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The Birth of a Classic The Mekons and Gang of Four emerged from the same fine art course at Leeds University. After being inspired by the Clash and the Sex Pistols, the Mekons formed and recorded their first single, 'Never Been in a Riot', on a two-track tape recorder in a living room. The Making of 'Where Were You?' For their song 'Where Were You?', Bob Last from the Fast Product label helped them record at Spaceward in Cambridge. The song came together quickly with Kevin Lycett strumming two chords, Tom playing a choppy counter-melody, and Jon on drums. Mark White wrote the lyrics, and Andy Corrigan sang them. The Impact of 'Where Were You?' 'Where Were You?' became a huge success, selling over 27,000 copies and receiving significant airplay from John Peel. The song gained even more popularity when David Bowie compared the Mekons to T. Rex on a Radio 1 programme. The Legacy of 'Where Were You?' The song has remained a classic, with the Mekons still playing it live almost 50 years later. The song's lyrics, influenced by Buzzcocks' Pete Shelley, deal with themes of loneliness and feminism. The Mekons' decision to include women in the band and their anti-macho approach to music set them apart from other rock bands at the time. The Song's Enduring Influence 'Where Were You?' continues to have an impact, with the song being used in an advert for Honda's Acura cars and generating a substantial amount of money for the band. The Mekons' story serves as a testament to the power of creativity and perseverance in the music industry.

The Struggle of Working-Class Artists The Tara Clerkin Trio, consisting of Tara Clerkin, Sunny Joe Paradisos, and Pat Benjamin, has been making waves in the underground music scene with their eclectic sound, which blends elements of minimalist jazz, avant-pop, and trip-hop. Despite their growing success, the band members, who are all working-class artists, share their struggles in the UK's music industry. The Band's Unique Sound Their music is characterized by happy accidents and incidental noises, which they incorporate into their tracks. The band's sound is shaped by their use of loop pedals, sampling, and a variety of instruments, some of which they don't play properly. This unique approach has charmed fans across the music spectrum, including jazz enthusiasts. The Challenges of Making Music The band members discuss the difficulties of making a living as working-class artists in the UK. They highlight the struggle to balance touring, working, and making music, often having to juggle multiple jobs to make ends meet. The situation is further complicated by the fact that touring three times a year doesn't pay enough to support their living expenses. The New Album: Somewhere Good Their second album, 'Somewhere Good', is their most pop-oriented record yet, featuring more structured songwriting and storytelling. The album was written and recorded in precarious circumstances, with the band members working and touring simultaneously. Despite the challenges, the album captures a sense of optimism and positivity, with songs that address themes of loss, grief, and gentrification. The Future of Independent Music The Tara Clerkin Trio's experience reflects the broader challenges faced by working-class artists in the UK. They chose to release their album on the in-house label of east London record shop World of Echo, rather than signing with a bigger label, to maintain creative control and avoid giving away their rights. As they continue to make music, they hope to inspire others to do the same, despite the difficulties.

The Lead Irish writer-director John Carney delivers a terrific comedy of bromance and betrayal in the world of music with 'Power Ballad', starring Nick Jonas as Danny Wilson, a preeningly insecure ex-boyband superstar trying to go solo, and Paul Rudd as Rick Power, a washed-up wedding singer. The Event Details The film revolves around the unlikely friendship between Danny and Rick, who bond over music and creativity. Rick plays Danny a catchy song he's been working on, which becomes a hit. The movie explores the themes of success and failure in the music industry, highlighting the struggles of those who don't make it big. The Impact Analysis 'Power Ballad' offers a fresh take on the music industry, focusing on the often-overlooked stories of those who don't achieve stardom. The film features a standout performance by Paul Rudd, who brings depth and nuance to his character. The movie's portrayal of the music industry is both humorous and poignant, making it a compelling watch. The Prediction With its talented cast and insightful direction, 'Power Ballad' is set to resonate with audiences. The film's release on May 28 in Australia and May 29 in the UK and US is expected to generate buzz in the entertainment industry. As a comedy about music, 'Power Ballad' has the potential to strike a chord with viewers and leave a lasting impression.

The AI-Driven Economic Surge Taiwan's economy is booming, with a growth rate that would be the envy of any country. The AI boom sweeping Taiwan has made it an exciting time to work in tech, particularly in the semiconductor industry, which produces about 90 percent of the most advanced chips used to power leading AI models. The Semiconductor Industry's Dominance Taiwan is a semiconductor powerhouse, with Taiwan Semiconductor Manufacturing Company (TSMC) accounting for more than 40 percent of the value of the island's stock market. Semiconductors alone account for more than 20 percent of Taiwan's GDP. The Uneven Distribution of Benefits Despite the impressive economic growth, concerns are rising about the uneven distribution of benefits. Many industries unrelated to tech do not seem to be feeling the benefits, with some individuals experiencing stagnant pay and rising living costs. The semiconductor industry employs only about 300,000 people in a workforce of 11 million. The Risk of a 'Dual Society' Economists warn that Taiwan's economic model has left it at risk of becoming a 'dual society' where tech sweeps up talent, funding, and resources at the expense of other industries. The wealth divide has grown over the decades, with Taiwan's Gini coefficient increasing from 0.308 in 1980 to 0.341 in 2024. The Future Outlook As Taiwan's economy continues to grow, the government faces challenges in addressing the uneven distribution of benefits and ensuring that the growth is inclusive and sustainable. The country's reliance on a single industry for growth marks a shift from the Asian Tiger era, when Taiwan's economy was driven by hundreds of thousands of small and medium-sized enterprises.

France Abandons the Controversial ‘Black Code’On 2026-05-29 the French government announced the termination of the ‘Black Code’, a framework that had drawn criticism for its impact on digital freedoms and platform operations.Implications for Digital Regulation in FranceThe repeal signals a shift in the nation’s approach to online content moderation, data handling, and platform accountability.Possible Policy Paths ForwardDeveloping a more transparent regulatory model.Engaging with industry stakeholders to craft balanced rules.Aligning French law with broader EU digital strategies.What to Watch in the Coming MonthsAnalysts expect debates in parliament, consultations with tech firms, and potential new legislation to emerge as France redefines its digital governance.

Why a Living AI Glossary Matters NowArtificial intelligence is reshaping every industry, but its rapid evolution has spawned a parallel explosion of terminology that can leave even seasoned technologists feeling insecure. TechCrunch’s new glossary aims to provide a single, regularly‑updated reference that translates the most common AI buzzwords into plain language.Key Definitions from AGI to RLHFThe article walks readers through a spectrum of concepts, including:Artificial General Intelligence (AGI) – AI that outperforms humans on most economically valuable tasks, as defined by OpenAI and Google DeepMind.AI Agent – An autonomous tool that can perform multi‑step tasks such as expense filing, ticket booking, or code maintenance.API Endpoints – “Buttons” that let software components interact, enabling agents to automate third‑party services.Chain‑of‑Thought Reasoning – A technique that breaks problems into intermediate steps to improve accuracy.Compute – The hardware (GPUs, CPUs, TPUs) that powers AI model training and inference.Deep Learning – Multi‑layered neural networks that learn features directly from data.Diffusion – The process behind many generative AI models that learns to reverse noise‑added data.Distillation – A teacher‑student method for creating smaller, faster models like GPT‑4 Turbo.Fine‑Tuning – Adding task‑specific data to a pre‑trained model to improve performance.GAN – Generative Adversarial Networks that pit a generator against a discriminator to produce realistic outputs.Hallucination – When models generate inaccurate or fabricated information.Inference – Running a trained model to make predictions, often accelerated by specialized hardware.LLM – Large Language Models that power assistants such as ChatGPT, Claude, Gemini, and Llama.Memory Cache (KV Caching) – An optimization that stores intermediate calculations to speed up inference.Open Source vs. Closed Source – The debate over publicly available model code (e.g., Meta’s Llama) versus proprietary systems (e.g., OpenAI’s GPT).Parallelization – Executing many calculations simultaneously, a cornerstone of modern AI hardware.RAMageddon – The current shortage of memory chips driven by AI data‑center demand.Recursive Self‑Improvement (RSI) – Models that can redesign themselves, a potential step toward singularity.Reinforcement Learning from Human Feedback (RLHF) – Training models with reward signals to improve helpfulness and safety.Tokens & Throughput – The basic units of text processing that determine cost and performance.Quantifying the AI Vocabulary ExplosionThe glossary covers more than 30 distinct terms, each accompanied by concise explanations and links to deeper resources. By cataloguing this breadth, the piece highlights how quickly the AI lexicon has expanded within just a few years of mainstream adoption.Implications for Developers, Investors, and the PublicUnderstanding this terminology is no longer optional. For developers, clear definitions accelerate product building and reduce miscommunication when integrating APIs or deploying agents. Investors gain a sharper lens for evaluating startup pitches that hinge on concepts like fine‑tuning or distillation. Meanwhile, the broader public can better assess claims about “AGI” or “hallucinations,” mitigating hype‑driven misinformation.Future of AI Terminology and Industry AdoptionTechCrunch positions the glossary as a “living document,” promising regular updates as new techniques (e.g., emerging diffusion variants or next‑gen RLHF methods) appear. As AI systems become more autonomous and specialized, the vocabulary will continue to evolve, making ongoing education essential for anyone interacting with the technology.

Federal prosecutors in Brazil hailed a court ruling on Friday that obliges multiple government bodies to protect the abandoned 1928 Fordlandia site in the Amazon, calling it a “landmark” for cultural preservation.Landmark Court Decision Mandates Fordlandia PreservationJudicial order requires the federal government, the state of Pará, the municipality of Aveiro, and the National Institute of Historical and Artistic Heritage (IPHAN) to collaborate on site protection.The ruling follows decades of advocacy by historians, activists and local residents.Historical Context and Financial Footprint of FordlandiaFordlandia was founded in 1928 when Henry Ford invested nearly $20 million to build a self‑contained rubber town in the Amazon. The venture failed due to disease‑riddled plantations, strict worker regimes and competition in the automotive market. By 1945 the complex was sold to the Brazilian government for a modest $244,200. Today, the infrastructure is in advanced decay, with the hospital having burned down in 2012.Socio‑Economic and Environmental ImplicationsPoverty in Pará remains high – 39.3 % in 2023.Residents report unreliable water and loss of basic services.Preservation could anchor a sustainable tourism industry, offering economic alternatives to local communities.Protecting the site also contributes to broader Amazon conservation goals by preventing further illegal looting and degradation.What Lies Ahead for the Amazon Heritage SiteProsecutors argue the decision gives locals a legal right to demand restoration. Expected next steps include:Joint planning by federal, state and municipal authorities with IPHAN to assess structural stability.Funding proposals for tourism‑focused redevelopment.Monitoring mechanisms to ensure compliance with preservation standards.If implemented, Fordlandia could become a living museum of early 20th‑century industrial ambition and a catalyst for regional economic revitalization.

The Rise of AI Psychosis in Corporate Decision MakingBox founder Aaron Levie has identified a troubling trend in corporate America: what he calls "AI psychosis," where executives and decision-makers become so enamored with artificial intelligence that they believe it can replace human jobs without understanding what those roles truly entail. This overenthusiasm for AI is leading to significant workforce reductions and a growing backlash from both employees and users.Workforce Reductions Fueled by AI AmbitionThe consequences of this AI psychosis are already becoming apparent in the tech industry. Productivity software company ClickUp recently cut 22% of its workforce, citing a shift toward AI agents. This move is part of a larger trend where tech layoffs in 2026 are already nearly matching the total number of layoffs seen throughout all of 2025. These cuts suggest that companies are prioritizing AI implementation over human talent, often without fully understanding the implications.User Backlash Against Forced AI IntegrationWhile companies push AI solutions, users are increasingly resisting. DuckDuckGo has seen a surge in installations from users who want Google to stop forcing AI into search results and simply provide traditional links. This user backlash highlights a disconnect between corporate AI strategies and actual consumer preferences, suggesting that not all AI implementations are welcome or beneficial.The Duality of AI AdoptionAs TechCrunch's Equity podcast hosts discuss, both the AI-pilled (those enthusiastically embracing AI) and the AI-skeptical (those questioning its implementation) may have valid points. The challenge lies in finding a balance where AI augments human capabilities rather than replacing them entirely, and where technology serves actual needs rather than being implemented for its own sake.Future of Work in an AI-Driven EconomyAs AI continues to evolve, companies must develop more nuanced approaches to workforce planning and technology implementation. The current trend of replacing human workers with AI agents may prove shortsighted if it leads to decreased product quality, poor user experience, and loss of institutional knowledge. The future likely lies in hybrid models where AI and humans collaborate, each bringing their unique strengths to the workplace.

The Disrupt 2026 Stage: Two Paths to Influence The call for speakers offers two distinct formats designed to maximize engagement and knowledge transfer: Breakout Sessions: A 30-minute talk (up to 4 speakers) featuring a 20-minute audience Q&A;, limited to 100 attendees for high-impact interaction. Roundtables: A 30-minute speaker-led discussion without slides or AV, designed for intimate dialogue among up to 40 participants. Scaling the Narrative: The Scale of Disrupt 2026 With over 10,000 startup and VC leaders expected at Moscone West from October 13–15, the event serves as a critical nexus for discussing the next wave of innovation. The focus areas—AI, scaling, fintech, infrastructure, and robotics—highlight the industry's pivot toward complex, high-growth sectors. Shaping the Future of Tech Discourse This call for speakers is not merely a recruitment drive; it is a mechanism for curating the industry's future narrative. By inviting founders, investors, and operators to present, TechCrunch ensures the stage reflects real-world challenges and actionable insights rather than theoretical concepts. The Future of Industry Influence As the deadline approaches, the selection process—combining editorial review with an Audience Choice vote—signals a shift toward democratized content creation. The most influential voices of 2026 will be those who can engage directly with the community and demonstrate high-impact expertise before the cutoff.