The "Big Brother" Competition of the AI Agent Framework: AI16Z has a clear first-mover advantage, while Swarms has stronger development momentum.

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4 months ago

Author: Jessy, Golden Finance

Recently, Shaw, the founder of AI16Z, launched a FUD attack on an AI Agent project called Swarms on the X platform. He claimed that the founder of Swarms is a fraud and cannot write code.

AI Agent Framework "Big Brother" Controversy: AI16Z's First-Mover Advantage is Obvious, Swarms has Stronger Development Momentum

As a result of this news, the project token SWARMS of Swarms dropped over 20% in 24 hours, although it still maintained a more than 400% increase over the past week, with a current market cap of nearly $300 million.

In addition to the public uproar caused by the direct confrontation from the founder of AI16Z, there has been ongoing controversy between Swarms and AI16Z on Twitter, with their differences in technical architecture and applications sparking widespread discussion.

Currently, while the AI Agent sector is a blue ocean, competition is also fierce, especially with leading projects like Virtuals Protocol and AI16Z ecosystem projects occupying over 50% of the market cap in this space. How is Swarms, a project not relying on these two major "AI Agent groups," managing to break through? What innovations and unique aspects does the project itself have? And is its founder Kye Gomez really the fraud that Shaw claims, who cannot even write code?

Swarms Transitioning from Web2 to Web3

Swarms was initiated by 20-year-old Kye Gomez in 2022 as a multi-agent LLM framework aimed at developers. The project enables multiple AI Agents to collaborate like a team through intelligent orchestration and efficient cooperation, thereby addressing complex business operation needs. The framework offers powerful scalability, supports seamless integration with external AI services and APIs, and provides long-term memory functionality for AI Agents to enhance contextual understanding.

In its latest white paper, Swarms elaborates on its philosophy and unique aspects. According to the white paper, Swarms is a multi-agent collaborative AI Agent, which differs from individual agents like GPT-4. While 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, specialize, and focus on tasks they excel at, thereby improving overall efficiency.

The algorithms of Swarms aim to tackle various 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.

The core concept of its operation draws inspiration from collective intelligence systems in nature, such as swarms of bees and ants, bringing this efficient collaboration model into the field of artificial intelligence, emphasizing seamless cooperation among multiple AI agents to handle complex tasks.

The project's token, SWARMS, serves as the universal currency for transactions and collaboration among its agents, allowing them to use SWARMS tokens to pay for service fees, acquire data resources, participate in market transactions, and more.

In the design of the project, the Swarm algorithm provides critical support for agent collaboration, while the SWARMS token plays an irreplaceable role in facilitating agent transactions and incentivizing participation in economic activities. According to the latest news from the project team, users will soon be able to buy and sell agents using SWARMS tokens.

According to Kye Gomez, the Swarms development framework has already spawned over 45 million AI Agents, providing efficient solutions for various industries such as finance, insurance, and healthcare.

Initially, the project was just a Web2 AI Agent project, and according to the founder, it has been running for three years. The project only launched its token on December 18, 2024, meaning that at this moment, it officially transitioned from Web2 to Web3.

Currently, the project enjoys a high level of community engagement among numerous AI Agents, thanks to its product philosophy and innovation. Industry insiders generally believe that the next stage for AI Agents is collective 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. Swarms has tapped into this billion-dollar development trend.

Another reason for the project's explosive growth is the controversial figure behind it, founder Kye Gomez.

Controversy Behind the Genius Founder

Kye Gomez, the core founder of Swarms, is hailed as a "genius youth" in the field of artificial intelligence. In his own account, he states that he dropped out of high school, and his experience of developing Swarms and successfully running 45 million AI Agents in three years has attracted public attention and curiosity.

Not only has he launched Swarms, but he also has other outstanding projects and research achievements in the AI field. For instance, in the Agora open-source AI research lab, he focuses on the intersection of AI with biology and nanotechnology, providing technical support for these cutting-edge fields. Additionally, he developed Pegasus, a project focused on natural language processing and embedding models, and participated in the open-source implementation of AlphaFold3, providing tool support for research in biology.

In his account, Kye Gomez writes, "I grew up in Hialeah, one of the worst cities in Florida, a fourth-world hell with rampant crime. I never graduated from high school. In fact, I was expelled from three high schools.

After high school, I never attended college. I just have an office in a small town called Doral in Miami. I mastered PyTorch skills and can implement research papers without code because researchers in the large academic and industrial sectors 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 claim all the attention and credit for work that did not belong to them, like the people behind Tree of Thoughts and OpenAI.

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."

From his account, we can see that Kye Gomez, as a young man from a "small town," despite his high talent, has spent a long time carving out a place for himself in the elite-dominated AI field through his abilities.

This statement may explain why Swarms has been deeply rooted in Web2 but recently shifted to Web3. Web3 allows him to realize the "monetization of talent." It has proven to be the right choice, as Swarms has emerged, with its current market cap reaching $300 million.

Media reports indicate that Kye Gomez began 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 has stated in media interviews that at 13, he created his first AI 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 rise to fame was not due to the products he released but rather because he accused OpenAI of copying Swarms' work. In 2024, OpenAI released 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 stole our name, code, and methods. Everything from the syntax of the agent structure to the Swarm class objects comes from our codebase."

Kye Gomez's public accusation of OpenAI's theft did not garner public support; instead, some netizens dug up his past controversies and suggested that based on the README documents published on both sides on GitHub, OpenAI appeared to be more credible. The general sentiment was that Kye Gomez was making unfounded claims of plagiarism and had a history of controversy. OpenAI has not responded to the allegations of plagiarism against Kye Gomez.

The Entanglement Between Swarms and AI16Z

Faced with the rapidly growing project Swarms, AI16Z's founder Shaw could not sit idly by. He stated on X that the founder of Swarms is a fraud and cannot write code. However, netizens were largely indifferent to Shaw's comments, urging him to "mind his own business."

Currently, AI16Z's ecosystem projects are undoubtedly the hottest in the AI Agent sector, and its founder Shaw holds significant influence in the industry, being referred to as the "Godfather of AI."

His questioning of Kye Gomez has undoubtedly sparked heated discussions. The community's discussions are not only focused on Kye Gomez himself but also involve comparisons between the two products. The comparison mainly centers on Eliza and Swarms, with Eliza being an open-source modular architecture developed by Shaw, primarily for creating AI Agents that can seamlessly interact 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 these two products is that Eliza is designed for a single AI Agent, while Swarms focuses on coordination among multiple AI Agents. To put it more simply for developers, Eliza is a development framework for an AI Agent, allowing developers to quickly build an AI Agent project based on this framework. In contrast, Swarms provides developers with tools; those wanting to create AI Agents using Swarms can leverage these tools and experiences to freely create their own, less standardized AI Agent projects, with Swarms focusing on collaboration among AI Agents.

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

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