Breaking AI & Tech News Analyzed

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 LeadJilly Cooper's novels have captivated readers with their blend of romance, humor, and social commentary. The Guardian has ranked her best books, providing insight into her writing style and popular themes. Exploring Jilly Cooper's NovelsCooper's works are known for their strong female characters, romantic storylines, and satirical portrayal of social classes. Her novels often explore themes of love, relationships, and personal growth. Classic Jilly Themes Underdogs triumph; dogs also triumph. Artistic people are naturally hornier; also, horn players. There's a white knight for even the unlikeliest damsel. Mothers and daughters in erotic contest. There's nothing more embarrassing than wanting to be posher than you are. The Books 10. Tackle! (2023)In the last of Jilly Cooper's Rutshire Chronicles, Rupert Campbell-Black, now 67, navigates life with his wife Taggie, who has cancer. The story follows their daughter Bianca's romance with a footballer and Rupert's attempts to keep them in the same postcode. 9. Appassionata (1996)This novel follows Marcus, Rupert's son, as he navigates his engagement to Abigail and his secret affair with a Russian ballet dancer. The book explores themes of love, identity, and social class. 8. Octavia (1977)Octavia is a rare example of a bad-girl heroine. Rich and selfish, she steals her friends' boyfriends until she meets her match in Gareth. The novel is a commentary on the conflict between independence and intimacy. 7. The Man Who Made Husbands Jealous (1993)This novel follows Lysander Hawkley, a difficult love interest, as he navigates his relationships with women. The story explores themes of love, sex, and relationships. 6. Class: A View from Middle England (1979)This nonfiction work explores the lives and mores of fictional characters, satirizing social classes. Cooper's eye for the vanities and delusions of the upper classes is particularly sharp. 5. Jump! (2010)In the ninth Rutshire novel, a familiar heroine navigates her flaws and finds love. The story is a classic example of Cooper's blend of romance and social commentary.

The Explicit RoleNot many actors are relieved when they have to film an eye-poppingly explicit sex scene, but that was the case with Jamie Bell on Half Man. His role involved chemsex in saunas, dogging in car parks and illicit quickies in library loos. "Honestly, I was so grateful to be shooting that stuff and not fucking 16-page dialogue scenes, where you're emoting and it's so intense," says Bell. "On days when my character had to have sex with random people, I'd think: 'Thank God!' Frankly, it came as a welcome reprieve."The Creative PartnershipRichard Gadd's first TV show since the Emmy-gobbling global Netflix hit Baby Reindeer, Half Man chronicles the combustible, codependent relationship between two "brothers from another lover". Niall (Bell) is bookish, bullied and closeted. Ruben (Gadd) is the swaggeringly violent ex-con son of his mother's girlfriend. The six-part drama – which reaches its devastating finale next week – traces the inseparable duo's toxic relationship across three decades.The role of Niall was written specifically for Bell. "I didn't realise that when I initially read the scripts," says Bell. "But later, when I met Richard in Los Angeles to discuss it, he said he wrote it with me in mind. I was incredibly flattered … It's a sensory experience reading Richard's material. He truly takes you to those places in your own life. It probes experiences you've kept hidden away somewhere and chosen to forget."Character ComplexityHe was drawn to his Half Man character's complexity. "I thought: 'Woah, this man is on such a destructive downward spiral …' He's got everything he wanted in life but still can't accept who he is. Niall is living as several different people and he's not comfortable with any of them."Bell really empathised with gentle Niall being drawn to such an aggressive alpha male. "Ruben is this disaster of a man. A bull in a china shop, destroying everything and everyone in his wake. Why doesn't Niall step away? Partly self-preservation. Niall feels vulnerable whereas Ruben is intimidatingly powerful. He can be Niall's protector. People fear him. Because of that, Niall latches on to him almost parasitically. Ruben becomes his life support system. I understood that 100%."I grew up in an all-female household and did ballet, so I used to attach myself to tough, troubled guys too. Not my kind of crowd at all but I'd rather have them on my team than not."Themes of Toxic MasculinityNiall struggles with his sexuality to the extent that he undergoes conversion therapy. As a straight man, Bell felt an acute sense of responsibility portraying that. "It's the centre of the character," he says. "The basis of all his issues. I took that very seriously. Niall's self-hate goes beyond shame or societal pressure. Somehow, his own sexuality doesn't sit right within his worldview. That, to me, is beyond sad. 'Be yourself' is the simplest advice yet at times, the hardest to adhere to." As a result of his turmoil, Niall goes to some dark places sexually. "Because of his repression, everything is guarded and hidden. That becomes the excitement. It's an addiction. He gets a kick from dangerous sex."With its portrayal of male rage and damaged antiheroes, Half Man taps into debates about toxic masculinity. Does Bell believe his gender is in crisis? "Look at who are the majority transgressors in this world," he says. "It's men, on all fronts – not just misogyny but conflict, crime, everything. It's important to shine a light on that. The conversation is ongoing. Hopefully this show adds something."The ImpactIt's no-holds-barred TV, full of sex, violence and gut-punch plot twists. "It's a brutal, beastly thing that Richard has created," says Bell. "I'd be lying if I said it was easy or fun to make." Yet the show represents a significant moment in television, pushing boundaries in its depiction of complex male relationships and sexuality. Bell's performance as Niall, combined with Gadd's writing and performance as Ruben, creates a character study that resonates with contemporary discussions about identity, self-acceptance, and the destructive patterns that can emerge from unresolved trauma.

The Lead: Resilience in CodeIn the midst of a devastating war, Gaza's technology sector is demonstrating remarkable resilience by pivoting from traditional software development to creating life-saving mobile applications. Young developers, supported by co-working initiatives like Taqat Gaza, are utilizing code to solve immediate humanitarian crises, ranging from transportation logistics to the recovery of displaced families' belongings.The Rise of 'War-Time' ApplicationsThe most significant development is the emergence of localized solutions tailored to the specific hardships of the enclave. Two standout examples include Saja al-Ghoul's 'Waselni' (meaning 'help me reach my destination') and Bahaa al-Mallahi's 'Rajja’li' (meaning 'return it to me').Waselni: A ride-sharing platform designed to reduce transportation costs and bypass the cash crisis by allowing users to coordinate shared trips and use a prepaid electronic wallet.Rajja’li: A digital lost-and-found platform that helps reunite people with personal belongings, documents, and even missing children, addressing the chaos of displacement.The Economic and Technical BarriersDespite the ingenuity, the development process is fraught with severe financial and infrastructural challenges. The cost of development has skyrocketed due to the necessity of paid Artificial Intelligence tools and expensive software subscriptions.Infrastructure Costs: Internet and electricity have become 'luxuries,' forcing developers to pay hundreds of shekels monthly for co-working spaces just to access basic utilities.Employment Crisis: Many skilled programmers have lost jobs or remote contracts, trapping talent in a cycle of unemployment and high living costs.Bridging the Global Knowledge GapSharif Naeem, founder of Taqat Gaza, identified a critical long-term threat: a massive technical knowledge gap caused by the isolation of Gaza's developers from the global tech world. While the global market accelerated with AI advancements, Gaza's youth were focused on survival.To counter this, Taqat Gaza has evolved from a simple workspace into a training incubator, partnering with universities to bridge the gap between local capabilities and modern market demands.Future Outlook for Gaza's Tech SectorThe future of Gaza's tech industry depends on external investment and infrastructure stability. While the talent pool remains immense, the current environment stifles growth. For the sector to recover, there must be a shift from survival mode to genuine investment in human capital, allowing these developers to move beyond local problem-solving to global competitiveness.

The AI Funding Surge Cognition, the makers of the autonomous AI software engineer named Devin, has raised more than $1 billion at a $25 billion pre-money valuation, the company announced on Wednesday. Valuation Leap That’s a major leap from its $10.2 billion post-money valuation when it closed a $400 million funding round just eight months ago in September. Investor Lineup The round was led by Lux Capital and General Catalyst, with existing investors pouring in, including Founders Fund, 8VC, and others. The round also included new investors Ribbit Capital, Atreides, and Layer Global. Market Confidence This is a giant vote of confidence from top-tier VCs that there will be room for independent AI software coding startups. Last year, all signs pointed to model makers swallowing this hot market themselves. Certainly Anthropic’s Claude Code, OpenAI’s Codex, and maybe even Google’s coding agent Jules, (after Google’s acqui-hire deal of Windsurf last year), have captured a lot of it. Customer Traction But Cognition, which acquired the remaining bits of Windsurf last year, says it counts big enterprises like Mercedes-Benz, NASA, Goldman Sachs, and Santander as customers. It also says it’s reached $492 million in annualized revenue run-rate as enterprise usage of Devin has grown 50% month over month for the past six months.

The Lead A phenomenon dubbed "AI psychosis" is reportedly affecting tech executives, particularly CEOs, who are overestimating artificial intelligence capabilities while simultaneously implementing mass layoffs. This disconnect between perception and reality is creating organizational chaos in the tech industry. The CEO AI Delusion Box founder Aaron Levie has suggested that CEOs are uniquely prone to "AI psychosis" because they're sufficiently distant from the implementation details of AI systems. When executives "play with AI" by developing prototypes or generating contracts, they often make the leap to believing AI agents can fully handle complex work without understanding the limitations. Unlike their technical teams, CEOs aren't responsible for reviewing code, discovering bugs, or training AI models on company-specific requirements. This lack of firsthand experience with AI's limitations doesn't stop them from making decisions based on overoptimistic assessments of AI capabilities. The Layoff Numbers In the first five months of 2026 alone, the tech industry has already seen 115,430 people fired from 152 tech companies. This nearly matches the 124,636 people let go by 275 companies throughout all of 2025, according to industry tracker Layoffs.fyi. The majority of these layoffs have been attributed to AI, though many argue that companies are engaging in "AI washing" - crediting AI productivity gains when other business decisions are really driving the cuts. The ClickUp Experiment Zeb Evans, CEO of project management software startup ClickUp, proudly declared on X that he had laid off almost a quarter of his employees (22%) after implementing approximately 3,000 AI agents for internal work. Evans insisted this wasn't a cost-cutting measure but rather an attempt to create what he calls a "100x org" composed of people who run and review AI agents' work. The Productivity Paradox Research on AI and productivity presents a complex picture. A meta-analysis published in UC Berkeley's California Management Review found "no robust relationship between AI adoption and aggregate productivity gain." Meanwhile, research from the National Bureau of Economic Research concluded that while AI adoption does improve productivity, there's a "productivity paradox" in which perceived gains exceed measured improvements. MIT researchers studying thousands of AI agents found they aren't yet producing human-quality work in many cases. They predict that at the current rate of improvement, large language models will "be able to complete most text-related tasks with success rates of, on average, 80%–95% by 2029 at a minimally sufficient quality level," with additional time needed to outperform humans. The Executive Bottleneck Research published in the Harvard Business Review suggests that when everyone in an organization uses AI to produce more output, the bottleneck simply shifts to executives. Their work awaits authorization of all the content being generated by AI-empowered employees. If everyone is empowered to act, the system risks becoming overwhelmed, as evidenced by OpenAI's experience last year. As Levie advises, CEOs should use AI extensively to understand both its capabilities and limitations. However, with the current trend of mass layoffs and organizational restructuring based on overoptimistic AI assessments, the tech industry may face continued chaos until this balance is achieved.

Executive Summary The police criminal inquiry into the Post Office Horizon IT scandal, codenamed Operation Olympos, faces a potential five‑year delay unless the government provides an extra £16.5 million and expands the team to 210 investigators. Without this support, the deadline for filing charges with the Crown Prosecution Service could slip to 2033, extending the hardship for more than 11,500 claimants and their families. Funding Gap Threatens Five‑Year Extension of Operation Olympos Metropolitan Police commander Stephen Clayman warned that the investigation must double its staff to meet a target of late 2027/early 2028. The current team of just over 100 officers, up from 80 in 2023, is insufficient to process the 8 million documents already seized. Budget Shortfall: £16.5 million Needed to Meet 2028 Deadline Home Office special grant: £2.8 million Projected total cost of the inquiry: £19.3 million Funding gap: £16.5 million Investigators required: increase from 111 to 210 Documents to be reviewed: > 8 million Consequences for Victims and the Justice System The delay would prolong uncertainty for the 3,500 wrongly accused branch‑owner operators and the 11,500 claimants who have so far received £1.48 billion in redress. Families of victims, newly eligible for compensation under a government scheme, risk further hardship as the inquiry’s findings on perjury and perverting the course of justice remain pending. Outlook: Potential Delays and Funding Negotiations Clayman indicated that without additional resources, the timeline could be pushed back by up to five years, a scenario he described as “unacceptable”. Negotiations with the Home Office and Treasury are expected to intensify in the coming months, with the possibility of a revised budget being announced before the end of 2026. If funding is secured, the investigation aims to submit its final files by early 2028, paving the way for prosecutions and full accountability for the Horizon system’s failures and the role of Fujitsu.

The UK's Historic Heatwave: Record May TemperaturesEngland, Wales and Northern Ireland recorded their highest temperatures of 2026 on Sunday, which was also the UK's hottest May day for at least 79 years. Kew Gardens in west London recorded 32.3C (90.1F), Cardiff 27.4C and Armagh 23.4C, while Scotland reached 23.5C in Edinburgh, just 0.1C below the record set in Aboyne on 1 May.Temperature Records Across the NationThe first area of the UK to hit the heatwave threshold was Santon Downham in Suffolk, which reached the criteria of recording temperatures of more than 27C for three consecutive days at 11.30am on Sunday. Other areas officially in heatwave conditions include Heathrow, Kew Gardens and Northolt in London, Benson in Oxfordshire, Brooms Barn in Suffolk, and High Beach and Writtle in Essex.Saturday was the UK's first 30C day of the year, the earliest date that temperature has been reached since 1952. This marks a significant shift in seasonal temperature patterns across the country.Climate Science: The Connection to Global WarmingThe climate crisis is increasing the likelihood of extreme heat events. A Met Office spokesperson stated: "Breaking the 32.8C May record is around three times more likely now in our current climate than it would have been in natural climate conditions before the Industrial Revolution. What was around a one-in-100-year event is now around a one-in-33-year event."Large parts of western Europe are experiencing similar temperature peaks, with the French national weather agency, Météo-France, noting that periods of exceptional heat are to be expected "more and more often and more and more prematurely, and to be more and more intense."Social and Practical Impacts of the HeatwaveAs temperatures soared, sunbathers flocked to beaches across the UK, and Lord's cricket ground relaxed its strict dress code for its members' pavilion. The Marylebone Cricket Club usually requires spectators there to wear lounge suits or tailored jackets and ties, but made exceptions during the extreme heat.Sports events also adapted to the conditions, with drinks breaks introduced at the League One playoff final between Bolton Wanderers and Stockport County at Wembley and during Premier League games as the top-flight football season concluded.However, the heatwave also caused practical problems, with people living in three villages in Kent experiencing no water or low pressure for a second day. The affected areas were Charing, Challock and Molash near Ashford, where South East Water reported supply problems related to pumping station issues.Health Alerts and Future Temperature ExpectationsThe UK Health Security Agency (UKHSA) issued amber heat alerts for multiple regions including the East Midlands, the West Midlands, the east of England, London and the south-east. These alerts will remain in place until 5pm on Wednesday, meaning "an increase in risk to health for individuals aged over 65 years or those with pre-existing health conditions, including respiratory and cardiovascular diseases."Temperatures could rise again on Monday, with possible highs of between 33C and 34C, potentially breaking more records and extending the duration of this exceptional heat event. Authorities continue to advise caution around open bodies of water and to stay hydrated during the prolonged period of high temperatures.

On 25 May 2026, the World Surf League’s New Zealand Pro at Raglan was abruptly halted when a photographer was bitten by an unidentified sea creature just before 8:30 am during the men’s semi‑finals.Photographer attacked during New Zealand Pro finalsLocation: near Raglan, Manu Bay, North Island, New Zealand.Time: just before 8:30 am local time.Victim: the event’s water photographer, who suffered minor puncture wounds.Uncertainty: doctors on scene leaned toward a sea lion bite, but a shark could not be ruled out.Minimal injuries and immediate medical responseThe photographer was assessed on‑site, declared stable, and transported to hospital for treatment of minor puncture wounds.Brazilian surfers Yago Dora and Italo Ferreira were extracted from the water on jet skis and were unharmed.Safety concerns prompt event suspensionWSL activated “code red” for the first time, halting the competition for about 10 minutes.Organisers placed the event on hold pending further safety assessments.Statement from WSL emphasized staff and competitor safety as the top priority.Potential resumption and future precautionsOrganisers aimed to restart Dora and Ferreira’s heat around midday on the following Monday.The incident highlights the rarity of marine animal attacks in the region and may lead to revised safety protocols for future surf events.