Synesis One: Democratizing AI with Crowdsourced Data

Synesis One stands out as a pioneering platform that aims to democratize AI through the power of community-driven data contribution. At Synesis One, the belief is that the power of AI should be in the hands of the many, not just a select few. By leveraging the Solana blockchain’s capabilities, Synesis One introduces an unexplored concept where anyone can participate in the AI revolution.

Synesis One is predicated on the belief that the collective efforts of individuals can significantly advance AI technology. By incentivizing the contribution of data, Synesis One empowers participants to play an active role in AI development while also ensuring that they reap the benefits of their contributions.

What is Synesis One?

Source: Synesis One website

Synesis One is a groundbreaking platform at the intersection of blockchain technology and artificial intelligence (AI). It is designed to democratize AI development by enabling a decentralized network of data contributors. The platform’s innovative approach allows individuals to contribute to the AI learning process, ensuring that the benefits of AI advancements are shared among all participants.

Synesis One’s mission is to create a more equitable AI landscape where data value is equitably distributed among those who contribute to its development. The vision extends beyond mere data collection; it encompasses the creation of a sustainable ecosystem where every participant is rewarded for their contributions to AI.

Data is the fuel that powers AI. Synesis One acknowledges this by providing a framework for incentivizing data contributors to supply high-quality data, which is essential for training robust and efficient AI models. Unlike traditional centralized AI development, Synesis One fosters a participatory environment. It leverages blockchain technology to ensure transparency and security, allowing for a trustless system where contributors can participate without concerns about data misuse.

Overview of the Synesis One platform

The Synesis One platform is a data crowdsourcing hub where individuals can earn cryptocurrency by completing micro-tasks contributing to AI training. It’s designed to be user-friendly, allowing anyone, regardless of their technical expertise, to participate in AI development.

Key Components of the Synesis One Platform

Micro-Tasking for AI Training

Users can select from various campaigns to provide raw data, labeling, or annotation. These tasks are integral to training AI models, and contributors are rewarded with $SNS tokens for their efforts.

Decentralized Crowdsourcing

The platform operates on smart contracts, ensuring transparency and fairness in the distribution of tasks and rewards. This decentralized approach aims to build the largest web3 community for crowdsourcing diverse and high-quality datasets.

Active and Passive Earning Opportunities

Synesis One offers two types of earning opportunities. Active earning involves directly participating in campaigns, while passive earning is possible through owning a Kanon NFT, which generates rewards whenever Mind AI clients use the associated unique word.

Staking Program

Users can stake their $SNS tokens to earn up to 8.5% APY, providing an additional incentive to hold and invest in the ecosystem.

Synesis One Ecosystem: Building a Web3 Community

Community Engagement

The platform encourages active community participation, allowing users to contribute not just data but also ideas and feedback that shape the platform’s evolution.

Governance

Token holders can engage in decentralized governance, proposing and voting on platform developments. This ensures that the direction of Synesis One aligns with the interests of its community.

Partnerships and Investors

Synesis One has established partnerships and attracted investors who share its vision of democratizing AI. These collaborations are crucial for the platform’s growth and expanding its capabilities.

Earning Opportunities on Synesis One

Synesis One’s ecosystem is a multifaceted network that offers various avenues for users to engage with and benefit from AI data contribution. It is structured to provide both active and passive earning opportunities through a decentralized platform that ensures transparency and fairness.

Active Earning Opportunities

Micro-Tasking for AI Training

Users can select from various campaigns to provide raw data, labeling, or annotation. These tasks are crucial for the training of AI models, and contributors are rewarded with $SNS tokens for their efforts.

Decentralized Crowdsourcing

The platform operates on smart contracts, which manage the distribution of tasks and rewards. This system aims to build the largest web3 community for crowdsourcing diverse and high-quality datasets.

Staking and Rewards

Users can stake their $SNS tokens to access the platform and participate in data yield farming. By staking, users can contribute their knowledge in a gamified way and earn $SNS tokens as rewards.

Passive Earning Opportunities

Kanon NFTs - The Passive Income Generator

Kanon NFTs represent unique words or phrases that generate $SNS tokens when used by Mind AI clients. NFT holders earn passive rewards whenever their unique word is used, creating a steady income stream.

Asset Transmutation and Fractionalized NFTs

Users can fractionalize their Kanon NFTs to lower the cost of entry and enable broader participation. This process allows users to stake their fractionalized NFTs and earn rewards through asset transmutation.

$SNS Tokens and Kanon NFTs: The Core of Synesis One

$SNS Tokens

$SNS tokens are the native cryptocurrency of the Synesis One ecosystem. They serve as a reward for contributors and can be used for transactions within the platform or traded on exchanges.

The Building Blocks of AI Training

Kanon NFTs are integral to the Synesis One ecosystem, providing passive earning potential and contributing to AI development. They represent ownership and contribution to the developed AI models, with each NFT tied to a specific word or phrase.

Synesis Train2earn Model

The Train2earn model is a cornerstone of the Synesis One ecosystem, providing a unique approach to AI training that rewards participants for their contributions. This model is designed to incentivize the creation of high-quality datasets, which are essential for developing sophisticated AI systems.

The Essence of Train2earn

• Empowering Contributors: Train2earn is built on empowering everyone to contribute to AI development. By providing tasks that range from simple data entry to complex problem-solving, Synesis One ensures that there is a role for everyone, regardless of their expertise level.
• Quality Assurance: A key aspect of the Train2earn model is the emphasis on the quality of data. Validators play a crucial role in this system, reviewing contributions to ensure that the data used to train AI models meets the highest standards.

Key Roles in Synesis Train2earn Model

Source: Synesis One website

The Synesis One Train2earn model is built upon the collaborative efforts of three distinct roles: Architects, Validators, and Builders. Each role plays a crucial part in the data crowdsourcing process, ensuring the creation of high-quality datasets for AI training.

Architects

These are the users who set up the campaigns and fund the rewards. They define the parameters and objectives of the tasks that will contribute to AI training. Architects are responsible for outlining the scope of the data needed, setting the standards for submission, and ensuring that the campaign aligns with the overall goals of the AI being trained.

Builders

These are users who perform the tasks outlined in the campaigns. They are the primary source of raw data for AI training. Builders contribute to the platform by providing labeled data, annotations, or other input forms. Their active participation is what fuels the AI training process.

Validators

These are users who review the submissions from Builders. They vote to approve or reject the submissions based on quality and accuracy. Validators ensure the integrity of the data collected. Their critical eye helps maintain the high standard required for effective AI training, making their role essential for the Train2earn ecosystem.

These roles are designed to complement each other, creating a balanced ecosystem where each participant contributes to the collective goal of advancing AI technology.

How to Train2earn on Synesis One

Step-by-Step Engagement

• The process begins with creating a Solana wallet
• Fund the wallet with SOL from an exchange such as Gateio
• Open the Synesis One website and click on “Open in browser”
• Users can then connect their wallets to the platform and start making money

Active Contribution

• Once set up, users can select from various campaigns that align with their skills and interests.
• The platform offers a variety of tasks, such as inputting variations of data, which are then used to train AI models.

Reward Structure

The reward structure in the Train2earn model is designed to be straightforward yet effective. Contributors are rewarded with $SNS tokens, which can be used within the ecosystem or traded on exchanges.

The Future of Train2earn

Synesis One is committed to continuously improving the Train2earn model. Feedback from participants is collected to implement enhancements and ensure the platform evolves to meet the needs of its users. The Train2earn model is designed with scalability in mind, aiming to accommodate an increasing number of participants and tasks. As the platform grows, so does the potential for more complex AI training and greater rewards for contributors.

The Technology Behind Synesis One

Synesis One is a platform and a technological innovation that leverages blockchain to revolutionize our interactions with AI. At its core, it utilizes the Solana blockchain, known for its high throughput and low transaction costs, making it an ideal foundation for Synesis One’s operations.

The Solana Blockchain Foundation

• High-Speed Transactions: Solana’s capability to process thousands of transactions per second addresses the scalability issues other blockchains face, ensuring that Synesis One can operate efficiently and effectively.
• Low Cost: With its Proof of History consensus mechanism, Solana ensures that transaction costs remain low, which is crucial for micro-transactions involved in the Train2earn model.

Decentralized Crowdsourcing and Smart Contracts

• Smart Contracts: Synesis One utilizes smart contracts to automate the process of task distribution and reward allocation. This ensures fairness and enhances security and trust among participants.
• Data Integrity: The decentralized nature of blockchain technology means that once data is submitted to Synesis One, it cannot be altered or tampered with, ensuring the integrity of the data used for AI training.

Team Behind Synesis One

The success of the Synesis One is due to the vast knowledge and experience of the team behind it. From seasoned technologists to strategic thinkers, each member brings a wealth of experience and a shared commitment to democratizing AI. Here is the team behind the project

• Isaac Bang - CEO: A seasoned technologist, Isaac Bang brings a wealth of experience in product management and strategy, particularly in blockchain, gaming, digital health, and AI. His recent role involved leading product development for crypto and NFT features at IMVU. He is an INSEAD MBA holder with a B.A. in Economics from UCLA.
• Joshua Hong - Cofounder & CSO: Joshua Hong is a serial entrepreneur in the internet media and blockchain space, as well as a venture capitalist. His background includes technology and corporate strategy consulting at Accenture and founding YPO’s Singularity University Seminar. He holds a B.S. in Industrial Engineering from Purdue and an MBA from the University of Chicago Booth School of Business.
• David Saccon - CTO: David Saccon’s engineering expertise spans software, web, and Internet infrastructure technologies. With 15 years at Ericsson and Redback Networks, he has a rich technical background. A committed BTC enthusiast, he co-founded an algorithmic trading firm before joining Synesis. He earned his B.S. in Electrical Engineering from Queen’s University (Canada) and an MBA from the University of Chicago Booth.
• Paul Lee - Cofounder: Paul Lee is a multifaceted clinician, scientist, and entrepreneur. As the founder and CEO of Mind AI and Co-founder of Synesis One, he brings a unique perspective to the team. His academic credentials include a degree from the University of Oxford and an M.D. from The School of Medicine at Catholic University of Korea. He is also a graduate of Futuremed and Exponential Medicine at Singularity University and co-founded JNP LAB in Seoul.
• Leo Maranan - Head of Community: Leo Maranan’s strategic expertise is in financial advisory and management consulting. He has a history of raising capital and crafting strategies for various organizations. His passion for blockchain was ignited through crypto games and community engagement. Leo holds an MA in Globalization and Development from the University of Antwerp and a B.S. in Management from ADMU.

Synesis One’s Impact on AI and Data Privacy

The platform’s approach to data handling and its implications for AI development are significant.

Transparent Operations

Synesis One’s blockchain foundation ensures that all transactions and data contributions are transparent and verifiable by all participants. This level of transparency is crucial in building trust within the community and providing fair compensation for data providers.

Streamlined Payments

Using $SNS tokens simplifies the payment process, allowing immediate and direct compensation for contributions without intermediaries.

Data Sovereignty

Synesis One empowers users by giving them control over their data. This is a departure from traditional models where data is often siloed within large corporations. The platform’s decentralized nature means users retain data ownership, contributing to a more equitable AI marketplace.

Democratizing AI Development

By incentivizing the crowd-sourced collection of data, Synesis One is democratizing the development of AI, making it accessible to a broader range of participants. This model can potentially reduce biases in AI, as the data comes from a more diverse set of contributors.

Fostering Innovation

With a more equitable approach to data ownership and compensation, Synesis One encourages innovation and participation from individuals who might otherwise be excluded from the AI industry.

Synesis One Tokenomics

Synesis One’s ecosystem is powered by the $SNS token, integral to platform operations, including governance, rewards, and incentives. With a total supply of 1 billion $SNS tokens, the initial distribution is designed to support the platform’s growth and reward its contributors and stakeholders.

Source: Synesis One Whitepaper

Initial Token Distribution

• Rewards Pool - 25%: Allocated for users actively participating in the platform, contributing data, and validating AI models.
• Team - 18%: Reserved for the dedicated team members developing and maintaining the Synesis One platform.
• Security and Maintenance - 15%: Ensures the ongoing protection and operational efficiency of the platform.
• Private Round - 10%: For private investors who contribute to the early funding and development stages.
• Treasury - 8%: Funds reserved for the long-term financial stability and sustainability of the platform.
• Seed Round - 7.14%: Allocated to early investors who supported the project’s initial phase.
• Shareholders - 4.2%: Recognizes shareholders’ contributions to the Synesis One ecosystem.
• Marketing and Partnerships - 4%: Used for marketing initiatives and forming strategic partnerships to expand the platform’s reach.
• Liquidity - 3%: To provide liquidity for $SNS tokens on exchanges, facilitating trading and price stability.
• Foundation - 2.66%: Supports the Synesis One Foundation in its efforts to promote the platform and its mission.
• Advisors and Consultants - 2%: Compensates advisors and consultants who offer strategic guidance and expertise.
• Public Sales - 1%: Tokens available for public sale, allowing broader community participation in the ecosystem.

Token Utility and Ecosystem Role

The $SNS token serves multiple purposes within the Synesis One ecosystem:

• Governance: Token holders can participate in decision-making, influencing the platform’s future direction.
• Staking: Users can stake $SNS tokens to secure the network and earn rewards, contributing to the platform’s stability.
• Rewards: Contributors earn $SNS tokens for participating in data tasks, incentivizing quality contributions.
• Transactions: $SNS tokens facilitate transactions within the platform, acting as the medium of exchange for services and rewards.

Conclusion

The future of AI looks promising with platforms like Synesis One, which prioritize data privacy, user empowerment, and community governance.

As Synesis One continues to evolve, it will undoubtedly play a pivotal role in shaping the landscape of AI development and data handling.