OpenAI CEO Sam Altman Pushes for Government-Owned AI Infrastructure
OpenAI CEO Sam Altman has called for governments to invest in and own their artificial intelligence infrastructure. In a statement, Altman clarified that OpenAI is not seeking government loan guarantees for its data centers, emphasizing that companies should bear their own business risks. He suggested that a government-owned AI infrastructure, including a “strategic national reserve of computing power,” would serve the public interest. This comes as OpenAI faces scrutiny over its significant investment plans and the immense costs associated with advancing AI technology. Altman believes the risk of having insufficient computing power is greater than the risk of overbuilding.
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CZI Bets on AI to Cure All Diseases, Restructures for Bio-Health Focus
The Chan Zuckerberg Initiative (CZI), the philanthropic organization founded by Mark Zuckerberg and Priscilla Chan, is restructuring to focus on using artificial intelligence to cure, prevent, or manage all diseases. CZI’s scientific teams will be centralized under a new entity called Biohub, which will lead the AI-powered research. The initiative believes that AI will be pivotal in creating powerful systems to understand and represent biology, thereby accelerating scientific discovery. A key project will be the development of a “Virtual Immune System” to model the human immune system and simulate therapies. This move represents a significant shift for CZI, concentrating its resources on the intersection of AI and biology to advance human health.
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AI Stock Market Bubble? Experts Weigh In on Soaring Valuations
Concerns are growing about a potential stock market bubble in the artificial intelligence sector as valuations of AI companies continue to soar. Some analysts draw parallels to the dot-com bubble, pointing to the significant gap between experimental AI spending and measurable profits as a key vulnerability. While the underlying potential of AI is considered strong, there is a possibility of a market correction rather than a complete collapse. Experts suggest that AI projects lacking a clear return on investment will be the first to suffer if the market tightens. Despite the hype, some financial experts argue that the current situation does not yet constitute a true bubble, as the major investors are highly profitable tech giants, unlike the speculative, unprofitable ventures of the dot-com era.
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Robotics Investment Hits Record $21 Billion in 2025, Fueled by AI and Defense Spending
Investment in the robotics industry is projected to reach a record $21 billion in 2025, according to a new report from F-Prime Capital. This significant increase is largely driven by advancements in generative AI, increased defense spending, and a rise in merger-and-acquisition activities. The ‘State of Robotics 2025’ report indicates a 150% funding increase for general-purpose robotics, which includes humanoids and other AI-driven machines, growing from $2 billion in 2024 to $5 billion this year. Defense robotics now constitutes 63% of the total investment. The report also notes a substantial 70% growth in the enterprise values of robotics ‘unicorns’ since 2024.
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Karsan’s Autonomous e-JEST Buses Land First North American Order for Atlanta
Karsan has received its first North American order for 10 of its Autonomous e-JEST buses. These vehicles are scheduled to begin public road service in the Atlanta area in 2026, marking the first deployment of electric and autonomous city minibuses in the United States. The Autonomous e-JEST, which was recently showcased at the Florida Autonomous Vehicle Summit, integrates a Level 4 automation platform. The six-meter electric minibus is designed for urban environments and can carry up to 16 passengers.
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Cognizant and Anthropic Partner to Scale Enterprise AI with Claude Models
Cognizant has announced a partnership with Anthropic to help enterprise clients scale their use of generative AI. The collaboration will combine Anthropic’s Claude family of models and agentic tooling with Cognizant’s engineering platforms and industry-specific blueprints. The goal is to assist businesses in moving from the experimental phase of AI to achieving tangible business results at scale. This integration aims to create an ‘agentified enterprise’ where intelligent systems work alongside humans to speed up modernization and transformation across various industries.
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Kyndryl to Acquire Solvinity, Expanding Secure Sovereign Cloud Services
Kyndryl has entered into an agreement to acquire Solvinity Group B.V., a Netherlands-based provider of secure managed cloud platforms and services. This acquisition is aimed at expanding Kyndryl’s secure cloud services capabilities, particularly for customers with sensitive and complex workloads. By combining Kyndryl’s advisory and managed services with Solvinity’s private and hybrid sovereign cloud offerings, the company intends to better support clients in navigating stringent security, data sovereignty, and compliance requirements. The financial terms of the deal have not been disclosed, and the acquisition is subject to customary closing conditions, including regulatory approval.
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AWS Invests in Eclipse Foundation’s Open VSX Registry for VS Code Extensions
Amazon Web Services (AWS) is providing funding to the Eclipse Foundation to enhance the infrastructure of the Open VSX Registry, a marketplace for Visual Studio Code extensions. This investment aims to improve the reliability, performance, and security of the registry, which has seen a significant increase in usage. The Open VSX Registry hosts over 7,000 extensions and serves more than 110 million downloads monthly. While the Eclipse Foundation has not committed to migrating the registry to AWS, they may consider it to reduce costs. This move from AWS is seen as a strategic investment in the sustainability of a critical open-source infrastructure that many developers and AI coding tools, including AWS’s own Kiro tool, rely on.
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Qovery Launches AI DevOps Copilot to Automate Complex Workflows
Qovery has integrated multiple AI agents, named the AI DevOps Copilot, into its DevOps automation platform. These agents are designed to understand natural language prompts to execute complex tasks and anticipate subsequent workflow steps. The AI capabilities cover a range of functions including environment provisioning, CI/CD pipeline optimization, DevSecOps governance, and FinOps cost management. Trained on data from millions of applications and infrastructure operations, the AI agents, built on Anthropic’s Claude large language models, aim to automate tedious tasks and reduce bottlenecks in DevOps workflows. The platform ensures that all actions are governed by role-based permissions and that private data is not shared with the LLMs.
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Global Cloud Market Share Q3 2025: AWS Leads Amidst Strong Growth
The global enterprise cloud infrastructure services market reached $107 billion in the third quarter of 2025, an increase of 28 percent year-over-year. AWS maintained its lead with a 29 percent market share, although this is a decrease from 32 percent in the same quarter of the previous year. Microsoft Azure and Google Cloud hold the second and third positions with 20 percent and 13 percent of the market, respectively. The top three providers collectively account for 62 percent of the global market. The significant growth in the market is largely attributed to the increasing demand for GenAI.
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DARPA Taps Atom Computing and IBM for Next Phase of Quantum Initiative
The Defense Advanced Research Projects Agency (DARPA) has selected both Atom Computing and IBM to move forward to the second stage of its Quantum Benchmarking Initiative (QBI). This program aims to accelerate the development of utility-scale, fault-tolerant quantum computers. Atom Computing will advance its neutral atom technology as part of the initiative. IBM’s continued participation is seen as a validation of its approach to building a large-scale, fault-tolerant quantum computer. The QBI program is designed to rigorously evaluate different approaches to create a useful quantum computer within the next decade.
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Google Releases Magika 1.0: A Faster, AI-Powered File Detection Tool
Google has officially released Magika 1.0, a stable version of its AI-powered open-source file type detection system. This major update features a complete rewrite of the core engine in Rust, significantly boosting performance and memory safety. Magika 1.0 now supports over 200 file types, a twofold increase from its initial release, with improved accuracy for challenging formats like various code and configuration files. The new version is capable of identifying hundreds of files per second on a single CPU core. Google has been using Magika internally in products like Gmail and Google Drive to enhance security. The tool also includes revamped Python and TypeScript modules for easier integration by developers.
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