The Auto-GPT Phenomenon: Unlocking New Possibilities or Hastening our Doom?
For better or for worse, autonomous AI may be the first step towards AGI.
Just recently, a new breed of AI has gained the limelight, the so-called Autonomous AI.
While not a new concept, autonomous AI now has unprecedented accessibility thanks to the emergence of advanced large language models and open-source code, allowing anyone with an internet connection to experiment with these technologies (and boy, have they!).
Autonomous AI can be thought of as “AI with agency”.
Meaning you set the AI some high-level goals, and off it goes, figuring out how to achieve them.
And here’s the cool (or perhaps scary) bit,
The AI doesn’t just go about “figuring out” how to achieve the goals.
It actually attempts to “fulfil” them, using the various tools at its disposal, from web searches to writing the text and code for you, just as a real-life human assistant would do.
Want to find out more about your new “AI overlords”? 😱
Let’s dive in!
Disclaimer: I provide links to code and websites in this post and don’t claim that they are in any way safe or virus free. If you do click them, download and execute the code, or use the websites linked to, you do so at your own risk and accept the consequences of your actions!
As an aside, I promise this is not an overly technical post, but I need to give a little bit of tech background for those who want to dive deeper.
So if you’re not a computer nerd like me, bear with me for a few moments whilst I get some of the tech details out of the way!
Much of the recent Autonomous AI hype has focused on a few open-source projects, as follows:
AgentGPT - https://github.com/reworkd/AgentGPT
BabyAGI - https://github.com/yoheinakajima/babyagi
HuggingGPT (aka Microsoft’s JARVIS) https://github.com/microsoft/JARVIS
The code for these projects is all freely available on GitHub, spawning further thousands of “forks” of the original repo by other coders.
Here’s a graph showing the “star history” of the above projects on GitHub - star history is an indicator of how popular a particular project is on the GitHub platform:
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