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This week Anthropic revealed that its latest AI system, dubbed Mythos, is so powerful that the company will not make it publicly available, arguing that the potential risks outweigh commercial incentives.U.S. Treasury Secretary Scott Bessent convened senior banking executives to discuss the implications of the model, underscoring growing governmental concern over advanced AI capabilities.In the United Kingdom, Reform MP Danny Kruger wrote to the government urging an immediate dialogue with Anthropic, warning that Claude Mythos could pose "catastrophic cybersecurity risks" to the nation.Critics such as AI researcher Gary Marcus questioned the hype, suggesting that Anthropic’s co‑founder Dario Amodei may possess strong technical skills but is "graduated from the same school of hype and exaggeration" as OpenAI’s Sam Altman.Beyond the policy debate, Anthropic has mounted a striking media offensive. The startup secured a 10,000‑word profile in the New Yorker, two feature pieces in the Wall Street Journal, and a Time magazine cover that placed founder Amodei alongside the Pentagon and U.S. Defense Secretary Pete Hegseth.Co‑founder Jack Clark and Amodei appeared on separate New York Times podcasts, fielding questions about machine consciousness and the model’s potential to "rip through the economy." Their "resident philosopher" even discussed with the WSJ whether Claude, Anthropic’s commercial product used for cryptocurrency trading and missile‑target designation, possesses a "sense of self."Anthropic’s public‑relations lead, Danielle Ghiglieri, celebrated the coverage on LinkedIn, describing the Time cover as a "mad dash" that finally let the company tell its own story.However, the company’s PR triumphs have not been without missteps. In early April, Anthropic inadvertently released part of Claude’s internal source code, though it assured that no customer data or credentials were exposed.Experts remain skeptical about the unverified claims surrounding Mythos. Dr. Heidy Khlaaf of the AI Now Institute warned that the vague marketing language could be an attempt to attract investment without substantive scrutiny.Cybersecurity specialist Jameison O’Reilly acknowledged the model’s novelty but downplayed Anthropic’s assertion of discovering "thousands of zero‑day vulnerabilities," noting that in a decade of offensive operations, zero‑days were rarely needed to achieve objectives.Anthropic also faces operational constraints. The firm has imposed usage caps on its popular Claude model and now requires customers to purchase additional compute capacity for third‑party tools, suggesting that infrastructure limitations may be a practical reason for withholding Mythos.As the race to dominate the emerging AI market intensifies, Anthropic’s strategy appears to blend genuine safety concerns with a calculated publicity push, positioning Mythos as a strategic signal that the company remains "open for business" while keeping the technology under tight control.

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.

The Strategic Duality of Amazon's AI PortfolioAWS CEO Matt Garman has officially validated a strategy that seemed contradictory on the surface: investing billions in both OpenAI and Anthropic. Speaking at the HumanX conference in San Francisco, Garman addressed the inevitable questions regarding the $50 billion investment in OpenAI following the long-standing $8 billion investment in Anthropic.Garman, a veteran of Amazon since 2005, argued that this is not a conflict of interest, but a standard operating procedure for the cloud giant. He explained that AWS has long accepted the reality that it must compete with the very partners that help it succeed.Analyzing the $50 Billion Dual-Track StrategyThe core of Garman's argument lies in the interconnected nature of technology. He noted that in AWS's earliest years, the company realized it could not build every cloud offering itself. Instead, they built a "muscle" for navigating the complex market where partners often become competitors.Historical Context: In 2006, it was radical for partners to compete with those who helped them succeed.Current Reality: Today, even Oracle sells its database services directly on AWS, a direct competitor to Amazon's own database offerings.Competitive Promise: AWS has promised partners they will not grant themselves an unfair competitive advantage.Redefining the Cloud Partner EcosystemThe AI landscape is mirroring this historical shift. When Anthropic raised its latest $30 billion round in February, it included investors who were also backing OpenAI, such as Microsoft. Garman pointed out that this is the new normal in the "wild, money-grabbing world of AI."For AWS, the OpenAI investment was a strategic imperative. Both OpenAI and Anthropic models were already available on Microsoft's cloud, AWS's biggest rival. By investing in OpenAI, Amazon ensured it remained a technology development partner rather than being locked out of the loop.The Future of Model Routing and Homegrown IntegrationGarman predicts that the industry will move toward AI model-routing services. These services will allow customers to automatically switch between different models based on task requirements—such as using a cheaper model for code completion and a powerful model for complex reasoning.This routing capability is the key to how Amazon and Microsoft will slip their own homegrown models into usage, effectively recreating the "competing with your partners" dynamic that defines the modern cloud era.

US Defense Secretary Pete Hegseth announced on Wednesday that the United States had achieved a "decisive" military victory over Iran, claiming the Iranian missile programme has been "functionally destroyed." Speaking alongside General Dan Caine, chairman of the Joint Chiefs of Staff, Hegseth described the operation—codenamed Operation Epic Fury—as a "historic and overwhelming" triumph that met every objective, including the dismantling of Iran’s navy, air‑defence systems and missile‑production capability. The declaration came a day after President Donald Trump stepped back from a threatened full‑scale assault on Iran, just two hours before a self‑imposed deadline for Tehran to reopen the blockaded Strait of Hormuz. The resulting cease‑fire agreement stipulates that Iran will not possess a nuclear weapon and that the United States will monitor the country’s enriched uranium stockpiles. While Hegseth emphasized that "they can still shoot here and there, but that would be very unwise," he also warned that US forces will remain in the region to ensure compliance with the two‑week cease‑fire and to oversee the safe transit of vessels through the strategic waterway. Iran’s response was equally emphatic. The Supreme National Security Council, cited by IRNA, congratulated the Iranian people on a "victory" and urged perseverance until the details of that victory are finalized. The council highlighted Iran’s alliances with the so‑called "axis of resistance" in Lebanon, Iraq, Yemen and occupied Palestine, claiming the coalition has delivered blows to the enemy over the past 40 days. At the same briefing, General Caine confirmed that US military objectives in Iran have been met, but framed the cease‑fire as a "pause" rather than a permanent end to hostilities, noting that forces remain ready to resume combat if necessary. In parallel diplomatic developments, a senior Iranian official told Reuters that Tehran could reopen the Strait of Hormuz on Thursday or Friday, contingent on a cease‑fire framework being reached ahead of a scheduled US‑Iran meeting in Pakistan. The closure of the strait has previously disrupted global oil and gas markets, making its reopening a critical economic signal. Trita Parsi, vice‑president of the Quincy Institute for Responsible Statecraft, told Al Jazeera that President Trump needed an exit from a war he described as "an absolute disaster" and that the next two weeks are "crucial" for any genuine diplomatic opening, though he cautioned that the situation is not yet resolved. Analysts note that the cease‑fire’s success will hinge on Iran’s willingness to allow unfettered navigation through the Strait of Hormuz and on US verification of Iran’s uranium holdings. The coming fortnight will test whether the declared victory translates into lasting stability in a volatile region.

In a revealing glimpse of the club’s ironclad exclusivity, a 2019 iMessage exchange shows Jeffrey Epstein pleading with Steve Bannon to secure a membership for Paul, Weiss partner Brad Karp. Bannon dismissed the request, describing Augusta’s governing families as "crackers" from the Old South who distrust lawyers and bankers, underscoring the club’s cultural gatekeeping. That anecdote illustrates a broader truth: money alone cannot buy entry to the Masters. Even former President Donald Trump has never been able to force his way onto the Augusta grounds, a rarity among high‑profile U.S. sporting events. Traditionally, most tickets are allocated to lifelong local patrons, a practice that has been frozen since the 1970s. The only official avenue for the public is an annual lottery, where the odds are so slim they make Tiger Woods’ chances of a sixth Green Jacket look generous. In practice, however, a lucrative secondary market emerged, with scalpers selling tickets for up to 50 times face value and operating just outside the 2,700‑foot anti‑scalping boundary mandated by Georgia law. Last year’s Masters turned into a "bloodbath" for the resale industry. An executive from a local hospitality firm reported that around 200 ticket holders were denied entry after the club began rigorously enforcing its anti‑scalping policy. Patrons were sometimes escorted to a room, asked for identification, and interrogated about how they obtained their tickets – a process likened to a police stop. According to insiders, the club’s four‑day tickets now contain RFID chips that allow staff to track each badge’s location nightly. The embedded barcodes allegedly store the buyer’s address, enabling staff to pinpoint resale activity. Some reports claim the club is even purchasing resale tickets en masse to uncover the identities of sellers, then sending a politely worded letter that permanently bans the recipient from the grounds. Ticket platforms have felt the impact. StubHub has introduced a new contract that makes sellers fully liable for any fees or charges if a buyer is turned away, while SeatGeek has ceased offering Masters tickets altogether. This decisive move by Augusta National signals a broader shift in how elite sports events manage secondary markets. Ultimately, the crackdown serves a dual purpose: protecting the club’s brand integrity and reinforcing its reputation as an institution that remains untouched by even the most powerful political figures. As the Masters approaches, the message is clear – the only way onto Augusta’s hallowed fairways is through its own tightly‑controlled channels, not through the influence of money, politics, or the resale trade.

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 ongoing conflict between the US and Iran has raised concerns about the protection of civilians in war. Donald Trump's threats to bomb civilian infrastructure, including power stations, desalination plants, and bridges, have been widely criticized as potential war crimes. In a recent statement, Trump doubled down on his threat, saying that a whole civilization will die if his demands are not met. This rhetoric has sparked fears of a humanitarian crisis and raised questions about the US's commitment to protecting civilians in war.Historically, the protection of civilians has been a cornerstone of international law. The Geneva Conventions, established in 1949, clearly state that civilian objects shall not be the object of attack or reprisals. The US has a long tradition of upholding these principles, dating back to the Lieber Code of 1863, which established protocols for the protection of the innocent during the Civil War.The article argues that protecting civilians is not a sign of weakness, but rather a sign of strength and self-discipline. It cites examples of leaders who have prioritized humanitarian concerns in times of war, including President Franklin D. Roosevelt's vision for a world united around democratic values and international organizations. In contrast, Trump's approach has been criticized for its lack of nuance and disregard for humanitarian concerns. The article notes that the US must distinguish between military targets and civilian infrastructure, and that cyber-attacks and other non-lethal methods should be used whenever possible to minimize harm to civilians.Ultimately, the article concludes that upholding American values and international law is essential to maintaining global stability and preventing humanitarian crises. By prioritizing the protection of civilians, the US can demonstrate its commitment to humanitarian principles and show that it is capable of fighting wars with greater purpose and a plan for peace.

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."