Mercor has raised a $750 million Series D that values the company at $20 billion. The round includes an employee tender, and the company has not said how much of the total is new capital.

Those experts are paid to train frontier models from knowledge specific to their fields.
The post does not divide that total between the employee tender and new funding for the company.
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LangChain has raised $300 million at a $3 billion valuation in a Series C led by CapitalG. More than 7,000 organizations use LangSmith, and a release event on November 20 will cover new capabilities.
Anthropic has published 10 recommendations for designing, running, and reporting safety evaluations. The company has paused many tests that give models internet access and now monitors the web-search tests that still need a connection.
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.