The battle for the "big brother" of the AI ​​Agent framework: AI16Z has obvious first-mover advantage, and Swarms has more potential for development

Author: Jessy, Golden Finance

Recently, AI16Z founder Shaw launched Fud on Swarms, an AI Agent project on the X platform. He stated on his X platform that the founder of Swarms is a liar and cannot write code.

Affected by this news, Swarms' project token SWARMS fell by more than 20% in 24 hours, but it still maintained a 7-day increase of more than 400%. The current market value of the token is nearly US$300 million.

In addition to the positive attack by the founder of AI16Z, which caused quite a stir in public opinion. During this period, Swarms and AI16Z have been constantly controversial on Twitter, and their differences in technical architecture and applications have also triggered extensive discussions.

Although the AI ​​Agent track is currently a blue ocean, the competition is also very fierce, especially the leading Virtuals Protocol and AI16Z ecological projects occupy more than 50% of the market value of this track. For a project that does not rely on these two "AI Agent groups", how did Swarms break out of the siege? Is there anything innovative and unique about the project itself? And is its founder Kye Gomez really a liar who can't even write code, as Shaw said?

Swarms from Web2 to Web3

Swarms was launched in 2022 by 20-year-old Kye Gomez. It is a multi-agent LLM framework for developers. The project uses intelligent orchestration and efficient collaboration to allow multiple AI Agents to work together like a team to solve complex businesses. Operational requirements. The framework provides powerful expansion capabilities, supports seamless integration with external AI services and APIs, and provides long-term memory functions for AI Agents to enhance context understanding.

In its latest white paper, it explains in detail the concept and uniqueness of Swarms. According to the content of its white paper, Swarms is a multi-agent collaborative AI Agent, which is different from individual agents such as GPT-4. The large oracle model, although this kind of individual agent is powerful, has significant limitations in handling complex tasks. Multi-intelligent collaborative AI Agents like Swarms allow agents to collaborate with each other and professionally divide labor. Each agent focuses on the tasks it is good at, thereby improving overall efficiency.

Swarms' algorithms are designed to solve many challenges in multi-agent collaboration, such as task allocation, resource management and coordination. Through the Swarms algorithm, agents can quickly exchange information and automatically assign tasks according to task requirements and their own capabilities to ensure that each task is performed by the most suitable agent.

It can be seen that the core concept of its operation draws on collective intelligence systems such as bee colonies and ant colonies in nature, and introduces this efficient collaboration model into the field of artificial intelligence, emphasizing seamless cooperation between multiple AI agents to handle complex tasks.

The token of the project is SWRAMS, which is a universal currency for transactions and collaboration between agents. Agents can use SWRAMS coins to pay service fees, obtain data resources, participate in market transactions, etc.

In the design of this project, the Swarm algorithm provides key support for agent collaboration, and SWARMS coins, as the universal currency of the agent economy, play an irreplaceable role in promoting agent transactions and motivating agents to participate in economic activities. According to the latest news released by the project team, in the upcoming new features, users can use SWARMS tokens to buy and sell agents.

According to Kye Gomez, currently, more than 45 million AI Agents have been born thanks to the Swarms development framework, providing efficient solutions for many industries such as finance, insurance, and medical care.

At first, the project was just a Web2 AI Agent project. According to the founder, the project has been running for three years. The project will only issue coins on December 18, 2024, which means that at this moment, the project has officially moved from Web2 to Web3.

This project currently has a very high community voice among many AI Agents, which is inseparable from the project concept and innovation of its products. At present, people in the AI ​​industry generally believe that the next stage of AI Agents is group collaboration (Agent Swarms). ), achieving more efficient work through communication and cooperation among multiple agents. This approach allows agents from different frameworks to interact and leverage their expertise to perform better in specific tasks and scenarios. And Swarms has stepped on this billion-dollar development trend.

Another reason that makes its project so popular and hard to ignore is that the founder of the project, Kye Gomez, is a very controversial figure.

The controversy behind the genius founder

Kye Gomez, the core founder of Swarms, is known as a "genius boy" in the field of artificial intelligence. In his self-report, he said that he dropped out of high school, and his experience of developing Swarms and successfully running 45 million AI Agents in three years attracted people. people's attention and curiosity.

Not only did he start up the Swarms project, but according to data, he also has other outstanding projects and research results in the field of AI. For example, in Agora, an open source AI research laboratory, he has set his sights on the combination of AI, biology, and nanotechnology, providing technical support for the intersection of these two frontier fields. In addition, he developed Pegasus, a project focusing on natural language processing and embedding models; at the same time, he also participated in the open source implementation of AlphaFold3, providing tool support for research in the field of biology.

In his autobiography, Kye Gomez writes, “I grew up in Hialeah, one of the worst cities in Florida, a fourth world hell with all kinds of crime. I never finished high school. In fact, I was kicked out of three high schools.

After high school, I never went to college. I just had an office in Doral, a small town in Miami. And, I acquired the PyTorch skills to implement research papers without code, because researchers in large academia and large industry did not want to open source their code.

Then when some of these implementations became popular because they were actually useful, like Tree of Thoughts, I got brutally attacked by the AI ​​elitists who wanted all the attention and credit that didn't belong to their work, like now the people at Tree of Thoughts and OpenAI people.

Since last year I have implemented models for hundreds of research papers for free with no reward other than endless verbal harassment from the elite and their rulers. "

In his self-narration, we can see that Kye Gomez, as a young man from a "small town", has high talent, but over a long period of time, through his talent, he has been able to compete in AI, a track full of elites. Get your place.

This passage may explain why Swarms has been deeply involved in Web2, but recently switched to Web3. Web3 can even enable it to realize "realization of talents." Facts have proved that its choice was correct. Swarms came out and its current market value has reached US$300 million.

According to media reports, Kye Gomez began learning programming at the age of 10 and applied his newly acquired programming knowledge to games. The game also allowed Gomez to finally understand artificial intelligence. Gomez told the media that when he was 13 years old, he created his first artificial intelligence model to hack his mother's Gmail account and obtain PlayStation codes to make purchases in the platform's store. Since then, Gomez has become obsessed with artificial intelligence and data science. Previously, he also developed an artificial intelligence assistant based on Slack through APAC AI.

The earliest time Kye Gomez got out of the circle was not because of the products he released, but because Kye Gomez questioned Open AI's new products for plagiarizing Swarms. In 2024, openAI released an open source product - the Swarm framework, which is used to build , orchestrate and deploy multi-agent systems. Seeing the product, Kye Gomez said, "The Swarms framework is the first-ever production-grade multi-agent orchestration framework. OpenAI stole our name, code, and methods. Everything from the syntax of the agent structure to the Swarm class object. All from our code base."

Kye Gomez publicly questioned Open AI's theft, but it did not arouse public support for him. Some netizens dug up his history of cheating and said that judging from the README documents released by both parties on Github, OpenAI is obviously more reliable. a little. The general trend of public opinion is that Kye Gomez insists on plagiarism and is suspected of plagiarism. Open AI did not respond to Kye Gomez’s plagiarism concerns.

The dispute between Swarms and AI16Z

Faced with the rapidly growing project of Swarms, Shaw, the founder of AI16Z, could not sit still. He said on X that the founder of Swarms was a liar and could not write code. However, netizens were not impressed by Shaw's remarks and mostly told Shaw to "take care of himself."

At present, AI16Z ecological projects are undoubtedly the most popular in the AI ​​Agent track. Its founder, Shaw, also has enough voice in the industry and is called the Godfather of AI.

His doubts about Kye Gomez undoubtedly triggered heated discussions. The discussion in the community is not only about Kye Gomez itself, but also involves the comparison of the two products. The comparison between the two mainly focuses on Eliza and Swarms. Eliza is an open source modular architecture developed by Shaw. It is mainly used to create AI Agents that can interact seamlessly with users and blockchain systems.

AI16Z is designed based on this framework, and AI16Z itself has become a representative project of the AI ​​Agent framework.

The most significant difference between the two products is that Eliza is aimed at a single AI Agent, while Swarms is aimed at coordination among multiple AI Agents. To explain the difference between them for developers in more popular terms, Eliza is an AI Agent development framework, and developers can only quickly build an AI Agent project according to this framework. Swarms provides some tools for developers. Developers who want to use Swarms to create AI Agents can use these tools and experience to create their own AI Agent projects that are not so highly unified. Swarms is aimed at What is important is the collaboration between AI Agents.

It can be said that Eliza is the present of blockchain AI Agents, while Swarms is the future of AI Agent development. This is also the imaginative part of Swarms.