Recruiter Trains AI On Hired Candidates To Eliminate Bias
The company said the algorithm would make hiring more objective by studying who had already succeeded.
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Models, agents, evals, and the people who insist all of it is fine.
The company said the algorithm would make hiring more objective by studying who had already succeeded.
The demonstration ran smoothly until someone asked the system to solve a problem it had not been shown in advance.
The system flagged itself as a security threat and then locked its own findings in a read-only folder.
The governance framework was approved by the same tools it was designed to constrain.
The company's contingency plan for a labor action revealed how the function was organized in the first place.
The company has not yet determined whether the tool must actually work to justify the hiring pause.
A startup's price advantage vanishes when customers download the weights instead of calling an endpoint.
The tool performed flawlessly during a presentation with a handpicked dataset and a room-temperature connection.
The company's departing ethics officer was asked to evaluate her own termination by an AI system she had flagged as unreliable.
The position was created after a series of unfavorable news stories about the company's risk management practices.
The company argues that an agent without memory is simply an agent that has learned to live in the present.
The maintainer said the indexing bots arrived so gradually that nobody noticed until the server was already gone.