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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 Evolution Mandate: Arsenal's Post-Trophy StrategyDespite the immense pressure and excitement surrounding Arsenal's potential to secure a historic double against Paris Saint-Germain on Saturday, the club's ownership has signaled that success will not result in complacency. Josh Kroenke, speaking ahead of the final, emphasized that winning the Champions League would not alter the club's trajectory. He argued that in the high-stakes environment of modern football, standing still is equivalent to moving backward, and the club is committed to evolving to stay ahead of rivals.Financial Commitment: Beyond the £250m SummerThe Kroenke family has demonstrated a willingness to spend significantly to achieve their goals. Since Mikel Arteta's appointment, the club has invested almost £1bn in transfer fees. This summer alone saw a record-breaking outlay of more than £250m to secure the Premier League title after a 22-year drought. Kroenke noted that this spending was driven by the realization that teams around them are constantly improving, and Arsenal must match that intensity to remain competitive.Transfer History: Almost £1bn spent since Arteta's arrival.Summer 2026: Over £250m invested to win the Premier League.Ownership Transition: KSE took full control in 2018 after buying out Usmanov for £600m.The Arteta Factor: Securing the Managerial VisionA central pillar of Arsenal's future strategy is the retention of manager Mikel Arteta. With his contract expiring at the end of the next season, Kroenke explicitly stated that keeping Arteta is an “utmost priority.” He credited Arteta with “reinventing” the club’s culture since replacing Unai Emery, describing the manager as an “Arsenal man through and through.” The owners believe that the cultural shift initiated under Arteta is the foundation upon which their continued success will be built.Stadium Renaissance and Fan ExperienceInvestment is not limited to the playing squad. The owners have announced plans to renovate the Emirates Stadium, a project led by chief executive Richard Garlick. Kroenke expressed a desire to bring back the character of the ground while elevating the matchday experience for supporters. Drawing on the standards set by their sports empire in the United States, the Kroenkes aim to modernize the facilities to ensure the Emirates remains a world-class venue.Future Outlook: Sustaining Dominance in a Competitive LeagueThe message from the board is clear: the journey to the top is a marathon, not a sprint. Kroenke reflected on a pivotal moment in 2019—a 4-1 defeat to Chelsea in the Europa League final in Baku—which prompted a strategic pivot. As Arsenal prepares for life as a two-time major trophy winner, the prediction is that they will enter the next transfer window as one of the most dangerous teams in Europe, with the financial muscle and managerial stability to sustain their challenge for years to come.

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.

Visa has disclosed an undisclosed investment in AI coding platform Replit, aiming to embed its payment suite directly into the developer environment so that both developers and AI agents can accept payments without leaving the platform. Strategic Investment and Joint Exploration of AI‑Powered Payments The two companies are testing how Visa Intelligent Commerce and the Trusted Agent Protocol can be woven into Replit’s workflow. More than 1,000 Visa employees already use Replit for prototyping, and the collaboration remains in an exploratory stage with no formal product announcements. Valuation Surge and Funding Milestones Highlight Replit’s Growth September 2025: Replit reached a $3 billion valuation. March 2026: Raised $400 million in a Series D led by Georgian Partners, pushing valuation to $9 billion. Enterprise self‑serve contracts now allow deals up to $200,000 without sales interaction. Customer churn is described as "very, very low" with net retention hitting 300 % in some cases. Implications for the Emerging Agentic Payments Ecosystem The move underscores a broader race to build infrastructure for "agentic payments," where AI agents transact on behalf of users. Competitors such as Robinhood (agent‑driven trading) and Google (shopping agents) are pursuing similar capabilities, suggesting the market will soon demand secure, verifiable AI‑mediated transactions. Future Trajectory: From Prototype to Mainstream Agentic Commerce If the exploratory projects mature, Replit could become a one‑stop shop for developers to build, host, and monetize AI agents, accelerating adoption of Visa’s Trusted Agent Protocol. Analysts anticipate that as enterprise adoption grows and churn remains low, the partnership may evolve into a commercial product suite within the next 12‑18 months, positioning Visa and Replit at the forefront of the next wave of AI‑driven commerce.

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

The LeadThe West Bank is grappling with a critical youth unemployment crisis that threatens economic stability and social cohesion in the region. With limited job opportunities and political uncertainties, young Palestinians face an increasingly challenging future.The Economic LandscapeYouth unemployment in the West Bank has reached alarming levels, with estimates suggesting that nearly 40% of young people aged 15-29 are without formal employment. This crisis is exacerbated by restricted movement, limited access to international markets, and an economy heavily dependent on foreign aid.The Social ImpactThe prolonged unemployment crisis has profound social consequences, including increased poverty rates, brain drain as educated youth seek opportunities abroad, and heightened social tensions. Young people report feelings of hopelessness and frustration about their future prospects.Policy ResponsesVarious international organizations and local authorities have attempted to address the crisis through vocational training programs, small business initiatives, and foreign investment projects. However, these efforts have been hampered by political instability and resource constraints.Future OutlookWithout significant intervention and political progress, the youth unemployment crisis in the West Bank is expected to worsen, potentially leading to increased social unrest and further economic decline. Addressing this challenge requires coordinated efforts to improve the business environment, create sustainable jobs, and resolve underlying political issues.

Executive Summary of the Emmy TriumphAn Al Jazeera journalist received an International Emmy for outstanding reporting and delivered an emotional acceptance speech that captured the attention of viewers worldwide. The speech highlighted personal dedication, the challenges of modern journalism, and the broader relevance of the award.Details of the Award and the SpeechThe International Emmy ceremony, held on May 28, 2026, recognized the journalist’s investigative series that exposed critical issues in the Middle East. In the live broadcast, the reporter thanked colleagues, family, and the audience, describing the honor as a testament to perseverance in a turbulent media landscape.Qualitative Impact on Al Jazeera’s Brand EquityThe accolade adds to Al Jazeera’s growing portfolio of international recognitions, reinforcing its reputation for high‑quality, independent reporting. Industry analysts note that such awards enhance credibility with audiences and can attract new partnerships and funding opportunities.Broader Implications for Global JournalismThe emotional moment resonated beyond the network, signaling a renewed appreciation for courageous reporting in an era of misinformation. Media outlets worldwide cited the speech as an example of the personal sacrifices journalists make to deliver truth.Future Outlook for Award‑Winning JournalismExperts anticipate that the visibility from the Emmy win will encourage further investment in investigative projects at Al Jazeera and inspire other newsrooms to prioritize in‑depth reporting. The ceremony’s global reach suggests continued audience appetite for substantive journalism, potentially shaping editorial strategies across the industry.

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.