#anthropic

Anthropic’s Claude AI Down In India: Users Say AI Chatbot App, Website Inaccessible On June 2, 2026, Anthropic’s Claude AI experienced a widespread outage across India, leaving thousands of users unable to access the chatbot, app, website, API, and developer tools. Reports of the issue began flooding in around 11:49 AM IST, prompting the company to confirm elevated error rates and announce that a fix had been identified and was being implemented. The disruption affected multiple key services, including the Claude AI platform, Claude Console, Claude API, and Claude Code, which are central to developers and users relying on the AI assistant for various tasks. Users reported significant difficulties in accessing the AI tools, with many encountering failed requests, slow loading times, and intermittent service interruptions. The outage tracking platform DownDetector recorded a sharp increase in reported issues around the same time, highlighting the scale of the problem. Anthropic acknowledged the disruption on its official status page, stating that several Claude-related services were facing elevated error rates. The company’s statement emphasized that the issue had been identified and that a fix was in progress, though it did not provide further details on the cause or expected resolution time. The outage disrupted both individual users and businesses that depend on Claude for tasks such as coding, data analysis, and customer support. For developers, the unavailability of the Claude API and Console tools hindered productivity, while end-users faced frustration over the inability to access the chatbot for queries or assistance. Anthropic’s response to the crisis was swift, with the company’s team working to resolve the issue and restore full functionality to its services.#india #anthropic #claude_api #claire_ai #claude_console

Anthropic Files Confidential IPO Paperwork Ahead of OpenAI Anthropic (ANTH.PVT) announced on Monday that it has submitted confidential paperwork to the Securities and Exchange Commission (SEC) to pursue an initial public offering (IPO), positioning itself ahead of its rival OpenAI (OPAI.PVT) in the race to go public. The company emphasized that the number of shares to be offered and the stock’s pricing have not yet been finalized. In a statement, Anthropic noted that the IPO would depend on market conditions and other factors, with the process contingent on the SEC’s review. The filing comes shortly after Anthropic disclosed that it raised $65 billion in its latest funding round, valuing the company at $965 billion. This surpasses OpenAI’s previous valuation of $852 billion, as reported in March. Anthropic’s rapid ascent is attributed to its success in enterprise markets, particularly through its Claude Code coding software. The company has expanded its product lineup this year, introducing offerings like Claude for Small Business and recently unveiling its latest flagship model, Claude Opus 4.8. Anthropic’s financial performance has also surged, with its annual revenue run rate exceeding $47 billion at the start of May. This marks a significant increase from $30 billion in April and $9 billion in the same period last year. The company is now competing in a high-stakes race with OpenAI to secure a spot in the public markets, with SpaceX (SPAX.PVT) also filing for an IPO earlier this month. CEO Dario Amodei has positioned Anthropic as a safety-focused alternative to OpenAI, emphasizing ethical AI development. This approach has led to notable decisions, such as withholding its latest AI model, Claude Mythos Preview, due to concerns about its potential to exploit software vulnerabilities.#spacex #dario_amodei #sec #anthropic #openai

AI Giant Anthropic Plans U.S. Stock Market Listing Anthropic, a leading artificial intelligence company, has announced its intention to become a publicly traded firm in the United States. The move, which follows similar plans by Elon Musk’s SpaceX, is expected to test investor confidence in the rapidly growing AI sector. While the company has not yet finalized the price or number of shares to be offered, its valuation of over $965 billion has positioned it ahead of OpenAI, which is valued at approximately $852 billion. This marks a significant milestone for Anthropic, which was founded just five years ago by CEO Dario Amodei and a small team of executives. Amodei, who previously worked at OpenAI, left the company after disagreements with its CEO, Sam Altman. Since then, Anthropic and OpenAI have emerged as fierce competitors in the AI industry, both developing advanced generative models and vying for market share among users and corporate clients. OpenAI, too, is reportedly considering a public listing this year, though Altman has stated the company is not in a hurry to proceed. “We’ll do it when it makes sense,” Altman said during an interview with CNBC. The potential IPOs of Anthropic and OpenAI could set a new precedent for how public markets value AI-driven companies. Analysts have highlighted the significance of Anthropic’s IPO, noting that it will be closely scrutinized by investors. Troy Hooper, a leader in equity capital markets at Mergermarket, emphasized that neither firm wants to be the last major AI company to go public. “The first mover has a real chance to define how public markets value generative AI, setting up the yardstick that investors will use to measure everyone else,” Hooper said. Beyond the financial implications, Anthropic has faced legal challenges, particularly with the U.S. Department of Defense.#spacex #dario_amodei #elon_musk #anthropic #openai

Anthropic Raises $65 Billion in Series H Funding at $965 Billion Post-Money Valuation Anthropic, the artificial intelligence company known for its large language model Claude, has secured $65 billion in Series H funding, bringing its post-money valuation to an astonishing $965 billion. The funding round was led by major venture capital firms including Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, with additional participation from a broad array of institutional investors and hyperscalers. The round marks a significant milestone in the company’s rapid growth and its efforts to scale its AI capabilities globally. The funding will be directed toward advancing safety and interpretability research, expanding computational infrastructure to meet rising demand for Claude, and scaling products and partnerships that underpin its enterprise operations. Global enterprises across diverse industries have increasingly integrated Claude into their core workflows, with adoption continuing to grow since the company’s Series G funding round in February. The company reported that its run-rate revenue surpassed $47 billion earlier this month, underscoring the robust demand for its AI tools. Krishna Rao, Anthropic’s Chief Financial Officer, emphasized the critical role of Claude in supporting its expanding customer base. “Claude is increasingly indispensable to our growing global community of customers,” Rao stated. “This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens.” The investment also aims to enhance tools like Claude Code and Cowork, making them more adaptable to user needs and more powerful for professional applications.#anthropic #claire #krishna_rao #brad_gerstner #marc_stad

Claude Opus 4.8 Now Available in GitHub Copilot Anthropic has officially released Claude Opus 4.8, its latest iteration of the Opus model, as a new option within GitHub Copilot. The update marks a significant advancement in the model’s capabilities, particularly in its ability to understand and generate code across a wide range of programming tasks. Early testing has shown that the model excels in handling complex problem-solving scenarios and navigating large codebases, representing a notable improvement over previous versions of the Opus series. The new model is being introduced with a temporary pricing structure that includes a 15X premium multiplier for request costs until June 1, 2026, when Anthropic plans to transition to a usage-based billing system. This pricing adjustment is intended to account for the enhanced performance and resource demands of the updated model. Access to Claude Opus 4.8 is currently available to GitHub Copilot Pro+, Business, and Enterprise users. Users can select the model through the model picker interface within Copilot. However, the rollout is being implemented gradually, so some users may need to check back periodically if they do not immediately see the option. For Copilot Enterprise and Copilot Business plan administrators, additional steps are required to enable access to the Claude Opus 4.8 model. These administrators must activate the model-specific policy within the Copilot settings to ensure their teams can utilize the new capabilities. Anthropic has also provided guidance for users interested in exploring all available models within GitHub Copilot. Detailed documentation outlines the different models and their features, offering a starting point for users looking to integrate the new tool into their workflows. The release of Claude Opus 4.#github_copilot #anthropic #claude_opus #copilot_pro_plus #copilot_enterprise

Claude Opus 4.8 Released with Enhanced Features and Performance The latest iteration of the Claude Opus series, version 4.8, has been launched with a range of improvements aimed at enhancing collaboration, efficiency, and reliability. This update builds on the foundation of its predecessor, Opus 4.7, and introduces new capabilities designed to better serve users in coding, reasoning, and practical knowledge tasks. The release coincides with several key features, including dynamic workflows for Claude Code and a faster, more cost-effective fast mode. These updates are now available at the same pricing as previous versions, with no changes to the standard rate structure. Opus 4.8 introduces a new feature that allows users to control the amount of effort the model dedicates to a task. This flexibility enables users to balance quality and speed based on their specific needs. For coding tasks, the default setting is set to "high effort," which the developers claim offers the best overall balance between performance and user experience. Users can also opt for "extra" or "max" effort levels, which allocate more computational resources to achieve higher accuracy, particularly for complex or long-running workflows. To accommodate these settings, rate limits in Claude Code have been increased, ensuring that users can select the most appropriate option for their projects. A significant focus of the update is on improving the model's reliability and judgment, especially in agentic tasks where the model must make decisions or take initiative. Early testers have reported that Opus 4.8 is more honest and less prone to making unsupported claims. This improvement is attributed to enhanced training processes that prioritize transparency and accuracy.#anthropic #claude_code #claude_opus #claude_mythos #project_glasswing

Google Unveils Gemini 3.5 and AI Agent Gemini Spark at I/O 2026 Google announced its latest advancements in artificial intelligence during its annual I/O developer conference on Tuesday, May 19, 2026, in Mountain View, California. The company introduced Gemini 3.5 Flash, a lightweight variant of its Gemini AI model, alongside a new world model called Omni. These updates aim to strengthen Google’s position in the rapidly evolving AI landscape, where competitors like OpenAI and Anthropic are also preparing for major milestones, including potential IPOs later this year. Gemini 3.5 Flash is positioned as a cost-effective and high-performance option, offering cutting-edge capabilities at significantly reduced computational costs compared to other frontier models. According to CEO Sundar Pichai, the model is “remarkably fast,” with Google emphasizing that it now serves as the default version for the Gemini app and AI mode in search across global platforms. The company highlighted improvements in cybersecurity, stating that the model is “less likely to generate harmful content and mistakenly refuse to answer safe queries.” This focus on safety and efficiency is intended to address user concerns about AI reliability while maintaining high performance. In contrast, Gemini 3.5 Pro, a more robust version of the model, is currently being used internally by Google but will not be available to the public until next month. The distinction between the two versions underscores Google’s strategy to balance accessibility with advanced capabilities, catering to both casual users and enterprise clients. Beyond Gemini, Google unveiled Omni, a world model designed to simulate physical environments and predict outcomes based on user interactions.#google #sundar_pichai #anthropic #openai #io_2026

Mozilla Says AI Tool Mythos Found 271 Vulnerabilities With "Almost No False Positives" Mozilla engineers revealed on Thursday that their use of Anthropic’s Mythos AI model uncovered 271 security flaws in Firefox over two months, with the results showing "almost no false positives." The findings, detailed in a behind-the-scenes post, mark a significant step in leveraging AI for vulnerability detection, though the claims have drawn skepticism from critics who question the reliability of such tools. The project, led by Mozilla’s Distinguished Engineer Brian Grinstead, focused on improving AI-assisted security testing by developing a custom "harness" to guide Mythos through Firefox’s source code. Unlike earlier attempts where AI-generated bug reports often contained hallucinations, the harness allowed the model to interact with the same tools and processes used by human developers. This included access to Firefox’s specialized build systems and testing frameworks, enabling Mythos to identify memory safety issues by triggering crashes in a sanitizer build. The harness worked by instructing Mythos to "find a bug in this file," then providing it with tools to generate test cases and evaluate results. If the AI identified a potential issue, the system would run the test case through existing fuzzing tools. A second LLM was used to grade the output, ensuring high confidence in the findings. Grinstead emphasized that this process eliminated the need for manual verification of most reports, allowing engineers to quickly confirm vulnerabilities and iterate on fixes. Mozilla’s analysis revealed that 180 of the 271 vulnerabilities were classified as "sec-high," the highest priority for internally reported bugs. These flaws could be exploited through normal user actions, such as visiting a malicious website.#anthropic #mozilla #firefox #mythos #brian_grinstead

Mozilla's AI-Powered Bug Fixes in Firefox Spark Debate Over Model vs. Middleware Effectiveness Mozilla reported that its Firefox browser received 423 security bug fixes in April, a rate more than five times higher than March’s 76 fixes and nearly 20 times the browser’s 21.5 monthly average from the previous year. The company attributed this surge to the use of AI models, particularly Anthropic’s Mythos Preview, which identified 271 of the bugs in Firefox 150. However, the effectiveness of Mythos itself remains contested, with security experts questioning whether the model’s success stemmed from its advanced capabilities or from improvements in the middleware that connects AI systems to developers. Firefox’s security team, including distinguished engineer Brian Grinstead, tech lead Christian Holler, and head of security Frederik Braun, acknowledged that AI-generated security reports have evolved from “slop” to more reliable findings over recent months. They credited this progress to advancements in AI models and the development of better techniques for guiding these models to prioritize meaningful results over noise. To demonstrate the value of their approach, Mozilla unmasked a small sample of bug reports linked to the fixes, including a high-severity heap use-after-free vulnerability that could be triggered via the XSLTProcessor DOM API without user interaction. The team emphasized that AI analysis has enhanced security coverage, particularly in identifying sandbox escapes—complex flaws that are difficult to detect with traditional methods like fuzzing. They also highlighted how AI validated prior efforts to harden Firefox against prototype pollution attacks, as audit logs showed models attempting exploitation without success. However, Mozilla’s transparency in quantifying AI’s impact has drawn scrutiny.#anthropic #mozilla #brian_grinstead #christian_holler #frederik_braun

FIS Brings Agentic AI to Banking with Anthropic, Starting with Financial Crimes FIS, the financial technology company serving nearly 12% of the global economy, has announced a partnership with Anthropic to introduce agentic AI in the banking sector, beginning with a specialized tool for financial crimes. The collaboration aims to revolutionize anti-money laundering (AML) investigations by drastically reducing the time required to process cases, shifting from hours to minutes. This initiative is part of a broader strategy to develop AI agents tailored for regulated industries, with the Financial Crimes AI Agent serving as the first major proof of concept. The Financial Crimes AI Agent, co-designed by FIS and Anthropic’s Applied AI team, combines Anthropic’s Claude reasoning capabilities with FIS’s extensive banking data and regulatory infrastructure. This integration enables the agent to automatically assemble evidence across a bank’s core systems, evaluate activities against known financial crime typologies, and prioritize high-risk cases for investigator review. BMO and Amalgamated Bank are among the first institutions to pilot the tool, with broader availability planned for the second half of 2026. The partnership emphasizes a secure, auditable environment where client data remains within FIS-controlled infrastructure. Every decision made by the AI agent is traceable, ensuring compliance with regulatory standards. FIS’s roadmap includes expanding the agent-first approach to other critical banking functions, such as credit decisioning, deposit retention, customer onboarding, and fraud prevention. These tools will be delivered through a unified platform, leveraging FIS’s governance frameworks and data analytics capabilities.#anthropic #fis #financial_crimes_ai_agent #bmo #amalgamated_bank

CoreWeave Stock Surges 5.3% as Meta Deal Extends to 2032 and Backlog Eyes $95 Billion CoreWeave’s stock rose 5.3% on Monday following the announcement of a $21 billion multi-year cloud infrastructure deal with Meta Platforms, which secures revenue visibility through 2032. The agreement includes installations of NVIDIA’s Vera Rubin platform and targets large-scale AI inference workloads. This deal follows a $6 billion partnership with Jane Street and a previous agreement with Anthropic, pushing CoreWeave’s backlog of performance commitments to over $95 billion from $67 billion at the end of Q4 2025. Analysts highlighted the long-term nature of the Meta contract as a key factor in the stock’s recent rally, with Jefferies raising its price target to $160 and maintaining a Buy rating. The Meta deal stands out for its seven-year duration, a rarity in the cloud infrastructure sector, which typically features shorter, transactional agreements. This extended commitment provides CoreWeave with income visibility that smaller partners rarely achieve, offering stability amid market volatility. The deal also underscores the company’s growing role in powering AI workloads for major tech firms, with its infrastructure now supporting nine of the top 10 AI model providers. CoreWeave’s data centers, spanning 43 locations and operating at 850 megawatts of active electricity, aim to reach 8 gigawatts by 2030, further solidifying its position in the AI infrastructure space. Despite the positive developments, CoreWeave faces risks tied to its reliance on OpenAI, which accounts for approximately a third of its contracted revenue.#nvidia #meta_platforms #anthropic #coreweave #jane_street

Trump Administration Considering Safety Review for New AI Models Amid Post-Mythos Concerns The Trump administration is exploring a new initiative that would mandate the Pentagon to conduct safety assessments for AI models deployed by federal, state, and local governments, according to Axios. This development comes as the White House grapples with the security implications of advanced AI systems, particularly following the release of Anthropic’s Mythos Preview. The plan aims to address vulnerabilities in AI models before they are integrated into public sector operations, marking a shift from the administration’s previous stance of minimal oversight. The Office of the National Cyber Director (ONCD) has convened two key meetings in recent weeks, engaging with technology companies and industry trade groups to discuss broader security risks posed by advanced AI models. These discussions have centered on the need for a structured framework to evaluate the safety and security of AI deployments. Sources indicate that the ONCD is considering a proposal that would place the Pentagon in charge of leading safety testing for AI systems used by government entities. This would add an additional layer of scrutiny to ensure that models are secure before they are implemented in critical infrastructure and public services. The proposed framework is reportedly well advanced, with one source noting that it was under development prior to the release of Mythos, which has intensified concerns about AI’s potential for cyber threats. While the administration is considering an executive order to assign multiple agencies with the responsibility of safety testing, it remains unclear whether the plan will incorporate updates to address advancements in models like Mythos and OpenAI’s GPT 5.5.#pentagon #trump_administration #anthropic #office_of_the_national_cyber_director #mythos

20k Job Cuts at Meta, Microsoft Raise Concerns About AI Labor Crisis The tech industry is facing a significant shift as major companies like Meta and Microsoft announce large-scale layoffs, raising alarms about an impending labor crisis driven by the rapid adoption of artificial intelligence. Meta revealed plans to cut 10% of its workforce, equivalent to approximately 8,000 jobs, while Microsoft introduced voluntary buyouts for the first time in its 51-year history. These moves, which come amid a broader trend of job reductions across the sector, signal a fundamental restructuring of corporate operations rather than a temporary adjustment. The combined job cuts from Meta and Microsoft—exceeding 20,000—mark the latest in a series of layoffs that have already affected over 92,000 tech workers in 2026, bringing the total since 2020 to nearly 900,000. This surge in layoffs has sparked fears among economists and industry experts that AI is accelerating a permanent transformation in how work is organized and executed. Anthony Tuggle, an executive coach and former AI industry professional, described the shift as a “fundamental structural shift,” emphasizing that the changes are not merely a reaction to market fluctuations but a redefinition of labor dynamics. The layoffs are occurring even as companies invest heavily in AI infrastructure. Meta, Microsoft, Amazon, and Alphabet are collectively expected to spend nearly $700 billion this year on AI development, despite the simultaneous reduction of thousands of jobs. Meta’s CEO, Mark Zuckerberg, cited efficiency as the primary reason for the cuts, stating that the reductions are part of efforts to streamline operations and offset other investments. Similarly, Microsoft’s CEO, Satya Nadella, announced voluntary buyouts for about 7% of U.S.#microsoft #meta #anthropic #mark_zuckerberg #satya_nadella

Microsoft and OpenAI Renegotiate Deal to Expand OpenAI's Market Reach Microsoft and OpenAI have renegotiated their long-standing partnership, ending Microsoft’s exclusive rights to sell OpenAI’s artificial intelligence models. This shift allows OpenAI to pursue deals with competitors like Amazon, Google Cloud, and other cloud providers, marking a significant change in the dynamics of their collaboration. The revised terms aim to reduce Microsoft’s reliance on OpenAI while granting the startup greater flexibility to expand its enterprise reach and compete with rivals such as Anthropic. The renegotiated agreement, announced jointly by the two companies, removes restrictions that previously limited OpenAI’s ability to secure computing resources and forge partnerships with cloud providers. Microsoft will remain OpenAI’s primary cloud partner through 2032, retaining a guaranteed 20% cut of OpenAI’s revenue until 2030. However, the total revenue share is now subject to an undisclosed cap, signaling a shift in the financial structure of their relationship. Additionally, the deal eliminates a clause that would have allowed OpenAI to stop paying Microsoft if it achieved artificial general intelligence (AGI), a milestone where AI matches or surpasses human capabilities. The change comes amid growing tensions between Microsoft and OpenAI, as the latter sought greater autonomy to operate independently. Microsoft’s initial $13 billion investment in OpenAI since 2019 had fueled the startup’s rise as an AI pioneer, but tensions escalated as OpenAI pushed for more freedom to access cloud services from Microsoft’s rivals. The renegotiation addresses these concerns by allowing OpenAI to leverage cloud infrastructure from Amazon, Google, and other providers, potentially boosting its enterprise capabilities.#microsoft #amazon #google_cloud #anthropic #openai

OpenAI Unveils GPT-5.5 "Spud" Model, Marks Accelerated AI Innovation OpenAI announced the release of its latest large language model, GPT-5.5, codenamed "Spud," on Thursday, just one week after competitor Anthropic launched its own advanced model. The release underscores a rapid pace of innovation in the AI sector, with companies increasingly prioritizing efficiency, speed, and enhanced capabilities to outpace rivals. The model represents a significant leap in performance, according to OpenAI co-founder Greg Brockman, who described it as "a new class of intelligence" and a major step toward "more agentic and intuitive computing." Key improvements include a faster, more efficient processing system that requires fewer tokens to achieve complex tasks, enabling the model to handle multi-step workflows with greater autonomy. Despite these advancements, OpenAI emphasized that GPT-5.5 maintains the same real-world response speed as its predecessor, GPT-5.4. The enhancements are particularly notable in areas requiring reasoning over extended contexts and task execution, such as coding, computer operations, general office work, and early-stage scientific research. Users can now input messy, multi-part tasks and let the model autonomously plan, utilize tools, verify its work, and deliver results without extensive step-by-step guidance. Early access teams reported substantial productivity gains, including the ability to review thousands of additional documents and save up to 10 hours weekly on repetitive tasks. Training for GPT-5.5 was conducted using Nvidia’s GPUs, continuing a partnership that has supported OpenAI’s previous models. Nvidia employees gained early access to test the model, and the company highlighted its role in enabling AI systems like GPT-5.#nvidia #anthropic #openai #gpt_5_5 #spud

Nvidia CEO Jensen Huang Condemns Comparison of China Chip Sales to Nuclear Arms Deals Nvidia’s chief executive, Jensen Huang, has dismissed the notion that selling advanced chips to China is akin to transferring nuclear weapons to North Korea, calling such comparisons “lunacy.” The remark came in response to Anthropic CEO Dario Amodei, who previously likened the practice to “selling nuclear weapons to North Korea and then bragging that the missile casings are made by Boeing” in a January essay. Huang’s defense of his company’s strategy to expand into the Chinese market has sparked heated debate within the tech industry, with critics warning of the risks and proponents emphasizing the economic opportunities. Amodei, a vocal opponent of U.S. companies selling advanced chips to China, argued in his essay that such sales would give China an unfair advantage during a critical period for its AI development. He warned that China’s ability to produce frontier chips in large quantities lags behind the U.S., and that providing it with access to cutting-edge technology could accelerate its rise as a global AI power. “There is no reason to give a giant boost to their AI industry during this critical period,” Amodei wrote, highlighting concerns about the long-term implications for U.S. technological dominance. Huang, however, has consistently defended the decision to sell chips in China, framing it as a necessary step to maintain the U.S.’s influence in the global AI landscape. During a recent episode of the Dwarkesh Podcast, he sharply rebuked Amodei’s analogy, calling it “lunacy” and emphasizing that chips are not equivalent to nuclear materials. “We’re not enriched uranium.#dario_amodei #nvidia #jensen_huang #anthropic #us_china_relations

Anthropic Launches Opus 4.7, Stellantis and Microsoft Ink 5-Year AI Pact, AMD Strengthens French AI Partnership Anthropic has unveiled the latest iteration of its advanced large language model (LLM), Opus 4.7, which powers its Claude Code platform. The update builds on the features introduced in the February 2024 release of Opus 4.6, including a context window of 1 million tokens, multi-step reasoning capabilities, long-term task management, and agent coordination. Opus 4.7 further enhances integration with third-party tools such as Microsoft PowerPoint and Figma. Notably, it incorporates cybersecurity elements from the Glasswing project, which includes the Claude Mythos model capable of autonomously identifying software vulnerabilities at scale. Anthropic emphasizes that Opus 4.7 includes limited capabilities to automatically detect and block requests related to prohibited or high-risk cybersecurity activities. The model is now accessible via Claude, APIs, Amazon Bedrock, Google Cloud’s Vertex AI, and Microsoft Foundry, with pricing unchanged at $5 per million input tokens and $25 per million output tokens. Stellantis has announced a strategic five-year collaboration with Microsoft to accelerate its digital transformation. The partnership focuses on co-developing advanced AI, cybersecurity, and engineering capabilities. Key initiatives include over 100 AI-driven projects across customer service, product development, and operations, such as enriched product development, predictive maintenance, and accelerated deployment of digital features. The agreement also mandates the establishment of a global AI-powered cyber defense center to monitor and respond to threats across Stellantis’ IT systems, connected vehicles, production sites, and digital tools.#microsoft #france #amd #anthropic #stellantis

Cyber Verification Program : Anthropic's Strategy Unveiled with Claude Opus 4.7 Launch Anthropic announced the release of its latest large language model, Claude Opus 4.7, on April 16, 2026, emphasizing significant improvements in financial analysis and reasoning capabilities without altering pricing. The update also introduced the Cyber Verification Program, a new initiative designed to address concerns about the potential misuse of AI in cybersecurity contexts. This program allows qualified professionals to request adjustments to security measures if their legitimate use of the model is blocked by existing safeguards. The new model, which succeeds Opus 4.6, showcases enhanced performance in complex agent tasks, including automated financial analysis and multidisciplinary reasoning. Anthropic highlighted these advancements in its official documentation, noting that Opus 4.7 maintains the same pricing structure while improving long-term memory management and high-definition image analysis. The company’s benchmarks indicate substantial progress in these areas, positioning Opus 4.7 as a leading model in the market. However, the launch of Opus 4.7 was accompanied by the introduction of stricter cybersecurity filters, balancing defensive use with the prevention of malicious applications. The existence of the Cyber Verification Program underscores Anthropic’s proactive approach to managing potential risks. The program operates through a dedicated form, accessible via a specific URL, which allows professionals in cybersecurity to submit requests for adjustments to security protocols. To qualify for the program, users must specify whether they access Claude via Anthropic’s API, application, or Microsoft Azure.#anthropic #claude_opus_4_7 #cyber_verification_program #zero_data_retention #glasswing_project

Claude AI Faces Global Outage After Anthropic’s Mythos Preview Reveal Services powered by Anthropic’s Claude AI experienced a widespread disruption on Tuesday, leaving users across regions unable to access key tools including Claude Chat, Claude Code, and the mobile application. The outage surfaced shortly after the company unveiled its latest artificial intelligence model, Claude Mythos Preview, sparking speculation about a possible connection between the announcement and the service instability. According to outage-tracking platform Downdetector, reports of issues began rising rapidly, with the disruption peaking at approximately 12:30 PM IST in India. At that point, nearly 491 users had flagged problems with accessing Claude’s services. Anthropic officially acknowledged the outage earlier at 06:23 UTC (11:53 AM IST), stating that it was investigating the issue. In a subsequent update at 07:59 UTC (1:29 PM IST), the company confirmed that the root cause had been identified and that a fix was actively being rolled out. The timing of the outage drew attention as it came just hours after Anthropic introduced Claude Mythos Preview, its most advanced AI model to date. The company claims the new model surpasses its previous flagship, Claude Opus 4.6, as well as competing systems like Gemini 3.1 across multiple performance benchmarks. Highlighting its potential, Anthropic revealed that Mythos was capable of identifying thousands of cybersecurity vulnerabilities across applications and operating systems—many of which had reportedly gone undetected by human reviewers. To further strengthen its rollout, Anthropic noted that it is collaborating with over 40 technology companies to test Mythos and address identified vulnerabilities before a broader public release.#anthropic #claude_ai #claude_code #claude_chat #mythos_preview

Alphabet's Cloud Ambitions Fuel a $420 Target and a High-Stakes Quarter Mizuho Securities has raised its price target for Alphabet to $420, maintaining an Outperform rating, while forecasting a record $149 billion in revenue for Google Cloud by 2027. This projection significantly exceeds the broader market’s $116 billion estimate, reflecting confidence in Alphabet’s strategic bets on artificial intelligence, infrastructure expansion, and its autonomous driving division. The move comes as the tech giant prepares to release its first-quarter earnings, which will be scrutinized for signs of sustained growth in its core advertising business and accelerating momentum in the cloud sector. The optimism is driven by Alphabet’s aggressive investments in AI-driven technologies. The company has deepened its collaboration with Anthropic, an AI startup, and expanded its chip supply chain through a partnership with Intel. This alliance now spans multiple generations of Intel’s Xeon-6 processors and co-developed Infrastructure Processing Units (IPUs), designed to enhance efficiency in AI data centers. These efforts are part of a broader push to dominate the AI market, which is expected to become a key revenue driver in the coming years. Alphabet’s financial commitments to these initiatives are substantial. The company plans to allocate between $175 billion and $185 billion in capital expenditures for 2026, primarily to build out its AI capabilities. This massive outlay reflects a long-term bet on monetizing AI technologies, with investors closely watching for details on AI-powered search overviews in the upcoming earnings report. Analysts argue that the company’s ability to scale these technologies will determine its competitive edge in the rapidly evolving cloud and AI markets.#alphabet #google_cloud #anthropic #waymo #mizuho_securities