AI IN CRYPTO: INSIGHTS FROM POLYGON AND NEAR PROTOCOL FOUNDERS

Artificial intelligence (AI) and blockchain technology are rapidly converging, creating exciting new possibilities across various sectors.This intersection promises to enhance transparency, security, and user control in AI applications, paving the way for a more equitable and secure digital future. Stay ahead of the market with in-depth token data, analytical charts, and expert insights to make informed crypto trading decisions! Currencies Market Cap $ 3.32T -4.14%In this article, we delve into the insights shared by industry leaders, particularly the founders of Polygon and NEAR Protocol, to explore the potential of this transformative synergy.Polygon, spearheaded by Sandeep Nailwal, is a leading Ethereum scaling solution, while NEAR Protocol, co-founded by Illia Polosukhin, is revolutionizing decentralized computing.Their perspectives offer invaluable insights into how these technologies can collaboratively shape the future of AI and blockchain. Tune in for insights on how AI and blockchain can collaboratively shape a more equitable and secure digital future. () Introducing AI s growing role in the blockchain space () How NearWe'll examine the role of open-source models, on-chain reputation systems, and the challenges and opportunities that lie ahead. Polygon, an Ethereum scaling solution, has introduced a new artificial-intelligence interface powered by OpenAI s ChatGPT, designed to aid developers building decentralized apps for the network.From AI-powered decentralized applications (dApps) to the development of decentralized compute protocols and zero-knowledge machine learning (zkML), we’ll cover the most exciting developments in the space.

The Convergence of AI and Blockchain: A New Paradigm

The integration of AI and blockchain presents a powerful combination, leveraging the strengths of both technologies.Blockchain provides a permissionless, trustless, and composable settlement layer for AI, while AI can enhance the efficiency and capabilities of blockchain networks. PAAL AI PAAL $ 0.11 siren SIREN $ 0.15 TARS AI TAI $ 0.11 Echelon Prime PRIME $ 2.74 Phala Network PHA $ 0.12 ChainGPT CGPT $ 0.10 Solidus Ai Tech AITECH $ 0.05 Venice Token VVV $ 2.75 Flux FLUX $ 0.22 IQ IQ $ 0.00 Arcblock ABT $ 0.80 AI Companions AIC $ 0.10 Nillion NIL $ 0.38 dKargo DKA $ 0.02 iExec RLC RLC $ 1.02 Marlin POND $ 0.01 Saga SAGAThis synergy is driving innovation across various applications, from decentralized finance (DeFi) to supply chain management.

Enhancing Transparency and Security

One of the key benefits of integrating AI with blockchain is the enhanced transparency and security it offers.Blockchain's immutable ledger ensures that all data and transactions are recorded and verifiable, providing a transparent and auditable record.This is particularly valuable for AI applications, where data integrity and provenance are critical. Specifically, this report examines projects developing decentralized compute protocols, zero-knowledge machine learning (zkML) infrastructure, and AI agents. Crypto provides AI with a permissionless, trustless, and composable settlement layer.By storing AI model parameters and training data on the blockchain, it becomes possible to track and verify the origins of AI outputs, reducing the risk of manipulation and bias.

Empowering User Control and Data Ownership

Blockchain enables users to retain control over their data and identities, addressing a major concern in the age of centralized AI systems.With blockchain-based identity solutions, individuals can manage their personal data and grant permissions for its use, ensuring privacy and compliance with regulations. Stay informed with the latest news on cryptocurrency, AI advancements, gaming trends, and regulatory updates. Your source for comprehensive insights and analysis.This user-centric approach empowers individuals to monetize their data and participate in the AI ecosystem on their own terms. They explore the potential of blockchain to enhance transparency, security and user control in AI applications, emphasizing the importance of open-source models and on-chain reputation systems. Tune in for insights on how AI and blockchain can collaboratively shape a more equitable and secure digital future. () Introducing AI s growingProjects like Humanity Protocol, constructed on a zkEVM layer 2 blockchain using the Polygon Chain Development Kit, aim to provide complete ownership over data and identity.

Polygon's Role in Shaping the AI Landscape

Polygon, as a leading Ethereum scaling solution, is playing a crucial role in facilitating the development and deployment of AI-powered dApps.By providing a high-throughput, low-cost platform, Polygon enables developers to build scalable and efficient AI applications. Polygon s co-founder warns of deepfake video scam using his likeness targeting startups Top AI Crypto Assets View All Name Price 24H % Market Cap; TAOPolygon is unique because it is not a single product, but rather a whole suite of products, such as Polygon PoS, Polygon zkEVM, Polygon Miden, Polygon ID, and Polygon Zero.

Leveraging ChatGPT for dApp Development

Polygon has introduced an AI interface powered by OpenAI's ChatGPT, designed to assist developers in building dApps for the network. Artificial Intelligence (AI) tokens are cryptocurrencies that power AI-related projects, such as AI-powered portfolio management, image generation, path finding, and more. AI tokens may give their holders governance rights on the platform, or they are needed to pay for transactions on the platform.This integration streamlines the development process, enabling developers to quickly prototype and iterate on their ideas. Create, own, and monetize on-chain AI assets, each represented as a token with verifiable provenance and liquidity. These assets function within a decentralized ecosystem that ensures transparent ownership, secure exchange, and programmable interactions, enabling persistent identity and long-term value creation.By leveraging the natural language processing capabilities of ChatGPT, developers can easily generate code snippets, debug errors, and access relevant documentation.

Addressing Bias and Promoting Inclusivity

Polygon Labs CEO Marc Boiron has openly addressed the challenges faced by Polygon in gaining broader adoption, attributing some of the hurdles to racial prejudice against co-founder Sandeep Nailwal.Recognizing and addressing such biases is crucial for fostering a more inclusive and equitable blockchain ecosystem.The focus should be on the technology's merits and its contribution to the space, rather than on personal biases.

NEAR Protocol's Vision for Decentralized Computing

NEAR Protocol, co-founded by Illia Polosukhin, is revolutionizing decentralized computing with its scalable and user-friendly approach.Polosukhin drives innovation through initiatives like the Blockchain Operating System and NEAR's unique sharding technology, Nightshade. In this special episode of Decentralize with Cointelegraph, Gareth Jenkinson, head of multimedia at Cointelegraph, sits down with Sandeep Nailwal, co-founder of Polygon, and Illia PolosukhinNEAR Protocol aims to create a platform where developers can easily build and deploy decentralized applications, including AI-powered solutions.

Decentralized Compute Protocols

NEAR Protocol is actively involved in developing decentralized compute protocols that enable AI models to be trained and deployed in a decentralized manner.This approach ensures that AI models are not controlled by a single entity, reducing the risk of censorship and manipulation.Decentralized compute protocols also allow for more efficient utilization of computing resources, as individuals can contribute their idle processing power to the network.

Zero-Knowledge Machine Learning (zkML) Infrastructure

Zero-knowledge machine learning (zkML) is a groundbreaking technology that allows AI models to make predictions without revealing the underlying data.NEAR Protocol is exploring the potential of zkML to enhance privacy and security in AI applications. Don't invest unless you're prepared to lose all the money you invest. Cryptocurrencies are a high-risk investment and you should not expect to be protected if something goes wrong.By leveraging zkML, sensitive data can be used for training AI models without compromising confidentiality.This is particularly valuable in industries such as healthcare and finance, where data privacy is paramount.

The Rise of AI Agents and Applications

The application layer of AI, including AI agents and applications, is rapidly expanding, addressing various AI-related challenges. Constructed on a zkEVM layer 2 blockchain using the Polygon Chain Development Kit, Humanity Protocol aspires to provide complete ownership over data and identity. Similarly ambitious in biometric-based digital identification is Worldcoin, spearheaded by OpenAI CEO Sam Altman, which aims to create a Global ID network through iris scanning andThese AI agents are designed to automate tasks, provide personalized recommendations, and enhance user experiences. The Cato Institute raises concerns over Fincen's new reporting regulations, signaling a threat to financial privacy. As governments tighten their grip, couldFrom virtual assistants to AI-powered sentiment analysis tools, the possibilities are endless.

Examples of AI Applications in Crypto

• Virtuals: AI agents that can interact with users and perform tasks on their behalf.
• Kaito: An AI-powered sentiment analysis tool that analyzes market sentiment and provides insights to traders.
• PAAL AI: Another platform offering AI-driven solutions.

Lightchain AI: Embedding Intelligence at the Core

While platforms like Polygon and NEAR Protocol focus on scaling and connectivity, Lightchain AI is taking a fundamentally different approach by embedding intelligence at the very core of its blockchain.As a Layer 1 blockchain, Lightchain Protocol AI aims to provide a native environment for AI applications, optimizing performance and security.

Navigating the Challenges and Risks

While the integration of AI and blockchain offers tremendous potential, it's essential to acknowledge and address the challenges and risks associated with these technologies.

Deepfake Scams and Misinformation

Sandeep Nailwal, co-founder of Polygon, has warned of a troubling rise in deepfake scams using his likeness to deceive crypto founders. Sandeep Nailwal, co-founder of Polygon, has flagged a troubling rise in deepfake scams using his likeness to deceive crypto founders. Polygon is one of the largest Ethereum layer-2 networks. In a May 13 social media post on X, Nailwal said several individuals recently reached out to verify if he had spoken with them over Zoom.These scams highlight the potential for AI to be used for malicious purposes, such as spreading misinformation and defrauding individuals. Top AI Crypto Coins for 2025. Here are the top AI tokens with great potential for 2025 and beyond. It is worth noting that many platforms on our list offer robust APIs, which allow for easy integration across all decentralized applications. ⚠️ SingularityNet, Fetch.AI, and Ocean Protocol are in talks for a potential merger.It is crucial to be vigilant and verify the authenticity of information and communications before making any decisions.

Regulatory Uncertainty and Financial Privacy

The Cato Institute raises concerns over Fincen's new reporting regulations, signaling a threat to financial privacy.As governments tighten their grip, could these regulations stifle innovation and hinder the growth of the crypto industry?Balancing regulatory compliance with the need to protect financial privacy is a critical challenge that needs to be addressed.

Investment Risks in AI Crypto Assets

Investing in AI crypto assets involves significant risks. Illia Polosukhin co-founded NEAR Protocol, revolutionizing decentralized computing with a scalable, user-friendly approach. Polosukhin drives innovation through initiatives like the Blockchain Operating System and NEAR's unique sharding technology, Nightshade.Cryptocurrencies are a high-risk investment, and investors should be prepared to lose all the money they invest.It's crucial to conduct thorough research and understand the underlying technology and business model of AI crypto projects before making any investment decisions.Many platforms offer robust APIs, which allow for easy integration across all decentralized applications.

Top AI Crypto Coins for 2025 and Beyond

Several AI tokens have shown great potential for 2025 and beyond.These tokens power AI-related projects, such as AI-powered portfolio management, image generation, and path finding.AI tokens may give their holders governance rights on the platform, or they are needed to pay for transactions on the platform.

Examples of Promising AI Crypto Assets

1. SingularityNet (AGIX): A decentralized AI marketplace.
2. Fetch.AI (FET): A platform for autonomous AI agents.
3. Ocean Protocol (OCEAN): A data exchange protocol for AI. ⚠️ SingularityNet, Fetch.AI, and Ocean Protocol are in talks for a potential merger.
4. PAAL AI (PAAL)
5. ChainGPT (CGPT)

Future Outlook: A Collaborative and Equitable Digital Future

The future of AI and blockchain lies in collaboration and open-source development.By working together, researchers, developers, and policymakers can create a more equitable and secure digital future. Peter Thiel's venture capital firm Founders Fund has co-led a huge $85 million seed round investment in open-source AI development platform Sentient. Sentient's platform will be built on PolygonOpen-source models and on-chain reputation systems are essential for fostering trust and transparency in the AI ecosystem.

The Importance of Open-Source Models

Open-source AI models allow for greater scrutiny and collaboration, reducing the risk of bias and ensuring that AI systems are aligned with human values. Founded by Jaynti Kanani and Sandeep Nailwal, Polygon represents India's first unicorn protocol in the crypto space, with a market capitalization that has soared to billions of dollars. This article delves into the insights shared by the founders in an exclusive interview, exploring the journey of Polygon, its impact on Ethereum scaling, andBy making AI models publicly available, developers can contribute to their improvement and adapt them to specific use cases.This collaborative approach fosters innovation and accelerates the development of AI technologies.

Building On-Chain Reputation Systems

On-chain reputation systems provide a transparent and verifiable way to assess the trustworthiness of AI agents and applications. The crypto world is buzzing, and all eyes are on Lightchain Protocol AI, the newest Layer 1 blockchain that s capturing massive attention with its explosive LCAI token ICO. It s been a while since the market has seen a truly innovative Layer 1 platform, and Lightchain Protocol AI is blowing up with a presale that has investors going wild.By tracking the performance and behavior of AI systems on the blockchain, it becomes possible to identify and reward reliable and ethical AI actors. Polygon is streamlining scaling, and Polkadot is deepening its multi-chain connectivity but Lightchain AI is taking a fundamentally different approach by embedding intelligence at the very core of its blockchain. As the platform prepares for its July 2025 mainnet launch, following the successful completion of all 15 presale stages, the BonusThis incentivizes developers to create AI systems that are aligned with user interests and societal values.

Conclusion: Embracing the Potential of AI and Blockchain

The integration of AI and blockchain represents a transformative opportunity to create a more transparent, secure, and equitable digital future. Polygon is unique because it is not a single product, but rather a whole suite of products, such as Polygon PoS, Polygon zkEVM, Polygon Miden, Polygon ID, and Polygon Zero. To give a quick summary, Polygon Proof-of-Stake, or PoS, is the EVM-compatible, proof-of-stake side-chain for Ethereum, with high throughput and low costs, as we veAs highlighted by the insights from Polygon and NEAR Protocol founders, Sandeep Nailwal and Illia Polosukhin, the synergy between these technologies can unlock new possibilities across various industries. AI Apps Agents: The application layer of AI including AI agents and applications addressing AI-related challenges (e.g, identity or IP). For example, Virtuals (AI agents) and Kaito (AI-powered sentiment analysis). Artificial intelligence could be the most consequential technology of the 21 st century. But its development today is highlyFrom enhancing data privacy to promoting decentralized computing, the potential applications are vast. Polygon Labs CEO Marc Boiron has attributed the network s struggles with broader adoption in the space to racial prejudice against its co-founder, Sandeep Nailwal. In a Nov. 25 post on X, Boiron suggested that Nailwal s Indian heritage has led to biases that hinder Polygon s recognition despite its substantial usage across the blockchain industry.While challenges such as deepfake scams and regulatory uncertainty need to be addressed, the benefits of combining AI and blockchain far outweigh the risks.By embracing open-source models, building on-chain reputation systems, and fostering collaboration, we can harness the power of AI and blockchain to create a better world. The founders of Polygon came from humble beginnings, looking to change the world. Learn about the team behind Polygon and the company s journey.Stay informed, conduct thorough research, and be prepared to adapt as this exciting field continues to evolve.The future is decentralized, intelligent, and, most importantly, collaborative.Consider exploring the various AI crypto assets and platforms mentioned to further your understanding and potentially participate in this burgeoning ecosystem.