The AI battle is fierce, and perhaps decentralized data and LLMs will be the real Alpha and optimal solution.
Compiled by: 1912212.eth, Foresight News
The field of AI is advancing at an unprecedented pace, with new breakthroughs in large language models (LLMs) and generative AI opening up endless possibilities. Every week brings another groundbreaking upgrade to AI, and the pace of innovation is only accelerating, with billions of dollars pouring into the AI industry.
With so many innovations in AI and thousands of related companies, projects, and applications being launched, everyone is looking for the alpha in it. So where is the real lasting and irreversible value of AI? Which part of the AI stack would really benefit from decentralization?
The real Alpha lies in decentralized data and LLMs.
As AI models become more complex and commoditized, the need for data from diverse, high-quality, and compliant sources becomes acute.
Masa Network aims to combine decentralized data with open source LLMs - on Masa Network, every Internet user can become a data contributor and node worker, and receive token rewards while training AI models.
Everyone can be a data contributor: Decentralized data collection for AI
Data is the lifeblood of AI, directly affecting the performance, fairness, and reliability of models. As the competitive gap between AI models narrows, access to unique proprietary datasets becomes a key differentiator, directly determining whether developers can develop personalized and specialized AI applications.
Masa Network aggregates a large amount of proprietary user-generated data, including user preferences, behaviors, and digital footprints, including
User Consented Data: Users are able to become direct data contributors for training AI. This data is obtained directly from users through the Masa app, the Masa Chrome browser extension, and collected through Masa's extensive partner ecosystem. Users have full control over their data and can choose which data points to share and with whom.
User Aggregation Data: Enable users to become data node workers themselves and aggregate data through the Masa Oracle Network and the Masa Chrome extension. Masa's decentralized oracle network continuously crawls real-time structured data from public networks and social media platforms (such as Twitter) to enrich the AI data network.
Users can easily contribute their data through “quest-to-earn” on the Masa App, “surf-to-earn” using the Masa Chrome browser extension, “node-to-earn” using the Masa Oracle, or just live a digital life in Masa’s extensive partner ecosystem. All data collected by users is converted into “points”, which users can earn and then share in the Masa data marketplace to earn rewards.
Masa ensures that users have full control over their data and can choose which anonymized data points to share and with whom. This is achieved through the Masa zero-knowledge soul-bound token.
Proprietary data is the moat for AI developers. The Masa Data Network goes beyond publicly available data to enable truly unique and personalized AI models.
Everyone can become a node: decentralized LLM AI infrastructure
A world where anyone can play a key role in shaping the future of AI. With Masa's decentralized AI network, anyone can become an Oracle Node Worker, contributing their unused computing power (CPU and GPU) to fulfill requests from users and developers around the world. This decentralized actor-based model enables the network to support 3.7 million messages per second, ensuring high scalability and efficient request fulfillment.
Masa makes it easy for anyone to choose from a variety of LLMs such as phi-2, bakllava, llava, and milstra. These models are easily available on user-friendly platforms such as Hugging Face, so you can download them instantly and deploy them on Oracle Node Worker.
By running these open source LLMs, users will join the global community of Oracle Node workers who are making Masa's decentralized LLM infrastructure more diverse and powerful. This diversity is key to fostering innovation and enabling developers to create AI applications that cater to different domains and requirements.
Masa believes that the future of LLM infrastructure is decentralized. Here are the reasons:
Real-time access: Traditional AI models rely on periodic updates, which often results in outdated information. With Masa, developers can tap into a growing network of real-time data to detect trends, make predictions, and fine-tune models based on the latest datasets available on the internet.
Cost-effectiveness: Running open source LLMs on a decentralized network eliminates the need for expensive centralized infrastructure, thereby reducing costs for developers and businesses.
Fault tolerance: The decentralized nature of the network enhances its resilience, as the failure of a single node will not compromise the overall functionality of the LLM infrastructure.
Incentives: Oracle node workers are incentivized to contribute their computing resources by earning MASA tokens and fees for completing network requests. This incentive mechanism ensures a stable and growing supply of computing power to support the LLM infrastructure.
The more users join the Masa Network and become Oracle Node Workers, the more powerful the decentralized LLM infrastructure will become. This means that developers will be able to access a variety of open source models, drive innovation in the AI ecosystem, and be able to create groundbreaking applications.
in conclusion
Masa is changing AI through decentralized data collection and LLM infrastructure. Prior to the mainnet launch, Masa had over 1.3 million users and 42,000 oracle node workers on the testnet. Using Masa's decentralized data network and LLMs, developers can create differentiated, hyper-personalized AI applications powered by real-time data.