# Сопутствующие статьи по теме Blockchain

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Blockchain", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Developer Harbor: Hong Kong's New Opportunities in the AI Era (Beijing Station) Concludes Successfully, Ushering in a New Journey for Alpha Builders

On March 11, 2026, the "Developer Harbor: Hong Kong's New Opportunities in the AI Era (Beijing)" event, co-hosted by Web3Labs and YZi Labs, was successfully held at StarLand Center in Beijing. The event brought together over a hundred builders from universities and tech organizations across China to explore Hong Kong's role as an international tech innovation hub in the AI age. The event featured opening remarks from government representatives, including officials from Beijing and Hong Kong, who emphasized the strategic synergy between the two cities in tech innovation, talent mobility, and industrial collaboration. A representative from the Hong Kong government also introduced talent admission policies to support mainland tech professionals seeking opportunities in Hong Kong. Web3Labs CEO Caspar Wong delivered a keynote, arguing that the convergence of AI and Web3 lies at the protocol layer rather than the application layer, with future investment logic focusing on composable, verifiable, and operational infrastructure of real value. A major highlight was the introduction of the "Alpha Builders Innovation Recruitment Program," an initiative by Web3Labs and YZi Labs aimed at identifying and empowering China’s most promising tech builders. Seven teams from top universities such as Tsinghua, Peking, Fudan, and Zhejiang presented projects spanning AI agents, Web3 infrastructure, biocomputing, and privacy computing. Selected teams will gain access to mentorship, ecosystem resources, and early-stage funding through programs like the EASY Residency. The event underscored Hong Kong’s growing importance as a bridge linking innovative talent to the global stage, with Web3Labs and YZi Labs committed to supporting builders who are creating a more intelligent, open, and composable digital future.

marsbit03/12 09:16

Developer Harbor: Hong Kong's New Opportunities in the AI Era (Beijing Station) Concludes Successfully, Ushering in a New Journey for Alpha Builders

marsbit03/12 09:16

When AI Starts Paying with USDC, Circle's Victory and the Custodial Challenge of Funds

The article discusses the rise of AI agents as independent economic entities, highlighting that 99% of their payments are made using USDC, positioning Circle as a key beneficiary. Over a nine-month period, AI agents conducted 140 million transactions totaling $43 million, with an average transaction size of $0.31. This shift signifies AI's transition from conceptual to real economic activity, raising questions about financial infrastructure and asset management for autonomous agents. Circle’s three-layer infrastructure—stablecoin issuance, efficient on-chain settlement, and integration with traditional finance—enables seamless micro-payments. However, as AI agents accumulate capital, they will need to manage idle funds, creating opportunities for Real World Asset (RWA) tokenization. Projects like Ondo Finance are making RWA assets machine-readable and programmable, allowing AI agents to automate investments in tokenized treasury bonds or other low-risk assets. The integration of payment and asset management systems could enable AI agents to optimize operational efficiency by automatically investing surplus USDC into yield-generating RWA products. However, challenges remain, including data authenticity, model and liquidity risks, regulatory disparities, and technical security. The article concludes that while Circle provides the "payment nervous system" for AI economies, RWA must evolve to serve as the "energy storage system," ensuring AI agents can manage assets as efficiently as they execute transactions.

比推03/12 04:31

When AI Starts Paying with USDC, Circle's Victory and the Custodial Challenge of Funds

比推03/12 04:31

Kyle Samani Is Back: This Time, We're Going to Outcompete CEX in Efficiency!

Kyle Samani, former co-founder of Multicoin Capital, has returned to advocate for PropAMM, a Solana-based innovation he claims is one of the most significant advancements in market microstructure in decades. He argues that by hosting market maker algorithms directly on-chain, PropAMM eliminates the latency inherent in traditional centralized exchanges (CEXs), where constant data exchange between market makers and the exchange server is required. On Solana, pricing updates occur within the same physical silicon, drastically reducing delays. PropAMM already dominates SOL-USDC spot trading on Solana with tighter spreads than major CEXs. Samani predicts it will become the dominant model for on-chain spot, perpetuals, and prediction markets this year. Current challenges include ensuring best execution for takers due to private algorithms and non-deterministic routing, but solutions from aggregators like Jupiter and dFlow are expected. Upcoming Solana upgrades—such as higher compute limits, reduced slot times, and lower network latency—will further enhance PropAMM performance, solidifying its efficiency advantage over CEXs.

Odaily星球日报03/12 03:42

Kyle Samani Is Back: This Time, We're Going to Outcompete CEX in Efficiency!

Odaily星球日报03/12 03:42

XRP Suppression: Ripple CEO Says ‘They Were Afraid Of Us’

Ripple CEO Brad Garlinghouse claims that the intense regulatory and legal pressure faced by XRP and Ripple, including the SEC lawsuit resolved in 2025, was driven by fear of the project's technological strength rather than legitimate concerns. Speaking at a conference in Sydney, he asserted that "they were afraid of us," suggesting that XRP's underlying technology posed a threat to existing financial systems, triggering a coordinated suppression effort. Both Garlinghouse and Ripple President Monica Long described the hostility as an inorganic, systemic attack. Garlinghouse linked these suspicions to the Epstein files, which revealed connections between former SEC Chair Gary Gensler, MIT Media Lab's former head Joi Ito, and what he implies was a deliberate effort to stifle Ripple's growth.

bitcoinist03/12 02:33

XRP Suppression: Ripple CEO Says ‘They Were Afraid Of Us’

bitcoinist03/12 02:33

12 Potential Startup Directions in the AI and Blockchain Space

The convergence of AI and blockchain is enabling a new economic paradigm dominated by "Money Machines"—autonomous software systems that operate 24/7, create value, and grow with minimal human intervention. These systems, powered by programmable value (blockchain) and programmable decisions (AI), represent the next industrial revolution, scaling human potential through autonomous capital. Key infrastructure enabling this shift includes stablecoins, tokenized assets, decentralized identity, and on-chain financial protocols. The article outlines 12 promising startup directions at this intersection: 1. **Agent Equity & Investment Banking**: Capitalizing AI systems via partial ownership, revenue-sharing tokens, and on-chain DAOs. 2. **Compute Exchanges & Markets**: Financial infrastructure for GPU capacity trading (e.g., futures, options). 3. **Liquidity Operating Systems**: Programmable short-term liquidity for cross-border payments and stablecoin conversions. 4. **Agent Service Marketplaces**: Platforms for monetizing expertise (e.g., legal, research) via deployable AI agents. 5. **Agent Identity & Reputation**: Decentralized identity and verifiable credentials for AI agents. 6. **Yield-as-an-API**: Programmable, real-time yield generation for software-managed capital. 7. **Credit Infrastructure**: Non-human lending primitives using stablecoins and smart contracts. 8. **Compliance for Tokenized Securities**: KYC/AML layers for seamless, regulation-compliant tokenized asset flows. 9. **Agent Payment Controls**: Programmable spending limits and approvals for autonomous transactions. 10. **Stablecoin Treasury Management**: Automated tools for corporate crypto/fiat treasury optimization. 11. **Cross-Chain Settlement & Interoperability**: Chain-agnostic execution and liquidity routing for agents. 12. **Data Monetization & Provenance Networks**: Decentralized data markets with micro-payments and usage tracking. These areas highlight the infrastructure needed for an internet-native financial system where autonomous agents dominate economic activity.

marsbit03/12 01:38

12 Potential Startup Directions in the AI and Blockchain Space

marsbit03/12 01:38

Solana Overtakes Ethereum In Trillion-Dollar Sector, Is There A New King In Town?

Solana has surpassed Ethereum in the number of real-world asset (RWA) holders, with 157,112 compared to Ethereum's 153,592. However, Ethereum maintains a significant lead in total RWA value at $15.4 billion, excluding stablecoins, while Solana's RWA value is $1.8 billion. Additionally, Solana recorded higher stablecoin transaction volume in February at $660.64 billion, exceeding Ethereum's $548.82 billion. Despite this, Ethereum has a larger stablecoin market cap and more stablecoin holders. Both networks are growing in RWA holders, but Solana shows faster growth in stablecoin transfer volume and holders.

bitcoinist03/11 19:11

Solana Overtakes Ethereum In Trillion-Dollar Sector, Is There A New King In Town?

bitcoinist03/11 19:11

Prediction Market Polymarket Faces Scrutiny After Andrew Tate X Bet Profits

Polymarket, a prediction market platform, is under scrutiny after on-chain analysts identified at least seven coordinated accounts that profited approximately $52,000 from betting on influencer Andrew Tate's posting activity on X. The markets allowed users to wager on the number of posts Tate would make within a specific period. Researchers highlighted that the low liquidity in these markets made them susceptible to manipulation. The incident has sparked broader discussions about fairness and transparency in decentralized prediction markets, particularly when participants may have insider knowledge or the ability to influence the outcomes they are betting on. While proponents argue blockchain transparency helps identify suspicious activity, critics warn of inherent conflicts of interest, especially in markets based on quantifiable actions like social media engagement.

TheNewsCrypto03/11 13:23

Prediction Market Polymarket Faces Scrutiny After Andrew Tate X Bet Profits

TheNewsCrypto03/11 13:23

Entering the Global AI Core Club, TRON Becomes Gold Member of Agentic AI Council

Tron has joined the Agentic AI Council (AAIF), hosted by the Linux Foundation, as a Gold Member. This move marks a significant strategic expansion into AI for the blockchain platform. Tron founder Justin Sun stated that the next wave of digital payments will be machine-driven, and Tron is positioning itself to support this shift. The AAIF council includes major tech and financial players like OpenAI, Google, Microsoft, and JPMorgan. Tron's membership highlights its ambition to provide open financial infrastructure for autonomous AI agents, which require high-frequency, low-cost, machine-to-machine (M2M) micro-transactions—a need traditional payment systems cannot meet. Tron's established advantages include being the largest settlement layer for stablecoins, processing billions in daily transactions with high reliability and near-zero fees. Its robust network, which has maintained almost 100% uptime, is well-suited for AI-driven economic activity. With recent regulatory clarity from the SEC dismissing charges against Sun and Tron, the platform is now focused on integrating AI as a core growth driver in 2026. This step signals a shift in Tron’s valuation—from a crypto payment network to a potential central hub for the future AI economy, serving billions of autonomous agents.

比推03/11 12:40

Entering the Global AI Core Club, TRON Becomes Gold Member of Agentic AI Council

比推03/11 12:40

From $0.014 to $25 by 2029? Ozak AI’s Tokenomics Suggest a 178,000% ROI Scenario Early Investors Are Racing Toward

Ozak AI, currently in its presale phase at $0.014 per token, is being discussed by analysts as a high-potential AI infrastructure project with a long-term growth model. Some projections suggest a theoretical price target of $25 by 2029, which would represent a 178,000% return for early investors. These forecasts are based on a multi-phase expansion plan including presale repricing, post-listing adoption, ecosystem scaling, and broader AI market growth. The tokenomics are designed for gradual supply absorption aligned with increasing utility and demand. Ozak AI’s infrastructure components—such as Prediction Agents, the Ozak Stream Network, and integrations with EigenLayer and Arbitrum Orbit—support its potential for compounded growth. Early investors are accumulating tokens ahead of anticipated price appreciation, though all projections remain speculative.

TheNewsCrypto03/11 10:56

From $0.014 to $25 by 2029? Ozak AI’s Tokenomics Suggest a 178,000% ROI Scenario Early Investors Are Racing Toward

TheNewsCrypto03/11 10:56

a16z: The Best Technology Doesn't Always Win in the Enterprise Market

a16z: Why the "Best" Tech Doesn't Always Win in Enterprise Markets In the current blockchain application cycle, founders are learning a crucial lesson: enterprises don't buy the "best" technology; they buy the upgrade path with the least disruption. For decades, new enterprise tech has offered promises of order-of-magnitude improvements—faster settlement, lower costs, cleaner architecture—but adoption rarely matches technical superiority. The gap isn't performance but product-market fit. Enterprises prioritize minimizing downside risk over maximizing gains. Decision-makers in large institutions face asymmetric penalties: missing an opportunity is rarely punished, but a visible failure can damage careers and attract regulatory scrutiny. Thus, decisions are driven by "what is least likely to fail" rather than "what might be achieved." Enterprise decisions are made by a coalition of stakeholders—legal, compliance, risk, finance, security—each with veto power and different concerns. The "customer" is rarely a single buyer but a group focused on avoiding errors. Successful founders identify these decision-makers early and tailor their pitch to address specific institutional constraints. Third-party consultants and system integrators often act as gatekeepers, repackaging new technology into familiar frameworks to reduce perceived risk. Ignoring this layer is a strategic mistake. A common error is using a one-size-fits-all sales pitch or advocating for a "rip-and-replace" approach. Enterprises prefer incremental integration that complements existing systems, as seen in Uniswap's collaboration with BlackRock on tokenized funds, which extended traditional fund structures onto the chain without overhauling operations. Enterprises hedge their bets by running multiple pilots. Winning requires becoming the "right hedge"—not just through technical superiority but by demonstrating professionalism, predictability, and credibility within institutional constraints. Ideological purity around decentralization often fails to resonate with risk-averse enterprises. Success comes from adapting to the enterprise's operational realities, not demanding they adopt a full vision immediately. The most successful technologies are those that integrate seamlessly into existing workflows, reducing uncertainty and enabling gradual, scalable adoption.

marsbit03/11 09:43

a16z: The Best Technology Doesn't Always Win in the Enterprise Market