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Executive Summary: Glean’s $300M ARR MilestoneGlean announced it has reached $300 million in annual recurring revenue (ARR), a three‑fold increase from the $100 million mark just 15 months earlier. The growth is driven by its “context graph” technology that promises to slash AI token usage and lower enterprise AI spend.Growth in a Crowded Enterprise AI Search LandscapeFounded seven years ago, Glean was once the sole player in enterprise AI search. Today, giants such as Google, Microsoft, OpenAI, Anthropic, Salesforce and Atlassian are launching competing solutions. CEO Arvind Jain argues that first‑mover advantage combined with deeper “context graph” insights gives Glean a competitive edge.Revenue Structure: Consumption‑Based and Hybrid ModelsARR reached $300M, up from $100M in just 15 months.Pricing includes a per‑use consumption model and a hybrid model (fixed monthly fee + usage fees).Recent Series F raised $150M at a $7.2B valuation.Key customers: Databricks, Reddit, Pinterest, Samsung.Cost‑Efficiency as a Market DifferentiatorGlean’s context graph reduces the number of tokens an AI model must process, translating into lower compute costs for clients. In an environment where many firms are “blowing through their AI budgets,” this token‑saving capability has become a major selling point.Looking Ahead: Scaling the Context Graph AdvantageAnalysts expect Glean to leverage its cost‑saving narrative to win additional enterprise contracts, especially as larger vendors struggle to match its token‑efficiency. Continued product enhancements and expansion into new verticals could push ARR beyond the $500M threshold within the next 12‑18 months.

The Lead: Major Military Expansion in GazaIsraeli Prime Minister Benjamin Netanyahu has issued a directive for the Israeli army to seize control of 70% of the Gaza Strip, marking a significant escalation in the region's already volatile situation. This order comes amid heightened tensions and represents one of the most substantial territorial expansions by Israel in recent years.The Military Directive: Details of the Gaza SeizureThe order, issued by Netanyahu, instructs the Israeli Defense Forces (IDF) to take control of approximately 70% of the Gaza territory, which has been under varying degrees of blockade and conflict for years. This move represents a dramatic shift in Israel's approach to the region, potentially altering the geopolitical landscape of the area. The specific areas targeted for seizure have not been fully disclosed, but the operation is expected to involve significant military presence and infrastructure development in the newly controlled territories.Geopolitical Implications: Regional Power DynamicsThis military expansion is expected to have profound implications for the Middle East. By controlling 70% of Gaza, Israel would fundamentally alter the balance of power in the region, potentially marginalizing Palestinian governance and influence. The move is likely to draw international condemnation and could strain relations with neighboring countries. The United States and other Western powers may face pressure to respond, as the situation could destabilize an already fragile peace in the region.Future Outlook: Path to Escalation or Resolution?The coming weeks will be critical in determining whether this military expansion leads to further conflict or opens new avenues for negotiation. International diplomatic efforts are expected to intensify, with the United Nations and regional powers likely to call for de-escalation and renewed peace talks. The long-term implications for Israeli-Palestinian relations remain uncertain, but this development represents a significant setback for the two-state solution that has been a cornerstone of international peace efforts for decades.

Lead: NASA’s New Moon‑Base MilestoneNASA revealed that Blue Origin will conduct the first uncrewed lunar lander mission in a series of three scheduled for 2026, marking the agency’s initial move toward a $20 bn moon base. The decision, announced by NASA Administrator Jared Isaacman, places Bezos’s company ahead of SpaceX for this critical early contract.Blue Origin Secures First Uncrewed Moon Base MissionThe award designates Blue Origin’s Endurance cryogenic cargo lander to deliver scientific payloads to the Shackleton‑de Gerlache Ridge at the lunar south pole. The mission, targeted for launch as early as fall 2026, will be the first privately funded lunar lander flight in history.Contract awarded to Blue Origin over competing bids.Mission to test critical capabilities for future human‑landing systems.Part of a broader NASA roadmap that includes more than a dozen additional lunar missions through the decade.Financial Terms and Timeline of the 2026 Lunar MissionsNASA has allocated $230.4 million for each of the first two moon‑base missions, with the agency covering the majority of operational costs.Funding per mission: $230.4 million.2026 schedule: Three uncrewed missions, followed by “more than a dozen” missions in subsequent years.Related contracts: Smaller awards to Lunar Outpost, Firefly Aerospace, and other private firms supporting lunar‑to‑Mars projects.Strategic Implications for U.S. Lunar Ambitions and Private Space CompetitionThe selection underscores the Trump administration’s push to accelerate the Artemis program and establish a permanent lunar presence ahead of China. By leveraging private industry, NASA aims to lower taxpayer costs, stimulate a space‑economy job market, and maintain U.S. leadership in deep‑space exploration.Creates a direct competitive dynamic between Blue Origin and SpaceX for future crewed lander contracts (Artemis III, Artemis IV).Supports the “blueprint for an enduring lunar presence” with a target of operational capability by 2029‑2032.Aligns with national space policy goals of a “golden age of exploration” and a semi‑permanent lunar settlement.What Lies Ahead for NASA’s Moon Base and Commercial Lander DevelopmentFollowing the 2026 uncrewed flights, NASA will evaluate the performance of both Blue Origin’s Blue Moon lander and SpaceX’s Starship HLS during the Artemis III test mission in low‑Earth orbit. Successful demonstrations are expected to pave the way for crewed landings on Artemis IV (planned for 2028) and the eventual construction of Moon Base One.Industry observers anticipate that continued private‑sector involvement will accelerate technology maturation, reduce launch costs, and expand the commercial market for lunar payload services, setting the stage for a sustained human presence on the Moon.

Sonny Rollins' Enduring Legacy: 10 Essential Recordings Sonny Rollins, a jazz icon, has left an indelible mark on the music world. With a career spanning over seven decades, Rollins has consistently pushed the boundaries of jazz, showcasing his mastery and innovation. Here are 10 of his greatest recordings: Tenor Madness (released on Craft/OJC, 1956) A 30-year-old Sonny Rollins had already made his unique mark with Miles Davis and Thelonious Monk by the time this 1956 session was cut. Hooking up with his contemporary and admirer John Coltrane happened by chance on the two-tenor blues chase of this album's title. Saxophone Colossus (Prestige, 1957) This writer's first connection with Sonny Rollins' music was occasioned not by music but words: poetic New Yorker writer Whitney Balliett's evocative review of Sonny Rollins' 1957 Saxophone Colossus. Rollins was partnered on this classic set by pianist Tommy Flanagan, bassist Doug Watkins, and bebop-pioneering drummer Max Roach. Way Out West (Contemporary, 1957) When UK jazz musician Courtney Pine was blossoming as a teenage saxophonist in the early 80s, he would recall that Sonny Rollins' 1957 recording Way Out West was a key inspiration. The format was a Rollins favourite in his own early years – the demanding setup of a sax improviser with just bass and drums in support. A Night at the Village Vanguard (Blue Note, 1957) Rollins' live recordings are not as abundant as his genius in open situations deserves, but this music from New York's Village Vanguard makes up a lot of the ground. Freed from the march of chords by the absence of a pianist, he's in storming form in the company of rock-solid bassist Wilbur Ware and soon to be legendary Coltrane drummer Elvin Jones. Freedom Suite (Riverside, 1958) Rollins was never a natural composer – like Miles Davis, he preferred tunes that could be sketched on the back of envelopes. But Freedom Suite was an interesting departure for him, occasioned by the political climate of US race relations and civil rights in the late 1950s. The Bridge (RCA, 1962) Rollins took a creative break between 1959 and 1961, and his return came with The Bridge, named after the eccentric refuge he found: practising alone on New York's Williamsburg Bridge with only passing trains for company. Live at Ronnie Scott's (Gearbox Records; recorded January 1965) Rollins' visits as a solo performer to London's Ronnie Scott's club in the late 50s and early 60s introduced his mesmerising magic to UK audiences, and also helped to galvanise the local scene's confidence at a time when European jazz became increasingly emancipated from the US. Sunny Days, Starry Nights (Milestone, 1984) From the 1980s onwards, Rollins settled into a concert groove that was predictable – by his exacting improvisational standards – and frequently dazzling for audiences new to him. Sunny Days, Starry Nights showcased him with partners who would regularly join him on stage for the rest of his life. This Is What I Do (Milestone, 2000) The best and most affectionately closeup manifestation of Sonny Rollins' genius as he hit his 70s. The saxophonist's later-life partners are present, and so is one of contemporary jazz's greatest drums pioneers in Jack DeJohnette. Without a Song: The 9/11 Concert (Milestone; recorded 2001) Sonny Rollins and his wife, Lucille, lived close to the World Trade Center, witnessed the buildings' collapse on 9/11, and had to evacuate their apartment shortly afterwards. Four days later, the saxophonist performed and recorded this evocative session with his regular sidemen at the Berklee School of Music in Boston.

The Vinnie Jones Documentary: A Chaotic but Enjoyable Biopic The Untold UK documentary series on Netflix has taken a new turn with its latest episode, focusing on the life and career of Vinnie Jones, a former footballer and film star. The documentary is an energetic and celebratory portrayal of Jones' life, but it falls short in providing in-depth analysis or critical questioning. Early Life and Football Career Vinnie Jones, born just outside Watford, began his football career as a semi-pro at Wealdstone, combining it with his work on a building site. He became captain of the boys' team and eventually joined Wimbledon in 1986, where he became part of 'the Crazy Gang' alongside John Fashanu. The team caused endless ruckus but also achieved a brief spell at the top of the newly promoted first division. The Crazy Gang and Rise to Fame Jones' time at Wimbledon was marked by his reputation as a hard man on the pitch, with numerous yellow and red cards. The documentary lovingly documents his successes and controversies, including his infamous tackles and tactics. However, it lacks critical questioning about his career choices and the impact of his image on his personal life. Hollywood and Later Life The documentary also touches on Jones' time in Hollywood, but it is a brief and unenlightening segment. Overall, the documentary is an enjoyable but shallow portrayal of Vinnie Jones' life and career. The Verdict Despite its shortcomings, the documentary is an unexpected amount of fun, providing a lighthearted and entertaining look at Vinnie Jones' life. The documentary is available on Netflix, and viewers can decide for themselves whether it is a fitting tribute to the man and his career. Untold UK: Vinnie Jones is on Netflix

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.

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.

Visa has disclosed an undisclosed investment in AI coding platform Replit, aiming to embed its payment suite directly into the developer environment so that both developers and AI agents can accept payments without leaving the platform. Strategic Investment and Joint Exploration of AI‑Powered Payments The two companies are testing how Visa Intelligent Commerce and the Trusted Agent Protocol can be woven into Replit’s workflow. More than 1,000 Visa employees already use Replit for prototyping, and the collaboration remains in an exploratory stage with no formal product announcements. Valuation Surge and Funding Milestones Highlight Replit’s Growth September 2025: Replit reached a $3 billion valuation. March 2026: Raised $400 million in a Series D led by Georgian Partners, pushing valuation to $9 billion. Enterprise self‑serve contracts now allow deals up to $200,000 without sales interaction. Customer churn is described as "very, very low" with net retention hitting 300 % in some cases. Implications for the Emerging Agentic Payments Ecosystem The move underscores a broader race to build infrastructure for "agentic payments," where AI agents transact on behalf of users. Competitors such as Robinhood (agent‑driven trading) and Google (shopping agents) are pursuing similar capabilities, suggesting the market will soon demand secure, verifiable AI‑mediated transactions. Future Trajectory: From Prototype to Mainstream Agentic Commerce If the exploratory projects mature, Replit could become a one‑stop shop for developers to build, host, and monetize AI agents, accelerating adoption of Visa’s Trusted Agent Protocol. Analysts anticipate that as enterprise adoption grows and churn remains low, the partnership may evolve into a commercial product suite within the next 12‑18 months, positioning Visa and Replit at the forefront of the next wave of AI‑driven commerce.

Lead: Brazil’s 2026 World Cup outlook Brazil enter the 2026 FIFA World Cup as the most decorated nation with five titles, yet they have not lifted the trophy in 24 years. Under new manager Carlo Ancelotti, the squad blends seasoned stars such as Neymar and emerging talents like Vinicius Jr as they aim to defy low expectations. Ancelotti’s foreign‑manager milestone and tactical shift After dismissing Dorival Jr, Brazil appointed Carlo Ancelotti – the nation’s first permanent foreign coach. The Italian brings five Champions League crowns and experience across Europe’s top five leagues, promising a pragmatic yet attacking approach. Ancelotti has already repositioned Vinicius Jr as a central striker and reinstated Neymar despite recent injury concerns. Key statistics and squad composition World Cup appearances: 22 (every tournament since 1930) Best performance: Winners (1958, 1962, 1970, 1994, 2002) FIFA ranking: 6 Top scorer: Ronaldo – 15 goals Most caps: Cafu – 20 matches Player to watch: Vinicius Jr Squad highlights: Goalkeepers: Alisson, Ederson, Weverton Defenders: Marquinhos, Alex Sandro, Danilo, Gabriel Magalhães Midfielders: Bruno Guimarães, Casemiro, Fabinho Forwards: Vinicius Jr, Neymar, Raphinha, Endrick Why Brazil’s underdog narrative could reshape the tournament Despite a star‑laden roster, Brazil are among the least fancied Brazilian sides ever, a status that may relieve pressure and allow creative freedom. The blend of experienced leaders and youthful vigor, combined with Ancelotti’s proven ability to manage egos, could make Brazil a surprise contender against groups that include Morocco, Scotland and debutants Haiti. Outlook and Al Jazeera’s projection Al Jazeera predicts Brazil will reach the quarter‑finals. Their success will hinge on the fitness of Neymar, the form of Vinicius Jr, and the defensive stability provided by Marquinhos and Alisson. If the squad clicks, a deep run is plausible; otherwise, early knockout looms. Group C schedule June 13 – Brazil vs Morocco (East Rutherford, New Jersey) – 18:00 local / 22:00 GMT June 19 – Brazil vs Haiti (Philadelphia) – 21:30 local / 01:30 GMT (June 20) June 24 – Scotland vs Brazil (Miami) – 18:00 local / 22:00 GMT