Hofstadter’s Law
A principle that states tasks always take longer than expected, even when considering Hofstadter's Law itself.
A principle that states tasks always take longer than expected, even when considering Hofstadter's Law itself.
A cognitive bias where people judge the likelihood of an event based on its relative size rather than absolute probability.
The tendency for individuals to give positive responses or feedback out of politeness, regardless of their true feelings.
The process of designing and refining prompts to elicit accurate and relevant responses from AI models.
A logical fallacy in which it is assumed that qualities of one thing are inherently qualities of another, due to an irrelevant association.
A cognitive bias where people ignore the relevance of sample size in making judgments, often leading to erroneous conclusions.
A type of bias that occurs when the observer's expectations or beliefs influence their interpretation of what they are observing, including experimental outcomes.
A cognitive bias where individuals with low ability at a task overestimate their ability, while experts underestimate their competence.
A recommendation system technique that makes predictions about user interests based on preferences from many users.