# Сопутствующие статьи по теме AI

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

a16z Crypto's Latest Article: Why Do We Need Prediction Markets?

Prediction markets allow people to trade on the outcome of future events. They function as markets that aggregate dispersed information into a price signal, which represents the collective probability of an event occurring. By creating assets that pay out only if a specific outcome happens, these markets enable participants to bet based on their knowledge and beliefs. These markets have historical precedents, like 16th-century papal selection bets, and modern foundations in economics and market design. They offer advantages over traditional forecasting tools like polls: they provide direct probability estimates, update in real-time, and incentivize participants with real financial stakes to contribute accurate information. This can lead to more informed predictions, even for highly specific questions—such as which AI model performs best on certain tasks—that aren't covered by traditional commodity or stock markets. However, prediction markets face challenges. Infrastructure is needed to verify outcomes and ensure transparent, auditable operations. Market design must encourage participation from diverse, informed individuals while mitigating issues like insider trading or manipulation attempts aimed at distorting public perception. Despite these hurdles, with proper design focusing on transparency and participation management, prediction markets have significant potential as a core tool for forecasting the future.

marsbit06/02 14:34

a16z Crypto's Latest Article: Why Do We Need Prediction Markets?

marsbit06/02 14:34

Fidelity's Mid-Year Review: 6 Key Digital Asset Trends for 2026

Fidelity Digital Assets' mid-year review of its "2026 Digital Assets Outlook" reports progress on several key structural trends, despite mixed short-term price action. The integration of digital assets with traditional capital markets is advancing, evidenced by strong demand for regulated products like spot Bitcoin ETPs and growing tokenization activity by financial institutions. Regulatory clarity is also improving. Token holder rights mechanisms are being tested more widely, though a clear pricing premium for them has yet to materialize. Competition from AI compute demand may be impacting Bitcoin mining, as hash rate growth shows signs of slowing, potentially indicating a shift of infrastructure. Bitcoin's network dynamics are at a turning point, with increased data capacity not straining the blockchain, but attention shifting to node client distribution and early work on post-quantum security upgrades. A bearish macro environment has dominated 2026 so far, with Bitcoin down 13% amid inflation and geopolitical uncertainty, though underlying institutional adoption continues. Gold has outperformed, supported by central bank demand and dedollarization trends, while Bitcoin's expected subsequent outperformance has not yet occurred. The conclusion is that foundational forces for long-term growth are strengthening beneath short-term market volatility.

marsbit06/02 13:28

Fidelity's Mid-Year Review: 6 Key Digital Asset Trends for 2026

marsbit06/02 13:28

Pantera Partner: In the Age of Agents, Blockchain is the Inevitable Answer for AI

Summary: AI and blockchain are converging around four key pillars: payment settlement, identity systems, open systems, and resource aggregation, with commercial projects already emerging in each area. The two technologies are fundamentally complementary: AI enables infinite supply (content, agents), while blockchain establishes scarcity and verifiable ownership. AI agents generate content and services, and blockchain handles the verification and value settlement. A significant valuation mismatch exists, with leading AI companies historically overvalued compared to crypto assets, despite their deep underlying integration. The emergence of autonomous AI agents—which require assets, value transfer, and large-scale coordination—creates a need for a non-human-centric financial infrastructure. Blockchain, with its programmability, 24/7 access, and low-trust settlement, is the only suitable foundation. AI agents will not use traditional bank accounts or payment rails; they will transact using stablecoins and on-chain systems. Examples include OpenFX, which settles hundreds of billions in forex trades on-chain for AI agents, and Alchemy, a core development platform. For human identity verification in an age of AI-generated content, projects like World (Worldcoin) use blockchain-based biometric verification, while TransCrypts focuses on self-sovereign identity and verifiable credentials. The current divergence presents a unique investment opportunity. AI valuations are highly elevated, while crypto assets trade at a significant discount, even though the future smart agent economy will be built on blockchain infrastructure. The fusion of AI and blockchain is not a future trend but an ongoing reality, creating a prime environment for entrepreneurs in areas like agent-native finance, decentralized identity, and on-chain AI coordination.

marsbit06/02 13:12

Pantera Partner: In the Age of Agents, Blockchain is the Inevitable Answer for AI

marsbit06/02 13:12

AMD Stock Price Forecast 2026 to 2030: Wall Street Signals a Major $657 Target!

AMD's stock has seen a dramatic rally, rising over 130% year-to-date to around $510 as of mid-2026. This surge is driven by a fundamental shift in the company's business, with its Data Center segment now the core contributor, posting a record $5.8 billion in Q1 2026 revenue (up 57% YoY) and exceeding 50% of total revenue for the first time. CEO Dr. Lisa Su raised the long-term server CPU Total Addressable Market (TAM) forecast to over $120 billion annually by 2030. Analyst sentiment is bullish. The consensus rating is a "Strong Buy" with a 12-month average price target of $472.17, though several firms have recently set higher targets, with Barclays issuing a street-high target of $665. Long-term models project a 2030 price range of approximately $493 to $822, with a baseline scenario near $657, anchored to AMD's expanded TAM guidance. Key growth catalysts include strong demand for EPYC server CPUs and Instinct AI GPUs, partnerships with OpenAI and Meta, and the upcoming MI450 series and Helios rack-scale platform. However, significant risks remain, including a high forward P/E ratio exceeding 169x and increased competition, notably from NVIDIA's planned entry into the server CPU market. Investors must weigh the strong execution and growth trajectory against these substantial valuation and competitive pressures.

marsbit06/02 13:12

AMD Stock Price Forecast 2026 to 2030: Wall Street Signals a Major $657 Target!

marsbit06/02 13:12

API Stories Can't Support Valuations, AI Giants Start Offering Consulting Services

The AI industry is shifting from simply selling APIs to providing intensive, on-site consulting services, as major players like OpenAI and Anthropic seek new revenue streams to justify high valuations. OpenAI has established "Deploy Co," raising over $40 billion from investors led by TPG at a $140 billion valuation. The deal has an unusual structure, guaranteeing investors a minimum 17.5% return with a profit cap, resembling debt more than equity. OpenAI also acquired the AI consulting firm Tomoro to gain over 150 "Frontline Deployment Engineers" (FDEs). Similarly, Anthropic formed a $15 billion joint venture with Blackstone, Hellman & Friedman, and Goldman Sachs with the same goal: embedding engineers within client companies. A key driver is Anthropic's rapid market share growth, now holding 40% of the enterprise LLM API market compared to OpenAI's 27%, which has put pressure on OpenAI to accelerate its enterprise strategy. Notably, major consulting firms Bain & Company, McKinsey & Company, and Capgemini are among the investors in OpenAI's venture, a move seen as either seeking deeper insight into AI or funding their potential future disintermediation. This pivot is creating a major shift in tech employment. Demand for FDEs—who integrate AI into client workflows on-site—has surged over 800% in the past year, with salaries reaching $350,000-$550,000. Meanwhile, demand for traditional software engineers has declined significantly. The trend marks a strategic inflection point: core AI models are becoming commoditized, while the complex, labor-intensive work of deployment is becoming the new high-value, capitalized service layer. The $55 billion in combined funding represents a bet that hands-on consulting, not just API access, is the future of enterprise AI monetization.

marsbit06/02 11:51

API Stories Can't Support Valuations, AI Giants Start Offering Consulting Services

marsbit06/02 11:51

Reddit Crypto Discussion: Tech Stocks Surge for 8 Months, Is the Crypto Community Starting to 'Accept Fate'?

Reddit Crypto Discussion: Has the Community 'Given Up' as Tech Stocks Soar? A recent post on Reddit's r/CryptoMarkets asking if the crypto market feels "dead" compared to surging tech stocks has sparked intense debate. The discussion highlights a community grappling with underperformance: Bitcoin is down ~44% from its October 2025 high and ~20% YTD in 2026, while the S&P 500 and Nasdaq 100 have gained significantly. The debate features classic opposing views. Some users, citing Bitcoin's history, are "cycle believers" who anticipate a return to form, arguing it has "died" many times before. Others counter that crypto's narratives keep shifting without delivering a stable, compelling real-world use case beyond speculation. A prevalent third view pinpoints AI as the core issue: the tech sector's transformative boom is absorbing all attention and capital, while crypto lacks a comparable, impactful utility. Data supports the pessimistic mood. Bitcoin spot ETFs saw their largest monthly net outflow in May 2026 (~$2.3B), indicating institutional de-risking. The Crypto Fear & Greed Index has fallen to "Fear" levels. When asked about the timing of a potential market rotation back to crypto, answers are uncertain. A key practical point raised is the current high-interest-rate environment, which makes stable yields from cash and bonds attractive, reducing incentive to move into volatile assets like crypto. The underlying anxiety, as one user summarized, is "opportunity cost"—the worry about missing gains elsewhere while waiting for a crypto revival.

marsbit06/02 10:49

Reddit Crypto Discussion: Tech Stocks Surge for 8 Months, Is the Crypto Community Starting to 'Accept Fate'?

marsbit06/02 10:49

Chatbot has been burning money for three years, is it still the 'New Continent' of the AI era?

For years, the AI industry has been guided by a singular "map" — the belief that the AI era's "new continent" would be found in the Chatbot, a super-app akin to the mobile internet's super-apps. This belief was fueled by ChatGPT's explosive 2022 debut. However, three years of heavy investment reveal a different reality: the Chatbot-as-ultimate-entry-point model is struggling. The core issue is economic. Chatbots defy traditional internet economics. Unlike apps with near-zero marginal cost, each AI query consumes significant, expensive compute. More users mean higher costs, not profits. OpenAI, despite ~900M weekly active users, reportedly loses money. The expected network effects and data flywheels that power internet giants are weak in Chatbots, as one user's interactions don't improve another's experience. Monetization is a major hurdle. The subscription model faces low conversion rates, especially in China where users expect AI to be free. The "free + ads" model also struggles. Chatbot interactions often lack commercial intent, and inserting ads compromises the trust essential for an answer engine. Perplexity's minimal ad revenue and subsequent pivot away from ads highlight this difficulty. Switching between Chatbots is easy, making user loyalty low and competition a potential race to the bottom on price. Data suggests the standalone Chatbot's growth is slowing, and user engagement (avg. ~6 mins/day) pales compared to apps like TikTok. The product form itself is limiting; studies show nearly half of interactions are simple Q&A, trapping AI's potential in a passive, single-turn "cage." A contrasting, more successful path is emerging, exemplified by Anthropic. With over 85% of its ~$30B annualized revenue from enterprises, it focuses on AI as a productivity tool, not a companion. The rise of AI Agents (like OpenClaw) and the integration of AI into existing workflows (e.g., Google's AI Overviews, Apple Intelligence in OS) signal a shift. The future may not be a dominant Chatbot app, but AI embedded seamlessly into social apps, operating systems, and hardware — a capability-layer revolution, not a new distribution container. The conclusion is clear: the old "map" centered on a standalone Chatbot super-app is leading to a dead end. To find the true valuable "continent" of the AI era, the industry must update its navigation to prioritize deep integration, practical utility, and sustainable economics over a generic conversation window.

marsbit06/02 10:35

Chatbot has been burning money for three years, is it still the 'New Continent' of the AI era?

marsbit06/02 10:35

Multi-Chain Decentralized Over-Collateralized Stablecoin USDD Debuts at 2026 Istanbul Blockchain Week

On June 2, 2026, the Istanbul Blockchain Week (IBW) commenced at the Istanbul Bomonti Hilton Hotel & Conference Center. During this major two-day Web3 industry event, the multi-chain over-collateralized decentralized stablecoin USDD made its appearance. USDD, in partnership with TRON, established a joint exhibition booth to showcase the latest developments in stablecoin and Web3 ecosystems to attendees. The event, now in its fifth year and organized by EAK Digital, focused on key topics including Real World Asset tokenization (RWA), Artificial Intelligence (AI), stablecoins, regulatory compliance, privacy protection, and Decentralized Finance (DeFi). It attracted numerous leading global Web3 institutions, industry leaders, and innovative projects. USDD aims to leverage this platform to deepen connections with global Web3 resources and further empower its global ecosystem expansion and application adoption.

marsbit06/02 10:01

Multi-Chain Decentralized Over-Collateralized Stablecoin USDD Debuts at 2026 Istanbul Blockchain Week

marsbit06/02 10:01

TaiJi Completes $3.5 Million Strategic Financing with Participation from Castrum Capital, Becker Ventures, and Coinvestor Ventures

TaiJi, an AI-driven market intelligence platform for Web3, has completed a $3.5 million strategic funding round. The investment was led by Castrum Capital, Becker Ventures, and Coinvestor Ventures. The funds will be allocated to product R&D, upgrading its AI inference engine, building a multi-agent analysis system, improving market data infrastructure, expanding its global community, and advancing ecosystem partnerships, particularly within the BSC ecosystem. TaiJi aims to transform how users understand the Web3 market by moving beyond simple data display. It integrates market data, on-chain signals, liquidity changes, social sentiment, and news events into a unified AI system. This system generates structured event inferences, impact pathways, risk assessments, and follow-up indicators. The platform's core approach involves a multi-agent framework where specialized agents (Market, On-chain, Sentiment, Risk, Event) collaboratively analyze disparate signals to produce coherent market intelligence. Its initial product will feature modules including Market Intelligence, a Scenario Engine for AI-powered event analysis, an Impact Map, Risk Signals, and a personalized user dashboard called "My TaiJi." TaiJi emphasizes that it does not custody user assets, execute trades, provide investment advice, or promise returns. Following this funding round, the company plans to accelerate product development and testing, gradually rolling out its core features to the broader Web3 market.

marsbit06/02 09:47

TaiJi Completes $3.5 Million Strategic Financing with Participation from Castrum Capital, Becker Ventures, and Coinvestor Ventures

marsbit06/02 09:47

Huang Renxun and Marvell CEO Discuss on Stage: The Future of AI Competition is Not Computing Power but Connectivity, 'Use Copper Where You Can, Use Optics Only Where You Must'

Summary: At Computex 2024, NVIDIA CEO Jensen Huang joined Marvell CEO Matt Murphy on stage, highlighting the strategic partnership between their companies. The core theme was that the next decisive battleground for AI infrastructure is not compute or memory, but connectivity. As AI models evolve into vast agent-based systems, the ability to connect millions of processors efficiently is becoming the critical bottleneck. Huang announced NVIDIA's strategic $20 billion investment in Marvell, reflecting the deep integration between their technologies for AI data centers. A key discussion point was the transition from copper to optical interconnects within racks. The guiding principle, articulated by Huang, is: "You use optics wherever you must, you use copper wherever you can." While copper remains cost-effective for short distances, its physical limits are being reached as bandwidth demands double. When moving to 400Gbps, copper can no longer fully connect an entire rack. This shift necessitates innovations like Co-Packaged Optics (CPO), which integrates optical engines directly into the chip package to solve density and power challenges. Marvell demonstrated its 51.2T CPO-based switch, eliminating copper traces on the PCB. The future vision is a "distance-free data center," where optical connectivity removes physical constraints. This allows for fully disaggregated, dynamic architectures where compute, memory, and storage pools can be combined on-demand based on workload requirements, rather than being limited by connection boundaries. Marvell, positioned as a neutral "Switzerland" in the ecosystem with a comprehensive portfolio across all connectivity distances, is central to enabling this next era of AI infrastructure.

marsbit06/02 09:41

Huang Renxun and Marvell CEO Discuss on Stage: The Future of AI Competition is Not Computing Power but Connectivity, 'Use Copper Where You Can, Use Optics Only Where You Must'

marsbit06/02 09:41

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