Experiments pushing ChatGPT Code Interpreter limits
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This repository showcases creative applications and "jailbreaks" for ChatGPT's Code Interpreter, targeting users who want to push its boundaries for data analysis, image manipulation, and custom model execution. It demonstrates how to overcome limitations like no internet access and restricted package installation to run advanced tools like YOLOv8 and Haar Cascades.
How It Works
The core approach involves leveraging ChatGPT's ability to execute Python code within a sandboxed environment. Users interact by uploading files and providing detailed prompts that guide the model to perform complex tasks. The repository highlights techniques for bypassing restrictions, such as uploading .whl
files for package installation and using system prompts to influence behavior, enabling advanced computer vision and machine learning experiments.
Quick Start & Requirements
Highlighted Details
.whl
files) and run complex libraries like ultralytics
(YOLOv8).Maintenance & Community
The repository is community-driven, encouraging contributions for new prompts and improvements. It acknowledges work by Simon Willison and others in expanding Code Interpreter capabilities.
Licensing & Compatibility
The repository itself is licensed under the MIT License, allowing for broad use and modification. However, the experiments are conducted within ChatGPT, subject to OpenAI's terms of service.
Limitations & Caveats
Code Interpreter has inherent limitations: no internet access, a 100MB upload cap, and a stateful environment that resets if it crashes. The effectiveness of "jailbreaks" can change with OpenAI updates.
1 year ago
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