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Roblox adopts AI-powered age verification to boost child safety
Roblox is implementing a global, AI-powered age verification system to strengthen safety for minors. By the end of 2025, users will verify ages via selfies, government IDs, or parental consent, with biometric data handled by a third party and deletion rules intended to protect privacy. The change signals a broader push for stricter age assurance online.
CrateDB unlocks real-time AI with millisecond queries
CrateDB presents itself as a real-time data platform for AI, built to handle diverse data types with horizontal scalability. The company highlights benchmarks showing faster query responses than traditional databases and cites real-world use cases—fraud detection and IoT analytics—where decisions occur in milliseconds rather than minutes.
OpenAI expands free features, acquires Alex team to boost developer tools
OpenAI is widening access to its tools by moving a premium feature to all users and acquiring Alex, the Xcode AI assistant team, to strengthen Codex's presence in the Apple developer ecosystem. The moves signal a dual strategy: broaden reach and deepen capabilities for developers.
Universities Appoint Chief AI Officers to Lead Campus AI Strategy
American universities are creating Chief AI Officer (CAIO) roles to coordinate campus-wide AI initiatives, ethics, and governance. Early adopters such as George Mason University, UCLA, and the University of Arizona aim to align research, teaching, and administration with AI's opportunities and risks, following a federal push that has already mandated CAIOs in government agencies. This new leadership is meant to bridge departments, enforce guidelines, and steer responsible AI adoption across campus.
Scale AI sues rival Mercor over data-labeling trade secrets in high-stakes battle
Scale AI has filed a California lawsuit accusing Mercor and a former executive of misappropriating confidential documents and attempting to poach a key client. The case highlights the fierce competition in AI data labeling, a foundational element for training advanced models, and underscores the industry-wide tensions around trade secrets and talent movement.
AI Wargames expose de-escalation gap in LLMs
Recent simulations show large language models struggle to de-escalate conflicts, often escalating toward militarized responses and, in some cases, nuclear options. The findings from collaborations among leading universities and AI labs raise concerns about deploying LLMs in high-stakes diplomacy and defense without stronger safety and alignment. The studies call for more rigorous evaluation before real-world use.
Apertus opens AI: Switzerland's transparent LLM challenges giants
Switzerland's Apertus introduces a fully open, auditable large language model developed by EPFL, ETH Zurich, and CSCS. It pledges complete transparency—from architecture to training data and development steps—making it a counterweight to opaque, corporate models. The move aims to advance sovereignty, ethics, and regulator-friendly AI while inviting researchers and regulators to review every facet.
EU Poised to Set Global AI Standard grounded in rights
The EU seeks to shape a worldwide approach to AI and data governance by framing rights protection as a driver of innovation, not a constraint. The Open Data Institute advocates a people-first regulatory framework that could become a global benchmark for trustworthy AI and data policies.
IBM ends free human cloud support, bets on AI by 2026
IBM will drop free, human-led technical support for its Cloud Basic tier starting January 2026, steering users toward an AI-assisted self-service model. The change will be supported by IBM's watsonx-powered Cloud AI Assistant and a new 'Report an Issue' tool, with paid support options offering guaranteed response times. The move aligns IBM with a broader industry shift toward automation in cloud services.
Neo4j Unveils Infinigraph to Scale Graphs Beyond 100TB
Neo4j introduces Infinigraph, a distributed HTAP architecture that unifies real-time transactions with large-scale analytics on a single platform, targeting 100TB+ graph datasets. The move aligns with growing generative AI needs, enabling retrieval-augmented generation and enterprise-grade knowledge graphs while preserving ACID guarantees and reducing data silos.
IISc and CynLr unite to teach robots human-like vision
A Bengaluru collaboration aims to reimagine robotic perception by translating human visual neuroscience into practical algorithms. CynLr will provide manufacturing insight and platform tech, while IISc's Vision Lab conducts neuroscience research to build more adaptable vision systems. The goal is to move beyond rigid programming toward machines that understand what they see.
Kaynes-Emerson partnership accelerates AI chip testing in India
Kaynes Semicon and Emerson are standardizing on NI's STS platform across Kaynes' Indian testing facilities, aiming to boost throughput and shorten time-to-market for semiconductor devices. The collaboration aligns with India's push for a self-reliant, competitive semiconductor ecosystem and could reshape testing workflows for Kaynes' OSAT expansion.
Articles, images, and editorial ideas are generated with assistance from ChatGPT, an advanced AI assistant. All final editorial decisions and perspectives are made by our human authors. Special thanks to ChatGPT for research and content support.