adaptability

This essay explores the need for malleable software to restore user agency, contrasting the flexibility of physical environments with the rigidity of mass-produced digital tools and discussing implications for work and creativity.

This paper investigates how LLMs' internal priors affect zero-shot annotation performance, finding that nearly two-thirds of errors resist prompt-based correction and introducing Definition-Specific Familiarity as a better predictor than memorization metrics.

A reflective post on how quickly opinions in AI change, cautioning against rigid beliefs and emphasizing adaptability over perfect prediction.