Hurun Report Interview with Justin Sun: New Paradigm of Value Circulation in the Web3 Transformation Cycle

链捕手Опубліковано о 2026-05-29Востаннє оновлено о 2026-05-29

Анотація

In an interview with *Hurun Report*, Justin Sun, founder of TRON, discussed the evolution of the Web3 industry as it transitions from early-stage exploration to large-scale adoption. He emphasized that the fundamental goal of blockchain technology is to build an open and inclusive internet of value, enabling low-cost, efficient fund transfer for anyone globally, regardless of location or access to banking. Sun highlighted stablecoins as the most mature and scalable application within Web3, noting that TRON has grown into one of the world's largest stablecoin networks, with over $86.3 billion in USDT circulation. He attributed this growth to genuine user demand in cross-border payments and daily transactions, reflecting a structural shift where blockchain's openness and efficiency are naturally supplementing traditional financial systems. Regarding strategy, Sun outlined a framework combining data-driven iteration, rapid execution, and user-centricity. He pointed to TRON's partnership with Tether for TRC-20 USDT as a key decision that leveraged market trends and network effects to build a competitive moat. He also stressed the importance of globalization, noting that success in different markets depends on deep local compliance, cultural adaptation, and partnership networks. Sun expressed strong interest in the convergence of AI and blockchain, viewing AI as a transformative force that can enhance blockchain's intelligence and user experience, while blockchain provides dece...

Against the backdrop of the Web3 industry entering a deep-water zone and the accelerated global restructuring of financial infrastructure, blockchain is transitioning from early exploration to large-scale application. As an authoritative institution with extensive influence in business and investment, an in-depth interview by the renowned magazine, Hurun Report, is regarded as a significant industry barometer. Recently, Justin Sun, founder of TRON, in an exclusive interview with Hurun Report, systematically elaborated his judgment on industry evolution and long-term value around core issues such as stablecoin payments, globalization path, and AI integration trends. His views also reflect the critical stage where Web3 infrastructure is moving from "feasibility verification" to "global adoption".

Stablecoins Building a Global Value Circulation Network, Web3 Infrastructure Enters Scaling Phase

In the interview with Hurun Report, Justin Sun summarized the core goal he has long been committed to in extremely concise terms: "To enable any person in the world, regardless of location or whether they have a bank account, to transfer and use their funds at low cost and high efficiency." This statement fundamentally reveals the value essence of blockchain technology — constructing an open and inclusive value internet.

He further pointed out that after the blockchain industry has gone through multiple bull and bear cycles, projects truly capable of weathering these cycles must be built upon real demand and practical usage. The continuous growth of on-chain user scale and transaction volume is an important basis for his judgment of industry direction. In this context, the on-chain payment system centered around stablecoins has become the most mature and capable application scenario for scaling currently.

In the Hurun Report interview, Justin Sun mentioned that TRON has rapidly developed into one of the world's largest stablecoin circulation networks, with its on-chain asset transfer volume even surpassing that of some traditional payment networks. This growth is not driven by short-term market sentiment but based on the continuous use by real users in scenarios such as cross-border transfers, value storage, and daily payments. Official data shows that the current circulation of USDT on the TRON chain has exceeded $86.3 billion, a scale reflecting strong network effects driven by real user demand.

From a structural advantage perspective, the scaling of stablecoin payments benefits from two factors: on one hand, blockchain networks possess openness and permissionless characteristics, enabling them to cover user groups difficult for the traditional financial system to reach; on the other hand, the limitations of traditional cross-border payment systems in efficiency, cost, and user experience provide significant substitution space for new-generation infrastructure. Sun believes this trend is essentially a "natural substitution" of existing financial systems by technological progress, not short-term competition.

Globalization Strategy and Technology Convergence Advance in Parallel, Building Long-term Competitive Advantage for Web3

When discussing enterprise growth and strategic decision-making, Justin Sun presented a highly systematic methodology in the Hurun Report interview. He summarized the success factors as the combination of "data-driven iteration, rapid execution, and user orientation," emphasizing that in a rapidly changing technological environment, single-dimensional capabilities can no longer support long-term competitiveness; the synergy of these three is necessary to achieve efficient trial-and-error and precise decision-making.

At the organizational level, he proposed a management framework of "clear direction, layered support, and a sense of ownership among all members" to avoid deviation and loss of control during rapid expansion. This organizational structure, emphasizing flatness and agility, is seen as an important foundation for Web3 enterprises to maintain competitiveness in highly uncertain environments.

Regarding key strategic decisions, Sun reviewed the case of TRON's partnership with Tether to launch TRC-20 USDT in the Hurun Report interview. He stated that this decision was based on a comprehensive assessment of market trends, competitive landscape, and risk-reward ratio: stablecoins represent a long-term trend in financial system evolution, top assets possess significant network effects, and the upside potential in this field far outweighs the potential risks. It has been proven that this cooperation became a crucial growth engine for the TRON ecosystem and built its core competitive moat in the stablecoin domain.

Regarding global expansion, Sun emphasized that while Web3 has inherent cross-border properties, its actual implementation remains highly dependent on local compliance and cultural adaptation. In the Hurun Report interview, he noted that different markets have significant differences in regulatory frameworks, user habits, and business environments. The success of a project often depends on the depth of understanding of these differences and the ability to build local partnership networks.

Furthermore, Justin Sun expressed a clear judgment on the development of AI technology. In the interview, he stated that AI is not merely a tool upgrade but a reconstruction of "thinking and decision-making capabilities." Its integration with blockchain in data, computing power, and intelligent execution will become a crucial direction for the next stage of technological evolution. Blockchain provides decentralized infrastructure for AI, while AI enhances the intelligence and user experience of blockchain systems; the convergence of the two holds long-term strategic value.

For industry participants and young entrepreneurs, the core advice Justin Sun gave in the Hurun Report interview is: in a highly uncertain environment, continuous learning and rapid adaptation are the most critical abilities. Simultaneously, one should focus investments based on an understanding of the overall industry landscape, building irreplaceable core strengths rather than dispersing resources across multiple tracks.

From early-stage technical verification and market exploration, gradually entering the large-scale application phase represented by stablecoins, and extending towards AI convergence and global compliant implementation. In this process, TRON is continuously advancing the implementation and evolution of the value internet through infrastructure capabilities, globalization strategy, and forward-looking technological layout.

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GitHub, Transfixed by AI

On the night of February 9th, GitHub suffered a major outage caused by a simple configuration change—reducing a cache refresh interval from 12 to 2 hours—that triggered a cascade of failures. This was not an isolated event, but part of a broader pattern. In early 2026, GitHub experienced at least 8 major incidents, failing to meet its promised 99.9% availability. These outages stemmed from structural issues: explosive growth in load, tight service coupling, and insufficient protection against abnormal traffic. This unprecedented load is driven by AI Agents. In 2025, GitHub handled ~1 billion commits. By 2026, weekly commits reached 275 million, projecting to ~14 billion for the year—a 14x increase. AI tools like Claude Code now contribute 4.5% of all public repository commits, with weekly submissions surging 25x in just three months. AI-generated pull requests jumped from 4 million to 17 million per month in half a year. Unlike human developers, AI Agents work continuously, generating commits at a scale that overwhelms infrastructure designed for human rhythms. The surge also shattered GitHub's business model. Copilot's flat-rate pricing, based on assisting human developers, became unsustainable as Agentic AI sessions consumed resources worth hundreds of dollars for a few dollars in fees. In response, GitHub imposed usage limits and, by June 1st, shifted to a pay-per-use "AI Credits" system. Facing this new reality, GitHub realized a 10x scaling plan was insufficient. It announced a need to *redesign* its architecture for 30x current scale—decoupling services, adding fault isolation, and improving change management to prevent cascading failures. Other platforms like Stripe and AWS are facing similar challenges with AI Agents. Fundamentally, GitHub is transitioning from a human collaboration platform to an "exhaust pipe" for automated AI workflows. Its detailed post-mortem reports aim to maintain trust during this turbulent rebuild. The February outage was not just a technical glitch, but a signal of the software industry's entry into a new, AI-driven era.

marsbit19 хв тому

GitHub, Transfixed by AI

marsbit19 хв тому

Both Suffer Massive Losses Exceeding $90 Billion, Which Is in Greater Peril: Strategy or Bitmine?

Facing massive paper losses exceeding $90 billion each amidst a sharp market downturn, "Digital Asset Treasury" (DAT) giants Strategy and Bitmine find themselves in a precarious position, but with different underlying risks. Strategy, heavily invested in Bitcoin (BTC), faces significant financial strain. Its strategy relies heavily on debt, including convertible notes and preferred stock (STRC) requiring substantial dividend payments. With its cash reserves dwindling and BTC offering no staking yield for cash flow, Strategy's high leverage makes it vulnerable. A continued price decline could force asset sales to meet obligations, potentially creating a negative feedback loop. Its market value has already fallen sharply. In contrast, Bitmine, an Ethereum (ETH) holder, appears on firmer financial ground. It primarily funds its purchases through equity offerings (like ATM programs), avoiding debt pressure. It also generates income by staking a large portion of its ETH holdings. While not immune to market drops and shareholder dilution concerns, Bitmine maintains more flexibility, recently announcing a new preferred share offering to raise further capital. The core divergence lies in their financing: Bitmine uses equity (investor money), while Strategy uses debt (borrowed money). Consequently, Bitmine currently faces less immediate liquidity pressure than Strategy, which must navigate the dual challenge of servicing debt/dividends and a declining core asset (BTC) price.

marsbit26 хв тому

Both Suffer Massive Losses Exceeding $90 Billion, Which Is in Greater Peril: Strategy or Bitmine?

marsbit26 хв тому

Where the AI Bubble Really Is: Which Layer of Players Are Naked

AI Bubble: Where It Really Is and Who's Swimming Naked This analysis dissects the AI industry not as a single entity but as a five-layer pyramid, arguing that bubbles are concentrated in specific tiers, not uniformly distributed. **Key Distinction from the 2000 Dot-com Bubble:** Unlike 2000, where companies had stock prices before revenue, today's leading AI players have massive, contract-backed revenue driving their valuations. Core infrastructure demand is real, with every GPU running at full capacity for paying customers. **The Five-Layer Pyramid & Bubble Assessment:** * **L0 (Fab/Manufacturing) & Top L4 (Leading AI Apps): NO BUBBLE.** Companies like TSMC, NVIDIA, major cloud providers (Microsoft, Google, Meta, Amazon), and top AI labs have real revenues and orders. Supply is tightly constrained by TSMC's disciplined capacity control and physical limits like power/land for data centers, preventing a supply glut. * **L1 (Memory): BATTLEGROUND.** Sky-high HBM margins could signal a new structural cycle or a classic "boom before bust." The oligopoly of three major players may enforce supply discipline, making this a high-stakes bet. * **L2 (Interconnect/Optical Modules): BUBBLE TERRITORY.** Companies like Lumentum and AAOI have seen stock surges (4-10x) far outpacing revenue growth. This hardware segment has lower physical barriers to expansion than fabs, allowing speculation. It mirrors the 2000 bubble's epicenter—optics. * **L3 (Infrastructure/"GPU Landlords"): VULNERABLE.** GPU leasing companies profit from the current compute shortage but own no long-term moat. Their business model relies on a temporary bottleneck that will ease as big tech expands and new tech (e.g., potential space-based data centers) emerges. * **L4 Long Tail (VC-backed Startups): STRONG BUBBLE SIGNALS.** VC funding concentration in AI is twice that of the 1999 peak. Many startups with little revenue use the valuation logic of successful giants to justify their own, creating high risk of a "valuation crunch" when funding dries up. **Critical Risks to Monitor:** 1. **GPU Depreciation & Accounting:** Companies extending the assumed useful life of GPUs artificially boost profits. The true economic life depends on future generational leaps from NVIDIA. 2. **"GPU Credit" & Off-Balance-Sheet Leverage:** Emerging structures where shell companies borrow to buy GPUs and lease them out (with chipmakers sometimes investing) move debt off major balance sheets. This echoes the "vendor financing" of 2000 and the securitization risks of 2008, though currently small-scale. 3. **TSMC Abandoning Caution:** If the primary supply bottleneck (TSMC's conservative capacity planning) breaks, runaway supply could trigger a bust. 4. **Algorithmic Efficiency Breakthrough:** A major leap in software efficiency could drastically reduce the need for raw compute hardware, undermining the investment thesis. **Conclusion:** The AI boom is expensive and has frothy areas, but its core is underpinned by real demand and physical supply constraints. The bubble risk is layered: most present in optical components, GPU leasing, and the long-tail startup ecosystem, while the foundational chip manufacturing and leading application layers remain relatively solid—for now.

marsbit38 хв тому

Where the AI Bubble Really Is: Which Layer of Players Are Naked

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