Socials Rising is an ecosystem that combines AI and Web3, supporting projects, creators, communities, investors, and new users to expand and optimize operations in the crypto market.
The project operates under an AI-as-a-Service model with personalized AI Agents, real-world data from the community, and a reward system using FAKE tokens and NFTs, offering a transparent, efficient, and sustainable approach in Web3.
MAIN CONTENT
Socials Rising is an AI x Web3 ecosystem that fully supports projects, creators, investors, and communities.
The operating mechanism consists of 4 steps: data collection, AI training, user connection, and value distribution.
The development plan extends to 2030 with the goal of creating real value of $100 billion and a fair distribution system.
What is Socials Rising?
Socials Rising is an AI x Web3 platform focused on supporting key groups in the cryptocurrency market, including project teams, creators, communities, investors, and new users.
Instead of operating under the traditional agency model, Socials Rising leverages AI to scale and optimize efficiency.
The project's strength comes from real-world data from over 130 creators, 50 guilds, 30 project teams, 10 agencies, and the Fake Friend NFT community, enabling the AI Agent to have deep training and real feedback.
What makes Socials Rising different?
The project focuses on building personalized AI Agents, integrating gamification, rewarding with FAKE tokens and NFTs, while maintaining a diverse community network. The AI-as-a-Service model is distributed for free to long-term NFT holders.
According to a report by Messari (2023), Web3 platforms integrating personalized AI can enhance community engagement performance by up to 60%, which is also the direction that Socials Rising is pioneering.
"We believe that AI is not just a supporting tool but a catalyst for making Web3 a more sustainable and transparent ecosystem."
CEO of Socials Rising, 2024
How does the Socials Rising model operate?
The mechanism consists of 4 steps: data collection, training AI Agents, connecting AI with users, and distributing value. Each step is linked to rewards and actual contributions from the community.
This approach creates a continuous data loop, ensuring AI quality while allowing users to benefit from their own participation.
Step 1 - Data Collection
Data is sourced from marketing campaigns, community activities, behavior analysis, content quality, and feedback. Users can contribute through bounties, contests, or events to earn rewards in FAKE or NFTs.
This crowdsourcing model was rated by Harvard Business Review (2022) as one of the most effective ways to train AI, especially in niche areas.
Step 2 - Train AI Agent
The data is then processed to train AI according to specific needs: fundraising support, community development, job finding for creators, or project analysis for investors.
The special point is the deep personalization capability, helping AI respond and provide solutions according to each user's actual situation.
Step 3 - Connect AI Agent with Users
The project provides AI Agents for development teams, creators, investors, and the community. Each group will have its own tools like fundraising, optimizing tokenomics, finding jobs, or participating in campaigns.
This ensures that AI is not just a 'virtual assistant' but also becomes a companion partner in the Web3 journey.
"In Web3, the personalization factor is key. An AI Agent that understands specific behaviors and needs will create exceptional value for the community."
Vitalik Buterin, co-founder of Ethereum, at a Web3 seminar, 2023
Step 4 - Distribute Value and Rewards
Users earn FAKE tokens from campaigns, interactions, and content contributions. This token can be exchanged for NFTs, access to AI Agents, or other rewards.
The transparent, decentralized distribution model ensures that actual benefits belong to the participants, not just concentrated in the development team.
What is Socials Rising's development plan by 2030?
The project aims to build an investment fund, education platform, accelerator, offline retreat, and Web3 startup tools. This is a strategy for scaling and enhancing sustainability.
Extending the roadmap to 2030 shows a long-term vision, distinct from many short-term Web3 projects. Socials Rising aims for a real value goal of $100 billion in the next 5 years.
"The future of Web3 needs long-term projects that are community-centered, and Socials Rising is on the right path."
Chris Dixon, Partner at a16z Crypto, 2024
How does Socials Rising distribute value?
The project redistributes value from AI back to the community, based on actual contributions. Participants are both users and owners of the ecosystem.
This is a step forward compared to traditional agency models, which are limited by human resources and lack transparency in benefit distribution.
Traditional Agency Criteria Socials Rising Scale Human resource and time limitations Unlimited thanks to AI Agent Value Distribution Focused on agency Decentralized, community-shared Transparency Hard to verify Has data, on-chain, and AI assessments
Frequently Asked Questions
Is Socials Rising free?
The project provides free AI-as-a-Service for long-term partners and Fake Friend NFT holders.
What role does the FAKE token play?
FAKE is used to reward contributions, exchange for NFTs, access AI Agents, and other rewards.
Where is the data for training AI sourced from?
The data comes from real campaigns, community activities, behavior analysis, and user feedback.
What long-term development plans does Socials Rising have?
The project aims to expand by 2030, including an investment fund, education, accelerators, and Web3 startup tools.
What is the value goal of the project?
Socials Rising aims to create $100 billion in real value in the next 5 years.
Source: https://tintucbitcoin.com/socials-rising-la-gi/
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