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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.

Amazon announced that, effective 20 May 2026, it will stop delivering software updates to Kindle and Kindle Fire devices launched in 2012 or earlier. The decision targets a range of models, from the original 2007 Kindle to the first‑generation Kindle Paperwhite and early Kindle Fire tablets. According to the company, owners will retain the ability to read books already stored on their devices, and their Amazon accounts will remain usable through mobile and desktop applications. However, a factory reset on the affected units will render them inoperable for new purchases, borrowing, or downloads. Amazon is offering discounts to encourage users to upgrade to newer hardware, acknowledging that many of the devices have been supported for 14‑18 years. The move has ignited a wave of criticism online, with users describing their still‑functional e‑readers as being reduced to "paperweights" and accusing the retailer of fostering large‑scale waste. Ugo Vallauri of the Restart Project—a UK‑based repair advocacy group—told the BBC that manufacturers often cite performance improvements when ending support, but this does not justify "soft‑bricking" millions of functional devices. He estimates the impact could affect roughly 2 million e‑readers, representing about 3 % of Kindle users, potentially creating more than 624 tons of e‑waste. Tech analyst Paolo Pescatore described the decision as "understandable from a security and support perspective," noting that the hardware of these older models was not designed for today's data‑intensive services. In summary, Amazon's phase‑out underscores the tension between extending product lifespans and keeping pace with rapid technological advancement, while raising environmental questions about the fate of legacy devices.

Atlassian announced a suite of new AI capabilities for its collaboration hub Confluence, aiming to turn a single page into a launchpad for visual storytelling, prototyping, and presentations.Remix Visual AI Enters Open Beta to Auto‑Generate Charts and GraphicsThe flagship feature, Remix, analyzes data stored in Confluence and recommends the most appropriate visual format—charts, graphs, or infographics—creating the asset without leaving the platform. Users can simply select a data block, and Remix produces a ready‑to‑use visual, streamlining the transition from raw information to polished output.Third‑Party Agents Bring Prototyping, App Building, and Slide Creation Inside ConfluenceLovable agent: Converts product ideas and data into working prototypes directly from Confluence pages.Replit agent: Transforms technical documentation into starter applications, accelerating development cycles.Gamma agent: Generates presentation slides and related materials, turning notes into polished decks.All three agents operate via Model Context Protocols (MCPs), allowing seamless interaction with external AI services while keeping data within the trusted Confluence environment.Embedding AI: A Strategic Shift Toward Integrated Workflow EnhancementsThis rollout follows Atlassian’s February addition of AI agents to Jira and mirrors a broader industry movement. Companies like Salesforce and OpenAI are embedding AI into existing tools—Salesforce’s Agentforce now lives within its core suite, and OpenAI’s Frontier Alliances push consultants to integrate its models into client workflows.Implications for Enterprise Collaboration and Competitive LandscapeBy keeping AI functionality inside the platforms teams already use, Atlassian reduces friction, potentially increasing adoption rates and driving higher engagement metrics. Competitors will need to match this depth of integration or risk losing market share in the fast‑growing AI‑augmented collaboration space.Looking Ahead: AI‑First Collaboration Platforms as the New StandardAnalysts expect the next wave of enterprise software to be “AI‑first,” with native agents and visual tools becoming default features rather than add‑ons. Atlassian’s strategy positions it to lead this transition, and future updates may expand Remix’s capabilities to real‑time data streams and broaden the ecosystem of third‑party agents.

Health‑service workers have voiced strong unease after it emerged that engineers from the controversial US tech firm Palantir were issued NHS.net email accounts. Those accounts unlock a directory containing contact details for as many as 1.5 million NHS staff members, as well as access to SharePoint file‑sharing and Microsoft Teams groups used by the service. Palantir’s engineers are supporting the rollout of the Federated Data Platform (FDP), a £300 million contract awarded in 2023 to link patient records across disparate NHS systems. The government touts FDP as a cornerstone of its plan to "reinvent the NHS" by moving from analogue to digital, promising faster diagnoses, better appointment allocation and more personalised treatment. While the use of NHS email accounts by external suppliers is not unprecedented, Palantir’s reputation for AI‑driven surveillance and military‑grade technology has amplified staff, patient and human‑rights concerns. Rory Gibson, a resident doctor, warned that his personal contact details should not be accessible to a company that also works on drone‑strike systems. The Guardian has identified at least six Palantir engineers who have been given NHS.net credentials. In response, a Palantir spokesperson argued that such access is "normal practice for government suppliers" and cited official guidance that government systems are more secure than external alternatives. Palantir claims its software has already yielded measurable benefits: 110,000 additional operations, a 15.3% reduction in discharge delays and a 6.8% rise in cancer diagnoses within 28 days of referral. The company stresses that it merely provides software, with data usage remaining under NHS control and subject to strict contractual confidentiality. David Rowland, director of the Centre for Health and the Public Interest, acknowledged that granting NHS email addresses may not breach rules but highlighted the "deep ethical concerns" that Palantir’s profit‑driven model clashes with NHS values. He called for a comprehensive review of which private firms receive public‑sector funding. Some NHS staff reported being placed in virtual Teams meetings with Palantir personnel who joined using NHS credentials, without any disclosure of their employer – a practice that further eroded trust. Under the NHSmail access policy, "independent sector organisations" delivering health and social‑care services nationally may use NHSmail. An unrestricted NHS.net account can reveal staff roles, locations, workplace details and even grant access to commercial "Blue Light" discounts. Palantir’s technology is already deployed by UK police forces and the Ministry of Defence, prompting critics to warn that its "drag‑and‑drop" interoperability could facilitate state overreach, including a potential British analogue of the US Immigration and Customs Enforcement agency. The firm’s founders include US businessman and former Trump supporter Peter Thiel and CEO Alex Karp, both known for advocating aggressive surveillance tools. Its UK arm is led by Louis Mosley, grandson of historic British fascist leader Oswald Mosley. An NHS spokesperson reiterated that all suppliers, including Palantir, operate strictly under NHS instruction, with data access governed by robust contractual confidentiality obligations.

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.

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."

Apple is escalating its legal war with Epic Games by petitioning the U.S. Supreme Court to review the court's ruling on App Store fees. This move signals a critical juncture in the tech giant's defense of its revenue model, as it attempts to overturn a decision that limits its ability to charge developers for external payments. The Strategic Shift to the Highest Court After losing its appeal at the Supreme Court in a previous phase of the case, Apple is now taking its fight to the highest level of the U.S. judiciary. The tech giant filed a petition to review the Ninth Circuit Court's ruling, which found Apple in contempt for charging a 27% fee on external payments—a slight discount from its standard 30% fee. Current Status: Apple secured a temporary stay on the Ninth Circuit's ruling on April 6, 2026, effectively pausing the enforcement of the lower court's decision. Epic's Response: Epic Games immediately challenged this stay, arguing it is merely a delay tactic to prevent the court from establishing permanent bounds on Apple's fees. Legal Timeline: The battle began in 2020 when Epic bypassed Apple's fees, leading to a 2021 ruling where Apple was not deemed a monopoly but was ordered to allow external payment links. The Economics of the 27% External Fee The core of Apple's legal strategy revolves around the justification of its fee structure. While Apple reduced its commission to 27% for external transactions, Epic argues this effectively defeats the purpose of the court order, as developers still do not save significant money due to processing fees. Apple's Stance: The company argues the fee covers more than just payment processing; it includes hosting, discovery, software, and developer tools, reflecting the value of the ecosystem. Competitor Benchmark: Google settled with Epic Games last month, dropping its Play Store commissions to 20%, highlighting the pressure Apple faces to lower its rates. Developer Impact: Only a few developers, including Spotify, Kindle, and Patreon, have been willing to utilize the external payment links due to Apple's aggressive tactics. Erosion of the App Store Moat This legal battle represents a significant threat to Apple's primary revenue stream. If the Supreme Court upholds the lower courts' rulings, it could force Apple to lower its commissions or abandon its current fee structure entirely. Market Dynamics: As consumers increasingly turn to AI chatbots and agents for transactions, the traditional gatekeeper role of the App Store is being challenged. Regulatory Pressure: The court's decision will set a precedent for how tech giants can regulate commerce within their ecosystems, potentially opening the door for more developer freedom. A High-Stakes Legal Verdict Looking ahead, the Supreme Court's willingness to hear this case is uncertain. The Court previously declined to hear a similar appeal regarding Apple's monopoly status. If they reject this petition, the Ninth Circuit's decision stands, and Apple will be forced to comply with the lower fee structure. However, if the Court agrees to hear it, Apple will push to convince judges that courts should not have the authority to limit the fees it charges for its services, potentially reshaping the digital economy for years to come.

The Lead Apple has rolled out critical security updates for older iPhone and iPad models to counter a sophisticated web-based attack known as DarkSword. The release of iOS 18.7.7 and iPadOS 18.7.7 is a direct response to a leaked set of hacking tools that can compromise devices running versions 18.4 through 18.7. Understanding the DarkSword Vulnerability DarkSword is a sophisticated exploit kit that operates through a 'drive-by download' mechanism. Attackers do not need to trick users into clicking suspicious links; instead, simply visiting a legitimate website that has been breached can trigger the malicious code. This allows the toolkit to break into Apple devices and install spyware without the user's immediate knowledge. The Data Impact of the Exploit The capabilities of the DarkSword toolkit pose a significant threat to user privacy. Once a device is compromised, attackers gain access to a wide range of sensitive information, including: Private messages Browser history Location data Cryptocurrency wallet credentials Security researchers have observed these tools being used in targeted attacks across China, Malaysia, Turkey, Saudi Arabia, and Ukraine. User Friction and Update Resistance Despite the severity of the threat, Apple notes that millions of users remain vulnerable because they have chosen not to update their devices. The primary driver for this resistance is the user experience; many users have opted out of the latest software updates to avoid the new 'liquid glass' interface, prioritizing familiarity over security patches. The Role of Lockdown Mode For users who remain at high risk, Apple’s optional Lockdown Mode offers a robust defense. The company has confirmed that this feature effectively blocks attacks that would bypass standard protections, including those from government-sponsored spyware campaigns. Future Outlook on Web-Based Threats The publication of the DarkSword toolkit on the open web signals a worrying trend. As these tools become more accessible, we can expect an increase in low-cost, high-impact cyberattacks targeting older device versions that lack the latest security protocols.