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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 presents three serverless patterns for invoking Amazon Bedrock AgentCore agents asynchronously from AWS Step Functions. Task-token callbacks, direct service integrations, and durable functions help eliminate idle compute costs while agents process requests.
KnowledgeForge converts resolved ITSM incident tickets into new knowledge base articles and continuously curates existing content. Its multi-tenant, closed-loop pipeline uses Amazon Bedrock, Amazon S3 Vectors, and AWS Step Functions for deduplication, quality scoring, and content improvement.
Cerebras launched the CS-4, its first system to combine three wafer-scale processors in a single rack. The inference-focused machine is shipping this quarter, with Cerebras claiming up to 30 times the speed of GPU-based systems for frontier models.
OpenAI released a ChatGPT for macOS plugin that integrates with Apple’s Messages app. Users can search past conversations, draft messages, and send them from Codex or ChatGPT Work chats, with approval required before sending.
Shuto Expressway struggled to expand generative AI adoption because employees were unsure what to use it for and the organization prioritized safety. By using Google Gemini and Gemini Notebook as a practical starting point, the company reportedly increased the number of users tenfold, including among senior employees.
ChatGPT's latest Mac update integrates with Apple Messages, allowing users to bring conversations from Apple's messaging app into the AI assistant. The feature expands ChatGPT's access to personal communication workflows on macOS.
Google AI研究の中心人物が相次いで退社し、「Geminiは終わった」と見る声が出ている。一方でGoogleは、最先端モデル単体ではなく、AIを社会全体に普及させる基盤として勝つ戦略を選んだ可能性がある。
Meta has made Pocket, its generative AI minigame creation app, available in the US. The company describes it as a platform for making and sharing “gizmos.”
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.