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Who is the future of AI Agents, Swarms or the founder of AI16Z, Fud?
Jessy*, Golden Finance*
Recently, Shaw, the founder of AI16Z, spread FUD about an AI Agent project called Swarms on the X platform, stating that the founder of Swarms is a fraud and cannot write code.
Affected by this news, the project token SWARMS of Swarms has seen a decline of over 20% in 24 hours, but it still maintains a rise of over 400% in the past 7 days, with a current market value of nearly 300 million dollars.
In addition to the heated public debate sparked by the founder of AI16Z's direct confrontation, there has been ongoing controversy between Swarms and AI16Z on Twitter during this period. The differences in their technical architectures and applications have also triggered widespread discussion.
Currently, the AI Agent sector is a blue ocean, but the competition is also very fierce, especially with major players like Virtuals Protocol and the AI16Z ecosystem projects occupying more than 50% of the market value in this sector. How does Swarms break through as a project that does not rely on these two major "AI Agent groups"? What innovations and unique aspects does the project itself have? And is its founder Kye Gomez really the fraud that Shaw claims, a person who can't even write code?
Swarms Transitioning from Web2 to Web3
Swarms, initiated by 20-year-old Kye Gomez in 2022, is a multi-agent LLM framework aimed at developers. The project utilizes intelligent orchestration and efficient collaboration to enable multiple AI Agents to work together like a team, addressing complex business operation needs. This framework offers powerful scalability, supports seamless integration with external AI services and APIs, and provides AI Agents with long-term memory capabilities to enhance contextual understanding.
In its latest published white paper, the concept of Swarms and its uniqueness are explained in detail. According to the content described in its white paper, Swarms is a multi-agent collaborative AI Agent, which is different from individual agents like the large prediction model GPT-4. Although these individual agents are powerful, they have significant limitations when handling complex tasks. In contrast, multi-agent collaborative AI Agents like Swarms allow agents to cooperate with each other and specialize in their respective tasks, thereby improving overall efficiency.
The Swarms algorithm aims to address 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 allocate tasks based on task requirements and their own capabilities, ensuring that each task is executed by the most suitable agent.
It is evident that the core concept of its operation draws inspiration from collective intelligence systems in nature, such as swarms of bees and ants, introducing this efficient collaborative model into the field of artificial intelligence, emphasizing seamless cooperation among multiple AI agents to tackle complex tasks.
The project's token is SWRAMS, which serves as the universal currency for transactions and cooperation between its intelligent agents. Agents can use SWRAMS to pay for service fees, acquire data resources, participate in market transactions, and more.
In the design of this project, the Swarm algorithm provides key support for agent collaboration, while the SWARMS coin serves as the universal currency of the agent economy, playing an irreplaceable role in facilitating agent transactions and incentivizing agents to participate in economic activities. According to the latest news released by the project team, in the upcoming new features, users will be able to buy and sell agents using SWARMS tokens.
According to Kye Gomez, the Swarms development framework has currently given birth to over 45 million AI Agents, providing efficient solutions for multiple industries such as finance, insurance, and healthcare.
Initially, the project was just a Web2 AI Agent project. According to the founder, the project has been running for three years. The project only issued its tokens on December 18, 2024, which means that at this moment, the project officially transitioned from Web2 to Web3.
The project currently has a high community presence among numerous AI Agents, thanks to its product philosophy and innovation. At present, professionals in the AI industry generally believe that the next stage for AI Agents is collective collaboration (Agent Swarms), achieving more efficient work through communication and cooperation between multiple agents. This method allows agents from different frameworks to interact and leverage their professional advantages to perform better in specific tasks and scenarios. Swarms has tapped into this significant development trend.
Another reason that made the project immensely popular and hard to ignore is that the project's founder Kye Gomez is a highly controversial figure.
Controversies Behind the Genius Founders
Kye Gomez, the core founder of Swarms, is hailed as a "genius teenager" in the field of artificial intelligence. In his autobiography, he states that he dropped out of high school, and his experience of developing Swarms and successfully operating 45 million AI agents within three years has attracted people's attention and curiosity.
Not only has he launched the Swarms project, but according to the information, he also has other excellent projects and research achievements in the AI field. For example, in the Agora open-source AI research lab, he focused on the intersection of AI with biology and nanotechnology, providing technical support for the convergence of these two cutting-edge fields. In addition, he developed Pegasus, a project focused 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 where crime runs rampant. I never graduated high school. In fact, I was expelled from three high schools.
After graduating from high school, I never attended college. I only have an office in Doral, a small town in Miami. Additionally, I have mastered PyTorch skills, allowing me to implement research papers without coding, as researchers in both the large academic and industrial fields do not want to open source their code.
Then, when some of these implementations became popular because they were indeed useful, such as Tree of Thoughts, I faced brutal attacks from the AI elite who wanted to gain all the attention and credit for work that did not belong to them, like the people from Tree of Thoughts and OpenAI now.
Since last year, I have implemented hundreds of research paper models for free, with no return other than the endless verbal harassment from the elite and their rulers.
In his autobiography, we can see Kye Gomez as a young man from a "small town" who, despite having a high level of talent, spent a long time using his talent to carve out a place for himself in the elite field of AI.
This passage may explain why Swarms has been deeply involved in Web2, but recently shifted to Web3. Web3 allows it to achieve "monetization of talent" more effectively. It turns out that this choice was also correct, as Swarms has emerged successfully, with a current market value of 300 million US dollars.
In media reports, Kye Gomez started learning programming at the age of 10 and applied his newly acquired programming knowledge to games, which ultimately led him to understand artificial intelligence. Gomez stated to the media that at the age of 13, he created his first artificial intelligence model to hack into his mother's Gmail account to obtain PlayStation codes for shopping in the platform's store. Since then, Gomez has become obsessed with artificial intelligence and data science. Previously, he also developed a Slack-based AI assistant through APAC AI.
Kye Gomez's initial breakout was not due to the products he released, but because he questioned OpenAI's new product for plagiarizing Swarms. In 2024, OpenAI launched an open-source product — the Swarm framework — for building, orchestrating, and deploying multi-agent systems. Upon seeing this product, Kye Gomez stated, "The Swarms framework is the first production-grade multi-agent orchestration framework ever. OpenAI has stolen our name, code, and methodology. Everything, from the syntax of the agent architecture to the Swarm class objects, comes from our codebase."
Kye Gomez publicly questioned Open AI's theft, but it did not garner public support for him. Some netizens dug up his history of scams and pointed out that based on the README documents published on both sides on Github, it is evident that OpenAI is more reliable. The general sentiment in public opinion indicates that Kye Gomez's insistence on plagiarism raises suspicions of scamming. In response to Kye Gomez's allegations of plagiarism, Open AI has not replied.
The Entanglement of Swarms and AI16Z
Faced with the rapidly growing project Swarms, AI16Z's founder Shaw couldn't sit still either. He stated on X that the founder of Swarms is a fraud and cannot write code. However, netizens are not impressed by Shaw's remarks and are more inclined to tell him to "mind his own business."
Currently, the AI16Z ecosystem project is undoubtedly the hottest contender in the AI Agent field, and its founder Shaw holds significant influence in the industry, being referred to as the Godfather of AI.
The questioning of Kye Gomez has undoubtedly sparked a heated discussion among everyone. The discussions within the community are not only focused on Kye Gomez himself but more on the comparison between the two products. This comparison mainly centers around Eliza and Swarms, where Eliza is an open-source modular architecture developed by Shaw, primarily used for creating AI Agents that can seamlessly interact with users and blockchain systems.
AI16Z is designed based on this framework and has itself become a representative project of the AI Agent framework.
The most significant difference between these two products is that Eliza is targeted at a single AI Agent, while Swarms focuses on the coordination between multiple AI Agents. To explain their differences for developers in simpler terms, Eliza is a development framework for a single AI Agent, allowing developers to quickly build an AI Agent project within this framework. On the other hand, Swarms provides developers with tools; developers who want to create AI Agents using Swarms can utilize these tools and experiences to freely innovate their own, less standardized AI Agent projects, with Swarms focusing on the collaboration among 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.