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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 US Strikes on Bandar Abbas The United States has carried out strikes near Bandar Abbas, the second attack in less than a week on Iran’s strategically important port city, escalating tensions around the Strait of Hormuz despite a fragile ceasefire that has been in place between Washington and Tehran since April 8. Details of the Attack Reuters and The Associated Press, quoting unnamed US officials, reported that US forces shot down four Iranian drones and struck a ground control station for drones on Wednesday in Bandar Abbas. The strikes followed explosions in Bandar Abbas on Tuesday. Iran’s Ministry of Foreign Affairs accused Washington of violating the ceasefire through “aggressive acts” in Hormozgan province, where the port city is located. Significance of Bandar Abbas Bandar Abbas, home to key Iranian naval forces, occupies one of the most strategically sensitive positions in the Gulf. Its location on the Strait of Hormuz has made it central to both Iran’s military position and the wider confrontation with the US. Bandar Abbas lies on Iran’s southern coast, on the northern side of the Strait of Hormuz, the narrow waterway linking the Gulf to the Gulf of Oman and Arabian Sea. The city had a population of more than 526,000 people at the time of Iran’s 2016 census. Military Significance Bandar Abbas is the headquarters of both Iran’s conventional navy and the naval arm of the Islamic Revolutionary Guard Corps (IRGC). The conventional navy has used it as its base since 1977 when Iran moved much of its fleet from Khorramshahr at the western edge of Iran’s Gulf coastline, to Bandar Abbas, transforming the city into the country’s main southern naval command centre. According to the Middle East Institute, the IRGC navy later relocated its headquarters from Tehran to Bandar Abbas to improve operational control along the Strait of Hormuz. Economic Importance The Strait of Hormuz is not just a military chokepoint but also an economic lifeline. Analysts estimated that more than 90 percent of Iranian crude shipments transit through the strait. That makes Bandar Abbas and nearby Gulf infrastructure critical to government revenues, including the trade networks that help Iran circumvent sanctions, particularly by exporting oil to China. Impact on Peace Negotiations Diplomatic and military operations are unfolding simultaneously as Iran and the US have exchanged a volley of proposals and counterproposals for peace since the ceasefire began. “This is unfolding on parallel tracks. There is a military track and a negotiating track all unfolding at the same time,” said Samir Puri, a visiting lecturer in war studies at King’s College London. “The negotiators can only present the leverage they have from the field of battle.

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.

The Lead Enterprise organizations are not rejecting AI. They are rejecting operational instability. This is the shift many founders still misunderstand — and it is becoming one of the defining realities separating enterprise AI companies that scale from the ones that stall after early momentum. The Event Details At TechCrunch Disrupt 2026, taking place October 13–15 at Moscone West in San Francisco, Arsalan Tavakoli-Shiraji, co-founder and SVP of field engineering at Databricks, will unpack that shift during his AI Stage session, “The Enterprise Isn’t Broken. Your Assumptions About It Are.” The Data Analysis The enterprise AI market is full of successful pilots that never became real deployments. Not because the technology failed. But because the organization could not absorb the operational consequences of adopting it. The Impact Analysis Now the reality founders need to face is that startup AI deals rarely die because the model underperformed. They die because the enterprise lost confidence in what the deployment would require. The AI startups gaining traction inside large organizations increasingly share one thing in common: They reduce uncertainty. The Prediction The startups that succeed in enterprise AI over the next several years may not necessarily be the ones with the most advanced models. They may be the ones that best understand how enterprises actually absorb change. That is the kind of operational pressure that Tavakoli-Shiraji and other speakers on the AI Stage at Disrupt will explore.

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.

Seizure of $232 Million Targets Cosa Nostra’s Financial EmpireOn Thursday, 2026‑05‑28, Italy’s financial police, the Guardia di Finanza, announced the confiscation of assets worth over $232 million that were tied to the late Mafia boss Matteo Messina Denaro. The operation traced funds through a web of companies, luxury properties, and offshore accounts that had been built since the 1980s.Scale of the Asset Freeze Across Europe and Offshore HavensCountries involved: Spain, Switzerland, Luxembourg, Monaco, LebanonOffshore jurisdictions: Cayman Islands, GibraltarKey asset types: luxury villas on Spain’s Costa del Sol, diversified financial portfolios, corporate holdings in various sectorsThe investigation also led to the arrest of three individuals who were suspected of managing the concealed wealth.Implications for Mafia Money Laundering and Regional SecurityChief anti‑Mafia prosecutor Giovanni Melillo described the seizure as a “major step in dismantling the group’s financial base.” By striking at the money‑laundering channels, authorities aim to cripple the Cosa Nostra’s ability to reinvest illicit proceeds into legitimate businesses, thereby reducing its influence over the Sicilian economy and beyond.Future of Anti‑Mafia Operations in Italy and EuropeThe use of advanced surveillance tools—drones, aircraft, and thermal scanners—demonstrates a shift toward high‑tech policing in organized‑crime cases. Analysts expect that the success of this operation will encourage further cross‑border cooperation, tighter monitoring of offshore flows, and more aggressive asset‑freezing measures throughout the EU.

The Postponement of a Cultural Event The British Museum has postponed a lecture for Jewish culture month over concerns that the event would be disrupted by protesters. The talk, on ancient Israel and Judah, was scheduled to take place on Thursday but will now be held at a later date yet to be decided. Event Details and Background The lecture was to be given by Dr Paul Collins, the keeper of the Middle East department, and was expected to examine the archaeology and history of the ancient kingdoms of Israel and Judah through artefacts held by the museum. It was part of the first ever Jewish culture month in the UK, which runs until 16 June and features over 100 events across the country. The Reason Behind the Postponement The museum announced the postponement less than 24 hours before the event, stating that a "significant proportion" of registered attendees were "individuals intending to deliberately disrupt the event, preventing others from participating in good faith and undermining the purpose of the programme." Reaction and Criticism The decision drew criticism from various quarters, including the Conservative leader Kemi Badenoch, Jewish commentators, and free speech advocates. They argued that publicly funded cultural institutions should not retreat from hosting historical or cultural conversations relating to Jewish identity in response to the threat of protest. The Future of Jewish Culture Month Despite the postponement, the British Museum stated it would continue to support Jewish culture month, ensuring that history, culture, and scholarship could be explored "without disruption." The museum aims to reschedule the event for a later date when it can take place in a secure environment.

Iran’s Assertion of Deploying the Arash‑e Kamangir InterceptorIran announced that a newly‑developed air‑defence system, dubbed Arash‑e Kamangir, was used to shoot down a United States MQ‑9 Reaper drone near Qeshm Island in the Strait of Hormuz. The claim, made by the semi‑official Fars News Agency, describes the system as having “stealth‑detection capabilities,” though technical specifics were not disclosed.Location: Near Qeshm Island, Strait of HormuzTarget: US MQ‑9 Reaper reconnaissance droneSystem name: Arash‑e Kamangir (translates to “Arash the archer”)Verification Gap – No Independent Confirmation AvailableIndependent observers have not corroborated the interception. Analysts note that Iran frequently publicises military advances that are difficult to verify, and the lack of external evidence means the claim must be treated cautiously.Strategic Implications for Gulf Security and US‑Iran RelationsThe reported shoot‑down, if genuine, signals that Tehran retains at least a limited, mobile air‑defence capability despite extensive US and Israeli strikes on its larger radar‑guided networks. Mobile, low‑cost systems such as the alleged Arash‑e Kamangir can:Operate without fixed radar installations, making them harder to locate.Be rapidly deployed and replaced, enhancing resilience.Force adversaries to rely on longer‑range, more expensive standoff weapons.Analysts warn that a persistent low‑level threat could increase the risk of escalation in the Gulf and disrupt the strategic chokepoint of the Strait of Hormuz, potentially affecting global energy markets.Potential Trajectories for Regional Air‑Defence PostureLooking ahead, several scenarios emerge:Continued Iranian investment in cheap, mobile interceptors could cement a strategy of endurance over technological parity.US operational adjustments may involve reduced reliance on drones in favour of higher‑cost missiles, altering the cost‑benefit calculus of future strikes.Negotiation leverage for Iran in any cease‑fire talks could be bolstered by demonstrating a functional defence capability.Should independent evidence later confirm the system’s effectiveness, it would underscore Tehran’s ability to sustain a “persistent, limited, low‑level air threat” despite prior degradation of its conventional air‑defence infrastructure.

The Lead: A Midlife Comedy Triumph Middle age is a brutal time of life, perfectly suited for mining laughs that are bound up with tears, crisis, and death. Tina Fey's The Four Seasons returns for a second season that is even more perspicacious, poignant and hilarious than the first, proving once again why Fey remains one of comedy's most insightful voices. The Event Details: Season Two's Narrative Structure The second season continues with four fancy holidays split across the seasons, each given two gag-packed episodes. This rigid but neat structural device allows big moments to happen off-screen while we experience the aftermath soundtracked by an avalanche of Vivaldi and bracing jokes about sad lonely donkeys, secret vapes mistaken for thumb drives, and the tragicomedy of being an angry, unravelling fiftysomething man. The three couples have been reconfigured after the death of Nick (Steve Carell) at the end of season one. We follow Kate (played by Fey) and Jack as they workshop their marriage, Danny and Claude as gay, unbearably chic, forever bickering couple, and Nick's ex-wife Anne and the much younger woman for whom he left her, Ginny – now heavily pregnant with his baby. By summer, Anne and Ginny have moved in together with the baby, creating an unconventional but loving family unit. The Critical Analysis: Why This Season Excels The Four Seasons season two delivers moments so hilarious they rival Fey's previous masterpiece, 30 Rock. The show's strength lies in its ability to balance absurd humor with genuine emotional depth. The conversations between Danny and Claude are particularly funny, moving, and sensitively wrought, while Kate and Jack's "freeballing" – their decision to "grow apart on purpose" – evolves into a beautiful meditation on the endurance test of long-term relationships. This season belongs to Anne, who makes a joyous transition from lonely, fearful ex-wife to contented (enough) single woman willing to dress up as a folkloric old witch at an Italian Christmas pageant. She delivers many of the best lines and sports the most fabulous wardrobe, proving that middle-aged women can be both hilarious and fashionable. The Impact Analysis: Redefining Midlife Comedy The Four Seasons stands out in today's television landscape by tackling middle age with honesty and humor. Unlike the aspirational settings of Nancy Meyers movies that the show lovingly mocks, The Four Seasons presents a more realistic – though still beautiful – vision of midlife. The lush lakeside lawns and lobster rolls serve as a lure to reel viewers into the murky depths of actual midlife experience, where good men smash up vintage snack shacks, regrets must be lived with, and people who love each other want completely different things. Fey's special power lies in creating jokes so specific they feel personally tailored to the middle-aged experience. The show's ability to make viewers laugh while simultaneously acknowledging the existential dread that comes with this life stage represents a significant contribution to the comedy genre. The Prediction: The Future of The Four Seasons Given the critical acclaim and the rich narrative possibilities still available, The Four Seasons seems poised for additional seasons. The show has established itself as a worthy successor to Fey's 30 Rock, with the potential to become a modern classic of television comedy. Its unique blend of high-concept settings and low-stakes domestic problems, combined with Fey's signature wit and emotional intelligence, suggests the series will continue to resonate with audiences navigating the complexities of middle age. As streaming platforms increasingly compete for quality content, The Four Seasons represents the kind of smart, character-driven comedy that awards seasons and cultural conversations are built around. If the show maintains this level of quality, it may not only extend its own run but also inspire more television creators to tackle middle age with the same honesty, humor, and heart.