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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.

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.

Anti‑immigrant anger is reaching a new peak in South Africa as municipal officials ordered the removal of makeshift camps that housed thousands of migrants, leaving them exposed on public streets. The move has ignited protests, a surge in xenophobic incidents, and a heated debate over the nation’s immigration policy. Escalating Xenophobic Tensions After Forced Evictions City councils in Johannesburg and surrounding townships issued eviction notices this week, citing health and safety concerns. Residents of the cleared camps report being given less than 24 hours to vacate, with many forced to sleep on sidewalks or in overcrowded shelters. Evictions began on 2026-05-25 across three major informal settlements. Local NGOs estimate that over 5,000 migrants were displaced. Community leaders claim the actions were taken without adequate consultation. Limited Data Highlights a Growing Crisis Official statistics on the displacement are scarce, but available reports point to a sharp rise in xenophobic activity: The South African Police Service logged a noticeable uptick in hate‑crime complaints in the past month. Human‑rights groups note an increase in verbal and physical attacks targeting foreign nationals. Economic analysts warn that prolonged unrest could deter foreign investment. Political Fallout and Social Cohesion at Risk The government’s response has split opinion. While some politicians defend the evictions as necessary for public order, opposition parties and civil‑society groups accuse the administration of stoking xenophobia. President Cyril Ramaphosa called for “orderly migration management” but avoided direct criticism of local authorities. Opposition leader John Steenhuisen demanded an immediate halt to evictions and a review of immigration policy. International bodies, including the UN, have urged South Africa to uphold the rights of migrants. Potential Policy Shifts and International Scrutiny Analysts predict that sustained pressure could force the government to adopt a more coordinated approach: Implementation of a national framework for temporary housing of displaced migrants. Increased funding for community‑integration programs to mitigate xenophobic sentiment. Possible sanctions or aid reductions from foreign partners if human‑rights violations continue. Until concrete measures are taken, the risk of further unrest remains high, and South Africa’s reputation as a regional hub for trade and tourism could suffer.

The Flavor Crisis in American FoodThe article examines the phenomenon of declining flavor in American food products, noting that taste has been increasingly sacrificed for other factors in modern food production.Industrial Food ProductionOne key factor discussed is the impact of industrial food production methods on flavor quality, with large-scale operations often prioritizing efficiency and shelf life over taste.Processed Foods and Artificial FlavorsThe rise of processed foods and reliance on artificial flavors is identified as another significant contributor to the flavor decline in American cuisine.Cultural ImplicationsThe article explores how this flavor loss has affected American food culture and the relationship between consumers and their food.Looking ForwardDespite the challenges, the article suggests that there may be growing awareness and efforts to address the flavor crisis in American food.

A former senior CIA official, David Rush, was taken into custody on May 19 after a joint CIA‑FBI operation uncovered a cache of 303 gold bars valued at over $40 million, along with $2 million in cash and luxury watches. The alleged theft, spanning from 2009 to 2026, has ignited scrutiny of the agency’s internal oversight and the use of gold in covert government finance.Details of the Alleged Embezzlement and the Gold Bar CacheRush, a former senior executive‑service level employee with top‑secret clearance, is accused of misappropriating government assets for personal gain.The FBI affidavit states he claimed military leave and education credentials that were later proven false.From November 2025 to March 2026, he allegedly requested “significant quantity of foreign currency and tens of millions of dollars in gold bars for work‑related expenses.”Searches on May 18 revealed 303 gold bars (≈1 kg each), $2 million in U.S. currency, and 35 luxury watches, many Rolexes.Financial Scale: Valuation of Gold, Cash, and Luxury Watches303 gold bars – estimated market value > $40 million.$2 million in U.S. cash recovered.35 high‑end watches, primarily Rolex, estimated at several hundred thousand dollars.Potential additional undisclosed assets, given the “significant quantity” of foreign currency mentioned in the affidavit.Implications for CIA Oversight and Government Asset ControlsThe case highlights gaps in the CIA’s internal audit mechanisms, especially regarding high‑value commodity allocations for “work‑related expenses.” It also revives longstanding speculation about the agency’s use of gold as a covert funding tool, a practice documented in historical accounts such as Gold Warriors. If proven, the misuse could erode public trust and prompt congressional hearings on asset tracking and clearance protocols.What Comes Next: Legal Proceedings and Policy ReformsRush remains detained pending a detention hearing scheduled for Friday in Alexandria, Virginia.Federal prosecutors are likely to pursue charges of theft of government property, fraud, and false statements.Expect a review by the Office of the Director of National Intelligence (ODNI) to tighten controls on commodity disbursements.Congress may introduce legislation mandating stricter reporting and independent audits of any gold or foreign‑currency transactions within intelligence agencies.

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 LeadUnited States President Donald Trump has threatened longtime ally Oman with military force if it gets involved in the dispute over shipping access to the Strait of Hormuz, as Washington's war on Iran once again risks engulfing the Middle East. Trump's threat to "blow up" Oman came as Muscat reportedly held talks with Iran about overseeing passage through the strategic waterway that handles more than 20 percent of the world's global oil traffic.Trump's Unprecedented Threat Against a Key Ally"Nobody is going to control it," Trump said of the strait during a cabinet meeting in Washington. "It's international waters, and Oman will behave just like everybody else, or we will have to blow them up." This direct threat against a country with which Washington has had relations for more than 200 years has sent shockwaves across the region and drawn international criticism.While Hormuz is an international strait, most of it is located solely in Iranian and Omani territorial waters – not international waters – with parts of its outlying areas reaching United Arab Emirates (UAE) territorial waters. This geographical reality complicates Trump's assertion that the waterway is purely international.The Strategic Importance of the Strait of HormuzAs the only route for Gulf oil producers to ship exports to the open ocean, the strait has served as a free international maritime route for decades. Following the US-Israeli joint attacks on Iran on February 28, however, Tehran closed the waterway and began to assert sovereignty over it, including charging tolls of as much as $2m per ship at times.Under international maritime law, countries are not permitted to charge tolls to shipping passing through natural straits such as Hormuz, even where they are not in international waters. Countries can, however, provide services to shippers, such as insurance, maintenance and docking assistance.Regional Implications of Trump's ThreatShortly before Trump's comment, Iran's state television reported that Iran and the United States were close to agreeing on a memorandum of understanding (MOU) under which Tehran and Muscat would jointly control the strait. The proposal designates payments for passing vessels, framed as "fees for services" rather than "tolls."While the Trump administration has called the claims of such an MoU "a complete fabrication," analysts say his threat suggests that an understanding between Iran and Oman is precisely what the US president is trying to avoid."What Washington wants to prevent is the normalisation of Iranian control over Hormuz, dressed in administrative and legal clothing and given Arab cover by a US ally," Muhanad Seloom, non-resident senior fellow at the Middle East Council on Global Affairs, told Al Jazeera.International Reaction and Legal ConcernsCritics called the threat reckless. Raed Jarrar, the advocacy director at the US-based rights group DAWN, likened the US president's comments to those of a "mafia boss.""The UN Charter prohibits the threat of force against any state, and that prohibition binds the United States exactly as it binds everyone else," Jarrar told Al Jazeera. "Threatening to 'blow up' an Arab country because its waters happen to sit along an oil route Washington wants reopened is the same lawless logic that produced this war in February."Samir Puri, a visiting lecturer in war studies at King's College in London, said Trump's threat to Oman was "really surprising" and warned that it would "send shockwaves across the region."Oman's Diplomatic Role in the US-Iran ConflictOman has played a unique role in the region as a mediator between the US and Iran. Omani Foreign Minister Badr Albusaidi was a key mediator in US-Iran nuclear talks before the war on Iran began. Just before the US-Israeli joint attack on Tehran in February, Albusaidi had been meeting US officials, including Vice President JD Vance, to facilitate negotiations about the future of Tehran's nuclear programme.Unlike other US allies in the Gulf, such as Qatar, Bahrain and the UAE, Oman does not host US forces. It was nevertheless dragged into the conflict when Iran launched attacks on US military assets and energy infrastructure across the Gulf region in the early days of the war.Future Outlook for the RegionSeloom, from the Middle East Council on Global Affairs, said Oman is "one Gulf state that is simultaneously a US security partner and Iran's most trusted Arab interlocutor.""In peacetime, that ambiguity is an asset. In wartime, it becomes a liability, which is precisely the inversion now playing out," he told Al Jazeera.The analyst argued that joint Iran-Oman control over Hormuz was "more posture than probability." "Oman's real interest is not co-owning Iran's blockade; it is brokering the strait's reopening," he said.Still, according to Seloom, the prospect of Iran and Oman jointly shaping the future of the Strait of Hormuz alarms the US president for three reasons: "It would turn Iran's grip on the chokepoint into a permanent post-war fact rather than a temporary act of war; it would set a precedent that littoral states can metre and monetise an international waterway, eroding the freedom-of-navigation principle the United States underwrites worldwide; and it would hand Tehran a strategic win that outlasts any ceasefire."

The United Nations' weather agency has warned that the planet is on track to experience its hottest year on record by the end of the decade, with climate risks intensifying across the globe.WMO Forecast Signals 86% Likelihood of New Hottest Year Within Five YearsIn a report released on Thursday, the World Meteorological Organization (WMO) stated there is an 86% chance that one of the next five years will surpass 2024 as the warmest year since records began. The agency also highlighted a 75% probability that the five‑year average temperature from 2026 to 2030 will exceed the 1.5 °C increase above pre‑industrial levels.Statistical Outlook: Probabilities, Temperature Gaps, and Regional Shifts86% chance of a new record year within the next five years.75% chance that the 2026‑2030 average exceeds 1.5 °C (2.7 °F) above pre‑industrial levels.Arctic winter temperatures projected to be 2.8 °C (5 °F) above the 1991‑2020 average, more than three‑and‑a‑half times the global rate.Rainfall expected to rise in the Sahel, Northern Europe, Alaska and Siberia, while the Amazon is forecast to become drier.Implications for the Paris Agreement and Global Climate PolicyAlmost 200 countries signed the Paris Agreement in 2016, pledging to limit warming to 1.5 °C. The WMO’s findings suggest the target is becoming increasingly unattainable unless emissions are cut dramatically. Michael Jacobs, professor of political economy at the University of Sheffield, warned that nations must accelerate renewable‑energy deployment and electrification. Simon Stiell, the UN climate chief, called recent European heatwaves a “brutal reminder” of the stakes.Looking Ahead: What 2030 Could Mean for Extreme Weather and Mitigation EffortsIf the projected trends materialise, the world can expect more frequent and intense heatwaves, stronger storms, and heightened stress on water resources. Policymakers will face pressure to tighten emissions‑reduction commitments, expand climate‑resilient infrastructure, and secure financing for adaptation in vulnerable regions. The next five years will be a decisive window for translating climate pledges into concrete action before the 2030 temperature threshold is crossed.

General Compute, a new inference neocloud, raised a $15 million seed round at a $60 million post‑money valuation and booked a $300 million order for SambaNova’s upcoming SN50 chips. The company promises 600‑700 tokens per second per chip and a deployment model that fits into existing, air‑cooled data‑center infrastructure. General Compute’s Funding and Strategic Partnerships Seed round led by FUSE VC with participation from Carya Venture Partners and Village Global Ventures. Co‑founders Finn Puklowski (CEO) and Jason Goodison (CTO) partnered with SambaNova, an Intel‑backed chipmaker focused on inference. General Compute will be the first neocloud to deploy SambaNova’s SN50 chips, ordering $300 million worth of hardware. Colocation strategy includes traditional data‑center providers and repurposed crypto‑miner facilities. Financial Snapshot: $15 Million Seed and $300 Million Chip Order Seed funding: $15 million raised, valuing the company at $60 million post‑money. Chip commitment: $300 million of SN50 chips on order, enough to power a large inference fleet. Comparable market moves: Nvidia’s $20 billion acquisition of Groq (Dec 2025) and Cerebras’ $57 billion IPO (May 2026) illustrate the scale of inference‑focused investments. Implications for the AI Inference Landscape The shift from GPU‑centric training to specialized inference hardware is accelerating. SambaNova’s memory‑rich, flexible architecture claims to outperform GPUs, Groq, and Cerebras on token‑throughput, delivering 600‑700 tokens/sec versus ~250 tokens/sec for GPUs. Air‑cooled, low‑power chips lower the barrier to entry for colocation, enabling rapid deployment in existing facilities and even in repurposed crypto‑mining sites. This could democratize high‑speed inference, pressure pricing, and spur a wave of niche cloud providers focused on agent‑to‑agent workloads. What the Next Year May Hold for Inference‑First Cloud Providers When SambaNova releases its next‑gen chips later in 2026, General Compute’s early access positions it to capture a sizable share of the fast‑inference market. Expect: Increased competition among inference‑only clouds (e.g., CoreWeave, OpenRouter) to offer multi‑model routing and token‑cost optimization. More venture capital flowing into inference‑focused startups, mirroring the recent $113 million Series B for OpenRouter. Potential consolidation as larger players (Nvidia, Intel) seek partnerships or acquisitions to secure the most efficient inference stacks. Speed and cost efficiency will become the primary differentiators, shaping the architecture choices that dominate the AI future.