
Auto-GPT — which you might have seen creating an online frency recently — is a text-generating app that utilizes OpenAI's language models, mainly GPT-3.5 and GPT-4, to function independently. It was created by game developer Toran Bruce Richards and is an open-source app. The app is essentially a combination of GPT-3.5 and GPT-4 models with a companion bot that instructs them on what to do. A user sets a goal for the app, and the bot uses the models and various programs to carry out each step required to achieve the user's goal. What makes Auto-GPT useful is its ability to interact with online and local applications, software, and services like web browsers and word processors.
If you are using AutoGPT to generate text and want to ensure the safety of your computer and files, it is highly advisable to run AutoGPT within a virtual container environment. The reason for this is that AutoGPT is designed to autonomously generate text based on the patterns it has learned from a large corpus of data. As it generates text, it may inadvertently access websites that are malicious or contain harmful content. By running AutoGPT within a virtual container, such as Docker, any potential harm caused by malicious websites accessed by the model would be contained within the virtual environment and would not be able to affect your computer or files outside of the virtual machine. You may choose to use Windows Sandbox too; however. it gets "resetted" every single time you exit it. It does not save its state.
When it comes to using AutoGPT, the old adage 'better safe than sorry' certainly applies, and the best safety measure available is to run AutoGPT within a virtual container environment - ensuring that any unexpected output is contained and cannot harm your system
I attempted to have it produce a Chrome extension with some context menu functionalities, but it was unable to do so successfully.
I haven't been able to get it to impress me that much yet. I tried getting it to create a chrome extension with some context menu functions and it just couldn't get it to work. Maybe I need certain examples of its limitations
@jatacid What are the challenges that you faced? Let me know. I might be able to provide a solution.
Just I think reaching the limitations of the current models. Like getting it to build a chrome extension that had right-click context menu functionality that passed stuff to a popup window.
These models are basically just glorified auto-complete algorithms at this point so that cross document context is just really challenging for it to comprehend and complete coherently.
It's powerful on a per-function basis, or even a per-page - but I haven't seen it performing well across multiple pages or code files.
Chatgpt is also unable to generate runnable code for none trivial usecases.