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Stripe agrees to buy OpenRouter as AI model routing expands

ai, AI (Artificial Intelligence), AI Business Strategy, AI Infrastructure, AI Market Trends, AI Mergers & Acquisitions, api, Artificial Intelligence, AWS Bedrock, developers, Features, Infrastructure & Hardware, mergers & acquisitions

Stripe has agreed to acquire OpenRouter, an AI model-routing platform that gives developers access to hundreds of models through a single interface. The deal adds model selection and routing to Stripe’s existing work around AI usage and token-based billing. OpenRouter supports more than 400 models from over 80 providers, according to Stripe. Rather than requiring […]

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Alibaba tests new business model for Qwen open-source AI

ai, AI (Artificial Intelligence), AI Business Strategy, AI Market Trends, Alibaba, Artificial Intelligence, developers, Features, Large Language Model, Open-Source & Democratised AI, open-source AI

Alibaba plans to introduce revenue-sharing terms for some commercial users of its next Qwen open-weight AI model, Reuters reported, citing two people familiar with the company’s plans. The arrangement would require larger companies that generate revenue from offering the model as a service to reach a commercial agreement with Alibaba. The exact revenue-sharing rate has

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OpenAI report links coding agents to faster science software builds

agentic ai, agents, ai, AI (Artificial Intelligence), AI and Us, AI in Action, Artificial Intelligence, Claude Code, Codex, coding, Data Engineering & MLOps, developers, Featured News, Features, Healthcare & Wellness AI, Inside AI, Open Source, Open-Source & Democratised AI, OpenAI, Programming, Python, refactoring, rust, Science, Software engineering, World of Work

OpenAI has released a new field report tracking eight scientific computing projects where coding agents cut runtimes. The report documents projects that used Codex on its own in five cases and a combination of Codex and Anthropic’s Claude Code in three others. Worth flagging upfront: this is a vendor publishing a survey of its own

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OpenAI Agents SDK improves governance with sandbox execution

agents sdk, ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, automated workflows, clinical records, cybersecurity, Cybersecurity AI, Data Engineering & MLOps, developers, Featured News, Features, governance, Governance, Regulation & Policy, Healthcare & Wellness AI, Healthcare AI, How It Works, Infrastructure & Hardware, Inside AI, model harness, Natural Language Processing (NLP), OpenAI, oscar health, risk mitigation, sandbox execution, sdk

OpenAI is introducing sandbox execution that allows enterprise governance teams to deploy automated workflows with controlled risk. Teams taking systems from prototype to production have faced difficult architectural compromises regarding where their operations occurred. Using model-agnostic frameworks offered initial flexibility but failed to fully utilise the capabilities of frontier models. Model-provider SDKs remained closer to

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Mozilla dev’s “Stack Overflow for agents” targets a key weakness in coding AI

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Mozilla developer Peter Wilson has taken to the Mozilla.ai blog to announce cq, which he describes as “Stack Overflow for agents.” The nascent project hints at something genuinely useful, but it will have to address security, data poisoning, and accuracy to achieve significant adoption. It’s meant to solve a couple of problems. First, coding agents

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Meeting the new ETSI standard for AI security

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The ETSI EN 304 223 standard introduces baseline security requirements for AI that enterprises must integrate into governance frameworks. As organisations embed machine learning into their core operations, this European Standard (EN) establishes concrete provisions for securing AI models and systems. It stands as the first globally applicable European Standard for AI cybersecurity, having secured

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