Not-quite-human tastes: the stylized omnivorousness of LLM survey surrogates
Large-language models have proven to be remarkable if inconsistent parrots of public attitudes and opinions. The extent to which LLMs are able to produce reasonable approximations of cultural taste remains an open empirical question that becomes more urgent by the day, with market research companies already offering provisional `synthetic' survey panels and the contamination of standard survey data from LLM-generated responses. In this study, we build on past work on silicon sampling by extending considerations of its algorithmic fidelity and alignment to the domain of cultural consumption. We
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- PossiblePossibly related (embedding) · 49%Are Targeted Taste Recommendations and Machine Memory Actually Failing Us? - Connect Everything Collective | Media →
- PossiblePossibly related (embedding) · 47%Do Large Language Models Think Like Us? - Psychology Today →
