AWS has launched a Forward Deployed Engineering organization backed by a $1 billion investment to embed thousands of AI experts with customers for rapid agentic AI deployments. The model compresses timelines from months to days and builds lasting self-sufficiency so customers can operate independently after engagements end.
The model differs from traditional consulting by focusing on long-term outcomes rather than standalone projects or billable hours.
Agents reason over this graph so domain expertise lives in the customer's code rather than institutional knowledge that could depart with staff.
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Intel is working with RadixArk to optimize SGLang, an open-source inference stack, for Intel CPUs, GPUs, and accelerators. The November 12 release does not include a speed figure.
United is taking steps to stop unauthorized third-party AI agents from using customer accounts. The airline says those tools can expose logins and can make purchases, account changes, or mileage redemptions the customer did not intend.
IBM has released two experimental Granite 4.1 preview models trained to read and write LLMON, a markup language for model context. The 3 billion and 8 billion previews are meant to separate instructions from data, and the page calls that a learned behavior, not a guarantee.
Google has introduced Gemini 4 Hydrogen, priced at $1.50 per million input tokens and $7.50 per million output tokens. It is rolling out today in the Gemini app, Google Search, and the Gemini API, and it finishes tasks 2.5 times faster than Gemini 3.8 Flash at the default high setting.
Anthropic says self-hosted Claude Managed Agents is in private beta. The harness, sandboxes, credentials, and session history can run in a customer's own cloud or on-premise. Model requests can go to Anthropic, a cloud provider, or the customer's own gateway.
