# AI Agents Related Articles

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

Don't Hand Over Your Right to Think: A Psychological Defense Guide for Web3 People

"Don't Outsource Your Thinking: A Psychological Defense Guide for the Web3 Generation" explores the anxiety and FOMO (Fear Of Missing Out) driven by the rapid emergence of AI tools like OpenClaw in Web3 communities. The author argues that many adopt these technologies not for practical utility, but to avoid decision-making fatigue and gain social validation, leading to loss of autonomy and increased anxiety. Key psychological factors include decision fatigue, herd mentality, and the fear of being left behind. The article suggests strategies to counter this: imposing a 24–48 hour cooling-off period before adopting new tools, seeking out critical perspectives to break echo chambers, using AI as a collaborative partner rather than a replacement, and focusing on human skills like empathy and trust-building that AI cannot replicate. The core message is to maintain independent judgment, prioritize mental well-being over trends, and reaffirm one’s core identity amid technological hype.

比推03/24 08:33

Don't Hand Over Your Right to Think: A Psychological Defense Guide for Web3 People

比推03/24 08:33

Dragonfly Partner: Most Agents Will Not Conduct Autonomous Transactions, How Will Crypto Payments Win?

Dragonfly partner Robbie Petersen argues that the prevailing narrative about AI agents driving massive adoption of crypto payments is flawed. He contends that most agents—whether enterprise or consumer-facing—will not engage in autonomous transactions. Enterprise agents, which will constitute the majority of agent deployments, are an evolution of SaaS and will operate within closed organizational structures. They automate internal tasks (e.g., sales, accounting, legal review) without spending autonomously. Costs for API calls or data are abstracted into bulk, pre-negotiated invoices from platform providers, not paid per transaction. Consumer agents will act more as research assistants than independent economic actors. While they will excel at coordination and discovery (e.g., finding travel options), humans will retain final decision-making and payment authorization for all but the most repetitive purchases due to the qualitative, situational nature of consumer choice. Petersen identifies a narrow third category where crypto could win: permissionless, bottom-up agents (e.g., those inspired by OpenClaw) that operate truly autonomously and require high-frequency, granular payments. For these, blockchain's key advantage is not just technical efficiency but its open, permissionless nature, allowing experimental development without regulatory hurdles. However, he concludes that the larger bottleneck to a full autonomous agent economy is not payment infrastructure but human-centric legal, regulatory, and social frameworks.

marsbit03/24 05:02

Dragonfly Partner: Most Agents Will Not Conduct Autonomous Transactions, How Will Crypto Payments Win?

marsbit03/24 05:02

Visa Spent $1.8 Billion Just to Avoid Being Left Behind by AI

Visa's $1.8 billion acquisition of stablecoin infrastructure firm BVNK is a defensive move against the rise of AI agents disrupting its core business model. Visa’s empire is built on interchange fees (2-3% per transaction), which fund rewards, fraud protection, and status-driven perks that appeal to human psychology. However, AI agents are purely rational: they seek the cheapest, fastest payment path, avoid fees, and have no use for rewards or brand loyalty. A recent report warning that AI agents could bypass traditional card networks by 2027 using stablecoins and decentralized payment protocols (like x402 and Tempo) caused significant stock drops for Visa, Mastercard, and Amex. While current transaction volumes on new infrastructures remain small, projects like Visa CLI, Circle’s Nanopayments, and Stripe’s blockchain initiatives are laying the groundwork for machine-to-machine commerce. Visa isn’t idle—it’s participating in new protocols and launching crypto tools—but its historical advantage (consumer trust and merchant acceptance) relies on human behavior. In an AI-driven economy, that advantage vanishes. The disruption begins with micro-payments for API calls and AI services, but may eventually extend to consumer spending. Visa’s massive investment signals it knows the threat is real.

比推03/20 17:55

Visa Spent $1.8 Billion Just to Avoid Being Left Behind by AI

比推03/20 17:55

Three Years Later: How Has AI Evolved from a 'Chat Tool'?

Three years ago, AI was primarily seen as a novel tool for chatting, image generation, and entertainment—products like ChatGPT, Midjourney, and Character.AI were used more for demonstration than daily reliance. The evolution occurred in two major phases. First, AI became embedded into established applications like CapCut, Canva, and Notion, transforming from a feature into core infrastructure. Platforms diverged: ChatGPT aimed to become a super-app entry point for consumer internet use, while Claude evolved into a professional operating system for knowledge work, creating sticky platform flywheels through integration into calendars, email, and workflows. The true breakthrough emerged recently as AI shifted from generating content to executing tasks autonomously. AI agents like OpenClaw now decompose goals, retrieve information, process data, and deliver results without human intervention. Simultaneously, "Vibe Coding" tools (e.g., Cursor, Replit) enable AI to build entire software products based on human-defined objectives. This progression toward autonomous action is naturally aligning AI with Web3. Blockchain offers machine-native interfaces, programmable assets, and 24/7 operational capability, allowing AI to execute and settle transactions trustlessly without human intermediaries. Together, AI and Web3 are forming the foundational stack for the next internet—where AI acts, and Web3 enables seamless, auditable machine-to-machine coordination and commerce.

marsbit03/20 03:00

Three Years Later: How Has AI Evolved from a 'Chat Tool'?

marsbit03/20 03:00

Crypto xAI Weekly Roundup: TAO Surges 40% in a Week, Decentralized Computing Trains First Competitive-Grade Large Model

This week in crypto xAI was dominated by Bittensor subnet Templar's historic achievement: the decentralized pre-training of Covenant-72B, a 720-billion-parameter LLM, reportedly rivaling LLaMA-2-70B. Trained on 1.1 trillion tokens using consumer-grade hardware within Bittensor’s permissionless network, this milestone shifts the narrative from proving subnet viability to delivering outputs competitive with centralized alternatives. TAO surged 40% in response. The broader DeAI market cap rose 12% to $16.2B, with FET (+61%) and RENDER (+31%) also posting significant gains. The robotics sector grew 6% to $811M, led by PEAQ’s 48% rise. Nansen DEX flow data showed net inflows into sUSDAI, WTAO, and VIRTUAL, indicating smart money accumulation. x402 transaction analysis revealed a key trend: while transaction counts fell, the total transaction value spiked, signaling a shift toward higher-value, legitimate commercial use cases over low-value spam. AWS further validated the space by releasing a full technical reference architecture for x402, marking its transition from concept to infrastructure.

marsbit03/18 07:40

Crypto xAI Weekly Roundup: TAO Surges 40% in a Week, Decentralized Computing Trains First Competitive-Grade Large Model

marsbit03/18 07:40

Still Not Enough? Prediction Market Giants Set Sights on Payments and AI

Prediction market giants Kalshi and Polymarket are aggressively expanding their user base and influence, moving beyond traditional betting sector. During the recent Oscars, the two platforms saw over $100 million in bets, a significant jump from the previous year. Kalshi is focusing on payment integration, partnering with Block’s Cash App to simplify funding and tap into its 59 million monthly active users. This move aims to attract new users from an established financial platform. Polymarket, on the other hand, is targeting AI agents as potential users. After resuming U.S. operations, it has processed $750 million in nominal trading volume. It now supports AI Agent trading through integrations like Alchemy’s AgentCard and its own CLI tool, enabling 24/7 automated trading. This positions Polymarket at the forefront of AI-driven prediction markets. A Paradigm survey notes that 36% of U.S. voters have used prediction markets, with stronger adoption among younger and non-white demographics. Both platforms are exploring new growth avenues—Kalshi through payment accessibility and Polymarket through AI automation—as they compete for a larger share of the evolving market.

marsbit03/16 13:46

Still Not Enough? Prediction Market Giants Set Sights on Payments and AI

marsbit03/16 13:46

Still Not Enough? Prediction Market Giants Set Sights on Payments and AI

Prediction market giants Kalshi and Polymarket are aggressively expanding their user base and capabilities, targeting payment integration and AI agents as new growth vectors. During the recent awards season, the two platforms saw combined betting volumes surpass $100 million, a significant jump from the previous year. A Paradigm survey indicates that 36% of U.S. voters have used prediction markets, highlighting their growing mainstream relevance. To capture the remaining market, Kalshi partnered with Block’s Cash App, simplifying deposits and tapping into its 59 million monthly active users for potential growth. Meanwhile, Polymarket, which has processed over $750 million in nominal volume since resuming U.S. operations, is exploring AI-driven expansion. It now supports AI Agent trading via Alchemy’s AgentCard, enabling 24/7 market participation. This aligns with a broader industry trend of integrating AI agents into financial ecosystems. Both platforms are validating new revenue models—Polymarket has generated over $11.2 million in fees since introducing them—and are positioning themselves at the forefront of fintech and AI convergence, signaling a new phase of competition and innovation in prediction markets.

Odaily星球日报03/16 13:41

Still Not Enough? Prediction Market Giants Set Sights on Payments and AI

Odaily星球日报03/16 13:41

After $1.26 Trillion: Why Are Circle and Stripe Rushing to Pay 'Wages' to AI Agents?

The article discusses the significant rise of stablecoins, particularly USDC, as the preferred payment method for AI agents. In March 2026, Circle and Stripe are competing to build stablecoin infrastructure for AI agent payments, with USDC processing $1.26 trillion in transactions, accounting for 70% of stablecoin activity. Key points include: - AI agents require programmable, instant, low-friction payment systems, which traditional finance (banks, credit cards) cannot provide. Stablecoins on blockchain meet these needs with 24/7 transfers, smart contract automation, and price stability. - Data shows 98.6% of AI agent payments on platforms like Stripe's x402 use USDC, indicating stablecoins are becoming the default for machine-to-machine transactions. - Regulatory developments are supporting this growth: Hong Kong is issuing its first stablecoin licenses, the US OCC has proposed a federal framework, and the EU has MiCA regulations, signaling global institutional adoption. - Stablecoins act as a "blood system" connecting the digital and real economies, facilitating both internal digital transactions (e.g., tokenized assets) and external fiat conversions. - Risks include security vulnerabilities, regulatory fragmentation, and market instability, but the trend is clear: stablecoins are evolving from crypto tools to essential infrastructure for AI-driven economies. The article concludes that as AI agents autonomously transact, stablecoins will be critical infrastructure, urging businesses and investors to prepare for this shift.

marsbit03/14 00:41

After $1.26 Trillion: Why Are Circle and Stripe Rushing to Pay 'Wages' to AI Agents?

marsbit03/14 00:41

From 5 Cents per kWh Chinese Electricity to $45 API Export Packages: Token is Becoming the New Currency Unit

The article explores the concept of "Token出海" (Token Outbound), arguing that tokens are evolving from a technical term into a new monetary unit in the machine-driven economy. It begins by drawing a parallel between historical control over information flow (like transatlantic cables) and today's control over AI API calls and value transfer. Tokens now serve a dual role: as a unit of computation in AI and a means of payment in crypto. A key driver is the rise of AI Agents, like OpenClaw, which shift tokens from being a simple "conversation cost" to a "production fuel" for executing complex tasks. This massive consumption creates a competitive advantage for Chinese AI models, which are often priced lower. The article posits that this isn't just about cheap models, but about China leveraging its vast domestic electricity and computing power to export value globally via token-denominated AI services. The convergence of AI and crypto is facilitated by protocols like x402, which enables machines to natively pay for API calls, and ERC-8183, which allows them to enter into complex escrow-based contracts. This creates a machine-native economic layer where tokens act as the fundamental unit of permission, settlement, and value measurement. The conclusion is that while traditional fiat won't disappear, tokens are becoming the foundational monetary unit for the new agentic economy. The future "power to mint currency" may belong to those who can most efficiently compress real-world resources (like electricity and compute) into tradable tokenized services.

Odaily星球日报03/13 04:41

From 5 Cents per kWh Chinese Electricity to $45 API Export Packages: Token is Becoming the New Currency Unit

Odaily星球日报03/13 04:41

Firecrawl Launches Web Scraping Tool for Agents, NVIDIA Releases Nemotron 3 Super: What's the English Community Discussing Today?

Over the past 24 hours, key discussions in the English-speaking crypto and AI communities centered on several major developments. Firecrawl launched a CLI toolchain specifically for AI agents, enabling efficient web scraping and data extraction, though its pricing drew some criticism. Nvidia released Nemotron 3 Super, a 120B-parameter open-weight model with a 1M-token context window, raising both excitement and concerns over latency and safety. Google introduced Nano Banana 2, a high-speed image generation model, though its naming was met with mixed reactions. In AI agent infrastructure, Base44’s Superagent entered the cloud-based agent automation space, intensifying competition with local solutions like OpenClaw and raising debates over security and centralization. Ramp’s AI Index suggested Anthropic is gaining traction as the preferred enterprise AI vendor over OpenAI. In crypto, Solana continued to strengthen its infrastructure with DoubleZero Edge’s real-time market data via multicast technology and led in stablecoin transfer volume after filtering wash trading. Jupiter launched its Season 2 rewards program with a $2M JupUSD pool. Ethereum saw progress in L2 interoperability with on.eth addressing cross-chain identity fragmentation. Base ecosystem projects like Noise.xyz and rip.fun attracted significant attention, while Circle experimented with AI agents autonomously managing a hackathon using USDC. Perp DEX Lighter introduced a revised market structure to improve fairness, and prediction market platform Kalshi noted growing institutional engagement, with Marco Rubio emerging as an early favorite for the 2028 U.S. presidential election. Overall, themes included the shift toward cloud-based AI agents, model capability races, enterprise AI adoption, and the maturation of on-chain trading and prediction markets.

marsbit03/12 15:41

Firecrawl Launches Web Scraping Tool for Agents, NVIDIA Releases Nemotron 3 Super: What's the English Community Discussing Today?

marsbit03/12 15:41

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