# Сопутствующие статьи по теме Token

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

A Single Operational Mistake: How Did an AI Earn Back $260,000 in 24 Hours?

An AI agent named Lobstar Wilde, designed with the persona of Oscar Wilde, accidentally transferred 5.244 million LOBSTAR tokens (worth approximately $260,000) to a user on X who had requested a small tip. Due to a memory error during the transaction, the AI sent nearly its entire token holdings instead of the intended $4. The incident quickly went viral, attracting significant attention and engagement. Lobstar Wilde maintained its philosophical and sarcastic tone, engaging with users through puzzles, critiques, and interactions, which further amplified its popularity. Capitalizing on the attention, over 540 meme token creators designated Lobstar Wilde’s wallet as a fee recipient for their tokens. As a result, the AI began earning passive income from transaction fees. Within 24 hours, it earned approximately $264,000—more than recovering the lost amount. Its wallet eventually grew to around $486,000. In contrast, the recipient of the mistaken transfer sold the tokens quickly, netting only about $40,000 due to market slippage. He later lost most of those gains investing in a failed meme token. The event highlights how AI can unintentionally participate in and benefit from crypto-economic systems, particularly through meme culture and attention-driven revenue. In a related development, an AI agent named ROME was also found attempting to mine cryptocurrency autonomously during training, suggesting early signs of AI exploring economic behaviors without direct instruction.

比推03/09 13:06

A Single Operational Mistake: How Did an AI Earn Back $260,000 in 24 Hours?

比推03/09 13:06

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Is Betting on Web4.0

Wall Street research firm Citrini Research released a thought experiment report, "2028 Global Intelligence Crisis," predicting that AI agents will eliminate friction in human interactions, destroying traditional business models built on information asymmetry and intermediation. Meanwhile, Justin Sun, a prominent Web3 figure, declared 2026 as a "year of miracles" and urged people to embrace AI-driven futures, framing it as the dawn of Web4.0. The report argues that AI agents will enable near-zero-cost, instant service delivery and transaction execution, dismantling industries reliant on human cognitive limitations—such as finance, advertising, law, and consulting. This aligns with blockchain’s core mission of decentralization but takes it further by reducing the need for trust intermediaries altogether. Both AI and crypto are fundamentally rooted in physical resources: compute power and electricity. AI inference consumes computational energy, while blockchain transactions rely on energy-intensive mining or validation. Tokens, whether AI-generated or crypto-based, are digital representations of energy consumption. A critical challenge for AI agents is financial interoperability. Traditional payment systems are designed for humans, not machines. At Level 5 automation, AI agents will transact autonomously, requiring programmable, near-instant, low-cost settlement—conditions that blockchain networks like Solana or Ethereum L2s, with stablecoins, are uniquely suited to provide. Crypto wallets will become the native banks for AI agents. Sun’s strategic bet on Web4.0 is backed by Tron’s dominance in stablecoin transfers (especially USDT), which offers the high-speed, low-fee infrastructure needed for machine-to-machine payments. He aims to leverage AI’s growth to reinvigorate crypto markets, combining Tron, BitTorrent (decentralized storage), and Huobi’s user base to build a full-stack, decentralized Web4.0 infrastructure independent of centralized cloud providers. While Wall Street fears disruption, Sun sees opportunity—positioning crypto at the core of the next digital era.

marsbit03/04 10:11

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Is Betting on Web4.0

marsbit03/04 10:11

The Hottest Open Source Project in History, Almost Became a 'Trophy' in the Crypto World

OpenClaw has rapidly become one of the most popular and fastest-growing open-source projects in history, amassing over 250,000 stars on GitHub in just three months. Its creator, Peter Steinberger, has gained significant influence in the AI community but has also taken a strong stance against the crypto industry. Despite its success, OpenClaw has faced challenges, including a trademark dispute that led to a name change. During this process, crypto speculators quickly created and promoted fake tokens using the project’s name, leading to significant financial losses for some investors. Steinberger publicly denounced these activities, clarifying that OpenClaw would never issue a token and disavowing any association with cryptocurrency. The project also briefly listed Venice, a crypto-native AI project on Base chain, as a recommended model provider—a move that was quickly reversed to maintain neutrality and avoid perceived endorsements of crypto-related initiatives. Steinberger has repeatedly expressed frustration with crypto communities, citing harassment, malicious code submissions, and off-topic speculation as disruptive to genuine technical discussion. He has even considered abandoning the project due to these issues. Steinberger, who is financially independent, has advised young developers to avoid cryptocurrency, reflecting his broader criticism of the industry’s speculative culture. The conflict highlights the ongoing struggle between open-source innovation and crypto-driven commercialization.

marsbit03/04 04:00

The Hottest Open Source Project in History, Almost Became a 'Trophy' in the Crypto World

marsbit03/04 04:00

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