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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.

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 US Treasury secretary, Scott Bessent, recently convened a meeting with major American bank chiefs in Washington to address growing concerns over the cyber risks associated with Anthropic's latest AI model, Claude Mythos. This model has reportedly exposed thousands of vulnerabilities in software and popular applications.The meeting, which included Jerome Powell, the Federal Reserve chair, and CEOs from prominent banks such as Goldman Sachs, Bank of America, Citigroup, Morgan Stanley, and Wells Fargo, was called to discuss the potential risks posed by this advanced AI technology. Jamie Dimon of JP Morgan was invited but could not attend.Anthropic has restricted the release of Claude Mythos to a limited number of businesses, including Amazon, Apple, and Microsoft, due to concerns that hackers could exploit the model's capabilities to compromise data security. The company has noted that the model uncovered vulnerabilities up to 27 years old that had not been previously identified.This development comes as the US government has designated Anthropic as a supply chain risk, a designation the company is contesting in court. The meeting highlights the increasing concern among regulators and financial leaders about the potential for AI to both enhance and threaten cybersecurity.

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.

Anthropic, a San Francisco-based AI startup, has announced that its latest AI model, Claude Mythos, has proven highly effective in exposing software weaknesses. The model has identified thousands of vulnerabilities in commonly used applications, many of which have no patch or fix available.According to Mike Krieger of Anthropic Labs, the company has decided not to release Mythos to the public due to concerns about its potential misuse by hackers. Instead, Anthropic is collaborating with cybersecurity specialists and engineers in the open-source community to utilize the model as a defensive tool.The oldest vulnerability uncovered by Mythos dates back 27 years, and none were previously noticed by their creators. Anthropic has shared a version of Mythos with cybersecurity companies CrowdStrike and Palo Alto Networks, as well as with Amazon, Apple, and Microsoft, in a project dubbed “Glasswing”.“AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities,” Anthropic said in a blog post. “The fallout – for economies, public safety, and national security – could be severe.”The project aims to protect critical infrastructure from cyber threats, with approximately 40 organizations involved in the design, maintenance, or operation of computer systems. Anthropic is providing about $100m worth of computing resources for the mission.

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.

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 recent visit of Anthropic's CEO Dario Amodei to Canberra has sparked a critical examination of the role of AI in society. Amodei, known for his 'progressive' approach to AI, has been promoting a vision of a future where AI transforms the economy and improves lives. However, the author of the article argues that this vision may not be as progressive as it seems. The risks associated with AI, such as job displacement, cultural homogenization, and potential harm to individuals, cannot be ignored. The article highlights the concerns of experts like Toby Walsh, who notes that AI is both good and bad, and that its impact depends on how it is used and regulated. The author, Peter Lewis, questions his own progressive credentials and argues that the unchecked development of AI threatens to undermine the very notion of progress. He suggests that the government should slow down the development of AI and establish guardrails to prevent its negative consequences. The article cites examples of experts and politicians, such as Bernie Sanders and Alexandria Ocasio-Cortez, who are calling for a moratorium on the development of new datacenters. The author argues that this cautious approach is necessary to ensure that AI is developed in a way that benefits society as a whole, rather than just a select few. Ultimately, the article concludes that the future of AI must be shaped by a nuanced and informed discussion about its potential risks and benefits. The author argues that only by slowing down the development of AI and establishing clear regulations can we ensure that its impact is truly progressive.