# Infrastructure İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Infrastructure" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

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.

marsbit8 saat önce

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

marsbit8 saat önce

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.

marsbit18 saat önce

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

marsbit18 saat önce

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.ru23 saat önce

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

cryptonews.ru23 saat önce

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.

marsbitDün 13:13

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

marsbitDün 13:13

'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.

marsbitDün 09:30

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

marsbitDün 09:30

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