The swift advancement of artificial intelligence brings with it a stark truth: our AI models' quality is directly tied to the data they are trained on.
In the legal realm, a lawyer submitted made-up court cases, exemplifying the 'garbage in, garbage out' dilemma when using AI like ChatGPT. blindly trusting Incidents like these spotlight the severe issue of inadequate training data quality—a problem well-known among insiders for years.
As corporations widely adopt AI, it has become evident that the quality of training data is a crucial issue, highlighted by Google's Gemini producing flawed images and ChatGPT's tendencies to fabricate research material.
These are not mere slip-ups but indicators of a systemic issue: the questionable quality of data input into these sophisticated models.
Currently, much AI training relies on internet-sourced data, including from dubious and sometimes legally risky databases, leading to significant legal challenges.
Not only is the credibility of these data sources often doubtful, but their centralization under few tech behemoths raises concerns about transparency and accountability.
This is where Synesis One comes in.
By adopting blockchain and Web3 concepts, this platform aims to overhaul the traditional approach to sourcing and verifying AI training data, offering an innovative decentralized way forward.
The result?
Unlike typical marketplaces, Synesis One invites expert contributors to earn $SNS tokens for micro-tasks that help train AI models, ensuring a community-driven approach.
What is Synesis One?
This transparent system not only enhances quality but also fairly compensates contributors who play a role in building the AI landscape of the future.
SynesisDAO The unique success of Synesis One lies in its new approach to crowdsourcing and data validation, supported by an ecosystem that leverages SynesisDAO and Kanon Exchange.
As a decentralized hub, SynesisDAO gathers contributors to pool ontologies for a shared public data resource, maintaining integrity and availability. Complementing this is the Kanon Exchange, a dedicated NFT marketplace facilitating the exchange of unique ontology-based NFTs called Kanons.
These assets can be used as security and adapted into DeFi assets, paving the way for lending and financial operations, empowering data creators to gain true value for their contributions.
Synesis One has intelligently chosen Solana for its first version due to its performance capabilities and minimal transaction costs.
This strategic choice allows contributors, traders, and users to interact seamlessly, avoiding expensive and prohibitive transaction fees.
Through its efficient structure, Synesis One ensures each stakeholder within the system understands their role, promoting a continual cycle of data creation, validation, and utilization.
With plans to expand across multiple blockchains, Synesis One is poised to scale effectively alongside the rising adoption of AI and blockchain technologies.
The Technology Behind Synesis One
Blending cutting-edge blockchain tech with user-centric design, Synesis One enables data experts to contribute seamlessly without needing advanced blockchain knowledge. This innovative Train2Earn concept promises to spearhead AI's future growth. In Synesis One, Builders, Validators, and Architects play critical roles in producing, confirming, and integrating high-quality datasets for AI.
Ontology Mining Framework
Once verified, these datasets turn into Kanons—verifiable on the blockchain—that can be traded, split into tokens, or used in financial operations.
Kanon as NFTs
Solana supports Synesis One's mission by offering a highly efficient framework for frequent and cost-effective interactions, vital for NFTs and rewards.
Blockchain and Interoperability
Despite these benefits, Synesis One plans to evolve beyond a single chain, aiming for cross-chain flexibility by integrating into various ecosystems for broader compatibility.
SRI, the Synesis Relevance Index, acts as a real-time analytic tool, helping to adjust supply and demand dynamics of ontology contributions.
Each Kanon offers its holder the opportunity for network rewards in $SNS tokens, emphasizing contribution relevance measured by SRIS.
Synesis Relevance Index (SRI)
The Synesis One team reflects its platform's vision, uniting experts in AI, blockchain, and business to dynamically build the AI future.
Joshua Hong and Paul Lee, both accomplished in their fields, bring a diverse insight that grounds Synesis One's innovative pursuit.
Under CEO Isaac Bang, who expertly bridges tech and gaming, Synesis One is positioned to unify cutting-edge innovation with mainstream access. Collectively, they champion the platform’s ethos—leveraging diversity to pave the way for a decentralized approach to AI data ecosystems. This marks a transformative shift in AI data sourcing and utilization, incorporating blockchain transparency to ensure data quality and equitable recognition for contributors.
The Synesis One Team
As platforms like Synesis One become critical, they support fair transition into AI-driven advancements by enabling universally accessible model training.
Nicholas Say, a seasoned writer based in the Far East, often explores technological evolution and its real-world implications in his work.
iExec: Creating the Trust Framework for DePIN and AI
Synesis One: Revolutionizing AI Data Collection and Profitability - Blockonomi
Harnessing blockchain technology and Web3 philosophies, Synesis One is set to change the game in how we gather and verify data for AI training.
Conclusion
Synesis One Synesis One: A New Era in AI Data Collection and Profitability
As artificial intelligence advances rapidly, it brings to light a vital concern: the effectiveness of our AI systems is deeply intertwined with the quality of the data they're trained on.
