Ramp Launches Router for Multi-Model AI Access
Ramp has launched Router, an AI model routing service that allows users and companies to access and switch between multiple large language models. The service is available through an API.
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Turn Natural Language into Agent Policies
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.
Onshape Adds MCP for Natural-Language CAD
PTC has launched the FeatureScript MCP Server for its Onshape CAD/PDM platform. Engineers can use natural language and AI to create custom CAD features.
Japan’s Open LLM Advances with 33B Model
Japan’s National Institute of Informatics has released LLM-jp-4 33B, a new version of its open domestic large language model. The approximately 33.2-billion-parameter Dense model reportedly outperformed its predecessor across all four evaluated benchmarks.
Ant Group Profit Stalls as AI Spending Rises
Ant Group’s quarterly profit barely grew after the company increased spending on artificial intelligence. The investments target healthcare, large language models, and payment services, while expansion costs also pressured results.
How LLMs Are Transforming Mental Health Care
This systematic review examines how large language models support mental-health applications, including social-media analysis, clinical conversational agents, therapy support, and psychoeducation. It also covers multimodal diagnosis, prompt engineering, interpretability, and the ethical and regulatory safeguards needed for responsible deployment.
Alipay Rewrites Commerce Around User Intent
Alipay is positioning its Abao agent as a new commerce gateway where services are selected and executed through natural-language intent rather than ads, search rankings, or app navigation. Abao has connected more than 10,000 AI-enabled services across eight scenarios, including transportation, dining, travel, logistics, and government services.
Scaling Laws for Data-Constrained Mixture Training
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.
Build GitLab Flows with Plain Language
GitLab 19.3 introduces the Flow Creator agent, allowing users to describe custom automations in plain language and receive complete, runnable flow definitions. The agent clarifies missing details before generation, while existing permissions and approval controls remain in place.
Federated Multimodal AI with NVIDIA FLARE
NVIDIA FLARE enables organizations to coordinate training for vision-language models while keeping sensitive image and text data at local institutions. The approach supports multimodal use cases such as visual question answering, captioning, and image-text reasoning without centralizing raw records.