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The Lead: This Week's Entertainment HighlightsThis week's entertainment landscape offers a diverse array of critically acclaimed shows and films, from hilarious comedies to chilling horror. Channel 4's "Make That Movie" stands out as one of the funniest shows of the year, while Netflix's "The Four Seasons" returns with a brilliant second season. Horror fans can explore the disturbing world of "Backrooms," while Marvel offers a stylish take with "Spider-Noir."TV Comedy Gold: Make That MovieChannel 4Summed up in a sentence Last One Laughing finalist delivers one of the funniest shows of the year, with this mockumentary about a director who makes awful films.What our reviewer said "So ostentatiously silly that it deserves to be paraded around the streets." Stuart HeritageRead the full reviewFurther reading "People are like: you're a crackpot": how Sam Campbell became comedy's oddball superstarNetflix Triumph: The Four Seasons ReturnsNetflixSummed up in a sentence Tina Fey triumphs again with the return of this comedy about a group of middle-aged friends who reunite during holidays throughout the year.What our reviewer said "Even more perspicacious, poignant and hilarious than the first." Chitra RamaswamyRead the full reviewMarvel's Stylish Take: Spider-NoirPrime VideoSummed up in a sentence In Marvel's witty homage to the hard-boiled films and fictions of the 40s – which can be watched in colour or black-and-white – Nicolas Cage plays Ben Reilly, who gave up being superhero "the Spider" five years ago.What our reviewer said "Everything is shot with style and confidence." Lucy ManganRead the full reviewFurther reading The life of PIs: the strange case of 2026's resurgence of hard-boiled detectivesHidden Gem: PoniesNow/Sky AtlanticSummed up in a sentence Emilia Clarke and Haley Lu Richardson have heaps of fun as two widows who become cold war spies in this espionage comedy-drama.What our reviewer said "It's a mashup of genres and tropes, but it is its own thing too – and an unexpected treat at that." Lucy ManganRead the full reviewHorror Innovation: BackroomsIn cinemas nowSummed up in a sentence A debut from 20-year-old director Kane Parsons that examines memory, reality and fear in an icily disturbing horror, in which Chiwetel Ejiofor accesses an infinite series of hidden rooms that all feel creepily askew.What our reviewer said "Backrooms progressively raises its game towards the big finish with jump scares, squirm scares and tiny shiver scares. There is real fascination in exploring this vast, invisible city state of fear." Peter BradshawRead the full reviewFurther reading Are you sitting uncomfortably? How Backrooms upended the horror movieMusic and Bromance: Power BalladIn cinemas nowSummed up in a sentence Nick Jonas and Paul Rudd star in a comedy of bromance and betrayal from Irish writer-director John Carney that brilliantly brings together Rudd's washed-up wedding singer and Jonas's insecure ex-boyband superstar.What our reviewer said "Power Ballad is about making it and dreaming big, about every busker never giving up on hopes of one day being mega. But as so often with Carney, it's about something else, usually left unacknowledged in movies about music or any sort of show business: the terrible binary of success and failure." Peter BradshawRead the full reviewUnexpected Pairing: TunerIn cinemas nowSummed up in a sentence Playing a piano tuner with super-sensitive hearing, Leo Woodall's relationship with Dustin Hoffman is a tender highlight in this safe-cracking thriller.What our reviewer said "What a pair they are; they are a real pleasure to watch in an easy, unforced drama that mixes romcom moments with a relaxed crime thriller. It's like the Safdie brothers in chill-out mode." Cath Clarke

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.

The Unveiling of 'Forever Bound' Liverpool FC has unveiled a new memorial on the 41st anniversary of the Heysel Stadium tragedy, honoring the 39 fans who lost their lives. The ceremony took place at Anfield, with representatives from Juventus, Liverpool's opponents in the 1985 European Cup final, in attendance. A Symbol of Unity and Remembrance The memorial, titled 'Forever Bound', features a Juventus scarf and a Liverpool scarf entwined in bronze. It is made of Italian marble and includes a dedication to the date and location of the tragedy, as well as the names of the 39 supporters who died. The design symbolizes the solidarity between the two clubs and the bond formed by grief. The Significance of the Memorial The idea for the memorial came from photographs of the aftermath of the disaster, which showed fan memorabilia strewn across the Heysel terraces. The memorial replaces the original plaque on the wall of the Sir Kenny Dalglish Stand, which was felt to be inadequate. Liverpool ambassador Ian Rush and CEO Billy Hogan were present at the unveiling ceremony. Reaction to the Memorial Rush, who played in the 1985 European Cup final and later joined Juventus, said: "Today is a deeply moving moment. It's hard to believe over 40 years have passed since Heysel but the memory of that day never fades. This new memorial means a great deal to all of us. The thought and respect that has gone into Forever Bound is something I'm incredibly proud of and I hope it brings comfort to those still affected by this tragedy." A Lasting Tribute Hogan said: "This memorial is a symbol of shared remembrance, of unity and the bond formed between Liverpool and Juventus. We are honoured to welcome our friends from Juventus to Anfield today and we stand together in solidarity and memory of the 39 supporters who tragically lost their lives at Heysel. This is a moment for all of us to pause and reflect and to commit once again to ensuring that their memory lives on."

The Lead XCENA, a four-year-old chip startup with offices in South Korea and the U.S., has raised $135 million in a Series B round at a valuation of $570 million. The company aims to solve the structural bottleneck in AI infrastructure by designing a chip that places compute capabilities closer to DRAM. Revolutionizing AI Infrastructure with Memory-Centric Architecture Every time you ask ChatGPT a question, your request triggers a data relay race. Information leaves memory, passes through a CPU for preprocessing, travels to a GPU for heavy computation, and then makes its way back — and that entire journey repeats for every single word the AI generates. XCENA's chip, the MX1, connects to the CPU through CXL (Compute Express Link), processing data before it ever needs to leave the memory module. The Data Analysis XCENA's successful funding round reflects investor enthusiasm around the company's potential to significantly reduce AI infrastructure costs. The startup has designed a chip that brings compute capabilities much closer to DRAM, allowing routine data operations to be handled near memory, without the costly round trips between CPUs, GPUs, and memory. This approach could lead to substantial savings for hyperscalers spending tens of billions a year on AI infrastructure. The Impact Analysis The recent rise in memory prices and related stocks points to a broader shift in AI infrastructure toward memory-centric architectures. XCENA's thesis is that "inference isn't just a compute problem; it's increasingly a memory scaling problem." The company's chip aims to handle tasks directly within the memory module itself, reducing the need for multiple servers and cutting costs. The Prediction With mass production chips scheduled to roll off Samsung's foundry lines by the end of 2026, XCENA expects to generate revenue starting in 2027. The company's ideal customers are hyperscalers, and it is in early-stage conversations with several global memory vendors. XCENA's innovative approach and vertical integration could give it a competitive edge in the market.

Havertz Relives 2021 Triumph as Arsenal Gears Up for Budapest Final Kai Havertz says the memory of scoring the winning goal in the 2021 Champions League final still feels like yesterday, and he hopes to recreate that magic as Arsenal face Paris Saint-Germain in Budapest on Saturday. From Chelsea Heroics to Arsenal’s Premier League Victory After helping Chelsea pull off a surprise 1‑0 win over Manchester City in Porto, Havertz joined Arsenal for a reported £65m fee in 2024. The German striker has already contributed crucial goals in the Champions League knockout stages and was part of the squad that secured Arsenal’s first Premier League title since 2004. Financial Stakes and Transfer Figures Transfer fee to Arsenal: £65m Club’s summer signing Viktor Gyökeres: £64m Arsenal’s Premier League title prize money boost (estimated): £150m Havertz missed five months with a knee injury, undergoing two surgeries. How Havertz’s Experience Shapes Arsenal’s European Ambitions The striker’s under‑dog narrative mirrors Arsenal’s own season, turning a late‑year slump into a title‑winning campaign. His familiarity with high‑pressure finals is expected to lift the squad’s confidence, especially after a recent Carabao Cup loss that sparked a turning point. Outlook for the Budapest Showpiece Analysts suggest Arsenal’s blend of youthful energy and Havertz’s big‑match pedigree could neutralise PSG’s firepower. While Paris Saint-Germain remain favourites, Havertz believes we are going to beat them, hinting at a tightly contested final.

The Lead E Jean Carroll, a renowned journalist and author, has come forward with her story of alleged sexual abuse and defamation against former US President Donald Trump in a new documentary titled 'Ask E Jean'. Carroll's Journey to the Courtroom Carroll, 82, alleges that Trump sexually abused her in a dressing room at Bergdorf Goodman in the mid-1990s. She initially confided in trusted friends but buried the memory deep down. However, when Trump branded her a liar and 'whack job', she decided to take him to court. In 2023, a jury found Trump liable for sexual abuse and defamation, awarding Carroll $5m. In 2024, a second jury awarded Carroll $83.3m for defamation regarding Trump's continued social media attacks. The Documentary: 'Ask E Jean' The documentary, directed by Ivy Meeropol, explores Carroll's life as a journalist, author, and advice columnist. It also delves into her experiences as a woman of strong character and deep resilience who refused to be cast in the role of victim or bit-part player in the Trump cinematic universe. The Impact Analysis Carroll's story has significant implications for the #MeToo movement and the conversation around sexual abuse and defamation. Her courage in coming forward has inspired many women to share their own stories of abuse. The Prediction As the documentary gains attention, it is likely to spark further conversation and debate about the issues of sexual abuse, defamation, and the role of women in society. Carroll's story serves as a testament to the power of resilience and determination in the face of adversity.

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 Strategic Shift in iOS 27Just ahead of Apple’s Worldwide Developers Conference (WWDC) in June, leaked renders reveal a significant overhaul of the iPhone's interface, driven by a new generation of AI capabilities. The most visible change is the integration of Apple’s AI upgrade directly into the user experience, moving beyond simple voice commands to a comprehensive, card-style interface.The Dynamic Island as the AI Command CenterThe iconic black pill-shaped area at the top of the screen, known as the Dynamic Island, is set to become the central hub for AI interactions. While users can still trigger Siri via a button press, the primary mode of interaction will shift to the Dynamic Island. This allows for quick voice queries and searches, mimicking current usage patterns while offering a richer visual output.Furthermore, Apple is capitalizing on muscle memory by integrating AI-powered search into the swipe-down gesture. This feature, powered by a rebuilt AI model using Google's Gemini technology, allows users to search, launch apps, send messages, and manage calendar events directly from the search card.Scale as Apple's Competitive AdvantageApple’s primary weapon in this AI race is its sheer scale. With a total install base of 2.5 billion devices, Apple has an unmatched runway to introduce AI to users who have not yet adopted standalone tools like ChatGPT. While ChatGPT boasts 900 million weekly active users, Apple’s ecosystem offers a frictionless entry point for millions of new users.A Hybrid Approach to AI DevelopmentApple’s strategy mirrors its successful partnership with Google for search: leveraging external technology to meet immediate user demand while simultaneously developing proprietary solutions. By utilizing Google's Gemini under the hood for cloud-based intelligence and investing in local AI models for on-device processing, Apple aims to maintain its privacy-first brand without the prohibitive costs of building a massive AI infrastructure from scratch.The Standalone Chatbot ChallengerIn addition to system-wide integration, Apple is developing a dedicated Siri app designed to compete directly with market leaders like ChatGPT and Claude. This standalone application will feature past chat history, document uploads, and photo analysis, providing a robust alternative for users seeking advanced AI assistance.

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.