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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.

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.

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 metal music scene has witnessed a surge in popularity of masked bands, with many notable acts donning elaborate masks as part of their stage presence. This trend is not only visually striking but also allows the bands to create a sense of mystery and anonymity. For bands like Imperial Triumphant, Gaerea, Sleep Token, Ghost, and Gwar, their masks have become an integral part of their image and artistry.Imperial Triumphant, an avant-garde metal band from the US, chose to wear striking gold masks modeled after 1920s art deco architecture. These masks brought their own set of problems, including getting lost in transit. The band's singer/guitarist, Zachary Ezrin, notes that the masks add a layer of complexity to their music, allowing them to tap into different parts of their personalities.Gaerea, a Portuguese black metal band, has also adopted the trend of wearing masks. Lead singer Alpha notes that the mask allows him to get into a different mode in his psyche, similar to how athletes get into a trance-like state during intense physical activity. The band's masks are not just for show; they also help to create a sense of anonymity, allowing the band to focus on their music rather than their individual identities.The use of masks in metal music is not a new phenomenon. Bands like Gwar and Slipknot have been using masks for decades, and their influence can be seen in many modern metal bands. However, the current trend of masked bands goes beyond just shock value; it's about creating a sense of mystery and artistry.The masks also allow bands to create elaborate mythologies and universes that fans can engage with. For example, Ghost poses as a subversive, devil-worshipping church, while Sleep Token's songs are ostensibly about their devotion to a god called Sleep. These mythologies help to create a sense of depth and complexity, drawing fans into the band's world.Despite the challenges of performing in masks, many bands find that it allows them to access new parts of their personalities and create a more immersive experience for their fans. As Ezrin notes, "I love the presentation of Imperial Triumphant... Even in 2026, when there are a million masked bands out there, I'd say we're still unique."

The nursery I visited, with its free croissants and Scandinavian-style furniture, seemed like a luxury, but it was just one example of how private equity has quietly infiltrated our daily lives. These firms now own a vast array of essential services, including water companies, apartment blocks, student accommodation, care homes, and children's homes.The problems arise when profit-driven fund managers prioritize returns over social welfare. Nurseries backed by private equity have reported profits up to seven times greater than non-profit nurseries, while spending up to 14% less on staff and experiencing higher staff turnover rates. This model is unsustainable and can leave parents without childcare and workers without jobs.Private equity's business model, which often involves leveraged buyouts and loading debt onto companies, can have disastrous effects on public services. The industry's lack of transparency and accountability makes it difficult to track the flow of money and hold fund managers accountable.The rise of private equity reflects a broader shift in capitalism, where debt-driven speculation has become a dominant route to building wealth. This has led to a zero-sum game where some individuals' gains come at the expense of others. As capitalism evolves, it's clear that those on top have discovered a new formula for building wealth: buying up essential services, loading them with debt, and passing the consequences on to the public.

Judith Rapoport, a leading child psychiatrist, passed away at 92, leaving a legacy defined by her groundbreaking work on obsessive‑compulsive disorder (OCD). Her 1989 book, The Boy Who Couldn’t Stop Washing, translated into more than twenty languages, presented complex research in a clear, jargon‑free style that resonated with a broad audience. OCD is characterized by compulsive rituals—re‑tying shoelaces, repeatedly checking switches, or incessant hand‑washing—that can dominate a person’s daily life. Before Rapoport’s book, many sufferers concealed their symptoms out of shame, unaware that they were not alone. Rapoport’s research demonstrated that OCD has a neurological foundation and may affect up to 2% of the population, challenging prevailing beliefs that it stemmed from overly strict parenting. She proved that the disorder can be hereditary and responsive to medication. In a pivotal 1989 double‑blind trial, she showed that the antidepressant clomipramine significantly reduced OCD symptoms, prompting the U.S. Food and Drug Administration to approve its use for the condition—a landmark moment in psychiatric treatment. Patients and colleagues credit her work with reducing stigma. "Reading Rapoport’s book washed away my shame," recalled Charles Gentz, who lives with OCD, while Professor Gabrielle Shapiro of the Icahn School of Medicine noted that the book “reduced the stigma for these people.” Rapoport herself reflected, “If my work alleviated just part of their pain, then it was not wasted time.” Born in New York City to a schoolteacher mother and a businessman father, she grew up with a literary lineage—her grandfather translated Ibsen into Yiddish. She excelled academically, graduating magna cum laude from Swarthmore College in 1955** and earning her medical degree from Harvard Medical School in 1959, where she met her husband, Stanley Rapoport. After early positions at Mount Sinai and the Massachusetts Mental Health Center, she and her husband secured fellowships in Sweden, conducting research at Uppsala University and the Karolinska Institute on women seeking abortions abroad. Returning to the United States, Rapoport joined the National Institute of Mental Health (NIMH) in 1976. There she led the institute’s child psychiatry branch from 1984, steering American psychiatry away from Freudian models toward a **biology‑focused** approach. Beyond OCD, she made significant contributions to the understanding of attention‑deficit hyperactivity disorder (ADHD) and childhood schizophrenia. Her 1978 study revealed that amphetamine improved concentration in both hyperactive and control children, contradicting the notion that stimulants only calm hyperactivity. Using MRI, she showed that childhood schizophrenia is progressive, involving loss of brain matter—a finding that shifted the focus from parenting to neurobiology. Rapoport’s expertise reached mainstream audiences through appearances on shows hosted by Oprah Winfrey and Larry King, further amplifying her message. By the time she retired in 2017, she had authored over 300 scientific papers, several books, and earned prestigious honors, including fellowship in the Institute of Medicine (1991) and the American Academy of Arts and Sciences (2000). Colleague Gabrielle Shapiro described her as “a pioneer who turned child psychiatry into a modern, evidence‑based discipline.” Outside the laboratory, she enjoyed music, theatre, hiking, and gardening. She is survived by her husband, two sons, and four grandsons.

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.