# Сопутствующие статьи по теме Data

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

In the AI Era, Data is the New Oil: How Can We Ordinary People Go from Exploration to Selling Gasoline?

The article reinterprets the popular metaphor "data is the new oil" for the AI era, arguing that it is not just relevant for tech giants but also actionable for ordinary individuals. It breaks down the process into a practical framework mirroring the oil industry: exploration (finding data), refining (processing data), and selling (monetizing outputs). For exploration, individuals should tap into two types of "oil fields": personal private data (e.g., work notes, emails, decision logs) and public data sources (e.g., articles, podcasts, social media), while avoiding low-quality AI-generated content. The refining stage involves using AI tools (like ChatGPT or Gemini) not as ends in themselves but as part of a broader "refinery"—a personal system of methodologies, prompts, and workflows. The final and most challenging step is monetization: AI outputs are often non-standard (e.g., custom scripts, reports, or advice) and require identifying a target audience—whether for personal use, businesses, or consumers. The article also emphasizes the need for "environmental cleanup" to avoid digital clutter, outdated tools, and unnecessary subscriptions. Ultimately, it urges readers to focus on building their own data reserves, refining processes, and defining their "gas station" (distribution channel) rather than being passive consumers of AI hype.

marsbit01/19 11:08

In the AI Era, Data is the New Oil: How Can We Ordinary People Go from Exploration to Selling Gasoline?

marsbit01/19 11:08

xAI's Trump Card: Why Grok 5 Could Become the Strongest Model in 2026?

xAI's Grok 5, a 7-trillion-parameter model set for release in 2026, is positioned to become the most powerful AI model due to four key advantages. First, xAI has a massive compute advantage, with plans to deploy 1 million GPUs across multiple data centers, including custom power solutions like airlifted gas turbines and Tesla Megapacks to bypass grid limitations. Second, it leverages real-time data from X (Twitter), processing over 100 million posts daily for training, enabling superior cultural and trend awareness. Third, X’s distribution network—700 million DAU and 6 billion MAU—provides a built-in user base and integration potential for an "everything app." Finally, xAI benefits from physical AI integration through Tesla’s autonomous vehicles and Optimus robots, which supply real-world data and act as deployment platforms. Despite risks like Musk’s controversies, execution challenges, and potential shifts in scaling laws, xAI’s ecosystem strategy may secure its lead.

marsbit01/19 09:57

xAI's Trump Card: Why Grok 5 Could Become the Strongest Model in 2026?

marsbit01/19 09:57

Ozak AI x Openledger xSpaces Dives Into Trustworthy Data Infrastructure for Autonomous AI

Ozak AI and Openledger are co-hosting an xSpaces session on January 13th to explore the critical role of trustworthy data infrastructure for the future of autonomous AI. As AI systems take on greater responsibilities, the need for verifiable, transparent, and tamper-proof data has become essential. The discussion will focus on how reliable data enables scalable, profitable, and accountable AI agents, with Openledger providing the verifiable data frameworks. Key speakers include Ozak AI's CEO Pax Reid and Openledger's Ram Kumar. The context is strengthened by Ozak AI's recent momentum, including over $5.6M in funding, exchange listings, and the live launch of its EON platform, which has undergone security audits. This session highlights how data integrity is the foundational layer for the next generation of AI.

TheNewsCrypto01/15 04:41

Ozak AI x Openledger xSpaces Dives Into Trustworthy Data Infrastructure for Autonomous AI

TheNewsCrypto01/15 04:41

Bitcoin ‘Record’ LTH Selling Inflated By Exchange Transfers, CryptoQuant Head Says

CryptoQuant's head of research, Julio Moreno, clarifies that the recent record-high Bitcoin long-term holder (LTH) selling was significantly inflated by internal exchange transfers. While the 30-day LTH spending reached 1.55 million BTC in November, approximately 0.65 million BTC of that was due to internal wallet movements within Coinbase, not actual economic selling. After adjusting for these transactions, the adjusted LTH distribution peaked at 0.9 million BTC, making it the fifth highest on record rather than a new all-time high. This pattern of internal transfers exaggerating LTH selling has occurred before, notably in December 2018. Despite the selloff, Bitcoin's price remained strong at around $93,800, up 7% over the past week.

bitcoinist01/07 08:02

Bitcoin ‘Record’ LTH Selling Inflated By Exchange Transfers, CryptoQuant Head Says

bitcoinist01/07 08:02

Zcash Is Just the Beginning: How a16z Redefines the Privacy Narrative for 2026?

In "Privacy trends for 2026," a16z crypto argues that privacy will become the most critical differentiator and moat in the crypto industry. Unlike performance, which has become a commoditized feature, privacy creates strong network effects and chain-level lock-in. Moving assets between transparent chains is easy, but moving secrets between privacy chains risks exposing metadata, making users reluctant to switch. This could lead to a winner-take-most dynamic, with a few privacy-focused chains capturing most value. The article also highlights the need for decentralized, quantum-resistant communication protocols. Current messaging apps rely on centralized servers, which are vulnerable to shutdowns or backdoors. Truly robust systems require open protocols,开源 code, and user ownership of messages and identity via private keys. Another key trend is the emergence of "Secrets-as-a-Service" – a new infrastructure layer for programmable data access control, client-side encryption, and decentralized key management. This would provide cryptographic guarantees for who can access what data and under which conditions, making privacy a native feature rather than an add-on. Finally, security practices must evolve from "code is law" to "specification is law." Instead of relying on audits and pattern recognition, DeFi needs principled methodologies that enforce global invariants at the protocol level. AI-assisted proof tools and runtime assertions can act as real-time guardrails, automatically reverting any transaction that violates core security properties.

Odaily星球日报01/07 06:43

Zcash Is Just the Beginning: How a16z Redefines the Privacy Narrative for 2026?

Odaily星球日报01/07 06:43

Violent Attacks On Crypto Holders Escalate Worldwide, Data Shows

Data shows a significant escalation in violent "wrench attacks" – physical robberies and kidnappings targeting cryptocurrency holders to force asset transfers – both in frequency and severity worldwide. Security researcher Haseeb Qureshi analyzed an incident database maintained by Jameson Lopp, finding 269 categorized attacks, with over half classified as "Serious" and 5% as "Fatal." The data indicates attacks are becoming more violent over time, with 2025 showing the highest incident count. Approximately 45% of the variation in attacks is explained by crypto market capitalization, meaning higher prices correlate with more incidents. However, when normalized per user (using Coinbase active users as a proxy), attack rates spiked in earlier market cycles, fell after 2019, and have recently risen again toward 2021 levels. Geographically, Western Europe and North America have the most incidents, but Latin America and Africa have significantly higher fatality rates. Notably, zero fatal attacks have occurred in North America. Researchers warn these events are transitioning from rare occurrences to a recurring risk for crypto participants.

bitcoinist01/06 04:03

Violent Attacks On Crypto Holders Escalate Worldwide, Data Shows

bitcoinist01/06 04:03

The 'Mastermind' Behind the Venezuela Incident? An Article to Unravel the AI Intelligence Empire—Palantir

Venezuela Event and the "AI Intelligence Empire": A Look at Palantir Global attention has recently focused on a swift, high-precision operation in Venezuela, with speculation that Palantir Technologies—a data integration and AI decision-making company whose stock surged nearly 20-fold in two and a half years—provided the digital intelligence backbone. Although no official confirmation exists, the company's reputation and past involvement in missions like the capture of Osama bin Laden have fueled market narratives linking it to the operation. Founded in 2003 by Peter Thiel, Palantir operates as a data and AI-driven operating system for governments, militaries, and large enterprises. Its core capability lies in its Ontology" model, which integrates disparate data sources into a unified semantic framework, enabling real-time situational awareness and decision-making in high-stakes environments like military and intelligence operations. Beyond defense, Palantir has expanded into the crypto sector with “Foundry for Crypto,” offering compliance, anti-money laundering, and risk management solutions for exchanges and institutions. It serves as infrastructure—not a direct participant—in crypto. While founders like Thiel are personally bullish on Bitcoin, the company remains focused on its role as an enterprise AI and data platform. Palantir embodies multiple narratives: a tool for national security, a driver of enterprise digital transformation, and a behind-the-scenes actor in geopolitics and crypto compliance.

marsbit01/06 03:51

The 'Mastermind' Behind the Venezuela Incident? An Article to Unravel the AI Intelligence Empire—Palantir

marsbit01/06 03:51

The Pentagon's Pizza, Polymarket's Money

Summary: During the Cold War, Soviet agents monitored late-night pizza deliveries to the Pentagon as an indicator of imminent military action, a pattern later dubbed the "Pentagon Pizza Index." In 2024, a Twitter account @PenPizzaReport automated this surveillance using Google Maps data to track foot traffic at pizzerias near the Pentagon, accurately predicting events like Israel's airstrike on Iran and the U.S. raid in Venezuela. Concurrently, on the prediction market Polymarket, three newly created wallets placed large, well-timed bets on Venezuelan leader Maduro's ousting, netting $630,000 just hours before the operation. This highlights a shift in how information is accessed and monetized: once a secret intelligence tool, predictive signals are now public, blurring lines between open data, insider knowledge, and speculative profit.

marsbit01/04 06:43

The Pentagon's Pizza, Polymarket's Money

marsbit01/04 06:43

Rezolve Ai Launches SQD Revenue Model to Power Enterprise Blockchain Data Services

Rezolve Ai (NASDAQ: RZLV) has announced the launch of Revenue Pools by its subsidiary SQD Network, designed to support enterprise blockchain data services for major clients like Deutsche Telekom, Morpho, and PancakeSwap. The model requires large customers to pay subscription fees for data access, while SQD token holders can temporarily lock their tokens to support infrastructure capacity. In return, participants receive a share of revenue in stablecoins. This approach aims to align customer usage with network economics, reduce token circulation through buybacks and lockups, and strengthen long-term sustainability. SQD tokens are traded on exchanges like Coinbase and Binance. The initiative is expected to scale with growing corporate demand.

TheNewsCrypto12/29 20:06

Rezolve Ai Launches SQD Revenue Model to Power Enterprise Blockchain Data Services

TheNewsCrypto12/29 20:06

Reading Trends from Data: The Logic Behind the Crypto Market Rebound and Potential Risks

Analysis of the crypto market rebound and underlying risks, based on data for the week of Dec 20-26. Bitcoin found technical support at the $85,000 level, bouncing from a low of $84,500. While a technical rebound is underway, key data suggests the market is not yet on a solid footing for a sustained trend reversal. Key short-term data points show mixed picture: * **Stablecoins:** Net issuance remained negative at -$326M, but the outflow rate slowed by 60% week-over-week. * **BTC ETFs:** Net outflows worsened significantly to -$664.37M, a crucial headwind. A return to net inflows is deemed essential for a true reversal. * **OTC Premiums:** USDT and USDC premiums fell to 97.86% and 98.36% respectively, indicating weak demand and persistent capital outflows. * **ETH ETFs:** Outflows narrowed considerably to -$139.53M from the previous week, providing some relative stability for Ethereum. Mid-term on-chain data revealed minor accumulation by addresses holding 100-1K BTC, while larger wallets (10K-100K BTC) reduced holdings. Strong筹码 accumulation was noted near the $87,100 price point, suggesting it could become a key support level. The altcoin market (TOTAL3) saw a modest 1.95% gain but overall sentiment remained weak. Key observations include: * Low trading activity and a subdued market sentiment index. * BTC dominance held high at 65.76%, indicating altcoins continue to underperform Bitcoin. * Meme coins and high-profile tokens saw sporadic gains, but lacked sustained, broad-based momentum. * TVL across major chains saw minor increases, with Base chain standing out with a 4.76% TVL growth. In conclusion, while technical indicators suggest a potential for rebound from oversold conditions, persistent ETF outflows, weak stablecoin demand, and low altcoin momentum highlight significant underlying risks. The market requires a fundamental shift in capital flows, particularly into ETFs, to confirm a durable upward trend.

marsbit12/29 04:13

Reading Trends from Data: The Logic Behind the Crypto Market Rebound and Potential Risks