AutoGPT, BabyAGI, Jarvis: State of Artificial General Intelligence & Autonomous AI in 2023

May 5, 2023

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The current state of AI and the development of autonomous AI agents depicts a future not far from achieving Artificial General Intelligence (AGI). 

With the development of autonomous AI agents, recent advances in artificial intelligence have brought us one step closer to Artificial General Intelligence (AGI). It promises a transformative era for humankind that has the potential to revolutionize industries, economies, and societies.  

However, the reality of achieving it is still very much in its infancy. Charles J. Simon, Founder & CEO of Future AI, predicted that,

The emergence of AGI is likely to be gradual rather than all at once” and “AGI is inevitable and will arrive sooner than most people think, it could be a couple of years.

While we are still far from having true AGI in 2023, recent advancements in AI research have brought us closer than ever before. For instance, researchers reported that an “early version” of GPT-4 exhibits more general intelligence than previous AI models” and could reasonably be viewed as an incomplete version of an AGI system.  

The articles explore the state of Artificial General Intelligence (AGI) and autonomous AI in 2023 and recent AI agents programmed to perform tasks without human intervention. 

What is Artificial General Intelligence (AGI)?

Artificial General Intelligence refers to the theoretical development of machines that can reason, learn, and problem-solve in a way similar to humans. It is sometimes also referred to as Strong AI, as opposed to narrow or weak AI. 

Sam Altman from OpenAI states,

If AGI is successfully created, this technology could help us elevate humanity by increasing abundance, turbocharging the global economy, and aiding in the discovery of new scientific knowledge that changes the limits of possibility.

Recently, autonomous AI agents have emerged as fundamental building blocks on the road to AGI, which can revolutionize how businesses and organizations operate. These agents can function independently and learn from their surroundings to achieve business objectives. 

AI agents can generate instructions and actions for themselves without human guidance. They run a loop, constantly automating tasks which makes them highly scalable.

They offer numerous business advantages, including enhanced operational efficiency, cost-effectiveness, improved decision-making, and competitive AI advantage. 

Use Cases of Autonomous AI Agents

Autonomous AI agents have the potential to be used across different industries for a range of use cases. Let's explore some use cases of AI agents below.

1. Finance

Autonomous AI agents like AutoGPT can optimize investment portfolios, educate users on financial concepts, do financial research, and create trading bots. 

2. Market Analysis

Autonomous AI agents can be valuable for market analysis. They can quickly and efficiently analyze data independently and provide insights, aiding in making informed business decisions.

3. Code Execution

Autonomous AI agents like AutoGPT can write and execute arbitrary Python code to perform tasks. Such agents can automate tasks like web scraping, debugging, and controlling their memory.

4. Game Designing

Another use case of AI agents is game designing. An autonomous AI named Camel can be used to design games. It uses a role-playing approach and inception prompting to guide agents toward completing tasks aligned with human intentions.

Autonomous AI Agents

Autonomous AI agents have been around for a long time, but recently their popularity has surged with the rapid development and growth of AI technologies.

Let’s explore some of them.

1. Auto-GPT

Auto-GPT is an open-source, autonomous AI agent that can interact with software and services online using the latest text-generating models, such as GPT-3.5 and GPT-4 from OpenAI. 

How does it work?

AutoGPT uses unsupervised learning to understand patterns in the language and generate coherent text. Unlike other AI solutions, it can create human-like text answers without specific instructions. 

Key features

  • Memory management
  • Access to popular websites and platforms 
  • File storage and summarization 
  • Extensibility with plugins

2. BabyAGI

BabyAGI is an autonomous AI agent for task management that can create, organize, execute, and prioritize tasks. It can help boost productivity and efficiency not only in the workplace but in personal space too.

How does it work?

This Python script utilizes OpenAI and Pinecone APIs to manage tasks. BabyAGI uses OpenAI's natural language processing (NLP) and Pinecone to create and store tasks based on objectives and the outcome of previous tasks.

Key features

  • Task generation based on the results of previous tasks and predefined objectives. 
  • Task execution
  • Task prioritization 
  • Automated Brainstorming

3. God Mode

God Mode is an AI tool that can create tasks, respond to user prompts, and work on new tasks until it reaches its primary goal. This unique tool streamlines the automation of complex tasks that are time-consuming if done manually. 

How does it work?

God Mode works by taking user prompts and working on new tasks until the desired outcome is achieved. However, the user can approve or disapprove each step, allowing for redirection where needed. 

Key features 

  • AI agent deployment in the web browser
  • Task automation
  • Self-learning and self-improvement

4. Microsoft’s JARVIS, aka HuggingGPT

JARVIS offers enhanced multimodal text and image processing capabilities by incorporating open-source LLMs for images, videos, audio, and more. It seamlessly connects with various models like ChatGPT and t5-base to deliver superior results.

How does it work?

The architecture has two main components: the large language model (LLM) acts as a controller, and the Hugging Face platform conducts task execution. The unique feature of JARVIS is the "language-as-an-interface"  that allows multiple specialized AI models to work together.

Key features

  • Access to the internet
  • Access to files and data from various sources
  • Automated model selection for task execution

5. AgentGPT

AgentGPT is an open-source platform that allows users to develop autonomous AI agents for different internet-related tasks. It works self-sufficiently without continuous human input. 

How does it work?

AgentGPT works by combining different LLMs to research and produce results. It is based on the GPT-4 architecture, allowing agents to operate without human intervention. It doesn't require any detailed inputs or prompts to produce output. It can also assess the output to achieve even better results. 

Key features 

  • No code AI agent
  • Creation, configuration, and deployment of AI agents
  • Direct browser interface for task input

6. Web LLM

Web LLM is a novel project that brings the power of large-language models and chatbots to web browsers without relying on servers. Powered by WebGPU, this innovation enables developers to build AI assistants that run locally on browsers, addressing privacy and security concerns. 

How does it work?

Web LLM uses machine learning compilation (MLC) technology, including TVM unity, to compile and optimize models for client-side deployment. TVM Unity allows for Python-first interactive development experiences.

Key features

  • Open-source project
  • Client-side processing
  • Machine learning compilation (MLC)
  • Cross-platform deployment


CAMEL AI Agent, short for "Communicative Agents for Mind Exploration of Large Scale Language Model Society," is an innovative proposal for communication and collaboration between autonomous AI agents. 

How does it work?

Camel utilizes role-playing methodology and inception prompting to complete required tasks. It uses multiple agents for different roles, such as the task specifier that brainstorms tasks and the leader that uses those tasks to assist the assistant that will complete the task in return. 

Key features

  • Role-based agent collaboration
  • Multiple AI agent utilization 
  • Problem-solving between different AI agents

Current Limitations of Artificial General Intelligence (AGI)

While artificial general intelligence (AGI) systems, if developed, would have no limits, current AI systems face several limitations. Some of the most significant limitations include:

1. Lack of cognitive abilities

Current AI systems can perform several tasks, but they lack the cognitive abilities of humans, such as intuition, creativity, and emotional intelligence. These abilities are essential for adapting to new situations and solving complex problems.

2. Limited understanding of context

AI systems operate within a specific context defined by their programming and training data. They may struggle with understanding human language's nuances and implicit meanings, leading to errors and miscommunication.

3. Bias

AI systems can replicate bias if trained on biased data, including biased human decisions or historical inequities, which can influence AI systems' decision-making, even if sensitive attributes are removed.

4. Hallucinations

AI systems can generate false or misleading information that seems real, leading to hallucinations. AI model's limitations, inherent biases, or inadequate understanding of the real world can result in such outputs.

5. Limited problem-solving & decision-making skills

Current AI systems have limited problem-solving and decision-making skills due to their inability to apply common sense reasoning to new situations. They can only make predictions and decisions based on the data used for their training, making them inflexible and prone to errors when dealing with novel situations.

Build State-of-the-Art AI Solutions With 

Despite the current limitations of artificial intelligence, the potential of AGI to transform entire industries and drive innovation can't be ignored. As we head further into the era of autonomous AI agents, it is critical to embrace these advancements and continue to push the boundaries of what is possible. 

At, we are dedicated to harnessing the full potential of AI and delivering cutting-edge solutions that drive results for our clients. Our expertise lies in unlocking the full potential of AI to help businesses build state-of-the-art AI solutions. 

At Unleashing, AI-powered solutions are designed to drive new efficiencies, open growth opportunities, and enable innovative methods, minimizing time to market and maximizing business impact. 

From ML software development to GPT development, we offer various solutions tailored to address each client's unique challenges. Our experts are committed to delivering top-notch AI solutions that help businesses achieve their goals. 

Schedule a free call to learn more about our services, and let us design a scalable AI solution for your business. 

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