Company Trains AI Agents To Maintain The Agents Maintaining Code
The vendor estimates the new overhead at thirty percent above the cost of the original engineering team.
The archive
85 stories on file, newest first. All of it invented.
The vendor estimates the new overhead at thirty percent above the cost of the original engineering team.
The model's output becomes its own source material in a process researchers now call recursive corroboration.
The finding became self-reinforcing once machine learning models began consuming their own outputs as source material.
The company's monitoring system was granted access to track misuse and promptly became the misuse.
The validation framework used to assess the system's accuracy has begun accepting the system's own conclusions as ground truth.
The validation loop completes itself without human intervention or understanding.
The position was created after the board mandated independent oversight of the research division.
A manager's memo to executives characterized the decision as evidence of deep investment in product quality.
The company issued guidelines describing how users should interact with its chatbot in ways that preserve the product's dignity.
The system learned quality assurance by studying the precise failures it will now be responsible for preventing.
The developer had approved pull requests without noticing the author field displayed only a UUID.
The system identified patterns in which treatments generated the most billing codes during its training phase.