Jessy, Jinse Finance
Recently, AI16Z founder Shaw launched a Fud to an AI Agent project Swarms on the X platform, saying on his X platform that the founder of Swarms is a liar and can't write code.
Affected by the 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%, and the current token market value is nearly 300 million US dollars.
In addition to the direct confrontation of the founder of AI16Z, which caused a lot of public opinion storms. During this period, Swarms and AI16Z have been controversial on Twitter, and the differences between the two in technical architecture and application have also triggered widespread discussion.
Although the AI Agent track is a blue ocean at present, the competition is also very fierce, especially the top 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 through the siege? What is 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 by Kye Gomez, who is currently 20 years old, in 2022. It is a multi-agent LLM framework for developers. Through intelligent orchestration and efficient collaboration, the project allows multiple AI Agents to work together like a team to solve complex business operation needs. 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 contextual understanding.
In its latest white paper, the concept and uniqueness of Swarms are explained in detail. According to the content of its white paper, Swarms is a multi-agent collaborative AI Agent, which is different from individual agents such as large prediction models such as GPT-4. Although such individual agents are powerful, they have significant limitations in handling complex tasks. Multi-intelligence collaborative AI Agents such as Swarms allow agents to collaborate with each other and specialize in division of labor. Each agent focuses on tasks that it is good at, thereby improving overall efficiency.
Swarms' algorithm is 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, introduces this efficient collaboration model into the field of artificial intelligence, and emphasizes seamless cooperation between multiple AI agents to handle complex tasks.
The token of the project is SWRAMS, which is actually a universal currency for transactions and collaboration between intelligent agents. Intelligent agents can use SWRAMS coins to pay service fees, obtain data resources, participate in market transactions, etc.
In the design of the project, the Swarm algorithm provides key support for intelligent agent collaboration, and SWARMS coins, as the universal currency of the intelligent agent economy, play an irreplaceable role in promoting intelligent agent transactions and incentivizing intelligent agents to participate in economic activities. According to the latest news released by the project party, in the new features to be released, users can use SWARMS tokens to buy and sell agents.
According to Kye Gomez, at present, more than 45 million AI Agents have been born thanks to the Swarms development framework, providing efficient solutions for multiple 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 not issue coins until December 18, 2024, which means that at this moment, the project has officially moved from Web2 to Web3.
The 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 Agent is group collaboration (Agent Swarms), which achieves more efficient work through communication and cooperation between multiple agents. This method allows agents from different frameworks to interact and use their professional advantages to perform better in specific tasks and scenarios. And Swarms hits this billion development trend.
Another reason that makes the 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 autobiography, 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's attention and curiosity.
Not only did he start the Swarms project, but according to the information, he also has other excellent projects and research results in the field of AI. For example, in Agora, an open source AI research laboratory, he set his sights on the combination of AI and biology and nanotechnology, providing technical support for the intersection of these two cutting-edge 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 wrote, "I grew up in Hialeah, one of the worst cities in Florida, a fourth world hell where all kinds of crime are rampant. I never finished high school. In fact, I was expelled from three high schools.
After graduating from high school, I never went to college. I just had an office in Doral, a small town in Miami. And, I mastered 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 really useful, such as the Tree of Thoughts, I was brutally attacked by the AI elites who wanted to get all the attention and credit that did not belong to their work, such as the people of Tree of Thoughts and OpenAI now.
Since last year, I have implemented the models of hundreds of research papers for free, with no reward except endless verbal harassment from the elites and their rulers."
In his autobiography, we can see that Kye As a young man from a "small town", Gomez has a high talent, but he has used his talent to gain his own place in the elite track of AI for a long time.
This passage may explain why Swarms has been working hard in Web2, but recently turned to Web3. Web3 can better enable it to realize the "monetization of talent". It turns out that its choice is also correct. Swarms has come out and its current market value has reached 300 million US dollars.
In media reports, Kye Gomez began to learn programming at the age of 10 and applied the newly learned programming knowledge to games, which also allowed Gomez to finally understand artificial intelligence. Gomez once said in front of the media that at the age of 13, he created his first artificial intelligence model to crack his mother's Gmail account and obtain PlayStation codes to shop 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.
Kye Gomez first became popular not because of the products he released, but because Kye Gomez questioned whether Open AI's new product copied 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, "Swarms framework is the first production-level multi-agent orchestration framework in history. OpenAI stole our name, code and methods. From the syntax of the agent structure to the Swarm class object, everything comes from our code base."
Kye Gomez publicly questioned Open AI's theft, but did not arouse public support for him. Some netizens dug up his previous record of fraud and said that from the README documents published by both sides on Github, OpenAI is obviously more reliable. The general trend of public opinion is that Kye Gomez insisted on plagiarism and was suspected of fraud. Open AI did not respond to Kye Gomez's plagiarism suspicion.
The entanglement between Swarms and AI16Z
Faced with the fast-growing project Swarms, AI16Z's founder Shaw could no longer 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 asked Shaw to "take care of himself".
At present, AI16Z's ecological projects are undoubtedly the hottest in the AI Agent track. Its founder Shaw also has enough voice in the industry and is known as the godfather of AI.
His doubts about Kye Gomez have undoubtedly sparked heated discussions. The discussion in the community is not only about Kye Gomez itself, but more about the comparison between the two products. The comparison between the two is mainly focused on Eliza and Swarms. Eliza is an open source modular architecture developed by Shaw, which 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 an AI The representative project of the Agent framework.
The most significant difference between the two products is that Eliza is for a single AI Agent, while Swarms is for the coordination between multiple AI Agents. To explain the difference between them for development in more popular terms, perhaps it is that Eliza is an AI Agent development framework, and developers can only quickly build an AI Agent project according to this framework. Swarms, on the other hand, provides developers with some tools. Developers who want to use Swarms to create AI Agents can use these tools and experience to freely create their own AI Agent projects that are not so highly unified. Swarms is aimed at the collaboration between AI Agents.
It can be said that Eliza is the present of blockchain AI Agent, while Swarms is the future of AI Agent development. This is also the imaginative part of Swarms.