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JevMade field notes / Reproduction walkthrough

Test how AI assistants control a virtual robot arm

This project is a virtual laboratory that runs in a web browser. It lets people test how well different AI assistants control a simulated robot arm to complete tasks like moving or stacking blocks.

Original by FBddczEvaluation

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Credits

“EmbodiedJev · 行知” by FBddcz. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

This project is a virtual laboratory that runs in a web browser. It lets people test how well an AI assistant can control a simulated robot arm. Users can set up tasks, like moving or stacking blocks, to see if the software makes the right choices.

The software asks the AI to look at the virtual scene and pick its next move. It can use Jev, an AI tool that chooses from options rather than writing an answer. The physics program then carries out the action and checks if the robot successfully grabbed the object.

This tool is useful for researchers comparing different AI assistants on the exact same task. The default demonstration uses basic rules and makes no AI calls. Connecting to cloud-based AI requires a private access code and costs money. Results only show what happened in these specific tests.

Key takeaways

  1. Start with basic rules to check the virtual physics and tasks before connecting an AI assistant.
  2. Compare different AI assistants using the exact same task, and match the video playback by simulation time.
  3. Save your test records, and do not record zero costs if the AI connection drops.

The default demonstration runs on basic rules and makes no Jev calls. Connecting to cloud-based AI requires a private access code and may cost money.

Repository README · Source reviewed

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