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Amazon Bedrock now supports OpenAI GPT-5.6 models—Sol, Terra, and Luna—across more than 25 AWS Regions through cross-Region inference. Developers can use US geographic or global inference profiles to improve throughput and access the models through OpenAI and Converse APIs.
Amazon Bedrock AgentCore now supports Policy Authoring, which converts natural-language policy documents into Dogwood policies. The update helps teams enforce agent controls, including new time-based constraints, with worked examples and best practices.
Long-form audiences remain highly sensitive to visible AI flaws, making full-stack AI production risky for films and television. Industry leaders are instead adopting human-led workflows where AI supports visual effects, previsualization, cleanup, quality control, and other production bottlenecks.
GitLab Dedicated customers can now deploy the AI Gateway for GitLab Duo Agent Platform within their single-tenant SaaS environment. This keeps AI processing aligned with the customer's selected AWS region and enables connections to Amazon Bedrock or preferred model providers.
Amazon Bedrock AgentCore Web Search now supports per-request domain and publication-date filters. Developers can control which websites agents use and require fresher sources, with filtering enforced server-side.
AWS outlines enterprise patterns for operating many agentic AI systems across diverse frameworks, models, and providers. The guidance focuses on preserving flexibility and enabling multi-agent systems to scale together without vendor lock-in.
AWS presents its portfolio of vector search capabilities embedded in existing databases and storage services, eliminating the need for a standalone vector database or data migration. The post compares six purpose-built services and provides a framework for selecting the right vector engine.
Amid lawsuits, executive departures, and preparations for an IPO, Greg Brockman has emerged as an increasingly powerful figure at OpenAI. The article analyzes how the co-founder and current president has consolidated influence over the company’s engineering and strategic direction.
The FDA has approved Aletta, a robot that can locate a patient's vein, insert a needle, and draw blood without direct human assistance. The system could help address shortages of trained phlebotomy staff.
Apple Machine Learning studies how to mix scarce target-domain data with abundant generic data during language-model pretraining. Across more than 2,000 training runs, the research examines the trade-off between insufficient target exposure, repeated examples, diminishing returns, and overfitting.