Developer transcribes Mafia game with ElevenLabs and LLMs

// 2h agoNEWS

Developer transcribes Mafia game with ElevenLabs and LLMs

In an interesting experiment shared on X, a developer used ElevenLabs' audio transcription and speaker diarization features to transcribe a recording of a recent Founders Fund Mafia game. They then fed the resulting transcript to Claude and GPT models to see if the AI could analyze the conversational cues and correctly predict which players were the mafia.

// ANALYSIS

This experiment highlights the creative potential of combining robust speech-to-text diarization with advanced LLMs for behavioral analysis.

–Demonstrates ElevenLabs' capability to accurately distinguish between multiple speakers in a complex group setting.
–Shows how LLMs can be tasked with analyzing human interactions and deception based solely on text transcripts.
–Offers a fun, unconventional use case for generative AI tools in social gaming contexts.

// TAGS

elevenlabstranscriptiondiarizationclaudegptllmexperiment

DISCOVERED

2h ago

2026-06-08

PUBLISHED

3h ago

2026-06-08

RELEVANCE

6/ 10

AUTHOR

ElevenLabsDevs

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