selfimproving

Self-improving refers to processes by which a person or system enhances its own capabilities. In humans, it denotes intentional efforts to increase skills, knowledge, health, and well-being through learning and behavior change. In technology, it describes systems designed to modify their own structure or parameters to achieve better performance.

In humans, common domains include cognitive performance, emotional resilience, physical health, productivity, and social skills. Effective self-improvement relies on clear goals, deliberate practice, feedback, and habit formation. Techniques such as spaced repetition, goal setting, time blocking, journaling, and accountability partnerships are frequently used.

In artificial intelligence, self-improving or self-modifying systems strive to improve by altering code, models, or objectives. Research areas include meta-learning, automated programming, and neural architecture search. While such systems hold potential for rapid advancement, they raise concerns about unintended behavior, safety, reliability, and value alignment.

Historically, self-improvement has roots in psychological theory and the modern personal development movement. Benefits are supported for some domains, though outcomes vary and progress can be nonlinear. Critics note the risk of overemphasis on individual responsibility and the potential neglect of structural factors.