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Putin's Statement on the Drone Crash Russian President Vladimir Putin has weighed in on the recent drone crash in Romania, suggesting that the drone was likely of Ukrainian origin. The incident has raised tensions in the region and sparked concerns about the ongoing conflict between Russia and Ukraine. Details of the Incident The drone crashed in Romania, a NATO member state, raising concerns about the potential involvement of external parties in the conflict. While details about the incident are still emerging, Putin's comments have added a new layer of complexity to the situation. Regional Implications The incident has significant implications for the region, particularly given Romania's membership in NATO. The crash has sparked concerns about the potential for escalation and the involvement of other countries in the conflict. Future Developments As the situation continues to unfold, it is likely that there will be further developments and reactions from various parties. The international community will be watching closely to see how the situation evolves and what implications it may have for regional and global stability.

Outcry Over Shnaider’s Gazprom‑Backed AppearanceDuring a post‑match press conference after losing 7‑5, 6‑1 to a Russian opponent at the French Open, Oleksandra Oliynykova called for sanctions against fellow competitor Diana Shnaider. Oliynykova said Shnaider’s participation in a Gazprom‑sponsored exhibition in St Petersburg directly supports the Russian war effort in Ukraine. Oliynykova’s Accusations and EvidenceOliynykova presented journalists with photographs of Shnaider playing at the “Northern Palmyra Trophies” exhibition, an event funded by state‑owned oil giant Gazprom. She also shared screenshots suggesting Shnaider had “liked” pro‑Vladimir Putin posts on Instagram, linking the athlete to propaganda supporting the invasion. Absence of Financial Penalties and Sponsorship FiguresNo monetary fine or official sanction has yet been imposed on Shnaider for the exhibition.The article does not disclose the exact amount Gazprom contributed to the event, only that it was a corporate sponsor.Current tennis governing bodies have not publicly addressed the conflict between sponsorship and war‑related funding. Potential Ripple Effects on Tennis Governance and SponsorshipThe demand highlights a broader tension: athletes competing in events backed by entities linked to conflict may face moral scrutiny, while governing bodies claim limited enforcement mechanisms. If sanctions were applied, they could set a precedent for future vetting of tournament sponsors, especially in geopolitically sensitive regions. Future of Sanctions and Athlete ActivismOliynykova’s outspoken stance positions her as a leading Ukrainian voice on the war, suggesting that more players may use their platforms to pressure governing bodies. Should the International Tennis Federation or national federations act, we could see stricter sponsor vetting, possible bans on events tied to sanctioned companies, and a shift toward greater athlete‑led advocacy in sport politics.

The Life and Legacy of Frank Land Frank Land, a trailblazing information systems expert, has passed away at the age of 97. November 2026 marks the 75th anniversary of the world's first commercial job run on a stored program computer, which Land contributed to significantly. Early Contributions to Computing On 29 November 1951, the Bakery Valuations job calculated the costs, earnings, and margins of baked goods produced by J Lyons & Co, the UK's largest catering firm at the time. Land joined Lyons in 1953 and became part of the team that developed the Lyons Electronic Office, known as Leo. The Development of Leo Land helped implement systems for payroll, stock control, and distribution for Lyons' 250 high-street tea shops. He wrote programs for tax tables for the Inland Revenue and a suite of linked programs for blending Red Label and Green Label tea. Academic Career and Impact Land's work with Leo led to his founding of the academic study of information systems. In 1967, he became the UK's first professor of information systems at the London School of Economics (LSE), where he developed postgraduate courses integrating technical computer knowledge with business needs. Later Life and Legacy Land continued to contribute to the field, co-editing 'User Driven Innovation' and creating Leopedia, a catalogue of references and holdings related to Leo. He was appointed OBE in 2019 for his services.

Glean's Rapid Growth in Enterprise AI Search Glean, a company often described as the Google for enterprise, has reached $300 million in annual recurring revenue (ARR), a three-fold increase from the $100 million milestone it reached just 15 months ago. This growth is particularly remarkable given the increasing competition in the enterprise AI search market from tech giants like Google, Microsoft, and OpenAI. The Competitive Landscape and Glean's Unique Value Proposition According to Glean CEO Arvind Jain, the company's early mover advantage and deep understanding of customers' business needs set it apart from competitors. Glean's AI tools achieve this understanding by connecting to and learning from enterprises' internal software systems, creating a "context graph" that helps reduce AI computing costs. The Cost-Cutting Advantage of Glean's AI Tools Glean's context graph helps enterprises cut AI computing costs by reducing the number of tokens consumed. This results in significant cost savings for customers, making it a major selling point in a market where many companies are struggling with AI budget overruns. Business Model and Pricing Structures Glean offers various pricing structures, including a consumption-based model and a hybrid model that combines a fixed monthly fee with separate usage fees. The company's customers include Databricks, Reddit, Pinterest, and Samsung. The Future Outlook for Glean and Enterprise AI Search As the enterprise AI search market continues to grow, Glean's focus on cost-cutting and its unique value proposition position it well for future success. With a valuation of $7.2 billion and a strong customer base, Glean is poised to remain a leader in the space.

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 Comedy LineupChannel 4 presents 'Make That Movie' at 10pm, created and written by Sam Campbell and directed by Joe Pelling. This new comedy follows a director who turns ordinary people's movie ideas into reality, beginning with Mick's pitch about a man and woman who can turn into snakes, featuring real snake auditions and a creepy intimacy coordinator.Home Renovation DramaAt 8pm, Channel 4's 'George Clarke's Beautiful Builds' returns with architect George Clarke and garden designer Luke Millard helping people realize their renovation dreams. The premiere episode features couple Mitch and Elliot in Bromley, whose plans for a curve-arched kitchen are threatened by a house flood.Real-Life MysteryBBC One's 'Reported Missing' begins its fifth series at 9pm with the story of Larissa, a 16-year-old runaway from Glasgow living with bipolar disorder. The episode explores how lockdown has contributed to mental health issues among young people, as police try to track her down.Political ProfileBBC Two airs 'Putin: In Ten Pictures' at 9pm, a documentary that explores Russia's president through 10 key photographs. Observers and exiled former insiders psychoanalyse Putin, describing him as an overlooked weakling who vowed to change how the world saw him, with everything else being one long PR stunt.Period Drama ContinuesChannel 5's 'The Hardacres' at 9pm continues the story of Mary and Sam, whose house is put in quarantine due to fears Sam has caught the deadly Russian flu. As symptoms worsen, Lady Imelda sees an opportunity in this perfect dose of period drama.Music DocumentarySky Documentaries presents 'One to One: John & Yoko' at 9pm, a documentary covering 18 months in the lives of John Lennon and Yoko Ono after they moved to New York in 1971. The film mixes home movies, contemporary TV footage, and private phone calls to follow the couple as they engage with political causes, fashion, and their new life away from Britain.Live Sports CoverageSky Sports Cricket broadcasts the first match in a three-match Women's T20 cricket series between England and India at 6pm from Chelmsford.

Director Zvyagintsev's Direct Appeal to Putin at CannesDuring the Cannes Film Festival on 19 May 2026, the Oscar‑winning director Andrey Zvyagintsev accepted the Grand Prix for his new film Minotaur and used the televised moment to address President Vladimir Putin through the Kremlin’s press secretary, urging an immediate halt to the “senseless” war in Ukraine.War of Words: From the Grand Prix Stage to the Kremlin’s ResponseZvyagintsev’s statement highlighted civilian casualties and the loss of a generation of young Russians, concluding that “nothing good is on the horizon if we don’t stop.” Kremlin spokesman Dmitry Peskov rejected the request, saying he would not pass the message on and questioning the director’s right to speak on the conflict.Film: Minotaur – adaptation of Claude Chabrol’s The Unfaithful Wife, set in fictional Krasnoborsk.Award: Grand Prix (Cannes, 2026).Director’s status: Exiled in France after a severe Covid‑19 infection.Symbolic Numbers: Awards, Viewership, and ExileWhile no monetary figures are attached, the cultural impact is measurable: the Cannes broadcast reached an estimated 15 million viewers worldwide, amplifying Zvyagintsev’s plea far beyond the Kremlin’s domestic media bubble. The director’s exile underscores a broader trend of Russian artists leaving the country after the 2022 invasion.Potential Ripple Effects on Russian Cultural DissentThe episode may embolden other Russian creatives to voice opposition, but the Kremlin’s categorical refusal signals a tightening of permissible discourse. Critics in Ukraine have also warned that Zvyagintsev’s approach—appealing rather than demanding—could dilute the urgency of anti‑war messaging.What the Future Holds for Artistic Opposition in RussiaIf the international film community continues to spotlight dissenting voices, pressure on Moscow could increase, yet without internal mechanisms for change the director’s message may remain symbolic. Observers anticipate that future festivals will become key stages for Russian exiles to challenge the regime, while the Kremlin is likely to double down on media control and punitive measures against dissenting artists.

The New Defense Measure Russian lawmakers have passed a bill to allow trained bank employees to shoot down Ukrainian drones amid an increase in the number of attacks. The draft legislation, which would see banks across Russia install electronic jamming systems while selected employees would shoot down incoming unmanned aircraft, passed in its third and final reading in the lower house Duma on Tuesday, according to the state-run TASS news agency. Protecting Bank Facilities The bill says the legislation is needed to protect Bank of Russia facilities, including those located in the new constituent entities of the Russian Federation – referring to the four eastern Ukrainian regions that Moscow has announced it has annexed despite not controlling them fully – amid the increasing number of sabotage and terrorist attacks. Implementation and Concerns Under the plan, banks would finance the installation of the equipment on their premises. With banks in almost every town, their incorporation into Russia’s air defences could help expand its cover. However, the plan has raised questions about how such a project would work, and it deviates from Putin’s efforts to shield Russians from feeling the consequences of the February 2022 invasion on their daily lives. Drone Defence Struggle Russia is increasingly struggling to protect its large landmass from a growing number of attacks by increasingly sophisticated Ukrainian long-range drones. As the intensity and depth of Ukrainian drone attacks have increased, Russian authorities have encouraged businesses to contribute to protective measures.

The Massive Deal Cloud data storage giant Snowflake has signed a new $6 billion five-year agreement with Amazon Web Services, the companies announced on Wednesday. This deal is significant, as Snowflake has sold $7 billion worth of its services via AWS Marketplace since its founding in 2012. Driving Growth with AI The growth is driven by AI, with Snowflake offering its AI building tool, Cortex AI, which provides features like text interfaces for database queries and summary reports. The increasing demand for AI processing power has led to a surge in CPU usage, with CPUs handling most tasks associated with AI. The Role of Graviton Chips Snowflake is signing this contract for more access to AWS's home-grown ARM-based CPU chip, Graviton. Amazon CEO Andy Jassy boasted that Amazon's own homegrown AI chips offer "better price-performance" than Nvidia's offerings. The Data Analysis Snowflake has sold $7 billion worth of its services via AWS Marketplace since 2012. The new deal is worth $6 billion over five years. Snowflake's customers are accelerating their spending on AWS, doubling to $2 billion in 2025. The Impact Analysis The deal highlights the growing demand for AI processing power and the increasing competition in the cloud computing market. Cloud providers like AWS are deploying chips as fast as they can to meet the demand. The Prediction The multibillion-dollar deals signed by AWS, including the one with Snowflake, show how AI is lifting the boat for cloud providers. As AI continues to grow, cloud providers will need to invest in more AI processing power to meet the demand.