-built automations. Asana believes its deep integration into existing corporate workflows provides a key advantage, allowing it to distill context and training data that would otherwise be unavailable. This acquisition specifically aims to "agentify the most complex business processes end-to-end," according to CEO Dan Rogers.Future of Human-Agent Work in EnterpriseAsana has struggled on public markets during the AI era, losing more than half its market cap value since the introduction of ChatGPT. However, revenue has continued to grow steadily, and the new leadership is confident that human-agent products will enable a rebound. With this acquisition, Asana aims to accelerate its roadmap into "the next phase of human-agent work," potentially differentiating itself from both traditional work management platforms and standalone AI automation tools in the competitive enterprise software landscape.

The Shift in Eid TraditionsTraditionally, Eid al-Fitr in Lebanon is a vibrant celebration featuring family gatherings, elaborate feasts, and visits to mosques. However, the current geopolitical climate has forced a drastic pivot. Instead of traditional prayers in open spaces, many worshippers are gathering in underground shelters or makeshift prayer rooms to avoid aerial threats. The customary visits to relatives have been replaced by a focus on immediate family units, often confined to a single room due to the destruction of homes.The Human Cost of CelebrationThe economic and physical toll of the war has stripped the holiday of its festive elements. The traditional "Eid breakfast" or "Eid lunch" has been reduced to rationed meals, with many unable to afford the usual abundance. Furthermore, the displacement of millions has meant that Eid is no longer a time of return to one's roots, but a moment of uncertainty regarding where one will sleep that night. The joy of the holiday is overshadowed by the collective trauma of the population.Resilience Amidst AdversityDespite the grim circumstances, the Lebanese people continue to observe the religious significance of Eid. The spirit of the holiday has shifted from hedonism to solidarity. Communities are finding ways to maintain a sense of normalcy, often through digital connections or small, private acts of charity. The war has not erased the holiday, but it has forced a maturation of the cultural experience, prioritizing spiritual connection over material celebration.

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 LeadStrictlyVC is set to host its exclusive Los Angeles event on Thursday, June 18, 2026, at The Aerospace Corporation Campus in El Segundo. The intimate gathering will bring together leading investors and entrepreneurs for high-signal conversations about venture capital and frontier technologies, with a special focus on defense technology and physical AI.The Event DetailsThe StrictlyVC Los Angeles 2026 event offers an evening of direct access to ideas and leaders shaping where technology and capital are headed next. The event will feature several key speakers discussing critical topics in the tech investment landscape.Date: Thursday, June 18, 2026Location: The Aerospace Corporation Campus, El Segundo, Los AngelesFocus: Defense technology, physical AI, venture capital, and frontier technologiesThe Value PropositionFor executives, investors, and founders navigating an increasingly complex market, this event provides a rare opportunity to step inside conversations that rarely happen in public. Attendees will hear directly from the people driving change across defense, AI, and advanced industry sectors.Featured Speakers and TopicsThe event will begin with Ethan Thornton, founder of Mach Industries, presenting "Built for a New Era of Defense Technology." Thornton will discuss building hard tech companies at speed and why defense innovation is undergoing a structural shift as autonomy, manufacturing, and national security become increasingly interconnected.The conversation will then turn to "backing the next frontier of physical AI," featuring Delian Asparouhov of Founders Fund and Saif Khawaja of Shinkei Systems. They will explore how advances in AI, robotics, and automation are reshaping both software systems and the physical world, and what it takes to move breakthrough technologies from concept to real-world deployment at scale.Additional speakers and conversations will be announced in the weeks ahead as the StrictlyVC Los Angeles agenda continues to take shape.The Impact AnalysisThis event reflects a growing trend of technological acceleration in traditionally slow-moving industries. The focus on defense technology and physical AI indicates a significant shift in venture capital priorities toward tangible, real-world applications of artificial intelligence. As these technologies mature, they have the potential to reshape national security, manufacturing, and automation sectors, creating new opportunities and challenges for investors and entrepreneurs alike.The PredictionAs the evening unfolds, the real value of the event will emerge from the conversations that continue beyond the stage. In an environment defined by access, focus, and proximity to industry leaders, introductions are likely to turn into insights, and insights often turn into opportunities. This event is poised to become a catalyst for new partnerships, investments, and technological breakthroughs in the defense and physical AI sectors, potentially setting the stage for the next wave of innovation in these critical areas.

The Lead Anthropic has released Opus 4.8, the newest version of its most advanced publicly available model, with a new 'dynamic workflow' tool. The model is available everywhere at standard pricing. The Event Details Opus 4.8 comes just 41 days after Opus 4.7 was released, a much faster upgrade cycle than normal for Anthropic. The new model features best-in-class benchmark results and improved handling of bad or uncertain data. Anthropic's early testers found that Opus 4.8 is "more likely to flag uncertainties about its work and less likely to make unsupported claims." The Data Analysis Opus 4.8 is available at standard pricing. The model comes with a new 'dynamic workflow' tool, available in research preview. Anthropic's most advanced Mythos model is still in development, with a tentative preview last month. The Impact Analysis The fast turnaround for Opus 4.8 may be in response to the chilly reception of Opus 4.7 and increasing pressure from competitors like OpenAI's Codex and Google's Gemini Flash model. The new model's ability to handle uncertain data and flag issues with inputs and outputs could give it an edge in the market. The Prediction Anthropic hinted that the Mythos preview period might soon end, once necessary safeguards are complete. The company expects to bring Mythos-class models to all its customers in the coming weeks. With Opus 4.8 and the dynamic workflow tool, Anthropic is positioning itself to compete with other major players in the AI market.

North American Nations Coordinate Ebola Response for World Cup The United States, Mexico, and Canada have announced aligned public health travel measures for people coming from African regions at greatest risk from Ebola as they prepare to host the World Cup next month. In a joint statement, the three nations emphasized that "the health and safety of every person in the region remains our highest priority as we welcome the world to North America." Coordinated Travel Restrictions Implemented The three neighboring countries have established various containment measures to prevent the spread of Ebola across their borders. The United States initially banned noncitizens who had traveled to the Democratic Republic of the Congo (DRC), Uganda, or South Sudan in recent weeks from entering the country. This ban was subsequently extended by the US Centers for Disease Control and Prevention to include green card holders who have been in those countries within the previous 21 days. Canada has implemented a 90-day entry ban for residents from the DRC, Uganda, and South Sudan. Additionally, Canadian citizens, permanent residents, and other foreign nationals who have been in affected areas without symptoms must undergo a 21-day quarantine period beginning Saturday. Mexico's Health Secretary David Kershenovich announced enhanced Ebola screening measures at airports, urging the public to avoid travel to the DRC and requiring arrivals from the country to observe a 21-day quarantine. WHO Declaration Triggers Global Response The World Health Organization declared an Ebola outbreak in the Democratic Republic of the Congo a public health emergency of international concern on May 17, warning of a high risk that the virus could spread to neighboring countries. This declaration has prompted governments worldwide to implement travel-related containment measures. The coordinated response by North American nations reflects the growing concern about potential transmission during the upcoming World Cup, which will bring together visitors from around the world. Impact on International Travel and Major Events These measures represent one of the most significant coordinated public health responses in recent years, affecting international travel patterns and potentially impacting the experience of fans and participants attending the World Cup. The restrictions may create challenges for travelers from affected regions and require additional resources for health screening at entry points across North America. The joint approach by the three host countries demonstrates a recognition that public health threats require unified responses, particularly when hosting international events that bring together people from diverse geographic locations. Future Outlook for Ebola Containment As the World Cup approaches, health officials will likely continue monitoring the Ebola situation closely, potentially adjusting restrictions based on the evolving outbreak status. The coordinated measures may set a precedent for how nations collaborate on public health responses during international events, particularly in an era of increasing global connectivity and potential disease spread. Success in containing this outbreak will depend not only on travel restrictions but also on effective public health measures within affected regions and continued international cooperation on disease surveillance and response.

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.