# Web3 Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Web3", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Public Version of Mythos Officially Launched: Analyzing the Advantages and Limitations of AI Smart Contract Auditing

Publicly available Mythos, Anthropic's AI model, has officially launched, demonstrating both significant potential and limitations in smart contract security auditing. The article analyzes its capabilities through real-world cases. AI excels in identifying subtle, low-level vulnerabilities through pattern recognition and large-scale code screening. A key example is detecting a storage slot collision between a custom rewards mapping and a third-party library's ReentrancyGuard, a vulnerability easily missed in manual audits. In the recent Zcash incident, AI also rapidly discovered a critical soundness bug that had remained hidden for years. However, AI currently struggles with complex, interconnected scenarios. When tested on the Curve LlamaLend sDOLA exploit, which involved manipulating prices across multiple protocols (Curve pools, lending markets) to trigger liquidations, Fable 5 failed to identify the core cross-protocol attack vector. These scenarios require a deep understanding of DeFi economic models and multi-contract interactions. In conclusion, while AI tools like Mythos significantly boost efficiency in finding standardized, syntactic vulnerabilities, they cannot yet replace expert analysis for complex, business-logic, and cross-protocol attacks. An effective audit workflow combines AI's speed for initial screening with human expertise for in-depth, holistic analysis.

marsbitYesterday 08:06

Public Version of Mythos Officially Launched: Analyzing the Advantages and Limitations of AI Smart Contract Auditing

marsbitYesterday 08:06

a16z Partner: Three Paths for Crypto Projects to Find PMF

Author: Jason Rosenthal. Compiler: Shenchao TechFlow. Finding Product-Market Fit (PMF) is the most critical variable for a company's survival. In the crypto space, misaligned growth hacking and airdrops often mask the absence of true PMF. However, leading teams are now finding PMF faster. Here are three proven paths for crypto projects to achieve PMF: 1. **Co-build with Anchor Clients:** Partner with the most sophisticated potential clients in your field and develop the product based on their specific needs. Their adoption serves as the strongest validation, more valuable than media coverage or TVL metrics. This approach is shaping current product roadmaps, as seen in collaborations between crypto startups and traditional finance. 2. **Position Ahead of an Exponential Curve:** Identify and position yourself ahead of a major emerging trend before the market fully realizes it. The most evident current curve is the rise of AI Agents as autonomous economic actors. Projects like AgentCash by Merit Systems, which enables AI Agents to pay for API access with crypto, are building foundational payment rails for the impending Agent economy. 3. **Be Your Own First and Best Customer:** The most enduring infrastructure companies don't wait for external validation. They first build and prove their technology by using it to power their own applications at scale before offering it to others. Matter Labs exemplifies this by anchoring its ZKsync technology in a concrete application, Cari Network, which enables U.S. regional banks to conduct real-time, on-chain interbank transfers of tokenized deposits. The underlying logic is consistent: the fastest path to PMF involves choosing the right battlefield and executing with conviction—by co-building with clients whose validation compounds, positioning ahead of the curve before consensus forms, or becoming your own best case study.

marsbit06/09 02:11

a16z Partner: Three Paths for Crypto Projects to Find PMF

marsbit06/09 02:11

Why Does Crypto Always Build 'Casinos', But Rarely Creates 'Indispensable Products'?

The article explores why cryptocurrency has primarily fostered speculation rather than essential, "sticky" consumer products. It introduces the concept of "sofalarity"—the point where a platform's convenience becomes so ingrained that leaving feels unthinkable. While Big Tech creates this lock-in through ecosystem control and data harvesting, crypto lacks equivalent everyday utility. Its appeal hinges on the variable rewards of price volatility, akin to gambling, which drives engagement but not dependency. The author argues crypto's core promise—fixing opaque backend systems like correspondent banking—solves problems most people never see or feel, failing to deliver a tangible "aha moment" of improved daily life. This need for explanation hinders mass adoption. Meanwhile, platforms like Google and Meta monetize vast behavioral data, a treasure trove crypto's transparent ledgers (recording only financial transactions) cannot match for predictive insight. The piece further questions whether crypto's potential lies in consumer super-apps or, more plausibly, in becoming enterprise-grade infrastructure—modern settlement rails. It concludes with a critical look at Real-World Asset (RWA) tokenization, suggesting it may merely digitize and accelerate corporate extraction (e.g., in housing or healthcare) rather than democratize access, as the technology itself is a neutral tool. True disruption, the author implies, requires building sovereign systems outside exploitative platforms.

marsbit06/08 06:18

Why Does Crypto Always Build 'Casinos', But Rarely Creates 'Indispensable Products'?

marsbit06/08 06:18

From Ethereum to AI's 'CROPS': What Exactly Is This 'Slow Variable' That Vitalik Has Repeatedly Emphasized?

Recently, Vitalik Buterin has frequently emphasized the concept of "CROPS," first outlined in the Ethereum Foundation's March mandate as core principles guiding its focus: Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. CROPS represents Ethereum's commitment to providing foundational capabilities for user sovereignty—enabling asset ownership, identity expression, and coordination without reliance on centralized platforms or surrendering ultimate control. This framework is gaining new urgency with the rise of AI, particularly AI agents managing digital assets and automating transactions. While AI offers convenience, it risks centralizing user data, intent, and control if dependent on opaque, centralized services. Vitalik argues for "CROPS AI"—AI that is open, privacy-preserving, secure, and capable of local execution to maintain user agency. He highlights convergence between "CROPS Ethereum access layers" and "CROPS AI," such as using zero-knowledge proofs for private remote LLM calls and Ethereum RPC reads, ensuring users can access services without exposing sensitive information. Ultimately, CROPS is not just an abstract ideal but a practical guide for Ethereum's development and AI integration. It addresses the critical long-term question: as digital systems grow more powerful, how can users retain control over their privacy, assets, and autonomy? In an AI-driven era, these principles may define Ethereum's enduring value—prioritizing verifiable, secure, and user-centric design over short-term optimizations like speed and cost alone.

marsbit06/06 08:07

From Ethereum to AI's 'CROPS': What Exactly Is This 'Slow Variable' That Vitalik Has Repeatedly Emphasized?

marsbit06/06 08:07

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit06/05 12:40

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit06/05 12:40

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit06/05 11:18

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit06/05 11:18

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