Indepth Research

Provide in-depth research reports and independent analysis, leveraging data, technology, and economic insights to deliver a comprehensive examination of the blockchain ecosystem, project potential, and market trends.

IOSG Founder: Please Tell Vitalik the Truth, May the OGs Who Enjoyed the Industry's Dividends Illuminate the Young

**Summary: An Urgent Call for Leadership and Renewal in Web3** In a candid and urgent article, the founder of IOSG Ventures voices deep concerns about the current state and future of the Web3 ecosystem, framing it as a critical turning point. The author's recent experience at a global tech conference highlighted a concerning trend: many former crypto professionals are now rebranding as founders in AI, biotech, and robotics, representing a "great self-rescue" but also a potential exodus. Key problems identified include a broken feedback loop within the ecosystem, a mass departure of developers to AI, and a severe lack of positive societal recognition for Web3, making it difficult for practitioners to take pride in their work. The author expresses worry that Ethereum, despite its foundational role, missed crucial windows for building mainstream applications by over-focusing on technical narratives like ZK and L2 during the last bull market. A significant concern is that **Vitalik Buterin might be living in an information bubble**, shielded from the community's real struggles by those with vested interests, hindering necessary reforms. The piece draws a stark contrast between U.S. and Chinese "OGs" (industry veterans). While many American OGs continue to reinvest their wealth and efforts into building the ecosystem, the author observes that a significant portion of Chinese OGs have cashed out or pivoted to other sectors like AI, leaving the Asian Web3 ecosystem with a severe funding crisis and weakened "blood-making" capacity. The central appeal is a call to action. The author urges **OGs who have benefited from the industry's growth to "light the way" for the next generation** through mentorship, grants, and direct support—not just large investments, but practical help like referrals, mailing list access, or small grants. Buterin is asked to re-engage with the grassroots, break out of his information bubble, and lead the community through this challenging bear market, which is described as the best time to build the next foundational product. For current builders and founders, the advice is to find their "why," build alliances for mutual support, continue learning (including about AI), and maintain personal well-being without letting token prices define self-worth. The author concludes that the industry's survival depends not on any single leader, but on every remaining believer becoming a "lighthouse" to guide others, ensuring the ecosystem has a future worth building for.

链捕手05/22 00:24

IOSG Founder: Please Tell Vitalik the Truth, May the OGs Who Enjoyed the Industry's Dividends Illuminate the Young

链捕手05/22 00:24

Viewpoint: After Surviving the Death Cycle, Why Has Privacy Pioneer Zcash Returned to the Mainstream Spotlight?

Zcash, the pioneering privacy-focused cryptocurrency built with zero-knowledge proof (ZK) technology, is re-emerging as a major narrative. Having survived a "death cycle" and proven its resilient community, Zcash is now positioned at a unique convergence of factors driving renewed institutional and retail interest. Key catalysts include the increasing institutionalization of crypto (e.g., BlackRock's ETF), which creates a "Trojan horse" for privacy adoption through Zcash's transparent mode. The rise of AI-powered on-chain surveillance makes financial privacy a critical necessity, not just for niche users but for mainstream wealth preservation against overreach. ZK technology has finally matured to enable practical, user-friendly private transactions, a core advantage over older "obfuscation" methods like Monero's ring signatures. Zcash’s narrative as "private Bitcoin"—a fork with the same 2100M cap and PoW—is simple and powerful. It competes in the store-of-value arena, offering cryptographic privacy as a fundamental human right. Its development roadmap is robust, featuring a soon-to-be-complete quantum resistance upgrade for its shielded pool, faster block times, and improved wallet support (e.g., from Ledger). With backing from major funds and a growing developer ecosystem, Zcash is seen as leading the crucial reintegration of privacy into the crypto landscape, fulfilling the original cypherpunk vision.

marsbit05/21 10:28

Viewpoint: After Surviving the Death Cycle, Why Has Privacy Pioneer Zcash Returned to the Mainstream Spotlight?

marsbit05/21 10:28

New Paradigms and Investment Logic in the Era of AI+Web3

In the era of AI+Web3, a venture capital firm shares insights from reviewing numerous projects. The AI industry is seen as still early-stage, structured in a "seven-layer matrix" from power infrastructure to AI agents. Investment timing is crucial, especially in cyclical sectors like AI data centers. The integration of AI and Crypto is deemed essential for two reasons: 1) AI agents require "financial sovereignty" for micro, high-frequency, machine-to-machine transactions, and 2) blockchain provides trust and auditability to address AI "hallucinations" and ensure transparency. The core investment principle is "honesty." Teams must be genuine, not hastily assembled, and products must be substantiated by real metrics, not just flashy demos. Projects built on honesty are valued for long-term success over short-term hype. Looking ahead, the most underestimated opportunity for 2026 is the deep fusion of AI, blockchain, and entertainment. While most investment focuses on B2B infrastructure like payments and decentralized computing (DePIN), the future lies in consumer applications. As AI automates most human labor, society will shift towards leisure, creating massive demand for high-quality entertainment. AI can power immersive experiences (e.g., NPCs with autonomous consciousness in games), while blockchain secures digital ownership and economic systems. This convergence could unlock tremendous value in user time and capital within virtual worlds. *Disclaimer: The content represents the author's views for discussion only and does not constitute investment advice.*

marsbit05/21 08:56

New Paradigms and Investment Logic in the Era of AI+Web3

marsbit05/21 08:56

Deconstructing Anthropic: The Best AI Company Might Also Be an 'Organizational Invention'

Anthropic has emerged as one of the most compelling and fastest-growing AI companies. Its core strengths lie in strategic focus and unique organizational culture. Strategically, Anthropic concentrated early on coding as the critical path to AGI and commercial success, a focus driven by resource constraints and validated by market results. This contrasts with OpenAI's more expansive, multi-pronged approach. Co-founder Dario Amodei's technical conviction and low FOMO personality fostered this decisive focus. Organizationally, Anthropic has cultivated a distinctive culture characterized by: 1. **Deep Mission-Orientation:** A genuine, almost religious commitment to AI safety as the primary goal, even above corporate success. 2. **High Trust, Low Ego:** An environment where brilliant researchers collaborate effectively without internal politics or status battles. 3. **Strong Humanistic Values:** A bookish, idealistic ethos reflected in its hiring and model naming. This culture is maintained through rigorous cultural screening in hiring, extreme transparency and context-sharing from leadership (like Dario's frequent all-hands), a unique seven-cofounder equal-equity structure that disperses cultural influence, and a "one team" philosophy that minimizes silos. The culture stems partly from business necessity—excelling at the "dirty work" of data engineering for coding/agentic AI—and partly from Dario's negative experiences with political infighting at previous companies, motivating him to build Anthropic as an antithesis. While OpenAI remains a formidable competitor with greater resources and exploratory zeal, Anthropic demonstrates that success in the AI era can also come from focused bets, cohesive culture, and a steadfast mission, offering a distinct model of organizational invention.

marsbit05/21 04:04

Deconstructing Anthropic: The Best AI Company Might Also Be an 'Organizational Invention'

marsbit05/21 04:04

147 Trillion vs 70 Billion: The Rise of On-Chain 'Risk Managers' and the Potential Dawn of a New Era in DeFi Asset Management

"147 Trillion vs 70 Billion: The Rise of On-Chain 'Risk Managers' and the Potential Dawn of a New Era in DeFi Asset Management" Key Points: The role of professional asset managers is emerging in DeFi, ending the era where protocols and governance dictated everything. While early DeFi protocols like Aave and Compound bundled risk management within their code, innovations like Morpho have separated infrastructure from risk judgment. This allows specialized "Risk Managers" to operate independent lending vaults, acting as on-chain asset managers. The market, though early with ~$7B in assets under management (AUM), is rapidly consolidating around top performers like SteakhouseFi (RWA focus), SentoraHQ (AI-driven models), and Gauntlet (crisis management). This modular structure mirrors TradFi's division of labor: distributors (e.g., exchanges) source capital, Risk Managers design strategies and set standards, and underlying protocols handle custody and execution. For traditional asset managers, this familiar structure presents clear entry paths: 1) **Distribution**: Partnering with Risk Managers as a backend service. 2) **Supply**: Bringing real-world assets (RWA) on-chain as collateral. 3) **Operation**: Becoming a Risk Manager themselves (e.g., Bitwise). The core competency required is shifting from coding to traditional risk underwriting and financial expertise—areas where established institutions hold a natural advantage. While the current DeFi market (~$80B) is minuscule compared to global asset management (~$147T), it represents a significant growth runway. The teams that build the trusted standards and rails for risk-managed capital now are poised to define the market's future as institutional capital seeks secure on-ramps.

marsbit05/21 01:24

The AI Stock Genius Who Made 60x Bets $7.7 Billion on Nvidia Topping Out

An AI-focused hedge fund named Situational Awareness LP, known for its 60x returns, has taken a significant bearish stance on semiconductor stocks in Q1 2026. Its 13F filing reveals a massive 148% quarterly increase in nominal exposure to $13.677 billion, with over 60% of the new exposure directed towards put options on major chip players. Key bearish bets include $2.04 billion in puts on the VanEck Semiconductor ETF (SMH) and $1.56 billion on NVIDIA, alongside positions against Broadcom, Oracle, AMD, and others. The fund simultaneously increased its long equity holdings in AI infrastructure and compute providers like CoreWeave and Bitcoin mining companies repurposing for compute. The core thesis behind this positioning is a shift in the primary constraint for AI expansion. The fund argues that while GPU supply was the critical bottleneck in previous years, the new limiting factors for large-scale AI cluster deployment are physical infrastructure: electrical grid access (with multi-year backlogs in the US), power availability, land, and data center construction timelines. The fund is not betting against AI's success but rather hedging against potential valuation corrections in semiconductor stocks whose prices may have run ahead, while directly investing in the downstream physical bottlenecks—power and data center capacity—it believes will capture value next. This move translates a previously theoretical narrative about infrastructure constraints into a concrete, high-conviction portfolio structure.

链捕手05/20 14:50

The AI Stock Genius Who Made 60x Bets $7.7 Billion on Nvidia Topping Out

链捕手05/20 14:50

Deep Dissection of the Anthropic Account Banning Storm: The Behind-the-Scenes of the Safety Religion, AI Civil War, and Claude's Dilemma Under US-China Decoupling

"Deconstructing Anthropic's Account Banning Storm: Safety Dogma, AI Civil War, and the Claude Dilemma Under US-China Decoupling" analyzes the aggressive user account suspension policies of Anthropic, particularly for its product Claude Code. The article attributes this to a multi-layered convergence of factors. The root cause is traced to founder Dario Amodei's personal "safety religion." Shaped by his father's illness and his exit from OpenAI over safety disagreements with Sam Altman, Amodei embedded this "zero-tolerance" philosophy into Anthropic's DNA. This manifests in technologies like Constitutional AI and a "preventive enforcement" approach to risk, prioritizing safety over user experience or growth. This stance defines Anthropic's position in the US "AI Civil War," pitting "safety-first" proponents like Amodei against "accelerationists" like Altman who prioritize rapid development and commercialization. Anthropic's strict model aligns with its business strategy targeting high-value, low-risk enterprise clients who pay a premium for security, unlike OpenAI's mass-market approach. Capital from Amazon and Google supports Anthropic but also creates a delicate balance, as these investors need its safety reputation without allowing overly restrictive policies to cripple its commercial viability. The conflict escalated when Anthropic refused a US Department of Defense contract requiring the removal of safety guardrails, leading to its placement on a "supply chain risk" blacklist—a key example of the public battle between the two AI factions. For Chinese users, the stringent bans are further compounded by US-China tech decoupling. Anthropic's policies act as a tool for compliance with US export controls, making Chinese users—who often circumvent regional blocks via VPNs or virtual cards—primary targets for "preventive" account terminations to avoid regulatory penalties. The article concludes that Anthropic's harsh account control measures are unlikely to loosen in the near future, being integral to its founding philosophy, business model, and geopolitical compliance needs, positioning it as a unique, security-obsessed player in the tripartite global AI competition involving US safety and acceleration factions and rising Chinese AI power.

marsbit05/20 14:34

Deep Dissection of the Anthropic Account Banning Storm: The Behind-the-Scenes of the Safety Religion, AI Civil War, and Claude's Dilemma Under US-China Decoupling

marsbit05/20 14:34

Deconstructing Anthropic: The Best AI Company May Also Be an Organizational Invention

Anthropic has emerged as one of the most notable AI companies, distinguished by its strategic focus and unique organizational culture. Strategically, Anthropic demonstrated exceptional foresight by prioritizing coding early on, recognizing it as a critical path for model learning, commercial value, and accelerating AGI research. Unlike OpenAI's expansive, multi-front approach, Anthropic maintained rigorous focus on scaling language models and the coding vertical, avoiding distractions like multimodal development. This discipline stemmed partly from resource constraints but also from the conviction of its leadership, particularly co-founder Dario Amodei, who exhibits a strong, independent strategic vision. Organizationally, Anthropic’s culture is its “secret sauce.” It is characterized by a strong, mission-oriented focus on AI safety, high trust, low ego among employees, and a distinct humanistic ethos. This culture has resulted in remarkably low talent attrition and high retention rates. Key practices sustaining this culture include stringent cultural screening in hiring, high-context transparency and writing practices led by leadership, a founding structure of seven co-founders with equal equity to diffuse values, and a deliberate “one team” approach that minimizes internal silos and hierarchy. This culture is both a reaction to the political dynamics its founders experienced at previous companies and a functional necessity for the data-intensive, collaborative “dirty work” required to excel in coding and agentic AI. While OpenAI remains a formidable competitor with greater resources and exploration, Anthropic’s success illustrates how focus, cultural cohesion, and a steadfast mission can be powerful drivers in the AI race.

marsbit05/20 13:09

Deconstructing Anthropic: The Best AI Company May Also Be an Organizational Invention

marsbit05/20 13:09

Tiger Research: On-Chain Risk Operators, The Market Cap Gap Between 147 Trillion and 70 Billion

This report by Tiger Research examines the evolution of risk management in decentralized finance (DeFi) lending. It highlights a power shift from protocol developers to specialized professional risk operators who manage on-chain capital. The era of protocols and community governance solely dictating DeFi lending is ending. A new professional asset management layer has emerged. While the sector is nascent, capital and distribution channels are rapidly consolidating around top risk operator teams, whose past performance is now a key criterion for institutional entry. The industry's development, accelerated by modular infrastructures like Morpho, has led to a clear division of labor mirroring traditional finance: distribution channels (e.g., exchanges), strategy/risk management (the risk operators), and product infrastructure/asset custody (smart contract protocols). This structure lowers the entry barrier for traditional institutions. Currently, the total value managed by risk operators is approximately $70 billion, dominated by a few leading teams like Steakhouse (RWA focus), Sentora (AI models), and Gauntlet (crisis management). Competition now centers on collateral standards, distribution access, and crisis response capabilities. The report outlines three primary entry paths for institutions: 1) **Distribution Model**: Leveraging external risk operators as backend service providers (common for exchanges). 2) **Asset Supply Model**: Onboarding real-world assets to DeFi as collateral. 3) **Independent Operator Model**: Building an in-house team to become a risk operator (e.g., Bitwise). The core opportunity lies in the strategy/risk management layer, where traditional financial institutions can leverage their existing expertise in due diligence and risk assessment without deep technical development. A vast opportunity gap exists: the global traditional asset management industry manages ~$147 trillion, while the entire DeFi sector is only ~$800 billion, with the risk operator niche at ~$70 billion. This disparity signifies immense growth potential. Once robust risk frameworks and clearer regulations are established, even a minor allocation from traditional markets could trigger exponential DeFi growth. Early movers who help build these foundational systems will gain significant rule-setting influence and first-mover advantages.

marsbit05/20 07:40

Tiger Research: On-Chain Risk Operators, The Market Cap Gap Between 147 Trillion and 70 Billion

marsbit05/20 07:40

Why is HYPE Still Surging? Has it Peaked?

The article analyzes the reasons behind the recent sharp rise of the HYPE token. It attributes the price surge to several key developments that are causing the market to re-evaluate Hyperliquid, transitioning its perception from just a high-performance perpetual DEX to a broader on-chain trading system. Major catalysts include the launch of HYPE ETFs by 21Shares (THYP) and Bitwise (BHYP), which are opening new compliant capital channels. Bitwise's plan to allocate 10% of BHYP's management fee revenue to buy and stake HYPE is seen as a potential source of sustained buying pressure. The return of USDC to the platform, facilitated by Coinbase and Circle, is projected to generate a new, stable revenue stream for Hyperliquid from reserve yields, estimated to potentially fund daily HYPE buybacks worth over $400,000. Furthermore, Hyperliquid is expanding into new areas like prediction markets with HIP-4 (which requires significant HYPE staking) and Real-World Assets (RWA), where its Open Interest has hit a record $2.6 billion. A potential U.S. SEC exemption for tokenized stock trading could further boost its RWA business. While these fundamentals strengthen HYPE's long-term value proposition, the article notes that short-term price action is currently influenced by a large-scale showdown between whale long and short positions exceeding $60 million, making near-term direction uncertain.

Odaily星球日报05/20 01:31

Why is HYPE Still Surging? Has it Peaked?