# 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.

How to Build a Polymarket Passive Income Bot from Scratch

Polymarket, a leading prediction market platform on Polygon, allows users to bet on real-world events using USDC. Its open API, transparent order book, low fees, and numerous human traders making errors create a fertile ground for automated trading bots. This article breaks down bot strategies from basic to advanced. Beginner-level bots include airdrop farming bots that generate volume by repeatedly buying and selling the same position, and volatility捕捉 bots that bet on mean reversion after sharp price swings. Intermediate strategies involve market-making bots, which profit from bid-ask spreads and liquidity rewards by placing limit orders, though they require significant capital and risk losses during sudden market moves. Advanced bots include arbitrage bots that exploit pricing inefficiencies between related outcomes (e.g., YES/NO shares summing under 100%), and AI-powered bots that integrate multiple data sources—historical prices, news, on-chain activity, social sentiment—to identify mispriced probabilities and execute trades across hundreds of markets. All bots require access to Polymarket’s API, a Polygon wallet for USDC transactions, historical data storage (e.g., PostgreSQL), and a Python-based toolchain. Bots succeed due to their speed, discipline, scalability, and data-processing capabilities. However, effective risk management is crucial, as strategies can fail due to liquidity issues, unexpected news, or intense competition. Building a profitable AI bot is particularly resource-intensive, akin to running a startup.

Odaily星球日报12/10 03:15

How to Build a Polymarket Passive Income Bot from Scratch

Odaily星球日报12/10 03:15

JPMorgan's 2026 Global Investment Outlook: Economic 'K-Shaped Divergence' Continues; AI Adoption Soars

JPMorgan's 2026 Global Investment Outlook highlights a continued "K-shaped" economic divergence in the U.S., where high-income groups and technology sectors benefit significantly, while middle- and lower-income populations and interest-rate-sensitive industries face ongoing pressure. The U.S. economy is expected to remain resilient, supporting risk assets like equities and corporate credit, though cyclical momentum is limited. The Federal Reserve will continue normalizing interest rates cautiously amid potential volatility. Key investment themes include balancing portfolios across stocks, bonds, and alternative assets to capture structural opportunities and diversify returns. Three critical questions for investors are whether stocks are overvalued, if profits can remain strong, and whether AI-related stocks are in a bubble. Growth stocks, particularly in technology, remain attractive due to strong earnings, while consumer stocks lag due to tax and spending pressures. AI beneficiaries extend beyond innovators to enablers (industrials, utilities) and adopters (finance, healthcare). Fixed income investments should focus on high-quality assets, with longer-duration bonds offering potential upside if rates decline. Despite a recent increase in international equity allocations, U.S. equities remain overweighted. The "60/40" stock/bond model is evolving into "60/40+" by incorporating alternatives for lower correlation and reduced volatility. Structural improvements in international markets and a weaker dollar support non-U.S. equities. Investors are advised to emphasize selectivity, diversification, and active management in a complex macro environment.

cointelegraph_中文12/09 21:54

JPMorgan's 2026 Global Investment Outlook: Economic 'K-Shaped Divergence' Continues; AI Adoption Soars

cointelegraph_中文12/09 21:54

Tether Invests in Humanoid Robots. When Will They Be Launched

Tether, the company behind the USDT stablecoin, has invested in humanoid robotics through a €70 million funding round in Generative Bionics, a spin-off from the Italian Institute of Technology (IIT). The startup is developing "physical AI" robots for industrial use and human interaction, leveraging two decades of IIT research. Tether stated these investments support technologies that "expand human potential and reduce reliance on centralized systems." The first industrial deployment programs for these robots are planned for early 2026, targeting manufacturing, logistics, healthcare, and retail sectors. A full concept of the humanoid robot will be unveiled at the CES exhibition in Las Vegas. Tether investment portfolio also includes AI, financial services, energy, and biotech.

RBK-crypto12/09 09:19

Tether Invests in Humanoid Robots. When Will They Be Launched

RBK-crypto12/09 09:19

Why is Crypto the Key Infrastructure for the Large-Scale Adoption of AI Agents?

Why Crypto is Key Infrastructure for AI Agent Mass Adoption For AI Agents to become widely deployable autonomous software, they require two core capabilities: composability and verifiability. These are inherently lacking in traditional Web2 systems but are natively provided by cryptocurrency networks. AI's future lies not in isolated models but in agents that automatically call services, compose with other agents, write code, test, and execute decisions involving financial actions. This agent composability depends on verifiability—knowing another agent executed as promised. Web2 infrastructure (APIs and SaaS) fails here due to black-box operations, mutable data, unprovable results, centralized audits, and manual settlements. Cryptocurrency provides the missing verified base layer through: 1. Verifiable Execution: Smart contracts and ZK proofs enable transparent, provable on/off-chain actions. 2. Verifiable Identity: DIDs and signed agent code ensure trust and integrity. 3. Verifiable Value Transfer: Automated payments, revenue sharing, collateralization, and penalties enable direct fund management without intermediaries. As AI evolves from code generation to full-cycle automation (writing, testing, running, fixing), especially with real-world financial impact, crypto becomes essential. It enables automatic penalties for failures, rewards for contributions, multi-agent settlements, and trustless coordination—making AI economically viable beyond demos. In short: AI enables autonomy; crypto makes autonomy trustworthy. Without crypto's verifiability, AI agents cannot operate reliably at scale in the real economy.

深潮12/09 03:58

Why is Crypto the Key Infrastructure for the Large-Scale Adoption of AI Agents?

深潮12/09 03:58

Crypto Morning Brief: HashKey Discloses IPO Details, SEC Concludes Two-Year Investigation into Ondo

Crypto Briefing: HashKey Group, the parent company of Hong Kong's licensed exchange HashKey Exchange, has disclosed its public offering details, aiming to raise up to HK$1.67 billion with trading expected to begin on December 17. In regulatory developments, the U.S. SEC has closed its two-year investigation into Ondo Finance without filing charges, continuing a trend of dropped cases under its current leadership. Meanwhile, the CFTC launched a digital asset pilot program allowing Bitcoin, ETH, and USDC as collateral in derivatives markets. Major U.S. bank CEOs are set to meet with senators to discuss crypto legislation, focusing on stablecoin regulations. In other news, Bittensor will undergo its first token halving on December 14, reducing daily TAO issuance to 3,600. Binance confirmed an employee misused internal information for personal gain and has suspended them. MicroStrategy purchased an additional 10,624 BTC, bringing its total holdings to 660,624 BTC. Ripple completed a $500 million share sale with special investor protection clauses. Market commentary included a UAE official calling Bitcoin a key pillar of future finance, while Chinese media warned against risks in currency innovation.

深潮12/09 01:13

Crypto Morning Brief: HashKey Discloses IPO Details, SEC Concludes Two-Year Investigation into Ondo

深潮12/09 01:13

BitPush Daily News Digest: Strategy Increases Bitcoin Holdings by 10,624, Total Reaches 660,624; BitMine Adds 138,452 ETH Last Week, Tom Lee Bullish on Ethereum; US CFTC Approves Ethereum, Bitcoin, and USDC as Collateral in Derivatives Market

Bitpush Daily News Digest: Strategy has purchased an additional 10,624 BTC for approximately $962.7 million, bringing its total holdings to 660,624 BTC with an average cost of $74,696 per coin. BitMine announced it increased its ETH holdings by 138,452 tokens last week. The company now holds a total of $13.2 billion in assets, including 3,864,951 ETH, 193 BTC, equity in Eightco Holdings, and $1 billion in cash. Fundstrat Chairman Tom Lee expressed strong confidence in ETH's price performance in the coming months, citing the recent Fusaka upgrade and key Federal Reserve actions, including the end of quantitative tightening and an expected rate cut. The U.S. CFTC has approved a new pilot program allowing Bitcoin, Ethereum, and USDC to be used as collateral in derivatives markets, building on earlier efforts to expand the use of tokenized collateral. In other financial news, Morgan Stanley analysts predict a bull market for U.S. stocks in 2026, driven by broadening market leadership and improved corporate profits. Ray Dalio commented that the biggest winners in AI will be the users, not giant corporations, and advised investing in companies that leverage AI for efficiency. Former President Donald Trump announced he will issue a "single rule" executive order this week to create a unified national regulatory framework for AI, warning that a state-by-state approval process would "destroy AI in its infancy."

比推12/09 00:08

BitPush Daily News Digest: Strategy Increases Bitcoin Holdings by 10,624, Total Reaches 660,624; BitMine Adds 138,452 ETH Last Week, Tom Lee Bullish on Ethereum; US CFTC Approves Ethereum, Bitcoin, and USDC as Collateral in Derivatives Market

比推12/09 00:08

A Quick Look at BlackRock's 2026 Investment Guide: Betting on AI U.S. Stocks, Shorting Long-Term U.S. Bonds, AI Financing Wave May Push Up Interest Rates

BlackRock's 2026 Investment Outlook highlights AI as the dominant force reshaping the global economy and market structure. The report emphasizes that AI-driven capital-intensive expansion is breaking through boundaries in finance, energy, and policy, making markets more reliant on a few key drivers. Investors must actively position themselves amid this structural shift, as traditional diversification strategies may no longer suffice. Key themes include: - **AI Investment Surge**: Corporate AI spending is expected to reach $5-8 trillion by 2030, supporting U.S. economic growth even amid a cooling labor market. However, massive upfront investments may require significant debt financing, potentially raising leverage and interest rates. - **Concentrated Market Reliance**: U.S. equity returns are increasingly driven by AI, reducing the effectiveness of traditional diversification. Long-term U.S. Treasuries are viewed unfavorably due to upward pressure on yields from high financing demand. - **Stablecoin Evolution**: Stablecoins are transitioning from crypto tools to bridges between digital and traditional finance, with growing use in payments and cross-border transactions. Regulatory developments, like the U.S. Genius Act, could intensify competition with bank deposits. - **Strategic Allocation Preferences**: BlackRock maintains an overweight stance on U.S. stocks, particularly AI-themed equities, and Japanese stocks due to corporate reforms. It is underweight long-term developed market bonds, including Japanese and European sovereign debt. Emerging markets like India are favored for demographic advantages and strategic positioning. The report advises investors to seek active, granular strategies—such as private markets and hedge funds—to navigate this new era of concentrated, AI-driven growth.

cointelegraph_中文12/08 09:26

A Quick Look at BlackRock's 2026 Investment Guide: Betting on AI U.S. Stocks, Shorting Long-Term U.S. Bonds, AI Financing Wave May Push Up Interest Rates

cointelegraph_中文12/08 09:26

Macro Outlook This Week: The Decisive Battle Over the Fed's "Hawkish Rate Cut," A Crucial Test for the AI Narrative

This week (Dec 9-15) is dominated by two major themes: the Federal Reserve's final rate decision of the year and key developments in AI. The Fed is widely expected to cut rates by 25 basis points. The real focus, however, is on whether the move is accompanied by a "hawkish" tone. The central bank may signal a more cautious path for future cuts in 2025 to manage internal dissent and inflation concerns. The market's reaction is uncertain: it could either heed this warning (pressuring tech stocks and crypto) or ignore it, choosing instead to focus on anticipated aggressive easing under the incoming Trump administration—a scenario known as the "Hassett Trade." Concurrently, the AI narrative faces critical tests. Rumors suggest OpenAI may surprise-launch its GPT-5.2 model early, which could significantly boost sentiment across tech and crypto AI tokens. Furthermore, earnings reports from key AI infrastructure firms Broadcom and Oracle will serve as a crucial barometer for the strength of AI-related capital expenditure. Investors are warned of extreme volatility, particularly due to reduced liquidity from early market closures on Wednesday and a full U.S. market holiday on Thursday. The core events are the FOMC decision, updated economic projections (dot plot), and Chair Powell's press conference at 03:00 GMT on Thursday, followed by Broadcom's earnings. The advice is to reduce leverage ahead of this high-stakes volatility.

marsbit12/08 06:59

Macro Outlook This Week: The Decisive Battle Over the Fed's "Hawkish Rate Cut," A Crucial Test for the AI Narrative

marsbit12/08 06:59

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