retraining

Emad Mostaque discusses how AI-driven roles like forward-deployed engineers are reshaping the job market, emphasizing the need for retraining plans to address the rise of digital doubles.

The author suggests that retraining humans may become obsolete in future technological revolutions as machines can adapt faster.

This paper argues that standard output-level evaluations of machine unlearning overestimate success, showing that methods can appear successful at the output layer while retaining structured representation-level discrepancies relative to retrained models. The authors propose retraining-consistent representation forgetting as a stronger evaluative lens.

The founder of JD.com stated that robots will eventually replace all 700,000 of the company's delivery workers, but offered retraining for some to maintain the robots.

The author argues that the fundamental problem with AI agents lies in LLMs failing to leverage agent environments, requiring separate retraining for each environment and version, which may create release cycle conflicts.