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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.

The Final Private Push: Anthropic Secures $65 BillionAnthropic has closed a monumental Series H funding round, raising $65 billion at a $965 billion post-money valuation. This capital injection represents the startup's largest private fundraising effort to date and signals that the company is likely in its final pre-IPO stage. The round brings the company's total capital raised to a staggering level, positioning it as a heavyweight contender in the generative AI sector just as public markets begin to open up to high-growth technology companies.The Infrastructure and Investor EcosystemThe funding round was co-led by a consortium of elite institutional investors, including Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital. Notably, the round saw participation from major infrastructure partners such as Samsung, SK Hynix, and Micron, highlighting the critical role hardware manufacturers are playing in the AI supply chain.Strategic Backing: Hyperscalers committed $15 billion, including a significant $5 billion from Amazon.Investor Demand: The round was highly competitive, with one institutional investor reportedly pledging up to $5 billion just to secure a meeting with the CFO.Use of Funds: Proceeds will be directed toward advancing safety research, expanding compute infrastructure, and scaling enterprise products.Valuation Wars and Revenue TrajectoryThis funding round places Anthropic at the epicenter of a fierce valuation war in the AI industry. The company's massive valuation comes as it reports a $47 billion revenue run rate and expects a 130% revenue surge to achieve its first operating profit. This financial performance contrasts sharply with the broader tech sector, illustrating the intense demand for high-performance AI models.Competitive Landscape: Anthropic's valuation rivals OpenAI, which raised $122 billion in March at an $852 billion valuation.Market Positioning: The company is reportedly preparing to launch models comparable to its powerful cybersecurity model, Mythos, which has been limited due to safety concerns.The Strategic Shift Toward Enterprise SafetyThe inclusion of infrastructure partners like Samsung and SK Hynix suggests a strategic pivot toward vertical integration. By securing hardware support, Anthropic ensures a stable supply chain for the compute-intensive models it is developing, such as the newly released Claude Opus 4.8. This model emphasizes agentic tasks, advanced coding, and self-correction capabilities, addressing a critical need for enterprises seeking reliable and safe AI solutions.The IPO Countdown and Market DominanceWith this massive capital raise and the release of advanced models, Anthropic is poised to lead the next phase of AI innovation. The company's ability to attract top-tier institutional investors and secure hardware partnerships positions it uniquely ahead of its IPO. As the race for AI dominance heats up, Anthropic's valuation and growth trajectory suggest it will be a key player in shaping the future of the public AI market.

New Coalition Takes Shape Amid Drone ControversyLatvia’s parliament has confirmed a fresh governing alliance after the previous cabinet fell apart over disagreements on anti‑drone defenses. The vote marks a decisive step toward stabilising a nation that has been rattled by several wayward Ukrainian drones crossing its borders.Parliament Votes 66‑34 to Install Andris Kulbergs as Prime MinisterBy a margin of 66 deputies out of a 100‑seat assembly, lawmakers endorsed Andris Kulbergs, a 47‑year‑old centrist, as Latvia’s next prime minister. He will lead the country until the scheduled parliamentary elections on October 3. The new cabinet retains outgoing foreign minister Baiba Braze and appoints Colonel Raivis Melnis as defence minister.Numbers Behind the Power Shift: Seats, Votes, and Demographics66 votes in favour, 34 against.Latvia’s population: roughly 1.8 million people.The coalition comprises four parties, giving it a “healthy majority” in the Saeima.Previous prime minister Evika Silina resigned in mid‑May after losing coalition support.Implications for Latvia’s Security and EU/NATO AlignmentThe new government has pledged to reinforce military and border security, a stance echoed by political scientist Nils Muiznieks who noted a “broad consensus on foreign‑policy priorities.” With NATO and EU membership, Latvia is likely to maintain strong solidarity with Ukraine, especially as President Volodymyr Zelenskyy has offered expert assistance for air‑defence upgrades.What Lies Ahead: Policy Priorities and Regional StabilityAnalysts expect the coalition to focus on:Accelerating anti‑drone and air‑defence capabilities.Ensuring economic and energy security amid regional tensions.Deepening cooperation with NATO allies and the EU.Preparing for the upcoming elections while maintaining a pro‑Ukraine stance.

The Lead: Magnier's Historic Triple VictoryPaul Magnier of Soudal Quick-Step completed a hat-trick of victories in this Giro d'Italia by winning a bunch sprint on stage 18 in Pieve di Soligo. The 22-year-old French rider secured his third stage win of the race, adding to his victories in the first and third stages in Bulgaria.The Event Details: Perfectly Executed Sprint FinishThe undulating 171km stage from Fai della Paganella in Trentino concluded with a high-speed sprint finish. Magnier was perfectly set up by his teammate Jasper Stuyven in the final few turns, allowing him to power to the line with an impressive display of sprinting prowess. His victory demonstrates the strength and coordination of the Soudal Quick-Step team in sprint scenarios.The Classification Impact: Points Lead SecuredVictory for Magnier means he takes the lead in the points classification, a significant achievement in the race for the green jersey. The Frenchman's consistent performance across multiple sprint stages has established him as the premier sprinter in this year's Giro d'Italia. His three stage victories place him in elite company among the race's most successful sprinters.The Race Dynamics: Vingegaard's Calculated CautionJonas Vingegaard, the overall race leader, demonstrated strategic awareness by attacking on the day's short sharp final climb inside the final 10km. However, the Danish rider eventually settled for a place in the main bunch to preserve his substantial lead in the general classification. This approach indicates Vingegaard's focus remains on the overall victory rather than stage wins.The Future Outlook: Final Stages ApproachWith just a few stages remaining, Magnier will look to consolidate his position in the points classification while Vingegaard maintains his grip on the pink jersey. The race is entering its critical phase where tactical decisions will determine not only the stage outcomes but potentially the final podium positions. The remaining parcours features challenging stages that could see significant shifts in the general classification standings.

The LeadThe United States has escalated its threats against Oman, warning that it would "aggressively" impose sanctions if the Gulf ally helps Iran establish a tolling system in the Strait of Hormuz. This intensifies President Donald Trump's recent threats against Oman, including a warning to "blow them up" if they don't comply with US demands regarding the strategic waterway.US Treasury's Aggressive StanceUS Treasury Secretary Scott Bessent stated on Thursday that Washington will "not tolerate" either country imposing fees on commercial ships in the strategic waterway. "Oman, in particular, should know that the US Treasury will aggressively target any actors involved — directly or indirectly — in facilitating tolls for the Strait and any willing partners will be penalized," Bessent said in a social media post."All nations should reject outright any efforts by Iran to disrupt the free flow of commerce. Tehran's days of terrorizing the region and the world are over."Global Energy Security at RiskAbout 20 percent of the world's oil flowed through Hormuz before the conflict, making the Iranian blockade a major strain on global energy supplies. The closure has sent oil prices soaring and threatens economic stability worldwide. The strait's critical importance to global energy markets makes any disruption a matter of international concern.Regional Power Dynamics ShiftThe statement comes less than 24 hours after President Trump threatened to bomb Oman, a key US ally known for its neutrality and mediation efforts in regional crises. This unprecedented threat against a close security and economic partner signals a significant shift in US foreign policy in the Middle East.While Iran has suggested joint Iranian-Omani management of the Hormuz Strait, Oman has not explicitly stated it is seeking control over the waterway, parts of which flow through its territory.Future Outlook for Hormuz StraitThe US and Iran have been indirectly negotiating to reach an agreement for a comprehensive end to the war, with control over the Hormuz Strait emerging as a major point of disagreement. Trump has stressed that the strait must remain a free passageway for international commerce.Ali Bagheri Kani, deputy secretary of Iran's Supreme National Security Council, countered that Tehran will not allow Hormuz to be a source of insecurity for the country, stating that "the powers that have used this passage against Iran's security must be held accountable." The standoff continues as both nations dig in on their positions regarding control of this vital waterway.

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.

Apple's AI-Powered Siri App Set to Rival ChatGPT Apple is planning to unveil a new AI-powered Siri app at its Worldwide Developers Conference (WWDC) in June, according to leaked renders published by Bloomberg. The app is designed to rival popular AI chatbots like ChatGPT, Claude, and Gemini. The New Siri App Features The new Siri app will feature a rebuilt AI model that uses Google's Gemini AI technology under the hood for added intelligence. The app will allow users to search, launch apps, start messages, ask about the weather, add calendar appointments, search their notes, and trigger app shortcuts. Results will be displayed in a formatted text in a card-style interface that emerges from the iPhone's Dynamic Island. The Data Analysis 2.5 billion: Apple's install base across all devices 900 million: Weekly active users of ChatGPT The Impact Analysis Apple's approach to AI is similar to its earlier multibillion-dollar partnership with Google that made Google the default search engine on iPhone. By partnering with outside companies for AI technology, Apple can leverage its scale and unmatched runway to introduce AI to people who haven't yet adopted standalone AI tools. The Prediction With its massive install base and reputation for prioritizing user privacy, Apple is well-positioned to make a significant impact in the AI market. The new Siri app and AI-powered features are expected to be a major part of Apple's strategy to compete with popular AI chatbots and establish itself as a leader in the AI space.

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.