How Included Health Built Federated Healthcare Agents with LangGraph and Deep Agents
Included Health built Dot, a federated healthcare navigation agent on LangGraph and Deep Agents with human handoff and clinical oversight built into the loop.
18 articles · 4 categories
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Thursday, Sep 17, 2026
18 articles · 4 categories
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OpenAI classified GPT-6 Astra at the Critical tier for cybersecurity under its Preparedness Framework — a first — after testers found it could surface unknown vulnerabilities in a browser and an OS kernel. The same day, researchers documented a DeepSeek-powered agent automating attacks and harvesting nearly 17,000 credentials, a reminder that agentic capability cuts both ways.
Production engineering kept moving in parallel: healthcare, financial-services, and coding-agent teams all published real deployment details, while Chinese labs pushed harder on self-built inference infrastructure and Wall Street kept signing deals with Moonshot despite the geopolitical friction elsewhere in today's news.
Five case studies today show agents doing real production work — healthcare navigation, financial-services self-service, benchmarked infra tuning, and a full framework rewrite — with human oversight and measurable tradeoffs, not demos.
Included Health built Dot, a federated healthcare navigation agent on LangGraph and Deep Agents with human handoff and clinical oversight built into the loop.
MRH Trowe gave roughly 400 employees secure self-service AI agents in their first month of production, built on AWS Strands Agents.
Databricks argues the web search tools agents inherit from browsers weren't built for agentic retrieval, and lays out what agent-grade search needs instead.
Elastic let an AI agent optimize Elasticsearch's own code, benchmarking every proposed change before merge to keep the agent's output honest.
GitHub used Copilot itself to port the Copilot agent runtime to 800,000 lines of Rust, a rewrite the team says wasn't affordable before agentic coding.
OpenAI raised its own bar for what counts as a critical safety threshold, while researchers flagged new abuse surfaces in agent memory and a named case of agent-driven credential theft.
OpenAI classified GPT-6 Astra at the Critical tier under its Preparedness Framework for cybersecurity, a first, after expert-led testing found it could surface previously unknown vulnerabilities in a browser and an OS kernel.
Simon Willison flags a new injection vector: an agent's own compaction summaries can carry self-generated prompt injections forward into later context, drawing on OpenAI's new model-misalignment reporting.
Researchers documented BlackHatSect0r using a DeepSeek-powered agent to automate attacks and harvest 16,834 credentials, one of the first named agentic credential-harvesting campaigns.
Reuters reports a US government website deployed a Chinese AI search tool the FBI says copied Anthropic's technology, raising supply-chain and IP concerns for agencies procuring AI tools.
Chinese labs pushed harder on self-built inference infrastructure and coding-benchmark bragging rights than on new frontier capability today.
Z.ai says its GLM model helped build its own inference infrastructure, pitching recursive self-improvement as more immediate than AGI.
Z.ai detailed running GLM-5.3-Flash inference on a cluster of 100,000 domestically made Chinese chips, a claim about chip self-sufficiency as much as about the model.
DeepSeek published kernel-level optimization work, continuing its pattern of releasing infra internals alongside model updates.
A benchmark comparison puts an 11-point gap between DeepSeek V4 Pro and Qwen3-Coder/Devstral on coding tasks, the kind of open-weight coding-model leapfrogging that's become routine this year.
Tencent open-sourced WeKnora, a knowledge-retrieval framework, bundling an official DeepSeek harness plugin.
Frontier labs and Chinese challengers both chased vertical and enterprise revenue today, while a hype-checking roundup flagged rising compute costs behind the scenes.
Moonshot AI launched a Kimi-based financial services product aimed at banks, extending its enterprise push beyond chat.
Moonshot AI landed major Wall Street deals, signaling US financial institutions will work with Chinese model providers despite the geopolitical scrutiny elsewhere in today's news.
A Latent Space roundup notes Databricks' Astra-related compute costs rose more than 60% and that Steve Yegge shut down his Gas Town project, a reality check against AI-news hype.
OpenAI launched Astra for Law, bringing frontier-model access, firm-specific workflows, and legal-grade confidentiality controls to law firms, its latest vertical push for the Astra model family.
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