Polling has an AI respondent problem
Imagine you’re doing market research to advise a soda company on which flavor to emphasize in its next advertising campaign: regular cola or cherry? You might aim to find and survey a wide variety of potential customers online. But now there’s a quicker, cheaper alternative: Polling mainstays like Qualtrics and newer firms like Synthetic Users are proffering “silicon” respondents—large language models (LLMs) that will pretend to be lots of different people and answer questions based on how the m...