Hype Check · Ras Mic
Worth your time?
I made AI play Among Us (Claude LIED LOL) by Ras Mic
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Hype score · lower is better
29/100
Useful but promotional
This video mostly demonstrates a fun, reproducible Among Us AI demo and explains limits, so it teaches and entertains more than it sells.
Receipts
Why this score
- Scored from the transcript, summary, and output signals.
Title deliveredTitle promises AI playing Among Us (and Claude lying); the video runs the AI simulation, reveals roles, and shows deceptive behavior, so it delivers.
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The short version
Kept by Clip'd
The creator used Anthropic's /goal feature to build a quick Among Us simulation where different LLMs play crewmates and an impostor. The video shows the game running (simulated movement, kills, and meetings), explains how /goal produced the system with one prompt, and evaluates when /goal is useful, mainly for prototyping and experiments, not production. The build used multiple models and 11 Labs for voice, and the creator argues /goal is powerful for idea exploration but limited by assumptions, token cost, and lack of handoff.
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What it teaches
- Use 'goal-directed' agent modes like /goal for rapid prototyping and ideation when you want the model to autonomously iterate until a completion condition is met. Apply this when you need a fast proof of concept, a playable demo, or to explore emergent behaviors across multiple agents. Do not use it for production feat
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Key moments
- 1:50Model roster revealed: lists the six models used (Claude Opus 47, Sonic 47, GPT4, Gemini 3 Pro, Claude Opus 46 Fast, Gemini Fast Latest), which frames the rest of the experiment.
- 2:17First kill by Opus46Fast: shows the agent behavior in a tactical moment, illustrating that models will fake tasks and opportunistically kill.
- 4:53Opus46Fast kills again and almost runs the table: a turning point where the impostor nearly avoids any meetings and controls the game flow.
- 5:41Meeting begins with fragmented responses: demonstrates models' limited conversational reliability during short, adversarial interrogation.
- 7:23Vote and impostor win: the simulation ends with the crewmates misvoting, proving emergent strategic outcomes can arise from the setup.
- 7:36Technical note, 11 Labs API used for voices: confirms the audio layer was synthesized via 11 Labs, an important integration detail.
Clip'd
Skip the video. Keep the lesson.
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