Recently released, AutoGPT is an AI agent even more advanced than ChatGPT. The name itself hints at the principle on which this model works: when given a task, this AI agent will try to solve it by piding it into subtasks by using various tools, such as the Internet, in an automatic loop.
In this article you will discover more about this new AI agent, how it works, why it is revolutionary and its advantages and disadvantages.
What is AutoGPT?
Released on March 30 of this year, AutoGPT has become an obsession on social media. It was developed by Toran game creator Bruce Richards and since its release to the world, social media has been talking about this new AI agent. One of the main reasons the internet is exploding with AutoGPT is because it is giving people their first look at artificial general intelligence (AGI).
As the world is discovering, AI represents a system capable of performing tasks by relying on human intelligence. On the other hand, AGI is an AI that can perform tasks using its reasoning, processes, and most importantly, its intellect. It exceeds human capabilities and functions as an autonomous system.
Simply put, AutoGPT uses other AI models, such as GPT-3.5 and GPT-4, uses their functionality and uses it for its purposes. While both GPT-3.5 and GPT-4 act autonomously, AutoGPT is an open source application that interacts with online software and services to perform tasks autonomously.
Why does AutoGPT need other AI models?
The GPT-3.5 and GPT-4 AI models are key to the functionality of the new AutoGPT AI model. Auto-GPT uses GPT-3.5 and GPT-4, as well as a companion robot, to tell these models what to do. If a user writes a request in AutoGPT, a companion robot uses GPT-3.5 and GPT-4 (along with other programs) to complete all the steps necessary to complete the user’s tasks or goals.
What can AutoGPT do?
AutoGPT’s autonomous capabilities are giving the world an early glimpse of what the future of AI could look like. Its capability comes from the ability to interact with services, software and applications like a web browser. Then, when given a certain suggestion (about creating a business, for example), you can come up with a business strategy that will benefit the user and even help create a website for that brand.
This is how AutoGPT works in a terminal. Users must specify up to five ways to achieve their goal, while also describing the agent’s name, role, and goal. I would again use GPT-3.5 for file storage and summarization and GPT-4 for text generation.
If AutoGPT encounters a problem that is preventing you from finishing a given task, it will develop new directions to determine the problem and what the next steps should be. People are already used to getting human-like responses from AI, but to get the result they want, AI models need a human or user to input cues that will execute that result correctly.
To make AutoGPT even easier to use, new applications have emerged, such as AgentGPT and GodMode. These applications provide a user-friendly interface, allowing users to directly input what they want to achieve directly on the browser page. AutoGPT can also make phone calls, but for this feature, this AI must be connected to speech synthesizers such as oncelabs.
Why is AutoGPT a powerful tool?
There are four reasons why AutoGPT is such a powerful tool and has become so popular in a short time.
GPT-3.5 and GPT-4
These two models are one of the reasons why AutoGPT can work autonomously. GPT3.5 and 4 help Auto-GPT think and reason. They are the “brain”.
Ability to learn
AutoGPT has an autonomous iteration feature. This means you can learn from your previous mistakes, access history, and then, reviewing your work, rework and update previous efforts to achieve better results.
A memory storage
This advanced AI is integrated with a vector database, meaning it can save context and “remember” past experiences. This is also helpful for AutoGPT to get better results.
Functionality
AutoGPT has a great set of capabilities, making it versatile and that is what makes this AI so powerful and better than previous AI models. It has multiple skills that help solve a variety of problems.
The difference between ChatGPT and AutoGPT
The first thing that makes AutoGPT better and more advanced than ChatGPT, or any other chat-oriented AI model, is AutoGPT’s multi-step project automation. With ChatGPT, for example, this requires round-trip directions.
Basic things like writing an email or debugging code can be done with ChatGPT, but also with AutoGPT. The latter, however, can finish even more advanced tasks with fewer prompts.
When we talk about which AI is better, there is no doubt that AutoGPT will take the title. ChatGPT is an excellent and very capable chatbot, but it has its limits. This AI only gives answers when prompted by prompts, but requires a human touch to complete a given task. On the other hand, AutoGPT, when given a certain command, can work throughout the entire process autonomously.
When we talk about access, ChatGPT takes the lead. It is much easier to access and is the best AI if you have a simple task. Although AutoGPT is available on GitHub, it has requirements that must be met, including configuration, installation, etc.
Limitations and risks of AutoGPT
AutoGPT is a powerful tool but it has limitations, risks and challenges. For example, AutoGPT may behave unexpectedly, for example getting stuck in its own loop. Then there is the existence of ChaosGPT, a chatbot model designed to generate chaotic or unpredictable outcomes, whose goal is to destroy humanity. These are just some of the problems with this AI.
High price
Since AutoGPT needs to perform multiple steps to complete a given task, it uses expensive GPT-4 in each step of that process. GPT-4 uses tokens (sections of words) to generate prompts. Using tokens comes at a price, and since you need prompts to start the process, it can all get expensive. For example, for a small task, it takes approximately 50 steps to complete. This will cost approximately $14. This also means that the cost will be much higher when a task requires a much larger number of steps.
Inability to serialize
The AutoGPT development process is complete when a goal is achieved and all steps or chain of actions are finished. However, there is no way to reuse that same action chain for another task. This means that whenever you want to solve a problem with this AI, you will have to start from scratch, even if the problems are similar.
Problem-solving abilities are limited
Sometimes AutoGPT can get stuck in a loop when trying to solve a problem. Even after many attempts and different chains of thoughts, AutoGPT cannot solve a task properly. The main reason why this happens lies in the limited functions of GPT-4 which, as we have explained, AutoGPT uses. The inability to decompose will cause problems, as well as reasoning abilities, in GPT-4 that are still inadequate.
The potential of AutoGPT and AI
The increased use of AutoGPT will undoubtedly revolutionize the world we live in. With its extensive features, the question is: Will AutoGPT replace people in certain jobs? It will surely have an impact on various industries and the future of work. With GPT-4 as a brain, it is designed to think like a human, solve tasks without human intervention, learn from its own mistakes and improve results.
Are you for or against AutoGPT and artificial intelligence? Have you used any of their models, like ChatGPT? Tell us in the comments section below.
