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The Gritty Evolution of British Skateboarding A new photographic collection from The Guardian documents the raw and authentic evolution of UK skateboarding during the 1980s and 1990s. Unlike the polished American skate scene that dominated media at the time, British skate culture developed its own distinct identity characterized by rougher conditions, DIY ethics, and a unique social commentary through the lens of camera lenses. Documenting the Underground Movement The photography collection showcases how British skateboarders adapted to their urban environment, transforming mundane architectural elements into creative skate spots. With fewer dedicated skate parks compared to the US, UK skaters developed innovative techniques to navigate stairs, handrails, and other urban obstacles, creating a style that was both technically impressive and contextually unique to British surroundings. A Visual Contrast with American Skate Culture While American skateboarding of the era often presented a more commercialized and aspirational image, the UK scene captured in these photographs reveals a more authentic, working-class aesthetic. The images depict skaters in everyday locations, often in less-than-ideal conditions, highlighting the movement's roots in counter-culture and rebellion rather than corporate sponsorship. The Social Fabric of Skate Communities Beyond the technical aspects of skateboarding, the photographs reveal the tight-knit communities that formed around the sport in British towns and cities. These images capture not just the act of skateboarding itself, but the social dynamics, fashion, and music that surrounded the scene, providing a comprehensive cultural snapshot of a generation finding its identity through alternative sports. Legacy and Influence on Modern Skateboarding The influence of this gritty UK skate aesthetic can still be seen in contemporary skate culture, particularly in the emphasis on street skating and creative use of urban environments. As skateboarding continues to evolve, these historical photographs serve as an important reminder of the sport's authentic roots and the unique cultural contributions of the UK scene during its formative decades.

The AI Prediction Timeline Anthropic co-founder Jack Clark has made a series of predictions about the rapid advancement of artificial intelligence. In a lecture at Oxford University, Clark stated that an AI system will work with humans to make a Nobel prize-winning discovery within 12 months. He also predicted that tradespeople will be helped by bipedal robots in two years, and companies run solely by AIs will be generating millions of dollars in revenue within 18 months. The Future of AI Development Clark described a “vertiginous sense of progress” in AI technology and warned that there remained plausible scenarios in which the technology had “a non-zero chance of killing everyone on the planet”. He emphasized the importance of slowing down the development of AI to give humanity more time to deal with its implications, but acknowledged that this was unlikely to happen due to commercial and geopolitical rivalries. The Risks and Challenges of AI Critics of frontier AI companies like Anthropic, OpenAI, and Google fear over-reliance on their few AI models could create a “single point of failure” in global systems. Prof Edward Harcourt, director of the Institute for Ethics in AI, warned that the rise of AIs that do more and more things for humans risks creating “cognitive atrophy” that could weaken humans’ decision-making and powers of judgment. The Call for Responsible AI Development Clark and Harcourt advocate for responsible AI development and alternative models that prioritize human involvement. Clark wants to encourage humanity to prepare for a technology that will “soon be more capable than all of us collectively”, while Harcourt suggests “Socratic” AI models that ask humans to do more of the thinking.

Nvidia delivered another record quarter, beating Wall Street expectations and igniting fresh optimism for AI‑driven growth across Asian markets. Record Nvidia Quarter Fueled by AI Chip Demand The chip designer reported an 85% year‑on‑year revenue increase to $81.6bn for the three months ended April, marking its 15th straight quarter of topping forecasts. CEO Jensen Huang highlighted physical AI and robotics as the next growth frontier. Revenue Surge and Forecast Numbers Highlight Growth Revenue: $81.6bn (+85% YoY) Guidance: $91bn for the current quarter (vs. average market expectation of $86bn) Share reaction: down 1% in after‑hours trading Ripple Effect on Asian Equity Markets and Tech Giants The earnings beat lifted sentiment in Asia: the South Korean Kospi jumped 9%, while Taiwan’s index rose 3.3%, ending a four‑day decline. Shares of LG Electronics and Hyundai Mobis surged more than 20% after Huang’s remarks. Outlook: Sustainability of Nvidia’s Growth and Market Sentiment Analysts caution that maintaining such explosive growth will be challenging, especially as the company faces heightened expectations and competitive pressure. The market will watch whether Nvidia can translate its AI leadership into consistent earnings or if the current rally is a short‑term boost. Key Economic Calendar for the Day 9:00 BST – Eurozone flash PMI 9:30 BST – UK flash PMI 11:30 BST – UK Chancellor Rachel Reeves on cost‑of‑living measures 13:30 BST – US jobless claims 15:00 BST – Eurozone consumer confidence 16:00 BST – BoE Governor Andrew Bailey speech in Sheffield

Sinkhole Cracks Runway at LaGuardia, Halting OperationsOn Wednesday, 21 May 2026 a sudden sinkhole was discovered near runway 4/22 at LaGuardia Airport, prompting an immediate shutdown and triggering emergency repairs by construction and engineering crews.Delay Metrics and Weather ComplicationsAverage arrival delay after 3 pm EST: 1 hour 37 minutes.Forecast thunderstorms later in the day are expected to exacerbate traffic disruptions.Global context from a 2025 study: 3.5 million sq m of runway worldwide experiencing significant sinking and 14 000 sq m at high risk of structural damage.Implications for Airport Infrastructure and Regional TravelThe incident follows a recent Air Canada crash on the same runway and highlights the growing challenges of ground subsidence for major hubs built on reclaimed land.The Port Authority advises travelers to expect cancellations and to check airline updates directly.Potential ripple effects on New York’s domestic flight network and airline schedules.What Future Mitigation Measures May Look LikeExperts recommend intensified geotechnical monitoring, accelerated runway reinforcement projects, and revised FAA traffic‑management protocols to pre‑empt similar events and safeguard operational continuity.

Nvidia's Pivot to Agentic ComputingNvidia is aggressively expanding beyond its dominance in GPU technology to capture a massive new market opportunity. CEO Jensen Huang has positioned the company's new Vera CPU not just as a competitor to Intel and AMD, but as the foundational hardware for the next generation of AI agents. This move signals a strategic shift from focusing solely on the 'thinking' phase of AI (which uses GPUs) to the 'doing' phase, where CPUs will drive the execution of tasks.The Vera CPU: Redefining the AI WorkloadHuang introduced the Vera CPU in March as a product designed to process AI tokens at unprecedented speeds, distinguishing it from traditional CPUs built for running multiple app instances. Unlike classic cloud architecture, Vera is purpose-built for agentic AI, which refers to autonomous AI agents that perform specific tasks and use tools, similar to how humans use PCs today.Product Name: Vera CPUKey Feature: Purpose-built for token processing in agentic AIIntegration: Sold both standalone and bundled with the Rubin GPURecord Revenue and Early AdoptionHuang's confidence is backed by strong financial performance and early market validation. During the recent earnings call, Nvidia reported a record-breaking quarter with $81.6 billion in revenue and forecasted $91 billion for the upcoming period. Crucially, Huang stated that Nvidia has already secured $20 billion worth of standalone Vera CPU sales this year, indicating that major hyperscalers and system makers are already integrating the technology.Challenging the CPU GiantsThis expansion into the CPU market challenges the historical dominance of Intel and AMD. Competitors like Amazon Web Services (AWS) and Meta have been developing their own AI chips, with AWS CEO Andy Jassy recently asserting that his company can build AI chips as well as, or better than, Nvidia. Huang’s claim that the 'world is rebuilding computing for agentic AI' suggests that Nvidia aims to capture the central role in this transition, leveraging its existing ecosystem to dominate the new architecture.The Future of AI AgentsHuang predicts a future where the world will have billions of AI agents, each requiring its own set of tools and computing power. He envisions a landscape where these agents operate similarly to human users on PCs, necessitating a massive increase in CPU demand. By positioning Vera as the standard for this new era, Nvidia is betting that it can secure a central position in the infrastructure required to support the next wave of digital automation.

Incoming Chair Ian Cheshire Sets Aggressive Tone on Tech RegulationDuring a hearing of the Science, Innovation and Technology Select Committee, the incoming Ofcom chair, Ian Cheshire, declared his intention to take on the "tech bros" he believes have enjoyed a period of regulatory complacency. He emphasized personal concerns about social‑media exposure for under‑16s while warning that Ofcom must be realistic about its enforcement limits.Parliamentary Hearing Highlights Commitment to Tackle "Tech Bros"Cheshire answered a direct question on whether he would challenge the powerful platforms that dominate the online world with a decisive "Yes". He outlined three focal points:Clarify what Ofcom can realistically achieve in policing tech platforms.Encourage platforms themselves to demonstrate a genuine commitment to child safety.Maintain a clear separation between regulatory action and government‑driven content bans.He also addressed impartiality concerns surrounding GB News, indicating he would hold “serious conversations” about politicians presenting current‑affairs programmes on the channel.Regulatory Actions Targeting TikTok, YouTube, Meta and OthersIn parallel with Cheshire’s statements, Ofcom announced a series of enforcement steps:Commissioning independent audits of the safety systems used by TikTok, YouTube and Meta (Instagram/Facebook).Calling out personalised feeds for serving harmful content to under‑18s and demanding concrete changes.Noting that Snapchat, Meta and the gaming platform Roblox have agreed to adopt additional child‑protection measures.The regulator’s move comes as the UK government’s consultation on online child safety, which includes a possible Australia‑style ban on under‑16s accessing social media, closes next week.Potential Shift in the UK Online‑Safety LandscapeStakeholders see Cheshire’s stance as a possible reset for the Online Safety Act’s enforcement. Safety campaigners, such as Andy Burrows of the Molly Rose Foundation, welcomed the promise of “proactive, ambitious and robust enforcement”. If Ofcom follows through, platforms may face stricter audit requirements, higher fines, and tighter content‑moderation obligations, reshaping the business models of major tech firms operating in the UK.What Comes Next for Ofcom and the Tech Industry?Looking ahead, several developments are likely:Publication of the audit findings, potentially leading to targeted enforcement actions before the end of 2026.Further parliamentary scrutiny, especially from MPs like Helen Hayes, who are pushing for age‑based restrictions on addictive app features.Possible legislative amendments that could give Ofcom clearer powers to limit under‑16 access to social‑media platforms.How quickly the regulator can translate its rhetoric into enforceable measures will determine whether the UK becomes a benchmark for online‑safety governance or merely adds another layer of bureaucratic promise.

Nvidia reported first‑quarter fiscal 2027 revenue of $81.62 bn, surpassing Wall Street’s estimate of $78.86 bn. The surge was powered by a 92% YoY increase in its datacenter segment, reflecting the rapid expansion of AI‑driven compute infrastructure worldwide.Nvidia Smashes Q1 2026 Revenue Forecast Amid AI Infrastructure SurgeCEO Jensen Huang described the current phase as the "largest infrastructure expansion in human history," noting that "Agentic AI has arrived, doing productive work, generating real value, and scaling rapidly across companies and industries." The company highlighted its role in supplying chips, software, and platforms that power the global AI boom.Financial Numbers: $81.62 bn Revenue Beats $78.86 bn ForecastRevenue: $81.62 bn vs. consensus $78.86 bnEarnings per share: $1.87 vs. expected $1.76Datacenter segment growth: 92% YoY to a record $75.2 bnOverall market cap: $5.4 tnImplications for Global AI Build‑out and Chip Supply ChainsAnalysts view Nvidia’s performance as a barometer for the AI infrastructure wave, with U.S. tech firms projected to spend roughly $750 bn on AI hardware this year. While Nvidia dominates the high‑performance chip market, rivals such as Amazon and Google are beginning to develop competing products. Export restrictions to China remain a wildcard; the Trump administration approved H200 chip sales but imposes a 25% fee, and actual shipments are still on hold.Outlook: Supply Constraints and Market Expansion in China and Southeast AsiaHuang warned that the upcoming Vera Rubin platform will likely keep Nvidia "supply‑constrained" throughout its lifecycle, suggesting tighter margins for customers. At the same time, Nvidia is pursuing growth avenues: a new research hub in Singapore and ongoing diplomatic talks aimed at opening the Chinese market for its AI chips. The company’s guidance indicates no immediate revenue from Chinese datacenter sales, but the long‑term trajectory hinges on geopolitical clearance and the ability to scale production for next‑generation AI workloads.

The Pitch: Removing Guesswork from Short‑Video Virality Clouted, a startup emerging from a16z’s Speedrun accelerator, is building an end‑to‑end platform that automatically clips, distributes, and optimizes short‑form video content for brands. How Clouted Automates Clipping and Distribution The service taps a network of over 100,000 gig creators to edit 30‑90‑second clips, then applies AI to select the optimal social platform and target audience. The system runs a continuous testing loop, experimenting with formats and channels to learn what drives engagement. Seed Funding and Market Signals $7 million seed round led by Slow Ventures, with participation from Gold House Ventures, Weekend Fund, Peak XV’s Surge, and others. Founder Justin Banusing first applied the technology to grow the Manila‑based festival &Friends;, now attracting over 20,000 attendees. Competitors such as Overlap AI, CreatorIQ, and Hightouch (which recently reported $100 million ARR) illustrate a rapidly expanding enterprise marketing infrastructure market. Implications for Brands, Creators, and Marketing Infrastructure By turning the clipping process into a data‑driven loop, Clouted promises lower operational overhead for agencies and more predictable ROI for brands, while offering a steady workflow for gig creators. Future Outlook: Scaling the Automated Clip Engine If the AI continues to refine distribution heuristics, Clouted could become a de‑facto layer beneath larger marketing stacks, potentially attracting acquisition interest from established infrastructure firms.

Elon Musk's AI venture xAI recorded a $6.4 billion operating loss on $3.2 billion of revenue in 2025, according to SpaceX’s recent IPO filing. The same filing details an aggressive roadmap to scale the Grok model to “multiple trillions of parameters,” signaling that the current spending trajectory is far from over. Scale‑Up Plans for Grok Signal Massive Compute Investment The filing reveals that SpaceX intends to push Grok’s architecture to a size measured in multiple trillions of parameters, a step the company describes as a “step change in reasoning in depth and overall intelligence.” This ambition will require a substantial expansion of compute infrastructure. Financial Snapshot: Revenues, Losses, and Capital Expenditure Trends 2024: $1.56 billion loss on $2.62 billion revenue. 2025: $6.4 billion loss on $3.2 billion revenue. AI‑related revenue grew to $465 million, split into $365 million from X and Grok subscriptions and $88 million from data licensing. Advertising contributed an additional $116 million. Capital expenditures rose from $12.7 billion in 2025 to an annualized run rate of $30.8 billion in Q1 2026. Monthly active users for Grok AI features reached 117 million in March 2026, out of 550 million total MAUs across Grok and X. Strategic Implications for the AI Industry and Investor Sentiment The disclosed losses and soaring capex underscore the high‑cost nature of frontier AI development. While competitors such as OpenAI and Anthropic are eyeing public listings in 2026, SpaceX’s anticipated valuation of up to $1.75 trillion positions the combined entity as one of the largest tech IPOs ever. The vertical integration of compute—via the Colossus and Colossus II data centers delivering roughly 1 GW of power—aims to lower training costs, but the scale of spending may test investor tolerance. Outlook: Orbital Compute Satellites and Valuation Targets The filing’s “use of proceeds” section earmarks expansion of AI compute infrastructure, including a long‑term plan to deploy orbital AI compute satellites as early as 2028. Although the satellite strategy is unlikely to materialize in the near term, it signals Musk’s intent to control the physical AI stack, a factor that could reshape cost dynamics if realized.