With a total of US$8 million in financing, can FLock.io democratize AI?

At the beginning of 2024, FLock.io, a rising star in the field of Web3 AI, announced the successful completion of a US$6 million seed round of financing. This round was led by Lightspeed Faction and Tagus Capital, with participation from well-known investment institutions such as DCG, OKX Ventures and Volt Capital. .

FLock.io’s total funding amount has reached $8 million. To expand the team and advance its innovative artificial intelligence training platform, which is based on federated learning technology and is designed to protect data privacy and promote centralization.

FLock.io CEO Jiahao Sun said in an interview with The Block that he was proud of the success of the management financing and that FLock.io’s board of directors organized this round of financing. will remain unchanged as the company is currently still in the Simple Agreement for Future Equity (SAFE) stage. FLock.io plans to use the funding to expand its team and accelerate the development of its artificial intelligence training platform.

The following is an introduction to the FLock.io project.

There are serious pain points in the AI ​​track, which prevents this imaginative technology from being promoted

On the track of artificial intelligence (AI), a heavy obstacle is hindering the advancement of the technology Progress and popularity: Low public participation, insufficient privacy protections, and tight control over AI development and hosting by a few large companies. These problems hinder the widespread application and development of AI technology. A balanced control method needs to be found that allows public participation while also protecting privacy, and the strict control of AI development and hosting by a few large companies

Currently, innovation in the AI ​​field is subject to centralized control Seriously hindered. This control model means that decision-making power, data storage and control are concentrated in the hands of a few authorities. For example, with large language models (LLMs) like OpenAI, providers are able to monitor all user interactions with the model. This not only threatens user privacy, but also limits model diversity and innovation. In addition, due to the comprehensive control of centralized institutions, the lack of transparency and supervisory control of model output has led to frequent problems of model bias and inaccuracy.

The AI ​​industry has always had challenges, but the future of AI technology is still full of hope. In 2023, investment in AI technology will reach a staggering US$25 billion, showing people's strong confidence in AI becoming a billion-dollar industry. Decentralization and high-frequency problems in the AI ​​field are gradually being identified and solved, and the introduction of blockchain and cryptocurrency technology provides new possibilities for solving these problems, especially in improving the interoperability and lowering the threshold of AI applications. aspect.

Intended to promote the democratization of AI, can FLock.io.io break the monopoly of large companies on AI technology

In this context, FLock.io emerged as the times require and is committed to using its A community-driven, privacy-focused platform that completely changes the rules of the game created by AI.

FLock.io is a revolutionary end-to-end AI co-creation platform that redefines the training, fine-tuning and inference process of AI models by integrating decentralized machine learning technology on the chain. This innovative platform not only empowers the general public to contribute knowledge and enrich AI models, but also promotes the democratization of AI technology while protecting privacy.

#FLock.io’s vision is to redefine the field of AI training through federated learning, a decentralized machine learning approach focused on data privacy. A core feature of the platform is the use of open rankings to stimulate the competitive spirit of the machine learning community and set rewards for training tasks of each model, thereby promoting the innovation and development of AI technology.

FLock.io’s vision is to democratize AI through three foundational pillars – community-owned models, privacy-preserving data, and decentralized computing. The platform successfully cultivates diverse AI models ranging from intelligent agents to complex trading and convergence bots, ushering in a new era of accessibility of AI tools.

FLock.io not only encourages the general public to participate in the contribution and fine-tuning of AI models, but also strives to break the monopoly of AI innovation by large companies and make AI tools more accessible and diverse. FLock.io's platform integrates multiple tools such as smart agents, trading and convergence bots, heralding the arrival of a new era of AI that is co-built and owned by the community.

In general, FLock.io is not only a promoter of AI technology innovation, but also a key force in the democratization process of AI. By lowering the barriers to participation, protecting user privacy, and promoting community-driven innovation, FLock.io is bringing unprecedented changes to the AI ​​field.

Take a look at FLock.io.io’s product and technological innovations, and gain insight into the future development trend of crypto asset AI

FLock.io not only achieves technological innovation, but also solves problems for users through its products and services A range of issues, including centralized control issues of AI models, access restrictions, model bias, and inadequate compensation of data contributors. By implementing decentralized learning, FLock.io ensures the security of user data while employing technologies such as zkFL, homomorphic encryption, and secure multi-party computation (SMPC) to provide additional protection for data privacy. The following introduces a series of technologies and product features of FLock.io.io:

1. Community-owned models: FLock.io encourages the community to actively participate in expanding and improving the knowledge base of AI models, ensuring the input source Diversity and richness, while strictly maintaining data privacy standards;

2. Privacy-protecting data: By using cutting-edge technologies such as federated learning, zkFL, homomorphic encryption and secure multi-party computation (SMPC), FLock.io Ensure that user data remains securely on the user's device, avoiding centralized data collection and potential abuse;

3. Decentralized computing: FLock.io uses decentralized computing power to train and fine-tune AI model, this approach not only achieves scalability, reduces costs, but also enhances security.

4. Co-creation platform: FLock.io’s co-creation platform allows the community to actively participate in the expansion and improvement of AI models. For example, the BTC-GPT project achieved 5,000 calls in just three weeks, demonstrating 5. Federated learning client: FLock.io provides developers with a federated learning client, supports decentralized model training and verification, and emphasizes its commitment to data privacy.

As the AI ​​ecosystem transitions from the centralized services of Web2 to the decentralized network of Web3, FLock.io is at the forefront of this change, by incentivizing decentralization Contribute data and coordinate computing power within a decentralized framework, promote the process of model training and fine-tuning, and provide strong support for the development of the Web3 AI ecosystem.

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