# Trust Related Articles

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

Meta Follows the Trend into Prediction Markets: Can It Avoid Repeating the Failure of the Metaverse?

Meta, the tech giant behind Facebook, has reportedly formed a team to develop "Arena," a new application focused on prediction markets. Users would use platform points to place bets on outcomes in politics, sports, and global events. This move follows Meta's massive, nearly $900 billion, losses from its heavily-invested metaverse division, Reality Labs. The prediction market industry is already showing strong demand, with leading platforms like Kalshi and Polymarket facilitating hundreds of billions in annual volume. Meta, with its 3.56 billion daily active users across its apps, possesses the unprecedented scale to bring this niche activity to a mainstream audience, similar to its past success in cloning features like Stories and Reels. However, Arena faces significant hurdles. Meta plans to start with a points-based system to avoid strict financial regulations, but this may dilute the core incentive of accurate prediction that real-money markets provide. More critically, Meta enters the space with a major trust deficit stemming from its past regulatory battles, notably the failed Libra/Diem stablecoin project, and its controversial history with political content and misinformation. The prediction market sector itself is under increasing regulatory scrutiny, with recent CFTC actions including fines and the first-ever insider trading case. While Meta's vast user base offers a unique opportunity to expand the market, its success hinges on navigating complex regulations and rebuilding the credibility necessary for a platform dealing with sensitive topics like elections. The outcome could range from Meta dramatically growing the industry to Arena becoming a high-profile regulatory target before it can scale.

Foresight News06/25 06:03

Meta Follows the Trend into Prediction Markets: Can It Avoid Repeating the Failure of the Metaverse?

Foresight News06/25 06:03

AI Agents Also Need 'Credit Checks': ERC-8126 is Filling the Gap in On-chain Trust

The article discusses ERC-8126, a proposed standard designed to address the lack of trust and verification for AI Agents operating on-chain. While ERC-8004 provides AI Agents with a basic on-chain identity (answering "Who are you?"), it does not guarantee trustworthiness. ERC-8126 aims to fill this gap by establishing a verification layer (answering "Are you reliable?"). It standardizes how independent verification providers can assess an agent's associated risks across five key areas: Token/Contract Verification (ETV), Media Content Verification (MCV), Solidity Code Verification (SCV), Web Application Verification (WAV), and Wallet Verification (WV). These providers generate a standardized risk score (0-100) and proofs based on their checks, without acting as a single authoritative certifier. This allows wallets, marketplaces, dApps, and other agents to consume these risk signals—for example, to display warnings, filter listings, or make interaction decisions. The standard also incorporates concepts like Private Data Verification (PDV) and Zero-Knowledge Proofs (ZKP) to allow verification without exposing sensitive underlying data. Positioned alongside ERC-8004 (Identity) and ERC-8183 (Commerce for agents), ERC-8126 represents a step toward building a verifiable and accountable infrastructure for the emerging on-chain AI Agent economy, shifting trust assessment from purely user-based judgment to standardized, consumable signals.

marsbit06/22 13:54

AI Agents Also Need 'Credit Checks': ERC-8126 is Filling the Gap in On-chain Trust

marsbit06/22 13:54

Anthropic CEO's Latest Interview: On Technological Explosion, Safety Red Lines, and the Civilization Contract

Interview with Anthropic CEO Dario Amodei covers the intense pressures and ethical dilemmas of leading AI development. He describes the experience as "exponential growth," feeling constant acceleration akin to relativistic time dilation. The discussion delves into his departure from OpenAI, rooted in a fundamental loss of trust and divergent values rather than mere technical disagreements. Amodei emphasizes Anthropic's enterprise-focused business model, arguing it aligns better with safety and responsible deployment than consumer-facing, ad-driven models. He addresses critical issues like AI's impact on employment, advocating for proactive macroeconomic policies and a shift towards "doing more with the same resources" to avoid widespread job displacement. On safety and governance, he details Anthropic's cautious approach, including delaying the release of the powerful "Mythos" model due to its advanced cyber capabilities. He stresses the need for "human-in-the-loop" principles in military applications, setting red lines against autonomous weapons and mass surveillance. Amodei calls for industry collaboration among trustworthy actors to establish standards and advocates for a balanced regulatory framework with checks and balances, such as Anthropic's Long-term Benefit Trust, rather than corporate or government monopoly over the technology. He expresses geopolitical concerns, particularly regarding China, and a belief that AI should bolster liberal democracies. While acknowledging a non-zero risk of civilizational catastrophe from advanced AI, he asserts Anthropic's actions are aimed at significantly reducing that probability. The interview concludes with Amodei arguing that trust must be earned through concrete actions, like sacrificing commercial gain for safety, to distinguish Anthropic in a Silicon Valley landscape he criticizes for eroded public trust.

marsbit06/18 08:34

Anthropic CEO's Latest Interview: On Technological Explosion, Safety Red Lines, and the Civilization Contract

marsbit06/18 08:34

Joseph Chalom: Ethereum is Becoming the "Settlement Layer of Trust" for Global Finance

In a speech titled "The Industrialization of Trust," Sharplink CEO Joseph Chalom (former BlackRock digital assets head) discussed the future transformation of global finance. Drawing from 20 years at BlackRock, where he led the launch of Bitcoin/ETH ETFs and tokenized funds, Chalom highlighted the immense hidden costs of establishing trust in traditional finance—estimated at over $9.3 trillion annually in the US alone due to fragmented systems, multi-day settlements, and countless reconciliations. He argued that Ethereum is emerging as the global financial "settlement layer for trust," with its robust, decentralized infrastructure securing over $300 billion in on-chain assets and most stablecoins and tokenized assets. The future, he stated, will be driven by three accelerating pillars: stablecoins (evolving beyond crypto gateways to become efficient cross-border payment rails), tokenized assets (enabling 24/7 trading and reshaping capital markets), and DeFi (providing automated, accessible financial services). A potential game-changer, Chalom added, is the fourth pillar: "Agentic Finance," where AI agents autonomously execute programmable financial transactions via smart contracts and stablecoins. He envisions individuals soon having AI-powered "CFOs in their pockets" to optimize idle capital and manage tokenized portfolios. This shift, facilitated by Ethereum's trustless settlement, could multiply on-chain transaction volume 1000x within a year, moving finance toward a seamless, digitized future.

marsbit06/18 07:03

Joseph Chalom: Ethereum is Becoming the "Settlement Layer of Trust" for Global Finance

marsbit06/18 07:03

When Crypto Meets the World Cup: CoinW and Modrić's Art of "Navigating Cycles"

When Encryption Meets the World Cup: CoinW and Modrić's "Transcending Cycles" Philosophy In the context of the 2026 FIFA World Cup and its massive global audience, the crypto exchange CoinW announced football legend Luka Modrić as its global brand ambassador. This move is framed not merely as a marketing tactic, but as a strategic experiment in user profile migration. It targets mature, financially stable football fans—particularly in Europe, Southeast Asia, and Latin America—who traditionally have low crypto awareness but value trusted, time-tested authority figures like Modrić. The article draws parallels between Modrić's enduring, disciplined career—marked by consistency and success at the highest level over two decades—and CoinW's own development path. Founded in 2017 during a volatile industry period, CoinW focused on building robust infrastructure and risk management. It weathered the 2022 industry crisis without major security incidents, subsequently earning recognition like "Europe's Most Trusted Exchange" and growing to over 20 million registered users. This "long-termism" is translated into user-centric products. CoinW Academy lowers the initial knowledge barrier. Its integrated ecosystem (CoinW, GemW, DeriW, PropW) and the recent launch of a TradFi section—offering perpetual contracts on traditional assets like stocks, gold, and oil—aim to create a unified platform for diverse assets. For the World Cup, CoinW launched the "We Are The Game" campaign, collaborating with Alchemy Pay to offer zero-fee deposits and local payment options, aiming to transform spectators into participants and lower entry barriers. Ultimately, CoinW's sports partnerships and product strategy are presented as a concerted effort to build trust and accessibility for the "silent majority" still outside crypto—shifting the industry narrative toward inclusivity and long-term value.

Foresight News06/17 04:39

When Crypto Meets the World Cup: CoinW and Modrić's Art of "Navigating Cycles"

Foresight News06/17 04:39

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

Xiaohongshu's Second Voyage: Navigating Towards AI Since ChatGPT's emergence, Xiaohongshu's founder Mao Wenchao has been acutely aware of AI's potential threat, recognizing that the life advice people seek from chatbots overlaps directly with his platform's core business. Founded in 2013 as a PDF shopping guide for Chinese tourists, Xiaohongshu evolved into a massive community where millions share authentic, personal experiences—from product reviews to travel tips. This vast repository of "I've tried this" human judgment became its most valuable asset. However, the rise of AI, which delivers instant answers, challenges the very need for users to sift through numerous personal notes. Fearing its treasure trove of lived experience could become mere training data for others, Xiaohongshu is proactively adapting. In 2026, it established a dedicated AI division (Dots), launched RED Skill to turn user experiences into usable AI tools, and acquired the AI search product "Diandian." Its investments now extend to AI firms like MiniMax and hardware startups, moving upstream to address needs before they even become search queries. The platform's commercialization strategy is also evolving. With a newly acquired payment license and tools like the AIPS model to track consumer decision journeys, Xiaohongshu aims to seamlessly integrate recommendations with transactions, embedding commerce within AI-generated answers. Yet, a critical tension remains. While building smarter machines to organize and leverage its human experiences, Xiaohongshu must prevent AI from drowning out the authentic, flawed, and trustworthy "I've tried this" voices that built its community. Its core challenge is to harness AI's power without letting the map—the machine's perfect, synthesized answer—replace the territory of genuine human experience. This balance between technological advancement and preserving human trust defines its current journey and its future.

marsbit06/16 01:14

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

marsbit06/16 01:14

What's the Connection Between Pinduoduo's Huang Zheng and Blockchain?

This text explores the unexpected connection between Pinduoduo founder Colin Huang and blockchain, as suggested in his article *Turning Capitalism Upside Down*. Huang argues Pinduoduo's core business is about managing "uncertainty." He posits that wealth flows to the rich because they absorb life's uncertainties (e.g., illness, job loss) that devastate the poor, who pay a premium for certainty through insurance or stable prices. Pinduoduo's model attempts a "reverse insurance": by aggregating consumer demand via group-buying and flash sales, it creates a large, predictable order for manufacturers. This certainty allows factories to remove risk premiums, passing savings back as lower prices, thus partially reversing the wealth flow. The key obstacle, Huang notes, is that an individual's buying intent is an unreliable promise. He then asks if blockchain is the natural solution for this "reverse insurance." The text elaborates that blockchain, through smart contracts with binding deposits, could transform casual intent into a costly-to-break, enforceable commitment. This replaces interpersonal trust with coded rules, making promises credible, pricable, and resistant to fraud. Finally, the author draws a parallel to Bitcoin, framing two paths to creating certainty: the "Pinduoduo path" of aggregating decentralized will into scale, and the "Bitcoin path" of locking rules into immutable code. Both sacrifice something—personal freedom or system flexibility—to manufacture trust and predictability.

链捕手06/15 00:08

What's the Connection Between Pinduoduo's Huang Zheng and Blockchain?

链捕手06/15 00:08

Anthropic Apologized, But the Business of 'Safety' Hasn't Stopped

On June 11, Anthropic apologized not for a model failure, but for a lack of transparency. Its new Claude Fable 5 model was found to be secretly rerouting requests from users engaged in advanced AI model development to a weaker version, Opus 4.8, without any notification. The company's response—promising future notifications for such "downgrades"—was met with user skepticism. The article argues the core issue isn't technical but commercial: Anthropic's "safety" measures are primarily a business strategy. A key feature, the "intelligent safety classifier," marketed as user protection, is described as a tool for "competitive defense" to protect Anthropic's market lead by limiting rivals' research capabilities. This covert mechanism was designed for low "false positives," precisely targeting AI researchers. Anthropic's model involves a calculated three-step process: publishing alarming security research to amplify public anxiety, offering its Fable 5 model with a "safety classifier" as a premium-priced solution, and cashing in through a planned high-value IPO. This contrasts with OpenAI's more direct "tool-and-traffic" approach. The apology, merely changing a secret downgrade to a visible one, is seen as a business "patch" rather than a principled shift. The incident risks damaging Anthropic's "safest AI" reputation among the developer community, which underpins its valuation and appeal to government and corporate clients. Ultimately, the article concludes that for Anthropic, safety is a business, and the apology is merely customer service for that business.

marsbit06/12 00:25

Anthropic Apologized, But the Business of 'Safety' Hasn't Stopped

marsbit06/12 00:25

活动图片