OpenAI has struck a strategic partnership with Infosys to integrate its AI tools — notably the coding assistant Codex — into Infosys’s Topaz AI platform, aiming to help large enterprises move from pilot projects to wide-scale AI deployments. The collaboration is positioned to accelerate software modernization, automate development workflows and support DevOps, with an initial focus on software engineering and
Category: Artificial Intelligent
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Anthropic’s MCP Design Flaw: How a Protocol-Level Vulnerability Enables Remote Code Execution at Scale
A critical architectural flaw in Anthropic’s Model Context Protocol (MCP) ecosystem has exposed a vast number of downstream systems to remote code execution (RCE) risks. Researchers at OX Security found the issue embedded across official MCP SDKs for Python, TypeScript, Java, and Rust — meaning developers building on MCP inherit the vulnerability by design rather than through a simple coding
Anthropic and Amazon Expand Partnership, Securing Up to 5GW of Compute for Claude
Anthropic announced on April 20, 2026, a major expansion of its collaboration with Amazon that will secure up to 5 gigawatts (GW) of new compute capacity to train and deploy Claude. The agreement accelerates capacity coming online this year and ties together deeper infrastructure, platform integration, and additional capital investment — steps Anthropic says are needed to meet surging customer
Google’s Gemini AI Stops Malicious Ads at Scale — Inside the 2025 Ads Safety Results
Threat actors are increasingly using generative AI to create convincing, large-scale advertising scams, and traditional keyword filters have struggled to keep up. In response, Google integrated its Gemini AI models into its ad-safety systems, allowing the company to analyze vast behavioral and account signals in real time and block threats before they reach users. The change marks a notable shift
Anthropic’s Claude Opus 4.7 Arrives in Amazon Bedrock — Smarter Coding, Vision, and 1M-Token Context
Amazon Bedrock now offers Anthropic’s Claude Opus 4.7, a major upgrade aimed at production-grade workflows that demand stronger reasoning, longer context windows, and more reliable scaling. Opus 4.7 builds on the Opus family’s strengths and targets real-world use cases such as agentic coding, multi-step knowledge work, long-running tasks, and high-resolution visual understanding. Running on Bedrock’s next-generation inference engine, the model
Claude Opus 4.7: Anthropic’s Sharper, More Reliable Coding and Multimodal Model
Anthropic’s newest release, Claude Opus 4.7, is now generally available. Built as an incremental but meaningful upgrade over Opus 4.6, Opus 4.7 is positioned as a model that improves sustained reasoning, long-running workflows, and high-resolution vision. Anthropic emphasizes that while Opus 4.7 is not as broadly capable as their most advanced Mythos Preview model, it brings tangible gains for software