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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.

YouTube announced on May 28, 2026 that its Premium service will soon include an AI‑powered podcast recommendation tool, an “Auto speed” playback feature, and an on‑the‑go listening mode, aiming to deepen engagement with its growing podcast audience. AI‑Driven Podcast Recommendation Engine Launches The new recommendation tool leverages the same generative AI behind YouTube’s "Ask Music" to suggest podcasts based on genre, listener mood, or shows already enjoyed. Premium users will see personalized suggestions directly in the Podcasts tab, streamlining discovery without leaving the app. Auto Speed Playback and On‑the‑Go Mode Arrive on Android First Auto speed: Dynamically adjusts playback speed during slower speech or dense segments, preserving comprehension while reducing total listening time. On‑the‑go mode: Adds quick‑skip controls, episode‑jump shortcuts, and background‑play optimization for activities like running or commuting. Both features are live for Premium users on Android and will roll out to iOS in the coming months. Premium Podcast Consumption Metrics Highlight Growth Potential Premium users logged over 800 million hours of podcast playback in April 2026. YouTube Podcasts now boasts more than 1 billion monthly active users. The platform’s "Ask Music" already powers personalized radio stations, indicating a ready AI infrastructure for podcast recommendations. Strategic Play to Capture Audio‑First Audiences By enhancing discovery and hands‑free listening, YouTube is positioning itself against established audio platforms such as Spotify and Apple Podcasts, while also responding to Netflix's recent push into video podcasts. The focus on AI personalization and adaptive playback reflects a broader industry shift toward seamless, user‑centric audio experiences. What This Means for the Future of Podcast Platforms Analysts expect the AI recommendation engine to increase user retention, potentially driving Premium subscription growth by double‑digit percentages over the next year. If the Auto speed feature delivers measurable time‑saving benefits, it could set a new standard for intelligent playback, prompting competitors to develop similar adaptive technologies. The on‑the‑go mode further blurs the line between video and audio consumption, suggesting that YouTube will continue to integrate podcasting deeper into its core ecosystem.

The Final Days of Early Bird Pricing Time is running out to secure discounted tickets to TechCrunch Disrupt 2026. Early Bird pricing ends tomorrow, May 29, at 11:59 p.m. PT. After that, prices for the highly anticipated tech conference will increase. Unlock Savings of Up to $410 By registering now, you can lock in savings of up to $410 on your pass or up to 30% on group passes of 4+. Why Attend TechCrunch Disrupt 2026? TechCrunch Disrupt 2026, taking place from October 13–15 at San Francisco’s Moscone West, is a premier event for startups, investors, and tech enthusiasts. Here’s what you’ll gain by attending: Founder Pass: Accelerate growth with the right insights, tools, and connections. Meet investors aligned with your startup. Investor Pass: Discover standout startups and expand your portfolio with curated access. Use matchmaking tools to make every conversation count. Don’t Miss Out The window to the lowest ticket rates of the year is closing at 11:59 p.m. PT tomorrow, May 29. Register now to secure your ticket with up to a $410 discount.

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.

Former Prime Minister Tony Blair has called for the UK to scrap its 2050 net‑zero goal and ramp up North Sea oil and gas drilling, prompting a swift backlash from climate experts who label the suggestion “bizarre” amid a historic heatwave and rising energy costs. Blair’s Call to Re‑Open North Sea Oil and Gas E3G programme director Ed Matthew warned that abandoning net zero during the “worst May heatwave on record” would be a “massive setback” for the UK, emphasizing that clean energy is cheaper and has near‑zero operating costs. Economic Stakes: £200 million Heatwave Losses and Fossil‑Fuel Costs Heat stress on livestock and crops is projected to cost the UK economy over £200 million this year. The International Energy Agency’s Fatih Birol notes that new oil fields would have “little impact” on domestic fuel prices. Renewable‑energy growth, especially record‑breaking solar generation, is already reducing household energy bills. Why Renewables Outperform Fossil Fuel Revival in the UK Analysts such as Jess Ralston (Energy and Climate Intelligence Unit) argue that expanding solar and other clean‑power technologies shields consumers from volatile fossil‑fuel markets and supports energy security as the North Sea declines. Comparisons to Spain’s renewable‑driven price stability reinforce the case for electrification as the “obvious route” to lower bills. What the Next Steps Mean for UK Energy Policy Government spokespersons confirm that no new exploration licences will be granted, focusing instead on managing existing fields for the remainder of their lifespan while accelerating the clean‑power mission championed by Energy Secretary Ed Miliband. If the current trajectory holds, the UK is likely to cement its position as a leader in renewable deployment, rendering calls to revive North Sea drilling increasingly marginal in policy debates.

The Escalation of Violence in Southern Lebanon At least 16 people have been killed and 58 wounded in Israeli attacks in southern Lebanon, according to Lebanese health authorities, as Israel intensifies its assault and issues mass displacement orders across the region. Details of the Attacks Lebanon’s state-run National News Agency reported on Thursday that six of the victims belonged to the same family. They were killed in an Israeli drone strike while trying to flee at dawn along the Adloun Highway, a key route linking Sidon and Tyre, it said. 6 victims belonged to the same family Killed in an Israeli drone strike Incident occurred along the Adloun Highway The Humanitarian Crisis The attack came as Israel expanded its bombardment across southern Lebanon, hitting residential areas, roads and civilian infrastructure. The Lebanese army said one of its soldiers was killed in an Israeli strike in the Nabatieh area, the latest in a string of attacks targeting military personnel. Displacement Orders Israel has also issued sweeping displacement orders covering large parts of the south, including Tyre and surrounding areas. Residents were told to evacuate immediately and move north of the Zahrani River, roughly 40km (25 miles) from the Lebanon-Israel border. The Impact on Civilians The International Committee of the Red Cross has warned that Israel’s large-scale forced displacements and continued strikes on urban centres are placing civilians at severe risk and deepening a humanitarian crisis. The Future Outlook The escalation came as United States-mediated talks between Israel and Lebanon are due to resume on Thursday, beginning with technical discussions before moving to broader negotiations in early June. However, Israel has significantly intensified its military operations in the past two days, casting doubt over the prospects for diplomacy.

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 LeadA novel featuring a protagonist whose job is taken by AI has won the Climate fiction prize. Hum by Helen Phillips, the American writer's third novel, explores themes of technological displacement and the commodification of nature in a dystopian future.The Disneyfication of Nature in LiteratureHum is about a woman, May, who loses her job to a "hum" of the title – a humanoid robot. Struggling to find work, she becomes a guinea pig for an experimental injection that alters her face so it can't be recognised by surveillance. When she gets paid for it, she splashes out on family passes to the Botanical Garden, the last remaining green space in her city. There, things take a turn for the worse.The Climate Fiction Prize RecognitionThe prize, worth £10,000, was first awarded last year to Abi Daré for And So I Roar, the follow-up to her bestselling debut The Girl with the Louding Voice. This year's judging panel was chaired by Guardian theatre critic and former literary editor of the Independent, Arifa Akbar. Alongside Kit de Waal and Friederike Otto on the panel were author Jessie Greengrass and book influencer Simon Savidge.Judges' Perspectives on the NovelJudge and writer Kit de Waal described Phillips's book as being about the "Disneyfication of nature … turning nature into a rare place that we have to pay to see". Fellow judge and climate scientist Friederike Otto added that it "tackles the central reason that nothing is done about the climate crisis – privilege", while writer Daisy Hildyard described it as "mesmerising and scary".The Author's InspirationPhillips was inspired to write the book after walking home from work one day and having the thought that she needed to buy dishcloths, before opening her computer at home and finding that dishcloths were being advertised to her. "That eerie feeling stuck with me, and I started to think about what worst-case scenarios might arise from surveillance by an algorithm."Impact on Climate AwarenessHum "helps us connect with what really matters and stops us from sleepwalking into an inevitable dystopia", said Lucy Stone, CEO of Climate Spring, which funds the prize. "In the novel, the machines themselves start to question the insane volume of advertising and the consumer treadmill, and then show the family that there are multiple different futures lying ahead of them."Future RecognitionPhillips will appear at Hay festival to discuss the book on Saturday 30 May. Alongside Phillips on this year's shortlist were Madeleine Thien for The Book of Records, Robbie Arnott for Dusk, Keshava Guha for The Tiger's Share, Susanna Kwan for Awake in the Floating City and Maria Reva for Endling.