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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 Munition Shortage The United States has enough munitions for any plausible scenario in the Iran war, but rebuilding its depleted inventories will “take years”, according to a new report by the Center for Strategic and International Studies (CSIS). Replenishment Timeline Restoring pre-war stockpiles of four critical munitions heavily used by US forces during nearly 40 days of joint fighting with Israel against Iran would take at least two years – and in some cases more than three – the Washington-based think tank said on Wednesday. Land Attack Missile (TLAM) Terminal High Altitude Area Defences (THAAD) interceptors Patriot missiles SM-3 and SM-6 ship-based surface-to-air missiles The Data Analysis The report noted that while US officials publicly project confidence in weapons stockpiles, analysts have said that dwindling munition supplies may be shaping Washington’s calculations over whether to resume the war on Iran. The Impact Analysis “Campaigns against Iran and its proxies – and, for Patriot interceptors, aid to Ukraine – have made the problem more acute,” said the CSIS report. “Alongside replenishing its own stocks, the United States also has to fulfil orders from allies and partners.” The Prediction “Decisions on how to allocate new production have already created bilateral friction, and this friction will continue for the next few years as demand outpaces supply,” the report warned. The main problem is not funding but production time, limited manufacturing capacity and long procurement lead times, with CSIS noting that past procurement levels were relatively low for many systems, slowing replacement efforts despite recent increases in defence spending.

The Diplomatic Breakthrough in the GulfThe United States and Iran have reached a preliminary memorandum of understanding (MOU) to extend the ceasefire between the two nations for 60 days and commence negotiations for a permanent resolution to the conflict, according to officials. This framework, first reported by Axios and confirmed by the White House, represents a significant shift after weeks of stalled diplomacy and recent military skirmishes.The Framework of the Preliminary MOUThe agreement outlines specific terms for de-escalation, most notably regarding the Strait of Hormuz. The deal stipulates that vessel traffic will be "unrestricted" in the strategic waterway, and the US has agreed to lift its naval blockade on Iranian ports. However, the framework is not yet final; it requires the approval of President Donald Trump before implementation.Duration: 60-day extension of the current ceasefire.Status: Pending final approval from President Trump.Key Terms: Unrestricted vessel traffic in the Strait of Hormuz and lifting the US naval blockade.Context: Follows sporadic attacks and threats of sanctions against Oman.Resolving the Strait of Hormuz StandoffThe resolution of the Hormuz crisis is a critical economic and strategic development. Iran has long claimed sovereignty over the strait, insisting it must be managed jointly with Oman. Conversely, the US has vehemently rejected any form of Iranian control, including tolling systems. The agreement to allow unrestricted traffic removes a major source of geopolitical tension that threatened to disrupt global energy supplies.Beyond the Waterway: The Nuclear and Regional Sticking PointsWhile the Hormuz issue appears resolved, other complex challenges remain. The MOU reportedly requires Iran to commit to not pursuing a nuclear weapon, though Tehran has reiterated this stance publicly. The core disagreement lies in the US demand to dismantle Iran's entire nuclear program versus Iran's insistence on its right to enrich uranium domestically under the NPT.Furthermore, the broader regional conflict involving Hezbollah and Israel in Lebanon complicates the peace process. Iran has insisted that any truce must include Lebanon, where Israel has intensified attacks and issued displacement orders. The US has previously stated that Lebanon was not part of the April truce, creating a potential fracture in the diplomatic path forward.The 60-Day Countdown: What Comes Next?The next 60 days will be a critical test for regional stability. If President Trump approves the MOU, it establishes a clear timeline for negotiations. However, the success of this extension depends on resolving the lingering issues of US sanctions, Iran's missile production, and the ongoing war in Lebanon. Failure to address these points could lead to the unraveling of the truce and renewed hostilities.

The LeadStrictlyVC is set to host its exclusive Los Angeles event on Thursday, June 18, 2026, at The Aerospace Corporation Campus in El Segundo. The intimate gathering will bring together leading investors and entrepreneurs for high-signal conversations about venture capital and frontier technologies, with a special focus on defense technology and physical AI.The Event DetailsThe StrictlyVC Los Angeles 2026 event offers an evening of direct access to ideas and leaders shaping where technology and capital are headed next. The event will feature several key speakers discussing critical topics in the tech investment landscape.Date: Thursday, June 18, 2026Location: The Aerospace Corporation Campus, El Segundo, Los AngelesFocus: Defense technology, physical AI, venture capital, and frontier technologiesThe Value PropositionFor executives, investors, and founders navigating an increasingly complex market, this event provides a rare opportunity to step inside conversations that rarely happen in public. Attendees will hear directly from the people driving change across defense, AI, and advanced industry sectors.Featured Speakers and TopicsThe event will begin with Ethan Thornton, founder of Mach Industries, presenting "Built for a New Era of Defense Technology." Thornton will discuss building hard tech companies at speed and why defense innovation is undergoing a structural shift as autonomy, manufacturing, and national security become increasingly interconnected.The conversation will then turn to "backing the next frontier of physical AI," featuring Delian Asparouhov of Founders Fund and Saif Khawaja of Shinkei Systems. They will explore how advances in AI, robotics, and automation are reshaping both software systems and the physical world, and what it takes to move breakthrough technologies from concept to real-world deployment at scale.Additional speakers and conversations will be announced in the weeks ahead as the StrictlyVC Los Angeles agenda continues to take shape.The Impact AnalysisThis event reflects a growing trend of technological acceleration in traditionally slow-moving industries. The focus on defense technology and physical AI indicates a significant shift in venture capital priorities toward tangible, real-world applications of artificial intelligence. As these technologies mature, they have the potential to reshape national security, manufacturing, and automation sectors, creating new opportunities and challenges for investors and entrepreneurs alike.The PredictionAs the evening unfolds, the real value of the event will emerge from the conversations that continue beyond the stage. In an environment defined by access, focus, and proximity to industry leaders, introductions are likely to turn into insights, and insights often turn into opportunities. This event is poised to become a catalyst for new partnerships, investments, and technological breakthroughs in the defense and physical AI sectors, potentially setting the stage for the next wave of innovation in these critical areas.

The Deadly Night at the Boarding SchoolA devastating fire has swept through a girls' boarding school in Kenya, resulting in the tragic loss of 16 students. The incident has sent shockwaves through the nation and raised urgent questions about safety standards in educational facilities.Emergency Response Under ScrutinyEmergency services responded to the scene, but the fire had already caused extensive damage. Authorities have launched an investigation to determine the cause of the blaze and whether proper safety protocols were followed. The school's administration is cooperating with investigators as they work to understand what led to this preventable tragedy.Systemic Safety Failures ExposedThis incident has cast a spotlight on safety conditions in Kenya's boarding schools, many of which operate with aging infrastructure and limited safety measures. Education officials face mounting pressure to review and enforce stricter safety standards across all educational institutions in the country.Nation in MourningThe local community and the wider nation are mourning the loss of these young lives. Vigils have been organized, and parents are demanding immediate action to ensure the safety of all students. This tragedy has ignited a national conversation about educational safety and the need for comprehensive reform.Toward Safer SchoolsIn the aftermath of this devastating incident, Kenya's government is expected to announce new safety measures for boarding schools nationwide. These may include improved fire detection systems, regular safety audits, and enhanced emergency response protocols to prevent such tragedies from occurring in the future.

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.

EU Imposes Record €200 Million Fine on Temu The European Commission announced a €200 million (≈£173 million) sanction against the Chinese shopping site Temu for repeatedly failing to block illegal and dangerous products from its marketplace. Regulatory Findings: Illegal and Dangerous Goods on Temu’s Platform A 19‑month investigation, including an unpublished mystery‑shopping exercise, uncovered a “high percentage” of unsafe baby toys, “very high percentage” of hazardous chargers, and unsafe clothing and jewellery. Consumer groups across Europe had already reported choking hazards, lead‑laden jewellery, and fire‑risk chargers on the site. Unsafe baby products with loose parts and long dummy chains Chargers capable of burns, electric shocks or fire Clothes containing banned chemicals Jewellery laced with lead The Commission also criticised Temu’s recommender systems and influencer‑driven promotions for amplifying the risk of illegal product dissemination. Financial Scale: Fine Relative to Temu’s Revenue and DSA Limits The €200 million penalty is the second and highest ever imposed under the EU’s Digital Services Act (DSA). For context: Temu’s parent, PDD Holdings, reported global revenue of $54 billion in 2024. The DSA allows fines up to 6 % of global turnover, meaning Temu could theoretically face a fine of up to €3.2 billion. The previous record was a €120 million fine on Elon Musk’s X platform. Implications for the EU E‑commerce Landscape and DSA Enforcement The sanction sends a clear signal that the EU will enforce the DSA rigorously, even against fast‑growing non‑European platforms. It underscores the need for robust risk‑assessment processes, transparent product‑listing controls, and cooperation with regulators. Failure to comply could trigger additional penalties, including investigations into addictive design and data‑access provisions. What’s Next: Appeals, Compliance Plans, and Future EU Scrutiny Temu has until 28 August 2026 to submit an action plan outlining remedial steps. The company has announced it is “reviewing the decision carefully” and may appeal the fine. The Commission’s ongoing probe could lead to further financial penalties if systemic shortcomings persist. Industry observers expect tighter oversight of other large marketplace operators, as the EU seeks to protect consumers from unsafe products and reinforce the DSA’s broader ambition to curb online harms.

The Champions Final in Budapest As the Champions League final approaches in Budapest, the tournament's format comes under scrutiny. While the host city provides an ideal setting for European football's premier club competition, the event highlights a concerning trend: the Champions League has become a closed shop dominated by clubs from just five nations. Coaching Excellence in the Final The final features two teams whose success is built on exceptional coaching. Luis Enrique has transformed PSG from a collection of individual stars into a cohesive unit, while Mikel Arteta has methodically rebuilt Arsenal into an organized force. Both coaches employ sophisticated tactical systems—ball-oriented zonal marking and defensive choreography that represents the cutting edge of modern football philosophy. Defensive Prowess and Tactical Contrasts Arsenal's remarkable defensive record in this Champions League campaign—conceding only six goals in 14 matches without a single loss—contrasts sharply with Bayern Munich's 20 goals conceded. This defensive solidity, achieved through organization rather than individual brilliance, has been key to Arsenal's resurgence. Meanwhile, PSG's evolution under Enrique demonstrates how tactical discipline can elevate even the most star-studded squads. Budapest: Symbol of Change Budapest serves as more than just a neutral venue for the final; it represents a symbolic shift in European politics and society. Recent events in Hungary have signaled a return to European solidarity and rules-based cooperation. The city's football heritage, including the legendary 7-1 victory over Bayern Munich in 1919, adds historical weight to its role in hosting this prestigious event. The European Football Monopoly Since Porto's triumph in 2004, the Champions League trophy has been monopolized by clubs from Spain, Italy, Germany, France, and England. This five-nation dominance persists despite the global nature of modern football and the existence of talented clubs across the continent. The financial disparity between these top leagues and others creates an insurmountable barrier for clubs from smaller nations. Historical Context and Hungarian Legacy Hungary possesses a rich football tradition that has often been overlooked. The nation reached two World Cup finals (1938 and 1954) and produced legendary coaches who influenced football globally. The Golden Team featuring Ferenc Puskás remains one of football's most celebrated sides, while Hungarian coaches like Béla Guttmann and Pál Csernai introduced tactical innovations that shaped the modern game. The Future of European Competition The Champions League's current structure threatens the diversity that makes football compelling. While financial realities make complete parity unrealistic, measures to increase competitiveness across European football are needed. The tournament should reflect the continent's rich footballing heritage rather than serving as an exclusive club for the wealthiest nations. As Hungary demonstrates, passion and tradition can coexist with modern football—provided the opportunity exists.