AI News, 9 November 2026

Monday 9 November

Disney hires Adobe to build private AI models

Disney hires Adobe to build private AI models

AI-generated summary The Walt Disney Company has hired Adobe to build private generative AI models trained on Disney characters, settings, and visual styles. Under the multi-year alliance announced at Adobe MAX, Adobe becomes Disney's official AI innovation partner following an earlier partnership with OpenAI.

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Google Releases Gemini 4 Argon for Robotics Control, Simulation, and Policy Improvement

AI-generated summary Google released Gemini 4 Argon as a general-purpose physical-reasoning model intended for robot control, simulation, video labeling, and policy improvement. Google reports that Gemini 4 Argon achieves an 87 percent score on the Embodied Reasoning Question Answering benchmark and is available to subscribers and through the Gemini API.

What's new in Red Hat OpenShift 5 for developers

Feature image for Red Hat OpenShift

AI-generated summary Red Hat Developer Hub 2.1 introduces AI-assisted workflows and renames Red Hat Developer Lightspeed for Developer Hub to the context-aware Red Hat Developer Hub intelligent assistant. Red Hat OpenShift 5 introduces Model Context Protocol capabilities to provide AI agents safe access to platform resources.

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On-demand screen context in Red Hat Developer Hub intelligent assistant

Red Hat Developer Hub feature and share image

AI-generated summary Red Hat Developer Hub added on-demand screen and Document Object Model reading to its intelligent assistant to help developers troubleshoot deployment errors and plugin configurations. Red Hat Developer says the developer preview feature captures screenshots and cleaned markup through explicit user consent and event-driven data collection.

Expedera Demonstrates Edge AI Subsystem Pairing with Cadence

AI-generated summary Expedera announced on November 9, 2026, that it paired its Origin Evolution NPU IP with Cadence’s Tensilica NeuroEdge 130 AI Co-Processor in a pre-silicon simulation. Expedera says the integration is designed to improve performance and efficiency while reducing latency, cost, and complexity across edge nodes, smartphones, automotive systems, and data centers.