# AI Related Articles

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

200,000 fake AI ‘victims’ deployed to scam bait online fraudsters

A tech company called Apate is using 200,000 AI personas to pose as scam victims, wasting millions of hours of fraudsters' time each month and saving the public an estimated $13 million in a six-week period. Founded by Dali Kaafar, the idea came from his own experience of wasting a scammer's time. Apate's bots, trained on real scam-baiting conversations, engage fraudsters via phone and chat platforms like WhatsApp, extracting valuable intelligence such as new crypto wallet addresses and scam tactics. This data helps banks and telcos combat criminal rings globally. While scammers are also starting to use AI, Apate believes defensive AI bots have a strategic advantage in gathering intelligence and disrupting these operations.

cointelegraphYesterday 13:37

200,000 fake AI ‘victims’ deployed to scam bait online fraudsters

cointelegraphYesterday 13:37

Cryptocurrency exchange Bitfinex announces that Bitcoin is close to exiting the bear market!

Cryptocurrency exchange Bitfinex suggests Bitcoin may be nearing the end of its prolonged bear market, noting that two of the three fundamental conditions for a sustained upward trend are already in place. Analysts cite strengthening expectations for interest rate cuts and a gradual easing of financial conditions as supportive factors, typically boosting demand for risk assets like Bitcoin. The third and final condition highlighted is a rotation of capital from the AI and tech hardware sector into the cryptocurrency market. Bitfinex observes continued strong investment inflows into AI and tech stocks and believes a shift of some of this capital into crypto assets could trigger a sustained Bitcoin rally. The exchange forecasts that Bitcoin could retest the $70,000 level if capital inflows into the crypto market increase. Conversely, if inflows remain weak or negative, selling pressure could intensify, potentially pushing the price down to a key support zone around $57,000. This assessment comes as investors closely monitor global monetary policy, tech sector capital flows, and institutional interest in crypto, with near-term capital movements deemed critical for determining Bitcoin's direction. *This is not investment advice.

cryptonews.ruYesterday 13:24

Cryptocurrency exchange Bitfinex announces that Bitcoin is close to exiting the bear market!

cryptonews.ruYesterday 13:24

A Financing Showdown Among 9 "Giant-Firm Affiliated" Factions in Embodied AI, the Strongest "Brand" is Neither ByteDance, Baidu, nor DJI

The IT Orange report "China's Embodied AI Entrepreneur Ecosystem Portrait" reveals that "Big Tech background" is a major amplifier for funding in the embodied AI sector. Among 1155 entrepreneurs, over 300 had worked at Huawei, Microsoft, Baidu, Google, DJI, Alibaba, Tencent, ByteDance, or Xiaomi. Their 232 companies, constituting 20% of the industry, secured about half of total financing. A comparison of nine "Big Tech factions" shows Huawei leads in company count (26) and total funding (¥388.5B), excelling in hardware systems and engineering execution. Microsoft ranks second (¥339.2B) with the highest average funding per company (¥15.42B), driven by AI research talent. Baidu follows (¥270.2B) with expertise migrating from autonomous driving. Google (10 companies) has the second-highest average (¥15.09B), focusing on elite AI research. DJI (¥117.5B) demonstrates strong full-stack hardware capabilities, while ByteDance (¥99.5B) applies AI-native and product thinking. Tencent (¥102.3B) has a mixed profile of veterans and new talent, often acting as an investor. Alibaba (¥58.0B) and Xiaomi (¥28.2B) rank lower, with Alibaba's projects mostly early-stage and Xiaomi's leveraging its ecosystem's supply chain experience. Key findings indicate that a combined "hardware + AI" capability is crucial for funding, with pure internet backgrounds (e.g., Alibaba, Tencent) lagging. The ability to achieve mass production is a critical differentiator, as seen in DJI's strength versus ByteDance's earlier-stage ventures. Capital increasingly favors teams with both algorithmic strength and tangible hardware experience.

marsbitYesterday 13:01

Is OpenAI Losing? Anthropic Presses the Fast-Forward Button on Its Trillion-Dollar IPO, Dario's 2% Stake Seizes Control

Anthropic is accelerating towards a potential IPO this fall, fueled by a massive surge in quarterly revenue. In Q2, its revenue of $11.6 billion surpassed OpenAI's $6.7 billion for the first time, signaling a major shift in the competitive landscape. With an estimated valuation nearing $1 trillion, Anthropic aims to become the first major AI model company to go public. Ahead of the listing, the company plans to issue special shares with enhanced voting rights to CEO Dario Amodei (who holds only a 2% stake) and other co-founders. This dual-class stock structure is designed to secure management control post-IPO, addressing the tension between raising substantial capital and retaining founder-led direction. While Anthropic's performance appears stronger on metrics like adjusted operating profit, OpenAI retains significant advantages, most notably its vast global user base through ChatGPT, which serves as a crucial platform for future expansion. The current dynamic suggests Anthropic has secured a notable lead, but the long-term competition remains open. Key questions moving forward include whether Anthropic can sustain its commercial momentum, how founder control will impact a trillion-dollar public company, and how OpenAI will respond to reclaim its position.

marsbitYesterday 12:46

Is OpenAI Losing? Anthropic Presses the Fast-Forward Button on Its Trillion-Dollar IPO, Dario's 2% Stake Seizes Control

marsbitYesterday 12:46

Frenzy Over Unitree's Humanoid Robots Exceeds Hyperliquid Traders' Expectations

The Chinese humanoid and quadruped robot maker Unitree Robotics debuted on the Shanghai Stock Exchange on August 19, 2026, with its shares surging 629% above the IPO price. The company's market capitalization briefly hit approximately $66 billion, marking one of the most prominent examples of investor frenzy around physical AI. Before the listing, crypto traders on the Hyperliquid platform had already priced the company at around $38 billion via a synthetic perpetual contract, though the actual debut valuation was roughly 75% higher. The IPO raised about $905 million, with proceeds earmarked for AI model development and production expansion. The debut highlights intense investor interest in China's physical AI sector, where Unitree sold over 5,500 humanoid robots in 2025. While analysts see massive growth potential for the humanoid robot market, some caution that Unitree's valuation appears significantly overheated relative to its current financials and the early commercial stage of the technology.

cryptonews.ruYesterday 11:43

Frenzy Over Unitree's Humanoid Robots Exceeds Hyperliquid Traders' Expectations

cryptonews.ruYesterday 11:43

Frenzy Surrounding Unitree's Humanoid Robots Exceeds Hyperliquid Traders' Expectations

The Chinese robotics company Unitree Robotics made a highly anticipated debut on the Shanghai Stock Exchange on August 19, 2026. Its shares soared 629% above their IPO price, valuing the company at approximately $66 billion at the start of trading. This represents one of the most significant investor frenzies around physical AI—systems combining AI with robots. Prior to the listing, crypto traders on the Hyperliquid platform had already been speculating on the company's value through a perpetual futures contract, pegging its valuation at around $38 billion. The actual debut massively exceeded these crypto market predictions by about 75%. The contract's trading volume reached $64 million. Unitree, specializing in humanoid and quadruped robots, is now mainland China's first publicly listed humanoid robot company. It shipped over 5,500 humanoid units in 2025, leading global sales. The company's 2025 revenue surged to 1.7 billion yuan from 393 million yuan a year earlier, with a net profit of 278 million yuan and gross margins exceeding 60%. The IPO, which raised about 6.1 billion yuan ($905 million), reflects intense investor interest in the physical AI sector. JPMorgan estimates the humanoid robot market could grow from $2 billion in 2025 to $300 billion by 2035, with China holding about 75% of the global market share due to lower production costs. However, analysts warn of potential overvaluation, noting the stock's price far exceeds traditional financial metrics and is driven by retail speculation. The company faces the challenge of translating pilot projects and demonstrations into widespread commercial adoption. Strategic investors in the IPO included AI firm DeepSeek, Tencent, and units of major state-owned companies.

cryptonews.ruYesterday 11:31

Frenzy Surrounding Unitree's Humanoid Robots Exceeds Hyperliquid Traders' Expectations

cryptonews.ruYesterday 11:31

Trade.xyz Captures Over Half of Hyperliquid's Trading Volume with AI Chip Stocks and Crude Oil Perpetual Contracts

**Title:** Trade.xyz Captures Over Half of Hyperliquid's Trading Volume with AI Chip Stocks and Oil Perpetuals **Summary:** Driven by the launch of AI chip stock and oil perpetual contracts, Trade.xyz has become the dominant builder on Hyperliquid following its HIP-3 upgrade, now accounting for over 55% of the platform's trading volume. The HIP-3 proposal shifted market creation from validator votes to a staking and auction model, allowing builders like Trade.xyz to deploy their own perpetual futures markets. Trade.xyz's focus on traditional assets like AI/Compute equities, crude oil, and major indices has attracted significant on-chain trading activity. In the past month alone, it generated approximately $5 million in fees, which are split 50/50 with Hyperliquid. A significant portion of this revenue is used for open-market buybacks of the HYPE token, reducing its circulating supply and creating a direct link between platform activity and token value capture. This growth highlights both the potential for ecosystem concentration around a single major builder and the evolving mechanisms for HYPE's value accrual.

marsbitYesterday 09:41

Trade.xyz Captures Over Half of Hyperliquid's Trading Volume with AI Chip Stocks and Crude Oil Perpetual Contracts

marsbitYesterday 09:41

ASIC Uncovers 3,106 Cryptocurrency Fraud Cases as AI Networks Target Australian Savings

The Australian Securities and Investments Commission (ASIC) has warned investors of a sharp rise in sophisticated AI-powered crypto scams, dismantling 3,106 such schemes in the last financial year—a nearly 30% increase. These scams, part of over 19,400 online frauds taken down, increasingly use deepfake videos of public figures and fake news sites to lure victims into fraudulent crypto platforms. Criminals create interconnected networks of deception, using AI to fabricate social proof and even show fake initial profits to build trust before victims lose their funds to overseas syndicates. High-profile figures like Prime Minister Anthony Albanese are commonly impersonated, leading to millions in losses. ASIC advises rigorous verification, including checking its professional registers and the Moneysmart Investor Alert list, as AI makes scams harder to detect.

cryptonews.ruYesterday 09:28

ASIC Uncovers 3,106 Cryptocurrency Fraud Cases as AI Networks Target Australian Savings

cryptonews.ruYesterday 09:28

"AI Burning Books" Is Actually a Misunderstanding

"AI Book-Burning" Is Actually a Misunderstanding Recent reports about AI companies purchasing used books, scanning them, and then destroying the physical copies have sparked widespread outrage. Terms like "AI is devouring human knowledge" have become common, fueled by dramatic visuals of books being cut and shredded. However, the actual facts reveal a more nuanced story. While companies like Anthropic have indeed spent millions to buy and "destructively scan" several million books for AI training, this volume is a small fraction of the global second-hand book market. The core act—digitizing content and then discarding the physical object—is the opposite of historical book-burning, which aimed to erase knowledge. A key point of contention is the purchase of rare or out-of-print books. Yet, if these books were legally for sale on the open market, the buyer (whether an AI firm or an individual) has the right to do with them as they wish. The real question is whether society has adequate systems to protect books of genuine cultural heritage *before* they are sold. Expecting profit-driven companies to self-regulate on this is unreliable; the solution lies in establishing public rules, such as protected lists for rare editions or granting libraries priority purchase rights. Much of the intense public reaction stems not from the scale of actual harm, but from the powerful symbolism. The image of books being fed into machines taps into deeper anxieties about AI: fears of job displacement, mistrust of tech giants, and the unsettling feeling that humanity is feeding its own cultural past to the systems that might replace it. The outrage over "AI book-burning" is thus less about the physical books and more a proxy for broader societal tensions surrounding artificial intelligence.

marsbitYesterday 09:11

"AI Burning Books" Is Actually a Misunderstanding

marsbitYesterday 09:11

Web3 Wallets in a 'Turbulent Autumn': In the AI Era, How to Understand the Evolution of 'Spear and Shield' in Crypto Security?

The recent spate of incidents involving Coldcard, Trezor, and SafePal highlights a critical evolution in cryptocurrency wallet security, moving the focus beyond simple private key protection to a holistic, multi-layered attack surface. These events—spanning a random number generator flaw, supply chain data leaks, and plugin permission issues—underscore that vulnerabilities now exist across the entire wallet lifecycle: from secure element and code generation to logistics, user data, and daily interactions with dApps. This broadening threat landscape is accelerating with the advent of AI. Attackers are leveraging AI to automate and scale previously labor-intensive tasks like vulnerability discovery, sophisticated social engineering, and targeted phishing campaigns. This effectively lowers the cost of attacks, eroding the security margin once provided by the high effort required to find and exploit flaws. In response, defense strategies must also evolve by integrating AI. The future of wallet security lies not just in static rules and blacklists, but in proactive, AI-powered risk assessment. This includes pre-transaction simulation, behavioral analysis to detect anomalies (like sudden large approvals), and contextual awareness of dApps and counterparties. The goal is to transform wallets from passive signing tools into active guardians that can understand intent, predict outcomes, and clearly communicate risks to users—all while preserving user sovereignty and control through minimal permissions and human confirmation for critical actions. Ultimately, self-custody does not guarantee inherent safety; it returns absolute control to the user. Protecting that control requires a dynamic, evolving security posture where AI becomes a essential tool on both sides of an ongoing "spear and shield" arms race in the Web3 ecosystem.

marsbitYesterday 08:41

Web3 Wallets in a 'Turbulent Autumn': In the AI Era, How to Understand the Evolution of 'Spear and Shield' in Crypto Security?