# Infrastructure Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Infrastructure", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Decoding a16z Crypto: The Four Key Capabilities for Blockchain to Evolve into Financial Infrastructure

This article discusses the blockchain's evolution from a focus on throughput to meeting the stringent requirements of global financial markets. It argues that while high transaction capacity is foundational, it is insufficient for financial-grade infrastructure. The piece identifies four critical capabilities needed: 1. **Predictability**: Ensuring transactions are included in blocks promptly and ordered according to clear, predefined rules. This is essential for time-sensitive operations like order cancellations in on-chain order books, where uncertainty can lead to market inefficiencies like wider spreads. 2. **Resilience**: Guaranteeing participants can reliably submit transactions without depending on a single gatekeeper or entry point. The concept of "Strong Chain Quality" is introduced, advocating for multiple pathways for transaction inclusion to prevent censorship and ensure timely processing even under network stress. 3. **Sequencing (Ordering)**: Establishing transparent and fair rules for transaction ordering within blocks. This addresses issues like Miner Extractable Value (MEV), where entities controlling block construction can exploit information asymmetry (e.g., through front-running). Clear sequencing rules are necessary to prevent replicating the information advantages of traditional centralized intermediaries. 4. **Privacy**: Protecting the confidentiality of transaction intent *before* execution to prevent information leakage and market manipulation (like front-running), while maintaining post-execution transparency for auditability. Cryptographic techniques like timelock and threshold encryption are explored to hide transaction details until they are safely sequenced. The article concludes that blockchain's journey as financial infrastructure requires moving beyond raw speed. True adoption depends on providing the predictability, resilience, fair sequencing, and pre-execution privacy that institutions expect from core market systems.

marsbit8h ago

Decoding a16z Crypto: The Four Key Capabilities for Blockchain to Evolve into Financial Infrastructure

marsbit8h ago

South Korea Announces Securities Tokenization Timeline: First Batch of Tokenized Assets to Include Bonds, Funds, and Unlisted Stocks

South Korea's Financial Services Commission (FSC) has unveiled a three-phase roadmap for tokenizing securities, positioning itself as a potential first-mover with dedicated legislation. Following the formal enactment of amended laws in February 2027, Phase 1 will begin with tokenized private market assets, including bonds, institutional money market funds, and unlisted stocks (via trust beneficiary certificates). Existing licensed securities firms can operate without new permits, with specific rules for non-financial platform operators and investor limits. Phase 2 will expand to publicly issued securities, contingent on the stability of initial systems and market readiness. The final Phase 3 aims to enable on-chain settlement using stablecoins, pending separate stablecoin legislation. The announcement contrasts sharply with rapid, decentralized approaches like Robinhood's recent tokenization of stocks, which sparked controversy. South Korea's path prioritizes legal clarity and infrastructure, starting with controlled, institutional markets before broadening access. While this methodical approach may sacrifice speed, it seeks to establish a clear regulatory foundation. The global race for tokenization is highlighting divergent strategies between regulated, incremental models and faster, more open but less certain alternatives.

marsbit18h ago

South Korea Announces Securities Tokenization Timeline: First Batch of Tokenized Assets to Include Bonds, Funds, and Unlisted Stocks

marsbit18h ago

Half a Percent of GDP That Will Change the World: Herman Gref on Humanoids at the Checkout

German Gref, CEO of Sberbank, estimates AI's contribution to global GDP will be less than 1% by 2030, accelerating to around 0.5 percentage points annually thereafter. He warns of a "disruptive transformation" in the next 3-4 years, urging societal preparation. His quantitative forecast aligns with consensus from institutions like the IMF and Goldman Sachs, which project a gradual, long-term economic impact. However, his rhetoric about imminent explosive change seems more aggressive than these incremental models suggest. This discrepancy reflects Sberbank's strategic push: over the past year, Gref has progressed from abstract statements to announcing a specific humanoid robot line, "Green," for retail and service sectors by fall 2026, driven by Russia's labor shortage. While matching international macroeconomic estimates, his timeline appears accelerated, possibly influenced by the bank's product launch ambitions rather than pure economic modeling.

cryptonews.ru21h ago

Half a Percent of GDP That Will Change the World: Herman Gref on Humanoids at the Checkout

cryptonews.ru21h ago

Half a Percent of GDP That Will Change the World: Herman Gref on Humanoid Checkout Cashiers

In an interview, Sberbank CEO Herman Gref forecasts that AI's contribution to global GDP will be under 1% by 2030, with annual growth accelerating to about 0.5 percentage points thereafter. He describes this as the most dramatic technological impact on the economy and lifestyles, predicting an "explosive shift" within 3-4 years, necessitating public preparation. This quantitative assessment aligns with consensus from institutions like the IMF, Goldman Sachs, and the Bank of Canada. However, the rhetoric of imminent, explosive change contrasts with their models, which describe a gradual, non-linear adoption process where initial infrastructure investments precede widespread productivity gains. The interview reveals a strategic, long-standing focus from Sberbank. Gref has consistently emphasized "physical AI" replacing low-skilled jobs since 2025. By 2026, this evolved into a concrete plan: Sberbank will launch its "Green" line of humanoid robots for retail, food service, and manufacturing in fall 2026. This push is partly driven by Russia's labor shortage and Sberbank's internal projections of significant productivity gains. Thus, while Gref's GDP figures reflect mainstream economic forecasts, his shorter timeline for disruptive change appears influenced by Sberbank's own product launch cycle and commercial strategy. An unaddressed critical risk is whether Russia's computational infrastructure and energy capacity can support training such advanced AI models at a scale competitive with global leaders.

cryptonews.ru23h ago

Half a Percent of GDP That Will Change the World: Herman Gref on Humanoid Checkout Cashiers

cryptonews.ru23h ago

Shocking News: Middle Eastern Tycoons Launch 'Pure-Blood' Large Model, with MiniMax as the Backbone?

Breaking News: Saudi Arabia's "Pure-Blood" AI Model Reveals Chinese Foundation Saudi Arabia recently unveiled its "100% Saudi" national large language model, HUMAIN M3, touted as surpassing top global models and perfectly aligned with Arabic language and culture. However, it was quickly discovered that the model's core is based on MiniMax's M3 model from China. Official statements later confirmed HUMAIN as a strategic partner of MiniMax. This partnership signifies a new paradigm for Chinese AI going global. Rather than simply exporting applications or APIs, Chinese foundational models are becoming the technological base for other countries' sovereign AI systems. Saudi Arabia, backed by its sovereign wealth fund, licensed MiniMax's powerful 428-billion parameter Mixture-of-Experts (MoE) architecture. They then performed extensive post-training with over 1 trillion high-quality Arabic tokens, creating a model that dominates Arabic-language benchmarks, outperforming giants like GPT and Claude in that domain. The move addresses a critical need for "Sovereign AI" among non-English speaking nations. Countries like Saudi Arabia are wary of data dependency on US tech giants due to risks of sanctions, compliance issues, and cultural mismatch. Chinese open-source models offer a compelling alternative: a state-of-the-art, controllable foundation that can be deeply customized with local data, language, and values. This collaboration represents a strategic alignment. Saudi Arabia, pursuing its Vision 2030 with massive AI investments, gains cutting-edge technology and "digital sovereignty." China expands its influence by providing the essential "plumbing" for next-generation AI ecosystems worldwide. It marks a shift where China is no longer just a rule-follower in the tech stack but is becoming a foundational rule-maker, building the core infrastructure upon which other nations develop their AI futures.

marsbitYesterday 13:13

Shocking News: Middle Eastern Tycoons Launch 'Pure-Blood' Large Model, with MiniMax as the Backbone?

marsbitYesterday 13:13

South Korea Unveils Plans to Tokenize Stocks, Bonds and Funds

South Korea's Financial Services Commission (FSC) has announced a three-phase plan to develop infrastructure for tokenizing a wide range of traditional securities, including stocks, bonds, and funds. The tokenized securities market is scheduled to launch in February 2027 with the enactment of the new Tokenized Securities Act. The initial phase will focus on privately placed money market funds, corporate bonds for institutional investors, unlisted stocks via trust structures, and publicly offered fractional investment securities. Subsequent phases will expand to publicly offered securities and eventually introduce on-chain settlement connected to payment instruments like stablecoins, pending technological progress and legislation. The FSC stated that existing licensed financial firms will not need a separate license to handle tokenized securities. This initiative represents a significant step by South Korea to integrate blockchain-based securities into its existing capital markets framework.

TheNewsCryptoYesterday 11:49

South Korea Unveils Plans to Tokenize Stocks, Bonds and Funds

TheNewsCryptoYesterday 11:49

South Korean regulators unveil roadmap for tokenized securities

The Financial Services Commission (FSC) of South Korea has unveiled a three-phase roadmap for establishing a regulatory and infrastructural framework for tokenized securities. Under this plan, tokenized securities, encompassing assets like stocks, bonds, and funds, will gain legal recognition as digital forms of securities starting February 4, 2027, following amendments to the Electronic Registration of Stocks and Bonds Act. The first phase will focus on institutional money market funds, bonds, unlisted stocks, and fractional investment securities. This will later expand to all publicly offered securities in the second phase, with the third phase introducing on-chain payments via stablecoins. The FSC will finalize subordinate regulations by the end of September and collaborate with the Korea Securities Depository (KSD) to build the necessary tokenization infrastructure before implementation. This initiative is part of a broader governmental push, which includes a pilot project for using tokenized deposits for government operational expenses, with full-scale launch targeted for late 2026.

cryptonews.ruYesterday 11:21

South Korean regulators unveil roadmap for tokenized securities

cryptonews.ruYesterday 11:21

Hyperliquid's Path to U.S. Compliance: From Permissionless to Permissioned HIP-3

Hyperliquid's evolution from a permissionless platform to a regulated one for the US market is its central narrative. Its core infrastructure, HyperCore, separates functions like trading, clearing, and brokerage in a modular, on-chain system. However, its permissionless, self-custody model conflicts with US regulations requiring registered exchanges (DCM), clearinghouses (DCO), and brokers (FCM). To address this, Hyperliquid has geoblocked the US and launched the Hyperliquid Policy Center (HPC) to advocate for regulatory modernization, allowing licensed entities to build compliant products on its infrastructure. The proposed solution involves HIP-3, a permissioned DEX framework on the testnet. This allows regulated deployers to list markets and whitelist KYC'd users, creating compliant order books. Crucially, liquidity can bridge between these and the native permissionless markets via market makers, preventing fragmentation. Features like direct account control ("PA" payload) mimic traditional broker authorities. The strategy aims to "onshore" Hyperliquid by enabling US firms to use its neutral infrastructure while fulfilling their regulatory duties, keeping the core protocol unchanged.

marsbitYesterday 09:36

Hyperliquid's Path to U.S. Compliance: From Permissionless to Permissioned HIP-3

marsbitYesterday 09:36

'Chain Launching' Is Trending Again, But This Time It's Clearly Different

The trend of "launching new blockchains" is resurging, but with a clear difference from the past approach. Previously, the industry standard was to build a chain first—focusing on technology, ecosystem funds, and developer incentives—and then attempt to attract users. This often resulted in chains with impressive specs but little real adoption. Now, a new model is emerging, exemplified by companies like Robinhood and Circle. Robinhood, with its massive existing user base and active trading platform, is launching its RH chain not as a starting point but as infrastructure to migrate existing financial activity on-chain. Similarly, Circle's upcoming Arc network, designed for financial markets, leverages its established position in stablecoins and payments, with over 100 institutional partners already involved. The key shift is that the chain is becoming the *result* of proven user demand and business scale, not the catalyst for it. These are not generic Layer 1s built for everyone; they are purpose-built networks tailored to specific financial needs—like payments, settlements, and on-chain finance—that general-purpose chains may not optimally serve. This suggests a future where the blockchain landscape diversifies. A few large public chains may remain as liquidity hubs, while companies with substantial users, assets, or transactions will operate specialized chains as integrated backend infrastructure. Ultimately, the chain itself may fade into the background, becoming a seamless part of the user experience rather than a standalone product.

marsbitYesterday 09:30

'Chain Launching' Is Trending Again, But This Time It's Clearly Different

marsbitYesterday 09:30

Bernstein Report Analysis: OCI Revenue Surpasses Alibaba Cloud, Oracle's AI Data Centers Drive Accelerated Growth in FY27

Bernstein Research highlights Oracle's accelerating cloud infrastructure (OCI Gen 2) growth. In FY26, OCI revenue reached $18.1 billion, surpassing Alibaba Cloud and growing 77% year-over-year, outpacing AWS, Azure, and Google Cloud. The report maintains an "Outperform" rating with a $325 price target. This growth is driven by large-scale AI data center deployments, sovereign cloud demand, and Oracle's multi-cloud database strategy (Database@AWS/Azure/Google Cloud). Despite significant projected capital expenditure (FY27: $92.8B), Bernstein argues concerns are overblown. Oracle's core, high-margin software businesses (Database, Fusion ERP, NetSuite), generating strong cash flow, are funding the OCI expansion. Key points: AI data centers contributed ~$6.6B (36%) of OCI revenue in FY26. Growth-type software revenue now accounts for 38% of total software revenue, indicating an improving business mix. Oracle's flexible capex strategy and solid cash position ($31.3B at FY26-end) mitigate funding risks. The report concludes Oracle is successfully transitioning from a software company to a major infrastructure player.

marsbitYesterday 08:11

Bernstein Report Analysis: OCI Revenue Surpasses Alibaba Cloud, Oracle's AI Data Centers Drive Accelerated Growth in FY27