# 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.

From Theory to Countdown: Google Sounds the Blockchain Quantum Resistance Alarm with Zero-Knowledge Proofs

An article discusses the significant threat quantum computing poses to blockchain and classical encryption systems, triggered by Google's recent research. By optimizing Shor's algorithm, Google reduced the logical qubits required to break 256-bit elliptic curve encryption from around 6,000 to just 1,200—slashing computational costs by 20 times. This advancement sets a potential countdown, with Google estimating 2029 as the deadline for upgrading to quantum-resistant cryptography. Both Bitcoin and Ethereum face severe risks. About 25-35% of Bitcoin addresses have exposed public keys, making them vulnerable to attacks, especially during transaction processing. Ethereum’s design exposes public keys upon first use, jeopardizing its entire network if signatures aren’t updated. Historical blockchain data remains permanently available for future quantum attacks. The solution lies in adopting post-quantum cryptography (PQC). Ethereum is already implementing account abstraction and PQC-based signatures, leveraging its upgradeable architecture. Bitcoin is considering BIP-360 to introduce quantum-resistant algorithms like FALCON or CRYSTALS-Dilithium, though consensus may delay action. Notably, Google used zero-knowledge proofs to disclose this threat responsibly, aiming to prevent panic. Collaboration with Ethereum Foundation researchers suggests抗量子 (quantum resistance) could become a major narrative, aligning with crypto’s cryptographic roots.

marsbit04/16 06:38

From Theory to Countdown: Google Sounds the Blockchain Quantum Resistance Alarm with Zero-Knowledge Proofs

marsbit04/16 06:38

Understanding Stock Tokenization in One Article: Who's Doing It, How to Buy, and What Are the Risks?

In the past 60 days, the U.S. capital market has undergone structural changes surpassing the last decade. The SEC outlined a blueprint for tokenized securities, Nasdaq received approval for token settlement, and NYSE partnered with Securitize to launch a tokenization platform. Despite a global equity market worth ~$140 trillion, tokenized stocks represent only ~$890 million—a 0.0007% penetration. The SEC’s January 2026 statement classified tokenized securities into four models: - **Model A (Issuer-Sponsored)**: Direct on-chain ownership (e.g., Galaxy Digital tokenizing its own stock). - **Model B (Tokenized Securities)**: Intermediated custody with blockchain settlement (adopted by Nasdaq, NYSE, DTC). - **Model C (Pegged Securities)**: Synthetic claims via omnibus accounts (e.g., Ondo Finance, xStocks, Dinari—dominant with ~$650M TVL). - **Model D (Derivative Contracts)**: Pure synthetic exposure (e.g., Ventuals’ perpetual swaps on Hyperliquid). For public stocks, Models C and B lead, but face challenges: Model C introduces counterparty risk (no SIPC insurance), while Model A requires issuer participation. Private market tokenization is more transformative, addressing illiquidity and high barriers in the $7T private equity space. Platforms like PreStocks and Jarsy offer 24/7 tokenized access to pre-IPO stocks (e.g., SpaceX, OpenAI) but lack direct ownership rights. Traditional private equity platforms (Forge, EquityZen) are regulated but slow and expensive. Key risks include fee stacking in SPV structures, regulatory uncertainty, and synthetic products’ high funding rates (e.g., Ventuals’ 54% annualized cost for long positions). Infrastructure players (e.g., Securitize, Berry) are advancing models with independent custody to mitigate risks. The convergence of institutional adoption and retail demand signals a foundational shift in market structure, though scalability and transparency remain critical hurdles.

marsbit04/16 03:25

Understanding Stock Tokenization in One Article: Who's Doing It, How to Buy, and What Are the Risks?

marsbit04/16 03:25

The Complete Landscape of Encrypted AI Protocols: Starting from Ethereum's Main Battlefield, How to Build a New Operating System for AI Agents?

The year 2026 is emerging as a pivotal moment for the convergence of Crypto and AI, marked by AI's evolution from a tool to an autonomous economic agent. These AI agents require identity, payment channels, and verifiable execution environments—needs that blockchain is uniquely positioned to address. Ethereum is positioning itself as the trust layer for AI. Vitalik Buterin's updated framework outlines a vision where Ethereum provides verifiable, auditable infrastructure for AI, rather than accelerating its development unchecked. This is being realized through key protocol developments: - **Identity & Reputation (ERC-8004):** A standard for creating NFT-based identities for AI agents, complete with a reputation system built on verifiable on-chain interactions. - **Payments (x402):** Now under the Linux Foundation, this protocol embeds machine-to-machine payments directly into HTTP requests, enabling agents to pay for API access seamlessly with stablecoins or traditional methods. - **Execution (ERC-8211):** Allows AI agents to execute complex, multi-step DeFi transactions atomically in a single signature, overcoming a major operational bottleneck. Beyond Ethereum, other ecosystems are finding their roles. Solana is becoming a hub for high-frequency, low-cost agent payments and interactions due to its speed and low fees. Decentralized physical infrastructure networks (DePIN) provide the necessary compute power. In summary, a complementary crypto-AI stack is forming: Ethereum sets the standards for trust and identity, Solana excels at high-frequency execution, and DePIN supplies decentralized computation. The goal is not to accelerate AI uncontrollably, but to build a verifiable, decentralized foundation for the incoming AI agent economy.

marsbit04/16 02:06

The Complete Landscape of Encrypted AI Protocols: Starting from Ethereum's Main Battlefield, How to Build a New Operating System for AI Agents?

marsbit04/16 02:06

活动图片