Breaking AI & Tech News Analyzed

The Lead 'Fairyland' offers a glorious wallow in nostalgia for those familiar with the Bay Area in the 1970s and 80s, with grainy archive footage of San Francisco Gay Freedom parades and sushi at a book launch. But at its core, the film tells the story of a new kind of family. Queer Parenting in 1970s San Francisco The film centers around Steve (Scoot McNairy), a gay father raising his young daughter Alysia (Nessa Dougherty, then Coda's Emilia Jones as a teen) in San Francisco. After his wife, Alysia's mother, is killed in a car accident, Steve is faced with the challenge of parenting alone. He turns down an offer from his ultra-straight mother-in-law (Geena Davis) to raise the little girl. Parenting Techniques and Resilience Steve's parenting techniques are sometimes selfish and neglectful, but he loves Alysia deeply. He encourages her independence, teaching her to navigate the city and take care of herself. The film draws comparisons to Marielle Heller's adaptation of The Diary of a Teenage Girl, but Alysia turns out to be more resilient and independent. The Impact of the AIDS Epidemic The film's second half covers the later 80s, as the AIDS epidemic takes a devastating toll on the community. The cast, including McNairy and Jones, deliver excellent performances. Writer-director Andrew Durham adapts Alysia Abbott's memoir with sensitivity and discretion. The Future of Queer Representation 'Fairyland' is a significant contribution to queer representation in film. With its release in UK cinemas on May 29, it promises to resonate with audiences and spark important conversations about family, love, and identity.

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

India Secures 38‑Run Victory in First Women’s T20 International Speedy half‑centuries from Yastika Bhatia and Jemimah Rodrigues propelled India to 188/7, handing England a 38‑run defeat in the historic match on 28 May 2026. Bhatia and Rodrigues Deliver Rapid Half‑Centuries Both openers reached fifty in under 30 balls, setting a formidable total early in the innings. Their partnership of 126 runs was broken in the 14th over by Charlie Dean with a run‑out and a catch. Scorecard Snapshot India Women: 188/7 (20 overs) England Women: 150 all out (19.4 overs) Top scorer for England: Amy Jones 67 off 48 balls Best bowling for England: Lauren Bell 3/34 India’s debutant seamer Nandani Sharma took 3 wickets in 5 balls Implications for England’s World Cup Build‑Up The loss highlights England’s limited bowling depth, with only Lauren Bell delivering consistently and the expensive overs from Issy Wong and Dani Gibson. Injuries to regular captain Nat Sciver‑Brunt further constrain options ahead of the World Cup starting 12 June. Looking Ahead: Next Fixtures and Stakes England have two more matches against India before the World Cup, providing a chance to fine‑tune their attack. India, resting captain Harmanpreet Kaur, will aim to maintain momentum and test squad depth ahead of the tournament.

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 Controversial Stoppage Rico Verhoeven, the Dutch former kickboxer who has switched to boxing, wants an apology as well as a rematch, after being stopped one second before the end of the penultimate round in a WBC title bout with unified world heavyweight champion Oleksandr Usyk last Saturday. The Event Details The stoppage was controversial, with Verhoeven feeling he could have continued and some replays suggesting the bell may have rung before the referee signalled the end of the fight — only Verhoeven’s second since switching to boxing — at the Pyramids of Giza in Egypt. The Data Analysis Scorecards published by The Ring magazine afterwards showed two of the three judges had the fight tied 95-95 going into the 11th of 12 rounds and the other had Verhoeven ahead 96-94. The Impact Analysis “[I want] just an apology. What else can we do? I can’t demand anything else,” Verhoeven told the BBC on Thursday, adding that his team had lodged an appeal with the WBC. The Prediction Germany’s Agit Kabayel is the WBC’s mandatory challenger and Usyk could have to fight him first before any rematch with Verhoeven. “Let’s see what pops up next,” said Verhoeven. “But I have to be honest, it’s got to be big. I feel like I’m the uncrowned king.”

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.