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British computer scientist Adam Back has vehemently denied claims that he is the elusive creator of Bitcoin, known as Satoshi Nakamoto. A recent report in the New York Times had suggested that Back was Nakamoto, but he quickly took to social media to refute the claims. In a thread on X, Back stated, 'I also don’t know who satoshi is, and I think it is good for bitcoin that this is the case, as it helps bitcoin be viewed [as] a new asset class, the mathematically scarce digital commodity.' This denial comes after a years-long effort to unmask Nakamoto, the mysterious author of the bitcoin white paper which laid the theoretical foundations for modern digital currencies. The speculation surrounding Nakamoto's identity has been ongoing for years, with previous attempts pointing to Nick Szabo, Hal Finney, and an 'unknown Australian genius' who was later revealed to be a fraud. The latest trail led to Back, a London-born computer scientist and entrepreneur, who was a member of an online anarchist cryptography community called the cypherpunks in the early 1990s. Journalist John Carreyrou claimed to have found similarities between Back and Nakamoto by analyzing decades of old internet postings and shared niche interests. However, Back attributed the similarities to 'a combination of coincidence and similar phrases from people with similar experience and interests.' Not everyone is convinced by Back's denial, with some speculating that he may still be Nakamoto. Stephen Murdoch, a professor of computer science at University College London, noted that while there are indications that it could be Back, 'there’s no smoking gun.' Meanwhile, Dr. Jacky Mallett, an assistant professor of computer science at Reykjavík University, suggested that Satoshi was 'almost certainly more than one person,' citing updates to the bitcoin code that suggest multiple contributors. Back is the owner of a bitcoin treasury firm that is merging with a publicly traded company. If he were indeed Nakamoto and the owner of 1.1m coins worth tens of billions of pounds, he would have to disclose this to the Securities and Exchange Commission, as it could materially affect the bitcoin market.

The Mythos Preview: A New Frontier in AI‑Powered Cyber DefenseOn Tuesday, April 7, 2026, Anthropic announced a limited rollout of Mythos, its latest frontier model, to a curated cohort of partner organizations. Branded as part of Project Glasswing, the initiative aims to harness Mythos for "defensive security work" and to harden critical software against emerging threats.Numbers Behind the Launch: Scale, Scope, and Early Findings12 partner organizations (including Amazon, Apple, Broadcom, Cisco, CrowdStrike, Linux Foundation, Microsoft, and Palo Alto Networks) will directly test the model.40 organizations in total will receive preview access.Mythos has already identified thousands of zero‑day vulnerabilities, many classified as critical and dating back one to two decades.Anthropic’s recent mishap exposed ~2,000 source‑code files and over 500,000 lines of code in its Claude Code 2.1.88 release.Strategic Implications: AI Meets Defensive CybersecurityThe deployment marks a significant pivot for AI labs: moving from general‑purpose assistants toward specialized, high‑stakes security tooling. By scanning both proprietary and open‑source codebases, Mythos could accelerate vulnerability remediation cycles that traditionally take months. The collaboration model—where partners share insights back to the broader tech ecosystem—promises a collective uplift in defensive capabilities.Regulatory and Market Outlook: Risks, Rewards, and the Road AheadAnthropic is already in "ongoing discussions" with U.S. federal officials, a dialogue complicated by an existing legal battle with the Pentagon over supply‑chain risk concerns. While the company emphasizes defensive use, the leaked internal memo warned that a weaponized version of Mythos could become a powerful tool for threat actors. This dual‑use tension is likely to attract heightened scrutiny from policymakers and may shape future AI‑security standards.Future Trajectory: From Limited Preview to Industry‑Wide AdoptionIf Mythos delivers on its early promise, Anthropic could expand access beyond the initial 40 organizations, positioning the model as a de‑facto security layer for software development pipelines. Success would also reinforce Anthropic’s claim of having the "most powerful" AI model to date, potentially spurring competitors to accelerate their own security‑focused AI research.

The September 2026 Launch Window Apple is reportedly on track to debut its first foldable iPhone in September 2026, aligning with the launch of the iPhone 18 Pro and Pro Max. According to Mark Gurman of Bloomberg, the device aims to hit the market simultaneously with or shortly after the standard non-foldable models. Despite recent concerns from Nikkei Asia regarding potential delays due to engineering hurdles, the latest report suggests the timeline remains aggressive. Launch Window: Targeting September 2026 alongside iPhone 18 Pro series. Supply Constraints: Initial production volumes may be limited due to the device's complexity. Status: While six months out, the timing is not yet finalized. Engineering Breakthroughs: Durability and Display A critical factor driving this launch is Apple's reported resolution of key technical challenges that have plagued competitors. The new foldable device is said to feature significant improvements in screen quality and overall durability. Furthermore, Apple has reportedly addressed the "crease" issue, making it less visible when the device is unfolded, a common pain point for users of current foldable models. Market Implications: Entering the Foldable Wars The introduction of a foldable iPhone marks a pivotal shift in Apple's hardware strategy. For years, the company has observed the foldable market dominated by Samsung and emerging Chinese manufacturers. By entering this space, Apple aims to leverage its ecosystem lock-in and manufacturing scale to redefine the premium foldable experience. Future Outlook: Supply Chain and Adoption Analysts predict that while the September launch is the goal, supply chain bottlenecks could restrict availability. However, if Apple can deliver on its promises of a durable, high-quality foldable device, it could accelerate the mainstream adoption of foldable technology, forcing competitors to innovate further.

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.

A controversy has erupted in Toronto's affluent Rosedale neighbourhood over a proposed AI-powered surveillance system aimed at curbing the area's high property crime rates. The plan, championed by resident Craig Campbell, involves installing cameras that scan licence plates to identify suspicious vehicles.The system, developed by US-based company Flock, uses AI to learn which cars belong to residents and which are potentially suspicious. The technology has sparked concerns about privacy, bias, and surveillance. While some residents see it as a necessary measure to enhance safety, others are worried about the implications of such a system.Rosedale has experienced a significant rise in home invasions, with robbers targeting the neighbourhood at a rate more than double the city average. Crime rates in Toronto as a whole have been declining, but residents are seeking solutions to address their concerns. Campbell, who runs a security company and holds the Canadian licensing rights for Flock, proposed the plan as a way to create a 'virtual gated community.'The system would involve an initial group of 100 residents paying a C$200 monthly subscription to access the technology. The cameras collect licence plate data, which is retained for 30 days, and police can only access the data with legal authorization. While the system does not use facial recognition, concerns about AI bias and profiling have been raised.Flock claims its network of over 90,000 cameras has helped reduce crime by up to 70% in some communities. However, the company has faced scrutiny in the US for its collaboration with law enforcement and allegations of mass surveillance. In Canada, privacy laws are stricter, and regulators are likely to view the network as a data collection system subject to the Personal Information Protection and Electronic Documents Act (Pipeda).The Toronto police have acknowledged residents' concerns about safety but have not commented on the legality of the proposed system. The city's privacy commissioner has emphasized the need for companies to inform individuals and obtain consent before collecting and using personal information.

The recent Winter Olympics in Milano Cortina showcased the thrilling use of high-speed camera drones, bringing viewers up close to the action. However, this technology has a darker side, as it is also being used in the US military's drone strikes in Iran. The seamless transition from drone-supplied footage of Olympic excellence to drone-supplied footage of war crimes has felt genuinely jarring. The connection between drone racing and drone strikes is not coincidental. Professional drone racing emerged around a decade ago, with the Drone Racing League (DRL) being a prominent competition. The US air force was a longtime sponsor of the DRL, using the competition as a scouting ground to recruit new pilots. The league's emphasis on high-speed, first-person view drones has contributed to the development of technology now used in military contexts. The current conflict in Iran highlights a disturbing trend: the militarization of sports culture. The Trump administration's approach to the war, including the use of Hollywood and gaming imagery in its videos, reflects a broader cultural shift. The US military's actions are being presented as a form of entertainment, with two-minute video montages of "stuff blowing up" being used to brief the president on the war's progress. This phenomenon is not limited to the administration; the language of sports is increasingly being used in discussions of war. Politicians like Marco Rubio and Pete Hegseth are using sports-like terminology to describe military actions, reflecting a degeneration of language in global diplomacy. The Trumpian trash talk has degraded the discourse, with the president's tweets about the war being characterized by their usual boorishness. The article concludes that the culture of sports is central to the chaos unfolding across the Middle East. The blurring of lines between war and sport reflects a deeper societal issue, where the values of competition and entertainment are taking precedence over human life and dignity. As the world teeters on the edge of a military and economic catastrophe, the need for a more nuanced understanding of the relationship between sports, technology, and warfare has never been more pressing.

Tens of thousands of people have been hired by Scale AI – a firm 49% owned by Meta – to train artificial‑intelligence models by scraping Instagram accounts, harvesting copyrighted artwork and transcribing pornographic soundtracks, according to the Guardian.Scale AI promotes its Outlier platform as a flexible, expert‑driven marketplace, recruiting professionals from medicine, physics and economics to "become the expert that AI learns from."Workers, however, say the reality diverges sharply from high‑level model refinement. They describe tasks that involve massive personal‑data scraping and content that many find morally uncomfortable.Outlier is managed by Scale AI, which holds contracts with the U.S. Pentagon and other defense companies. Its chief executive, Alexandr Wang, is hailed by Forbes as the world’s youngest self‑made billionaire, while former managing director Michael Kratsios served as science adviser to former President Donald Trump.One contractor noted that users of Meta platforms would be shocked to learn their photos and friends’ images are being harvested for AI training, with workers manually reviewing profiles to extract data.The Guardian interviewed ten Outlier contributors – many also journalists, graduate students, teachers or librarians – who took the gig work out of economic desperation. One said, "A lot of us were really desperate" and felt compelled to accept the unstable, low‑pay assignments.These gig workers, dubbed “taskers,” often feel they are training their own replacements, expressing “internalised shame and guilt” over contributing to the automation of creative professions.Law firm Clarkson, representing AI gig workers, estimates that hundreds of thousands of people worldwide now labor on platforms like Outlier. Taskers report bait‑and‑switch recruitment tactics, where advertised high salaries are replaced by lower‑paid projects after onboarding.All contributors are monitored through a tool called Hubstaff, which can screenshot browsers to verify work. While Scale AI claims the software is only for accurate payment, workers describe it as constant surveillance.Assignments have ranged from transcribing pornographic audio and labeling photos of dead animals or dog faeces, to annotating diagrams of infant genitalia and violent police scenarios. One doctoral student recounted being promised “no nudity” only to receive explicit porn clips.Scale AI says it shuts down any task flagged as inappropriate and does not accept projects involving child sexual‑abuse material or pornography, though workers note that publicly available images of minors have been used for training.Social‑media scraping tasks required workers to tag individuals by name, location and age, sometimes pulling data from accounts of users under 18. One task asked contributors to order Facebook photos by the subject’s age, prompting ethical unease.In addition to personal data, taskers were asked to harvest copyrighted artwork, with strict instructions to avoid AI‑generated images and select only hand‑drawn pieces. Scale AI maintains it does not ask workers to violate copyright standards.Scale AI’s client list includes major tech firms such as Google, Meta and OpenAI, as well as the U.S. Department of Defense and the government of Qatar, highlighting the growing demand for labelled data as AI models scale.Some workers reported interacting with ChatGPT and Claude, and speculated they might be training Meta’s upcoming model, code‑named “Avocado.”OpenAI announced it ended its partnership with Scale AI in June 2025, citing its supplier code of conduct that mandates ethical treatment of all workers.Despite irregular pay, occasional mass layoffs and the unsettling nature of many tasks, many taskers remain on the Outlier platform, hoping the AI future will eventually improve conditions. One said, "I have to be positive about AI because the alternative is not great."In response, a Scale AI spokesperson stated, "Outlier provides flexible, project‑based work with transparent pay. Contributors choose when and how they participate, and we regularly hear from highly skilled contributors who value the flexibility and opportunity to apply their expertise on the platform."

The risograph printer, a Japanese innovation from the 1980s, has captured the hearts of artists and creatives globally. This compact machine, produced by Riso Kagaku, allows for small print runs with a distinctive, handmade feel.Gabriella Marcella, a Scottish-Italian designer, fell in love with the risograph while studying at New York's Pratt Institute. She now curates Riso Club, a non-profit program promoting artists who use risographs. The club sends postcards featuring work from international cities, showcasing the riso community's global reach.The exhibition at Glasgow's Glue Factory Galleries celebrates the Riso Club's 100th issue with works from design heroes like Nathalie Du Pasquier and Peter Shire. Marcella hopes to demonstrate that design can be accessible, social, and connect people through print.Artists like Mari Kinovych and Kinda Ghannoum have used the risograph to showcase their cities, Kyiv and Damascus, in a unique and personal way. The risograph's political roots and ability to produce affordable prints have made it a staple in the art world.