Why You Need To Know About AutoGPTs

The Next Wave Of Generative AI

made by author in Midjourney

Do you ever have that feeling after reading or watching something that everything is about to change?

I had that feeling last year when I first read OpenAI’s announcement post on DALL-E 2. That’s actually the moment for me when I suddenly shifted my technology gaze toward this thing called Generative AI.

Since then, we’ve seen an explosion of innovation in generative content creation, with transformers that output text, images, code, and video. And no doubt, this content creation space will continue to progress rapidly.

But I had another one of those feelings several days ago.

And it wasn’t from a company blog, an event, or a release announcement. It was in my Twitter feed.

What I was witnessing was post after post of developers experimenting with something that is very new and different.

It was about the creation of autonomous AI agents, currently referred to as AutoGPTs.

The Rise Of AutoGPTs

AutoGPTs leverage OpenAI’s large language model, GPT-4, to automate multi-step projects that would have otherwise required back-and-forth interactions with GPT-4.

In simpler terms, AutoGPTs enable the chaining of thoughts to accomplish a specified objective and do so autonomously.

They have internet access with the ability to read/write files, and they possess short-term and long-term memory to understand what has been done.

To be clear… the goal of AutoGPTs is to “make GPT-4 fully autonomous.”

The three most popular AutoGPTs can all be found on Github, they are as follows:

1. BabyAGI by Yohei Nakajima
2. Auto-GPT by Toran Bruce Richards, who goes by the alias Significant Gravitas.
3. Jarvis by Microsoft.

In order to run these popular AutoGPTs, you need to install them locally, and that requires some kind of programming experience since it runs on Python and requires OpenAI and Pinecone API keys.

However, there are already AutoGPT apps that run on the browser, like AgentGPT and Cognosys…