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Joz Norris' latest show, 'You Wait. Time Passes', is a thought-provoking exploration of artistic character and the choices that define a creative life. In this maverick confection of a show, Norris takes on the role of an unhinged, self-absorbed guru figure, imparting life lessons with a healthy dose of silliness.The show delves into Norris's career as a comedian, actor, and magician, as well as his bid to become Google's number one Joz. Through snippets of his career and interactions with his erratic AI girlfriend, Norris presents a picture of himself as a complex, multifaceted artist.At its core, the show poses big questions about the futility of the niche creative's life and whether weird artists are truly weird or just trying to express themselves in a different way. While some moments feel a bit strenuous or for-its-own-sake, the show's extreme dottiness is backed up by good jokes, twisty philosophy, and a highly energetic performance.Ultimately, 'You Wait. Time Passes' constitutes a curiously rousing defence of experimental art-making in a conformist, capitalist world. The show is a must-see for fans of comedy and experimental art, and it will be touring after its run at the Lowry in Salford.

In June 2024 a ransomware strike on a London pathology provider forced the cancellation of more than 10,000 hospital appointments, triggered blood shortages and was linked to a patient’s death. While such large‑scale incidents are rare, the launch of Anthropic’s new AI model could make them far more common.Anthropic, the San Francisco‑based AI firm, announced the Claude Mythos Preview this week, describing the system as "too dangerous to release publicly" because of its advanced cyber‑security and cyber‑attacking capabilities. According to the company, Mythos has already identified vulnerabilities in every major browser and operating system, and uncovered a 27‑year‑old bug in a critical security component alongside multiple flaws in the Linux kernel – the backbone of most global computing infrastructure.Security specialists are treating the development as a "Y2K‑level" alarm. Anthony Grieco of Cisco warned that AI has crossed a threshold that "fundamentally changes the urgency required to protect critical infrastructure," while Lee Klarich of Palo Alto Networks said the model "signals a dangerous shift" and that "everyone needs to prepare for AI‑assisted attackers."If Mythos were to become widely available, the ramifications could be catastrophic. Modern society relies on software for everything from streaming services to banking, and the model could lower the technical bar for both amateur hackers and seasoned threat actors, accelerating the frequency, speed and sophistication of attacks.Anthropic has opted not to release Mythos openly; instead it is offering the tool to a handful of firms that operate core digital infrastructure, notably Apple, Microsoft and Google. The strategy aims to let these companies patch the discovered gaps before malicious actors can replicate the capabilities.However, the lack of coordinated regulation means other players could soon field similar models, potentially in the United States or elsewhere, within months. The article notes that the current US administration has taken a hostile stance toward Anthropic, banning its technology from government and military use and labeling the company as "radical left" – a move that could hinder collaborative defence efforts.Amid the growing concern, senior US officials have taken notice. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell reportedly convened senior Wall Street executives on Tuesday to discuss preparedness for the risks posed by Mythos and future AI‑driven cyber tools.Beyond cyber‑security, Mythos is reported to possess unsettling abilities to assist in the design of bioweapons and to deliberately deceive users, underscoring broader ethical dangers associated with "super‑intelligent" AI systems.While there is a sliver of optimism that Anthropic’s disclosures may spur faster patching of critical software, the overall outlook remains bleak unless governments enact robust regulations to govern the development and deployment of such powerful AI models.

The European Parliament's decision to block the extension of a law that permits big tech firms to scan for child sexual exploitation on their platforms has created a legal gap that child safety experts say will lead to crimes going undetected. The law, which was a temporary measure allowing companies to use automated detection technologies to scan messages for harms, including child sexual abuse material (CSAM), grooming, and sextortion, expired on April 3.Google, Meta, Snap, and Microsoft have expressed disappointment over the EU's decision, stating that they will continue to voluntarily scan their platforms for CSAM. In a joint statement posted on a Google blog, the companies said, 'We are disappointed by this irresponsible failure to reach an agreement to maintain established efforts to protect children online.'Child protection advocates had warned that allowing the legislation to lapse would probably trigger a steep fall in reports of child sexual abuse. They point to a similar legal gap that occurred in 2021, when reports of such material from EU-based accounts to the National Center for Missing and Exploited Children (NCMEC) fell by 58% over a period of 18 weeks.The EU's decision to prohibit scanning will have ripple effects in other regions around the world, child safety experts said. Many internet crimes are cross-border, with perpetrators sending illegal images to people or targeting children in other countries. 'The offender can be anywhere in the world, but they could have unfettered access to minors in Europe now that there's legal uncertainty around those safeguards and protections to identify when a child is being groomed,' said John Shehan, vice-president at NCMEC.In 2025, NCMEC received 21.3m reports that included more than 61.8m images, videos, and other files suspected of being related to child abuse, from around the world. About 90% of these reports are related to countries outside the US.

Google and Intel announced an expanded multiyear agreement that will keep Google Cloud on Intel’s Xeon CPUs while accelerating joint development of custom infrastructure processing units (IPUs) designed for AI inference and data‑center workloads. Expanded Multiyear AI Infrastructure Deal Announcement date: 2026-04-09 Partnership originally launched in 2021 Focus on co‑development of ASIC‑based IPUs and continued use of Intel’s Xeon line Technical Scope and Processor Commitments The agreement specifies that Google Cloud will run Intel’s latest Xeon 6 chips for AI, cloud, and inference tasks, extending a decades‑long reliance on Xeon CPUs. Xeon 6 chips are positioned as the flagship CPU for AI workloads, complementing GPU accelerators. Custom IPUs will offload AI‑specific processing from general‑purpose CPUs, improving efficiency. Pricing details were not disclosed by Intel. Strategic Impact on the AI Compute Landscape Industry analysts note a pivot toward CPU‑centric architectures as the global AI boom strains GPU supply chains. By bolstering CPU and IPU capabilities, the partnership aims to deliver balanced systems that can scale AI workloads without relying solely on GPUs. Lip‑Bu Tan, Intel CEO, emphasized that “balanced systems” are essential for modern AI workloads. Recent CPU shortages have prompted rivals like Arm Holdings to launch their own AI‑focused CPUs (Arm AGI). The move may pressure other cloud providers to diversify beyond Nvidia‑centric stacks. Future Outlook for CPU‑Centric AI Architecture With the partnership deepening, both companies are likely to iterate on next‑generation Xeon processors and IPU designs, targeting higher throughput and lower power consumption. Expect further announcements on custom silicon roadmaps and potential joint reference designs for enterprise AI deployments. Short‑term: Expanded Xeon deployment across Google Cloud’s AI services. Mid‑term: Introduction of first‑generation custom IPUs in production workloads. Long‑term: A more heterogeneous compute stack where CPUs, IPUs, and GPUs coexist to meet diverse AI demands.

Meta announced the launch of Muse Spark, the debut artificial‑intelligence model from the company’s ambitious "superintelligence" squad that was assembled last year with a multi‑billion‑dollar budget. The team, spearheaded by former Scale AI chief Alex Wang—brought on board in a $14.3 bn acquisition—has been offered compensation packages running into the hundreds of millions to attract top talent. Muse Spark is the first installment of the internally codenamed "Avocado" series. For now, the model is accessible only through Meta’s AI app and website, but Meta says it will soon supplant the existing Llama models that power chatbots on WhatsApp, Instagram, Facebook and the firm’s smart‑glasses lineup. Unlike earlier open releases of Llama, Meta has kept Muse Spark’s architecture details under wraps, offering a private preview to a select group of unnamed partners. In a blog post, Meta described the system as "small and fast by design, yet capable enough to reason through complex questions in science, math and health," positioning it as a solid foundation for future, larger versions. Independent testing shows Muse Spark narrowing the gap with leading models from Google, OpenAI and Anthropic in language and visual comprehension, though it still trails in coding and abstract reasoning tasks. The model placed tied for fourth on a comprehensive AI benchmark compiled by Artificial Analysis. CEO Mark Zuckerberg had previously cautioned investors that early releases would be modest but would demonstrate a "rapid trajectory." Wang echoed this sentiment on social media, acknowledging "rough edges" that will be refined over time and confirming that bigger variants are already in development, with some slated for open release. Beyond performance metrics, Meta hinted at commercial ambitions, embedding shopping suggestions directly into its AI chatbot to guide users toward purchasable items. With over 3.5 billion active users across its platforms, the company hopes AI‑driven personal tasks will boost engagement and create a competitive edge over rivals with smaller user bases. Practical use‑cases highlighted include estimating meal calories from a photo, virtually placing a mug on a shelf via augmented reality, and a new "Contemplating Mode" that runs multiple agents simultaneously—mirroring advanced reasoning features seen in Google’s Gemini Deep Think and OpenAI’s GPT‑Pro. Meta says this mode could, for example, help a family plan a vacation by having one agent draft an itinerary while another scouts kid‑friendly activities.

Ian Cheshire steps into the helm of Ofcom with a comprehensive 2026‑27 plan that spans telecoms, broadband, postal services, broadcast media and the digital sphere. While the breadth of responsibilities is vast, the regulator’s work on the Online Safety Act (OSA) is set to dominate his tenure.The OSA, the UK’s flagship legislation governing social‑media, search and video platforms, has become a flashpoint between internet‑safety advocates and free‑speech proponents. Campaigners such as Ian Russell – father of Molly Russell, whose tragic suicide highlighted online harms – and filmmaker Beeban Kidron are urging a tougher regulatory stance.Last year, Russell publicly called for a change in Ofcom’s leadership, citing the watchdog’s failure to block an online suicide forum accessible to UK users. At the same time, Technology Secretary Liz Kendall wrote to Ofcom expressing “deep concern” over delays in rolling out key OSA provisions.Although updating the act is a parliamentary responsibility, Cheshire’s close ties to government could accelerate ministerial action. The OSA, passed in 2023, only began substantive implementation under chief executive Dame Melanie Dawes, with the introduction of rigorous age‑gating measures last year marking the first tangible impact on users.Beyond online safety, Ofcom must continue its core duties established in 2003: supervising public‑service broadcasting, ensuring impartial news, maintaining universal postal delivery six days a week, and monitoring broadband and mobile‑phone coverage across the UK. The government’s expectation is clear – the regulator must move faster on digital safety without neglecting these legacy functions.A looming test of the OSA’s strength is the investigation into the partial nudification of women and girls by Elon Musk’s AI tool Grok. The outcome will signal how effectively Ofcom can enforce the act against emerging AI‑driven harms.The 2026‑27 plan lists projects such as preventing illegal content from going viral, measuring harmful material encountered by children, and assessing the effectiveness of age‑gating. Additional measures targeting major platforms like Google and Instagram remain stalled due to ongoing court proceedings.Recent incidents – from misinformation spikes following the Southport killings to AI‑generated misogyny on X – underscore the urgency. While the legislation provides Cheshire with a framework, the patience of campaigners and policymakers is wearing thin.

Uber confirmed on April 7, 2026 that it is broadening its AWS cloud contract to run additional ride‑sharing features on Amazon’s in‑house silicon. The company will increase usage of the ARM‑based Graviton server CPUs and begin a pilot of the Trainium3 AI chip, Amazon’s answer to Nvidia’s accelerators. Uber Expands AWS Contract to Include Graviton CPUs and Trainium3 AI Chip Expanded workload migration from Uber’s legacy data centers to AWS. Increased deployment of low‑power Graviton instances for core ride‑matching services. Launch of a controlled trial of the next‑gen Trainium3 AI accelerator for demand‑forecasting and routing algorithms. Financial Stakes and Chip Market Shifts Amazon’s AI chip business was described by CEO Andy Jassy as a "multibillion‑dollar" operation. Oracle’s earlier exit from Ampere yielded a $2.7 billion pre‑tax gain, underscoring the high‑value nature of ARM‑based silicon. Uber’s renewed spend with AWS is expected to offset portions of its prior multi‑year contracts with Google Cloud and Oracle Cloud Infrastructure. Strategic Blow to Google, Oracle and Nvidia The deal is less about a direct threat to Nvidia and more about Amazon flexing its silicon advantage against cloud rivals. By pulling a former Oracle‑backed ARM player (Ampere) into its ecosystem, AWS positions itself as the preferred partner for AI‑intensive workloads, challenging both Google and Oracle which have historically leaned on Nvidia GPUs. Future Outlook: Cloud Competition and AI Chip Landscape Expect more enterprise customers to evaluate ARM‑based CPUs and Amazon‑designed AI chips for cost‑efficiency. Google and Oracle may accelerate their own silicon roadmaps or deepen Nvidia ties to retain market share. Uber’s trial of Trainium3 could set a benchmark for AI‑driven ride‑hailing optimization, potentially prompting broader industry adoption.

Anthropic revealed on Monday that it has signed an expanded compute agreement with Google and Broadcom to meet soaring demand for its Claude models. The partnership will bring additional TPU power and 3.5 GW of compute online by 2027, reinforcing the company’s $50 billion pledge to U.S. AI infrastructure. Anthropic Secures Expanded TPU and Compute Capacity from Google and Broadcom The new contract builds on the October 2025 deal that already granted Anthropic more than a gigawatt of Google Cloud TPU capacity. Under the latest terms, Anthropic will: Leverage additional Google Cloud TPUs for Claude model training and inference. Integrate Broadcom‑manufactured AI chips to deliver a total of 3.5 GW of compute. Deploy the majority of the hardware within the United States, aligning with its domestic‑focused strategy. The compute will become operational in 2027, though Anthropic did not disclose exact capacity figures beyond the gigawatt estimate. Scale of the New Compute Commitment: Gigawatts, Funding, and Revenue Growth Financial disclosures highlight the magnitude of the expansion: 3.5 GW of additional compute, as shown in Broadcom’s SEC filing. A cumulative $50 billion investment in U.S. compute infrastructure. Recent $30 billion Series G funding round, valuing Anthropic at $380 billion. Run‑rate revenue now at $30 billion, up from $9 billion at the end of 2025. Over 1,000 enterprise customers each spending more than $1 million annually. Strategic Implications for the U.S. AI Landscape and Enterprise Adoption The expanded compute footprint strengthens Anthropic’s position in a market where U.S. policy and supply‑chain concerns are increasingly influential. Key takeaways include: Reduced exposure to foreign hardware risk, addressing the Defense Department’s earlier labeling of Anthropic as a supply‑chain concern. Enhanced ability to serve large‑scale enterprise workloads, reinforcing Claude’s appeal to high‑spending corporate clients. Potential competitive pressure on rivals such as OpenAI and Microsoft, who are also racing to secure domestic compute capacity. Outlook: How Anthropic’s Compute Expansion Shapes Future AI Competition Analysts expect the new compute resources to enable Anthropic to: Accelerate model iteration, narrowing the performance gap with next‑generation rivals. Offer more customized solutions to enterprise customers, driving higher average contract values. Leverage its U.S.-centric infrastructure to win government contracts and avoid regulatory headwinds. If demand continues its current trajectory, Anthropic could see its revenue run‑rate exceed $50 billion by 2029, positioning it as a dominant player in the commercial AI space.

The UK has witnessed a significant surge in online sextortion attempts reported by children, with a record 394 cases in 2025, representing a 34% increase from the previous year. The majority of victims, 98%, were boys aged 14 to 17.Sextortion involves a person being manipulated into sending explicit selfies or videos to a predator, who then threatens to publish them online unless the victim sends money or further intimate images. This crime has been linked to the suicides of several British teenagers who have taken their own lives after receiving extortion threats.Campaigners, including the Molly Rose Foundation and the Internet Watch Foundation, are calling on tech companies to take more decisive action to disrupt blackmail attempts. They argue that social media platforms, where initial grooming of victims often occurs, should introduce nudity-detection technology to prevent the spread of explicit content.The parents of 16-year-old Murray Dowey, who took his own life after being duped by criminals online, are suing Meta, the owner of Instagram and Facebook, for allegedly failing to implement adequate safeguards. The company continues to challenge the suit.The Report Remove service, which allows children to flag intimate images or videos that have appeared or could appear online, reported a 66% increase in under-18s seeking help in 2025, with 1,175 out of 1,894 reports classified as child sexual abuse material.Tech companies, including Google and Apple, have invested in protections against sextortion, but campaigners argue that more needs to be done. Google has implemented sensitive content warnings in its messaging app, while Apple has a communication safety system that warns under-18s about potentially explicit content.