# 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.

Forbes Feature: Stablecoin Cross-Border Payments Are Faster, But Not Yet Cheaper

A Forbes feature delves into the state of stablecoin-based cross-border payments, noting rapid growth but a key shortfall: while faster and more accessible, they are not yet cheaper. At a recent industry conference in Mexico City, optimism about technology, regulation, and volume was tempered by discussions with practitioners. The core issue is liquidity. Traditional FX brokers charge 60-70 basis points, and stablecoins promise to slash this to 2-5 basis points. However, this theoretical cost advantage cannot be realized until deep liquidity pools are established at scale, requiring significant institutional capital inflow. A major adoption barrier is trust. Businesses often rely on long-standing relationships with traditional brokers, valuing reliability over marginal cost savings. This shift will be gradual. Furthermore, successful companies in the space are not positioning themselves as replacements for legacy systems like SWIFT, but as complements. They leverage stablecoins for speed while using traditional rails for their standardization and reliability in ensuring accurate payment details—a critical factor for supplier payments to avoid customs issues. Companies like Caliza, experiencing high monthly growth, exemplify this hybrid approach. The industry anticipates consolidation, as long-term viability will depend on securing the essential trifecta: proper licensing, robust fiat on/off-ramps, and deep liquidity. Without these, firms risk being mere intermediaries rather than building sustainable businesses.

marsbit07/05 09:23

Forbes Feature: Stablecoin Cross-Border Payments Are Faster, But Not Yet Cheaper

marsbit07/05 09:23

Confirmed: Claude Code Secretly Inspects Users, Time Zone and Chinese AI Labs Are Key Factors

Today was a significant day for Anthropic. The company announced the launch of Claude Sonnet 5, described as its most agentic model yet, and separately confirmed that the U.S. Department of Commerce has lifted export controls on its Claude Fable 5 and Mythos 5 models, allowing their distribution to resume. However, a separate controversy has emerged regarding its coding assistant, Claude Code. Developers have exposed that certain versions of the tool allegedly contain hidden code designed to detect specific user data. This code reportedly checks for the use of Chinese time zones (like Asia/Shanghai), the presence of custom API proxy URLs, and connections to domains associated with Chinese tech companies and AI labs. If triggered, this information is said to be encoded into the system prompt sent to the AI cloud, using subtle, nearly indistinguishable variations in characters (like different Unicode apostrophes in the "Today's date" line) as a form of steganography. The core issue is the covert nature of this data collection. While telemetry for security and abuse prevention is common, implementing it through hidden channels within the prompt—without user awareness or documented disclosure—fundamentally breaches trust. This is particularly sensitive for a coding assistant that operates with access to source code and system commands. Following the exposure, an Anthropic engineer acknowledged the code's existence and stated it would be removed in an upcoming release. The incident raises serious questions about transparency and the boundaries of data collection in AI developer tools.

marsbit07/01 03:44

Confirmed: Claude Code Secretly Inspects Users, Time Zone and Chinese AI Labs Are Key Factors

marsbit07/01 03:44

In the AI Era, What's Left for Bitcoin?

As Bitcoin falls below $60,000, the author reflects on the relationship between AI and Bitcoin, seeing them as two sides of the same coin. In the AI era, the cost of generating content has plummeted, making fake text, images, and videos increasingly easy and cheap to produce. This has led to a fundamental shift: while AI dramatically lowers the cost of information production, it also undermines trust and authenticity online. What becomes truly valuable is not more content, but the ability to verify what is real—"verifiability." This perspective offers a new lens for Bitcoin. Its massive energy consumption, often criticized as wasteful, is reinterpreted. While AI burns energy to enhance "capability" and efficiency, Bitcoin burns energy to produce "verifiability." Its purpose is not to be trusted but to enable a system where no trust in intermediaries—banks, platforms, or developers—is needed. Every transaction and the entire ledger's history is secured by cryptography and a decentralized network of nodes, making it independently verifiable. AI cannot forge a transaction on the Bitcoin network because the system is designed for proof, not generation. The author draws a historical parallel to the Renaissance: the printing press drastically reduced the cost of copying knowledge, while double-entry bookkeeping reduced the cost of trust in commerce. Today, AI is the new printing press, reducing content creation costs to near zero. Blockchain, and Bitcoin as its pioneer, may be the modern equivalent of double-entry bookkeeping—a foundational technology for verifying digital asset ownership and historical records without centralized authorities. Thus, AI and blockchain are not competitors. AI lowers the cost of creation; blockchain lowers the cost of verification. In an age where AI can generate anything, true scarcity may lie not in more content, but in independently verifiable facts. Whether the market will reprice Bitcoin accordingly remains uncertain, but its core value proposition as a "machine for producing verifiability" becomes strikingly relevant.

marsbit06/30 15:57

In the AI Era, What's Left for Bitcoin?

marsbit06/30 15:57

In the Age of AI, What's Left for Bitcoin?

Author: Sevclub, Seven Research Amid Bitcoin's recent drop below $60k, the author reflects on a growing sense that AI and Bitcoin are two sides of the same coin. Today, encountering any content triggers a new default question: "Was this made by AI?" The cost of generating convincing text, images, and video is now negligible. While the internet lowered information *distribution* costs, AI is crashing information *production* costs to near zero. The consequence is a flood of content where truth and falsehood are increasingly indistinguishable. In this environment, what becomes truly valuable is not more information, but the ability to verify what is real—"verifiability." This reframes the common criticism that Bitcoin "wastes electricity." AI consumes power to produce "capability" (e.g., more powerful models). Bitcoin consumes power to produce something else: "verifiability." Bitcoin's core purpose isn't about belief or trust in any institution, developer, or even its creator. It's about enabling independent verification. Every bitcoin's origin, every transaction, and the integrity of the entire ledger are secured by mathematics, cryptography, and a global network of nodes. AI can fabricate convincing media, but it cannot falsify a transaction on the Bitcoin network. The expended energy makes篡改历史 (tampering with history) prohibitively expensive, purchasing a globally verifiable ledger. The author draws a historical parallel to the Renaissance. The printing press drastically reduced the cost of copying knowledge, while double-entry bookkeeping reduced the cost of trust in commerce—one enabled creation, the other verification. Today, AI is the new printing press, driving content production costs toward zero. The question becomes: what is this era's "double-entry bookkeeping"? Blockchain appears to be the leading candidate. It doesn't verify which news is true or which image is real, but it provides a foundational layer for independently verifying asset ownership and historical records in the digital realm without centralized authorities. Therefore, AI and blockchain are not in competition. AI lowers the cost of *generation*. Blockchain (and Bitcoin as a prime example) lowers the cost of *verification*. One creates, the other proves. Whether Bitcoin ultimately succeeds remains uncertain, facing potential challenges from quantum computing, regulation, and technical evolution. However, the author now sees it less as a "machine for making bitcoin" and more as a "machine for making verifiability." In an age where AI can generate anything, true scarcity may no longer be "more content," but "more independently verifiable facts." Whether the market will price this accordingly is a separate question.

链捕手06/30 15:48

In the Age of AI, What's Left for Bitcoin?

链捕手06/30 15:48

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