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Flyctor Robot Evolution Simulation

A description of a robot named Flyctor that uses GPT-6 Astra for sensory processing and a fly-brain simulation to learn navigation through reinforcement learning rules.

Prompt
Implement a simple rule for the Flyctor robot: Every time it reaches a target without hitting anything, reinforce the behavior that got it there. Every time it gets stuck, crashes into furniture, or drives in circles, reduce the weight of that behavior. Use GPT-6 Astra to turn video into simple sensory signals and a reconstructed fly-brain simulation to choose the next movement.

How to use this prompt

  1. 1

    Copy the full prompt above.

  2. 2

    Open a platform that supports GPT 6 Astra, such as YouMind, and paste the prompt in.

  3. 3

    Swap the subject, style, or details to fit your idea, then generate.

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