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

In early 2024, FLock.io, a rising star in the Web3 AI field, announced the successful completion of a $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.

So far, FLock.io’s total financing has reached 8 million US dollars. It is understood that this fund will be used to expand the team and advance its innovative artificial intelligence training platform, which is based on federated learning technology and aims to protect data privacy and promote decentralization.

In an interview with The Block, FLock.io CEO Jiahao Sun said that despite the successful financing, FLock.io’s board structure will remain unchanged after this round of financing, as the company is 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 implemented and promoted.

In the race for artificial intelligence (AI), a heavy obstacle is hindering the advancement and popularization of the technology: low public participation, insufficient privacy protection, and strict control over AI development and hosting by a few large companies.

Currently, innovation in the field of AI is severely hampered by centralized control. This control model means that decision-making power, data storage and control are concentrated in the hands of a few authorities. For example, large language model (LLM) providers like OpenAI are able to monitor all interactions between users and models, which not only threatens user privacy, but also limits model diversity and innovation. In addition, due to the overall control of centralized institutions, the lack of transparency and regulatory control of model output has led to increasingly prominent issues of model bias and inaccuracy.

Despite the challenges, the future of the AI industry remains promising. In 2023, investment in AI technology will reach a staggering US$25 billion, showing people’s strong confidence in AI becoming a trillion-dollar industry. The problems of decentralization and high threshold 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 of AI applications and reducing entry Threshold aspect. ,

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

Against this background, FLock.io emerged and is committed to revolutionizing the rules of the game created by AI through its community-driven, privacy-focused platform.

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 large companies on AI innovation 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.

Overall, 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 insights into the future development trends of crypto assets + AI.

FLock.io not only achieves technological innovation, but also solves a series of problems for users through its products and services, 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 diversity and richness of input sources while strictly maintaining data privacy standards;

2. Privacy-preserving data: By adopting cutting-edge technologies such as federated learning, zkFL, homomorphic encryption, and secure multi-party computation (SMPC), FLock.io ensures 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 models. This approach not only achieves scalability and 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 the power of community contribution;

5. Federated learning client: FLock.io provides developers with a federated learning client that supports decentralized model training and verification, emphasizing its commitment to data privacy.

As the AI ecosystem shifts from the centralized services of Web2 to the decentralized networks of Web3, FLock.io is at the forefront of this change, promoting the process of model training and fine-tuning by incentivizing decentralized data contributions and coordinating computing power within a decentralized framework, providing strong support for the development of the Web3 AI ecosystem.