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Oracle

Oracles are essential infrastructure components that feed real-time, off-chain data (such as price feeds, weather, or sports results) into blockchain smart contracts. Without decentralized oracles like Chainlink and Pyth, DeFi could not function. In 2026, oracles have evolved to support verifiable randomness and cross-chain data synchronization. This tag covers the technical evolution of data availability, tamper-proof price feeds, and the critical role oracles play in ensuring the deterministic execution of complex decentralized applications.

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Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Best Altcoins to Invest in Before October 2025

Best Altcoins to Invest in Before October 2025

Ripple’s XRP has long been at the top of the altcoins, with strong use cases in cross-border payments and ongoing institutional demand. As much as it remains a safe bet among investors seeking exposure to proven projects, however, its upside potential may be more limited compared to emerging token Mutuum Finance. Currently presale for $0.035, […]

Author: Cryptopolitan

2025/09/23

US Rejects Golden Share in TikTok Deal, Board to Stay Private

US Rejects Golden Share in TikTok Deal, Board to Stay Private

TLDRs; The U.S. will not take equity or a golden share in TikTok’s American operations under the new deal. A majority-American board will govern TikTok US, with ByteDance keeping less than a 20% minority stake. Oracle will monitor TikTok’s algorithm and data flows to safeguard U.S. national security concerns. Trump extended TikTok’s divest-or-ban deadline by [...] The post US Rejects Golden Share in TikTok Deal, Board to Stay Private appeared first on CoinCentral.

Author: Coincentral

2025/09/23

Crypto Indexes Down ~5%: BTC, ETH Lose Momentum, Many Mid-Caps & Meme Coins Implode, RWA Tokens Hold Steady

Crypto Indexes Down ~5%: BTC, ETH Lose Momentum, Many Mid-Caps & Meme Coins Implode, RWA Tokens Hold Steady

The post Crypto Indexes Down ~5%: BTC, ETH Lose Momentum, Many Mid-Caps & Meme Coins Implode, RWA Tokens Hold Steady appeared first on Coinpedia Fintech News Major crypto indexes retreated by roughly five percent during the latest trading cycle, erasing gains built over the past week. Flagship assets Bitcoin and Ether both shifted lower, losing the momentum that had pushed them toward recent resistance levels. The pullback intensified across mid-cap tokens and meme-branded coins, many of which recorded double-digit percentage drops …

Author: CoinPedia

2025/09/23

Crypto-Native Autonomous Agents: A New Era of Decentralized AI

Crypto-Native Autonomous Agents: A New Era of Decentralized AI

Crypto-Native Autonomous Agents: A New Era of Decentralized AI The evolution of artificial intelligence (AI) and blockchain technology has paved the way for a new paradigm in decentralized systems: crypto-native autonomous agents (CNAAs). These agents combine the intelligence of AI with the transparency, security, and decentralization of blockchain, enabling automated decision-making, asset management, and transaction execution in crypto ecosystems. This intersection is creating opportunities for smarter decentralized finance (DeFi), autonomous marketplaces, and efficient blockchain-based governance. In this blog, we explore what crypto-native autonomous agents are, how they operate, their real-world applications, and why they are poised to redefine decentralized systems. Understanding Crypto-Native Autonomous Agents A crypto-native autonomous agent is an AI-powered program designed to operate natively within blockchain networks. Unlike traditional AI agents, which often rely on centralized servers, CNAAs execute tasks, make decisions, and interact with decentralized networks without centralized oversight. This decentralization ensures that these agents are trustless, transparent, and resistant to manipulation. Key characteristics of CNAAs include: Autonomy: They can perform tasks and make decisions independently based on predefined rules and learning algorithms. Crypto-native integration: They operate directly within blockchain ecosystems, utilizing tokens, smart contracts, and decentralized data. Interoperability: CNAAs can communicate with other agents, protocols, and dApps across multiple blockchains. Transparency and immutability: All actions and decisions are recorded on-chain, making their behavior verifiable and auditable. By combining AI decision-making with blockchain-based verification, these agents reduce the need for human oversight while increasing trust in decentralized operations. How Crypto-Native Autonomous Agents Work? Crypto-native autonomous agents function through a combination of AI algorithms, smart contracts, and blockchain infrastructure. Their workflow typically involves the following steps: Data Acquisition CNAAs continuously gather data from decentralized sources such as on-chain transactions, decentralized oracles, and crypto market feeds. Decision Making Using machine learning models, CNAAs analyze the data to make informed decisions. For example, an agent could determine the optimal time to trade a token or execute a staking strategy. Smart Contract Execution Once a decision is made, the agent interacts with smart contracts to perform actions automatically. These actions are verifiable and irreversible on the blockchain. Learning and Adaptation Advanced CNAAs incorporate reinforcement learning, allowing them to adapt strategies based on previous outcomes, market changes, and network conditions. This autonomous workflow enables decentralized systems to function efficiently without central authorities, enhancing security, reducing costs, and improving transaction speeds. Applications in Decentralized Finance (DeFi) One of the most significant use cases for crypto-native autonomous agents is in DeFi. Here, CNAAs can automate complex financial strategies, offering both efficiency and intelligence.

  1. Automated Trading AgentsCNAAs can act as autonomous trading bots, executing buy and sell orders across decentralized exchanges (DEXs) based on AI-driven predictions. Unlike traditional bots, these agents operate directly on-chain, reducing reliance on centralized intermediaries and improving trust.
  2. Liquidity Provision and Yield FarmingAutonomous agents can manage liquidity pools, optimize yield farming strategies, and rebalance portfolios dynamically. By analyzing market trends, these agents ensure maximum returns while minimizing risks for users.
  3. Risk Assessment and ManagementAI algorithms embedded in CNAAs can assess market volatility, smart contract vulnerabilities, and token risks in real-time. This predictive capability helps users make safer investment decisions and reduces the likelihood of losses due to unforeseen events. Enhancing Decentralized Marketplaces CNAAs are also transforming decentralized marketplaces by automating bidding, pricing, and trading processes. For example: NFT Marketplaces: Agents can evaluate NFT values, execute trades, and manage collections automatically. Tokenized Assets: CNAAs facilitate trading and management of tokenized real-world assets such as real estate or commodities, ensuring transparency and efficiency. Automated Auctions: Crypto-native agents can conduct on-chain auctions, adjusting bids and allocations dynamically based on demand and supply. This level of automation reduces friction in decentralized markets, encourages participation, and increases overall market efficiency. Governance and Decentralized Organizations Crypto-native autonomous agents play a crucial role in Decentralized Autonomous Organizations (DAOs). By automating governance functions, these agents ensure decisions are executed fairly and transparently: Voting Automation: CNAAs can tally votes, execute proposals, and distribute rewards automatically, minimizing human error. Resource Allocation: Agents manage treasury funds and project allocations based on predefined rules or AI-optimized strategies. Proposal Evaluation: Advanced CNAAs can assess the potential impact of governance proposals using predictive analytics, enabling informed decision-making. This automation strengthens trust in decentralized governance, as all actions are recorded and verifiable on-chain. Cross-Chain Interoperability Modern blockchain ecosystems are often fragmented, with assets and protocols spread across multiple networks. CNAAs facilitate cross-chain operations by: ✦Executing transactions across different blockchain networks seamlessly. ✦Bridging liquidity and ensuring arbitrage opportunities are optimized. ✦Monitoring cross-chain token performance and responding autonomously to market changes. This interoperability ensures that decentralized agents can operate efficiently in a multi-chain environment, enhancing liquidity and user experience. Security and Trust in Autonomous Agents Security is a critical concern for autonomous systems. CNAAs address this challenge through several mechanisms: Smart Contract Verification: Actions are executed via verified smart contracts, reducing the risk of manipulation. On-Chain Transparency: Every transaction and decision is recorded on the blockchain, making it auditable and immutable. AI-Driven Threat Detection: Some agents incorporate AI models to detect anomalies, identify potential exploits, and respond proactively. Decentralized Architecture: By operating in a decentralized manner, CNAAs reduce single points of failure and increase system resilience. These measures make crypto-native autonomous agents more secure than traditional centralized automation solutions. Real-World Use Cases Decentralized Asset Management: CNAAs manage crypto portfolios automatically, optimizing returns and balancing risk without human intervention. NFT Valuation Agents: AI-powered agents analyze NFT marketplaces to determine fair pricing, detect trends, and suggest optimal purchase or sale strategies. Yield Optimization: CNAAs automatically reallocate funds across liquidity pools to maximize yield, taking into account gas fees and market conditions. Cross-Chain Arbitrage: Agents monitor price discrepancies across chains and execute profitable trades autonomously. Governance Automation in DAOs: CNAAs ensure proposals are executed efficiently, funds are allocated correctly, and governance rules are enforced. These examples demonstrate how CNAAs are enabling smarter, faster, and more secure operations in the decentralized ecosystem. The Future of Crypto-Native Autonomous Agents As blockchain and AI technologies evolve, CNAAs are expected to become more sophisticated and widely adopted. Key trends include: Integration with AI-Powered Prediction Markets: Agents will analyze complex datasets to forecast trends and opportunities across DeFi and NFT markets. Enhanced Personalization: CNAAs will offer custom strategies tailored to individual user preferences and risk profiles. Decentralized AI Marketplaces: Agents will collaborate in marketplaces to buy, sell, and trade AI services autonomously. Self-Improving Algorithms: Reinforcement learning will allow CNAAs to continuously improve their decision-making capabilities. Broader Adoption in Traditional Finance: Financial institutions may integrate CNAAs for asset management, compliance, and risk assessment. The combination of AI intelligence and decentralized execution positions CNAAs as a critical component in the next generation of blockchain-based systems. Challenges and Considerations Despite their potential, CNAAs face several challenges: Regulatory Uncertainty: Cross-border operations and financial automation may face legal hurdles. Algorithmic Bias: AI models may inherit biases from training data, impacting decision-making. Scalability: High transaction costs and network congestion on some blockchains can limit agent performance. Interoperability: Ensuring seamless operation across multiple blockchains remains a technical challenge. Security Risks: While blockchain adds security, vulnerabilities in smart contracts or AI models can still be exploited. Addressing these challenges will be crucial for the broader adoption and success of crypto-native autonomous agents. Conclusion Crypto-native autonomous agents represent a new era of decentralized AI, combining intelligence, autonomy, aemond blockchain security. From DeFi trading and yield optimization to NFT marketplaces and DAO governance, these agents are redefining the possibilities of decentralized systems. By enabling autonomous decision-making, transparent operations, and cross-chain interoperability, CNAAs reduce the need for centralized oversight while increasing trust and efficiency. While challenges such as regulatory uncertainty and scalability remain, the ongoing evolution of AI and blockchain technologies promises to address these issues, paving the way for broader adoption. The era of crypto-native autonomous agents has arrived, offering a glimpse into a future where decentralized AI empowers users, businesses, and networks to operate smarter, faster, and more securely. Those who embrace these innovations today are likely to be at the forefront of blockchain’s next transformation.
Crypto-Native Autonomous Agents: A New Era of Decentralized AI was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story

Author: Medium

2025/09/23

Oracle ($ORCL): Surges 6.31% on TikTok Algorithm Oversight Deal

Oracle ($ORCL): Surges 6.31% on TikTok Algorithm Oversight Deal

TLDRs; Oracle stock surged 6.31% as it secured oversight of TikTok’s U.S. algorithm and user data operations. ByteDance will cut its stake in TikTok’s U.S. venture below 20%, with Americans controlling the majority. Trump extended TikTok’s divestment deadline by 120 days and will approve the restructuring via executive order. Lawmakers remain uncertain whether TikTok’s algorithm [...] The post Oracle ($ORCL): Surges 6.31% on TikTok Algorithm Oversight Deal appeared first on CoinCentral.

Author: Coincentral

2025/09/23

TikTok Eyes $10B Brazil Data Hub Amid Environmental Pushback

TikTok Eyes $10B Brazil Data Hub Amid Environmental Pushback

TLDRs; TikTok plans a $10B data hub in Brazil’s Ceará, making it one of the country’s biggest tech investments. President Lula met TikTok’s CEO in New York, signaling government-level discussions about the project’s approval. Indigenous groups and activists oppose the plan, citing land rights disputes and water resource concerns. The move comes as TikTok faces [...] The post TikTok Eyes $10B Brazil Data Hub Amid Environmental Pushback appeared first on CoinCentral.

Author: Coincentral

2025/09/23

US, China dispute rare earths remains unresolved despite key meetings

US, China dispute rare earths remains unresolved despite key meetings

The post US, China dispute rare earths remains unresolved despite key meetings appeared on BitcoinEthereumNews.com. Representatives from the U.S. and China have held a series of meetings to discuss trade and security concerns. U.S. delegates met with Chinese leaders to discuss trade and security in the first U.S. House delegation to China since 2019.  The rare earths dispute between the United States and China remains unresolved, despite a series of high-level meetings in Beijing this week. Representative Adam Smith, the top Democrat on the House Armed Services Committee, confirmed that talks have not led to progress on the issue. U.S. and China fail to iron out rare earths dispute Smith is leading the first official U.S. House delegation to China since 2019. The visit included meetings with Premier Li Qiang and other senior officials. A major goal of the visit is to stabilize relations ahead of a potential meeting next month between President Donald Trump and President Xi Jinping in South Korea. At a press briefing on Tuesday, Smith acknowledged that no breakthrough on the dispute had been reached. “I don’t think we resolved the rare earth question. I think that still needs to be worked on,” he said. Back in June, China and the United States reached an agreement, under which Beijing committed to reviewing applications for exports of rare earth magnets. Few details of that deal have been disclosed, but Trade Representative Jamieson Greer recently said that rare earth shipments to the U.S. had “bounced back up significantly.” Meanwhile, European manufacturers have complained of shortages and have warned that supply constraints could disrupt production across several industries. Dialogue continues about trade, TikTok, and aircraft deals Beyond minerals, the delegation also discussed technology and trade. Smith was asked whether TikTok’s Chinese parent company, ByteDance Ltd., would maintain any role in the app’s U.S. algorithm under the pending arrangement. He described the matter as “not…

Author: BitcoinEthereumNews

2025/09/23

United States and China talks stall over rare earth supply dispute

United States and China talks stall over rare earth supply dispute

The U.S.-China dispute over rare earth supplies remains unresolved despite high-level meetings in Beijing.

Author: Cryptopolitan

2025/09/23

OpenAI and NVIDIA Forge Strategic Alliance for AI Infrastructure Expansion

OpenAI and NVIDIA Forge Strategic Alliance for AI Infrastructure Expansion

The post OpenAI and NVIDIA Forge Strategic Alliance for AI Infrastructure Expansion appeared on BitcoinEthereumNews.com. Timothy Morano Sep 22, 2025 13:40 OpenAI and NVIDIA announce a strategic partnership to deploy 10 gigawatts of NVIDIA systems, marking a significant step in AI infrastructure development with a $100 billion investment plan. OpenAI and NVIDIA have announced a groundbreaking strategic partnership aimed at deploying at least 10 gigawatts of NVIDIA systems to enhance OpenAI’s next-generation AI infrastructure. This move is set to revolutionize the landscape of artificial intelligence, according to NVIDIA Newsroom. Investment and Deployment Plans The collaboration involves a substantial investment from NVIDIA, which plans to inject up to $100 billion into OpenAI as the deployment progresses. The first gigawatt of NVIDIA systems is scheduled to be operational by the second half of 2026, utilizing the NVIDIA Vera Rubin platform. This initiative is expected to significantly bolster OpenAI’s capabilities in training and running advanced AI models. Leadership Insights Jensen Huang, founder and CEO of NVIDIA, emphasized the historical synergy between the two companies, stating, “NVIDIA and OpenAI have pushed each other for a decade, from the first DGX supercomputer to the breakthrough of ChatGPT.” Sam Altman, cofounder and CEO of OpenAI, highlighted the importance of compute infrastructure, noting, “Compute infrastructure will be the basis for the economy of the future.” Strategic Goals and Collaborations The partnership aims to scale AI capabilities globally, with OpenAI and NVIDIA working in tandem to optimize both hardware and software roadmaps. Greg Brockman, cofounder and president of OpenAI, expressed excitement about the potential to deploy 10 gigawatts of compute power, stating, “We’re excited to deploy 10 gigawatts of compute with NVIDIA to push back the frontier of intelligence.” This initiative aligns with existing collaborations involving Microsoft, Oracle, SoftBank, and Stargate partners, furthering the development of advanced AI infrastructure. OpenAI’s user base has expanded to…

Author: BitcoinEthereumNews

2025/09/23

The Database Zoo: SQL, NoSQL, and the Rise of Specialized Engines

The Database Zoo: SQL, NoSQL, and the Rise of Specialized Engines

Over the past 40 years, databases have evolved from relational systems to NoSQL engines, each solving new challenges of scale, flexibility, and performance. Yet modern workloads—like time-series metrics, vector search, and geospatial queries—expose the limits of general-purpose systems. This article traces the journey from SQL to NoSQL and introduces the rise of specialized databases designed to handle today’s most demanding data problems.

Author: Hackernoon

2025/09/23

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