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Asana's Strategic AI AcquisitionAsana has acquired the workflow automation company StackAI for $75 million, marking a significant step in the company's broader AI pivot. The acquisition aims to position Asana as an "AI-native workplace platform" and integrate StackAI's agent-building capabilities into Asana's existing work management system. The announcement was made Thursday afternoon to coincide with Asana's earnings and investor call.StackAI's Workflow Automation CapabilitiesStackAI, built as an AI workflow-automation system, designs agents to operate within existing business systems, pulling in data from platforms like Salesforce, Slack, and Gsuite. The company, founded by Tony Rosinol and Bernard Aceituno, will join Asana as part of the acquisition. StackAI has faced competition from automation tools like Zapier as well as AI labs like OpenAI and Anthropic in the rapidly evolving AI automation space.Financial Terms and Funding BackgroundThe acquisition comes as StackAI had raised just under $20 million, according to PitchBook data, with most of it coming in a recent $16 million Series A round. That round included funding from Gradient, Epakon Capital, Lobby VC, LifeX Ventures, and Vercel CEO Guillermo Rauch. While the $75 million acquisition price represents a significant premium over StackAI's funding, it reflects Asana's commitment to accelerating its AI capabilities.Asana's AI-Native TransformationWhile users are most familiar with Asana's work management system, the company has been releasing AI-oriented products in recent years, including the AI Studio agent builder and AI Teammates series of pre-built automations. Asana believes its deep integration into existing corporate workflows provides a key advantage, allowing it to distill context and training data that would otherwise be unavailable. This acquisition specifically aims to "agentify the most complex business processes end-to-end," according to CEO Dan Rogers.Future of Human-Agent Work in EnterpriseAsana has struggled on public markets during the AI era, losing more than half its market cap value since the introduction of ChatGPT. However, revenue has continued to grow steadily, and the new leadership is confident that human-agent products will enable a rebound. With this acquisition, Asana aims to accelerate its roadmap into "the next phase of human-agent work," potentially differentiating itself from both traditional work management platforms and standalone AI automation tools in the competitive enterprise software landscape.

The Lead Anthropic has released Opus 4.8, the newest version of its most advanced publicly available model, with a new 'dynamic workflow' tool. The model is available everywhere at standard pricing. The Event Details Opus 4.8 comes just 41 days after Opus 4.7 was released, a much faster upgrade cycle than normal for Anthropic. The new model features best-in-class benchmark results and improved handling of bad or uncertain data. Anthropic's early testers found that Opus 4.8 is "more likely to flag uncertainties about its work and less likely to make unsupported claims." The Data Analysis Opus 4.8 is available at standard pricing. The model comes with a new 'dynamic workflow' tool, available in research preview. Anthropic's most advanced Mythos model is still in development, with a tentative preview last month. The Impact Analysis The fast turnaround for Opus 4.8 may be in response to the chilly reception of Opus 4.7 and increasing pressure from competitors like OpenAI's Codex and Google's Gemini Flash model. The new model's ability to handle uncertain data and flag issues with inputs and outputs could give it an edge in the market. The Prediction Anthropic hinted that the Mythos preview period might soon end, once necessary safeguards are complete. The company expects to bring Mythos-class models to all its customers in the coming weeks. With Opus 4.8 and the dynamic workflow tool, Anthropic is positioning itself to compete with other major players in the AI market.

The Launch of Sesame's Conversational AI On Thursday, the AI startup Sesame, co-founded by Oculus' founders and others from the VR company that sold to Meta, released a public preview of the conversational AI agents it's been developing for over a year. With its new iOS app, Sesame is rethinking the traditional AI chatbot experience popularized by apps like ChatGPT, creating one where conversation flows, even if the AI needs time to think. Reimagining AI Conversation Flow As the company explains in its launch announcement, "There's an inherent tension between replying quickly and taking the time to compose thoughtful responses. A slower response is usually more correct, but it can also feel unnatural if it takes too long." To address this challenge, Sesame claims to have built fast search and retrieval systems, so the AI can have up-to-date information, as well as technology that allows it to run multiple parallel searches while speaking, weaving those results into its responses as it talks. That means the AI will talk more like a human, even pivoting mid-sentence if need be, as it taps into newer information — as a human might when remembering another key fact or point they want to add. User Growth and Development Milestones The app offers four distinct AI agents called Maya, Miles, Simone, and Charlie, each of which have their own distinct voice, personality, point of view, and memory. Maya and Miles were previously available in Sesame's Research Preview of its technology, where they were soon accessed by over one million people within the first few weeks, said Sesame investor Sequoia at the time. (The company had then just raised its $250 million Series B from Sequoia and others and was opening up a beta.) During the beta, Sesame learned from user feedback and rolled out features such as search cards with image results for visualizing concepts, notes for capturing takeaways, a texting mode for those times when speaking aloud is not an option, and support for deep dives where you can get more in-depth results. There's also a new incognito mode for private conversations, which allows the agents access to prior context but saves nothing to memory. Transforming the AI Landscape The app, however, is only the first step toward Sesame's bigger plans for AI involving intelligent eyewear, which the team expects to launch in 2027. Before that, the agents will also learn to do more than just think with you, Sesame hints, suggesting they'll later be able to take action on your behalf — hence why they're called "agents" in the first place, instead of just chatbots. That is potentially even more interesting, as working with agentic tools or apps today requires being able to prompt for what you need and have a specific idea of what you want to happen, and sometimes, even how it should happen. A conversational agent that you could talk to naturally could help you take the next steps, without you having to perfect the command you're giving it. The Road to AI-Powered Eyewear The iOS app is out today in 39 countries, and the full experience is free for the time being. However, there still may be a short waitlist at sign-up. An Android preview is coming in the future, the company says.

The 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.

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.

Universal €1 Meal Initiative Expands Across French UniversitiesIn response to a survey showing that nearly half of France’s 3 million higher‑education students skip meals, the government announced this month that the previously means‑tested €1 meal will be available to every student.Government Extends €1 Meal to All Higher‑Education StudentsThe policy, previously limited to scholarship recipients, now covers all students at the 950 CNOUS‑run restaurants and cafeterias, including university sites such as Université Paris Dauphine and the Sorbonne’s Mabillon campus.Meal price: €1 for a three‑course balanced plate (starter, main, dessert).Optional extras: €0.55 per additional dish, coffee €0.60.Capacity: up to 2,400 students per sitting at Dauphine.Cost Implications: €120 million Funding and Pricing StructureThe state has earmarked €120 million for the programme in the next fiscal year, covering subsidies for the €1 price point while the regular tariff remains €3.30.Social and Health Impact on French Student PopulationOfficials argue the measure tackles food insecurity, public‑health concerns such as obesity, and promotes social cohesion by having all students share the same balanced meals.Student unions reported a rise in meal‑skipping from 45 % to 50 % before the policy.Positive feedback from students like Farid Rouba (chef) and Jérémy Reyes highlights satisfaction with quality and variety.Future Outlook: Sustainability and Potential AdjustmentsWhile the programme enjoys broad support, some students question the allocation of funds, suggesting resources could be redirected to cheaper accommodation. CNOUS plans to hire 200 extra staff and upgrade equipment to meet rising demand, but long‑term viability will depend on budgetary pressures and continued political backing.

Immediate Fallout: Children Killed as Eid Joy Turns to FearOn the day of Eid al-Fitr, Israeli military operations in the Gaza Strip led to the deaths of several children, according to local reports. The strikes, which coincided with the Muslim holiday, have transformed what should have been a time of celebration into a period of collective grief and heightened anxiety for families across the enclave.Details of the Recent Gaza StrikesThe attacks were part of a broader Israeli campaign aimed at targeting militant infrastructure. While the official Israeli statement emphasized the pursuit of security objectives, eyewitness accounts from Gaza describe residential areas being hit, resulting in civilian casualties, including minors.Available Data on Casualties and DamageCurrent public information confirms the loss of child lives but does not provide a comprehensive casualty count for the day's operations. Health officials in Gaza have called for independent verification of the figures, highlighting the difficulty of obtaining accurate data amid ongoing hostilities.Broader Implications for the Gaza Humanitarian SituationThe incident underscores the fragile humanitarian environment in Gaza, where civilian populations already face severe shortages of water, electricity, and medical supplies. The timing of the strikes during a major religious holiday amplifies the psychological trauma and may influence international diplomatic pressure on the parties involved.Potential Trajectory: International Response and Future Ceasefire ProspectsIn the wake of the child fatalities, calls for an immediate de‑escalation have intensified from United Nations bodies, regional actors, and human‑rights organizations. The incident could serve as a catalyst for renewed ceasefire negotiations, though the path forward remains uncertain given the entrenched positions on both sides.

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.

Rudi Voeller, Germany’s sporting director, told the national team at their pre‑World Cup camp in northern Bavaria that players should keep sport and politics "somewhat separate" during the upcoming 2026 tournament. While no gag order exists, Voeller warned against new political displays that could distract from on‑field performance. Voeller’s Call for Political Neutrality Ahead of World Cup 2026 Speaking on Wednesday, 28 May 2026, Voeller emphasized that the German side will not receive specialist media training unlike the preparation before Qatar 2022. He clarified that any political expression should have occurred in the lead‑up to the tournament, not during the competition itself. Squad Composition and Historical Context: Numbers Behind the Debate 66‑year‑old Voeller draws on his experience as a former World Cup‑winning striker (1990). Germany will travel with a 26‑man squad to the United States, Canada and Mexico. In Qatar 2022, German players covered their mouths in a pre‑match photo to protest FIFA’s ban on "OneLove" armbands, a controversy that many believe affected their performance. Veteran goalkeeper Manuel Neuer is expected to miss the final friendly against Finland but will be available for the World Cup. Potential Ripple Effects on FIFA’s Political Policy and Team Dynamics The directive could influence how other national associations approach political expression, especially as FIFA continues to tighten rules on symbols and statements. By keeping the issue internal, Germany may avoid media scrutiny that previously amplified the Qatar incident, allowing the coaching staff to focus on tactical preparation. What to Expect from Germany and FIFA as the Tournament Approaches Analysts anticipate a disciplined German side that prioritises attractive football over activism, aligning with Voeller’s view that sport offers a distraction from everyday worries. Should any player break the informal guideline, FIFA may intervene, potentially leading to sanctions similar to those threatened in 2022. Germany’s final pre‑tournament friendly against Finland in Mainz will serve as a litmus test for squad cohesion under the new non‑political stance, while coach Julian Nagelsmann prepares to integrate Neuer once he regains fitness.