RE: LeoThread 2025-09-12 12:20

More on data flywheel:

AI data flywheels work by creating a loop where AI models continuously improve by learning from the latest institutional knowledge and user feedback. As the system interacts with the environment, it collects feedback and new data, which are then used to refine and enhance the backbone models powering the AI workflows. This process involves curating and improving the quality of the data collected, using that to refine the underlying models, ensuring that the AI model’s accuracy and performance are consistently enhanced while optimizing the total cost of ownership (TCO) for running these AI workflows.