Standing Tall Through Storms, Gathering in Hong Kong to Ride the Tide | Registration Opens for Conflux Tree-Graph Digital Finance & Ecosystem Development Conference

marsbitОпубліковано о 2026-05-09Востаннє оновлено о 2026-05-09

Анотація

Every technological wave quietly reshapes the world. From the steam engine to the internet and the digital economy, each has been a growth engine. Today, the convergence of blockchain, AI, and digital finance is accelerating a new transformation. Digital assets are reaching new peaks, global regulatory attitudes are clarifying, and concepts like RWA and stablecoins are scaling into real-world applications. AI Agents are beginning to participate in human production. We stand at a historic juncture where traditional and digital finance are deeply integrating, presenting clear opportunities and tangible challenges. Having operated stably for five years and connected multiple regions globally, Conflux Network continues to serve digital finance and on-chain applications. Hong Kong, as an international financial hub bridging China and the world, is seeing progressive exploration and improved frameworks for Web3 and digital finance. Leveraging Conflux's technical foundation, the Conflux Digital Finance and Ecosystem Development Summit will be held in Hong Kong from May 13 to 15, 2026. This event will foster in-depth dialogue on the future: discussing the evolution of digital financial infrastructure, the compliant implementation of RWA and stablecoins, ecosystem reshaping and on-chain governance in the age of AI Agents, and Web3 security frameworks. It will gather global scholars, entrepreneurs, investors, financial institutions, and industry representatives for cross-disciplina...

Every wave of technological advancement quietly reshapes the world's operating paradigms. The steam engine propelled the rise of industry, information technology and the internet turned the "global village" into a reality, and the digital economy has gradually become a key engine of global growth. Today, the convergence of blockchain, AI, and digital finance is accelerating the arrival of a new transformative era.

The scale of digital assets continues to hit historical highs, global regulatory attitudes toward digital financial innovation are becoming increasingly clear, RWA and stablecoins are evolving from concepts to large-scale implementation, and AI Agents are beginning to actively participate in human production and creation. We stand at a historical juncture where traditional finance and digital finance are deeply integrating. Opportunities have never been so clear, and challenges have never been so tangible.

The Conflux Network tree-graph public blockchain has been operating stably for five years, connecting multiple countries and regions globally, and continuously serving the development of digital finance and on-chain applications. Hong Kong, as an international financial center, has long played a pivotal role as a hub connecting Mainland China with the world, where capital, information, and industries converge and flow. In recent years, explorations around digital finance and Web3 have been steadily advancing here, with institutional and market environments gradually improving, providing clearer space for the experimentation and implementation of new technologies.

Leveraging Conflux's technological foundation, the Conflux Tree-Graph Digital Finance & Ecosystem Development Conference will be held in Hong Kong from May 13th to 15th, 2026.

This will be an in-depth dialogue about the present and the future: centering on core topics such as the evolution of digital financial infrastructure, the compliant implementation of RWA and stablecoins, ecosystem restructuring and on-chain governance in the era of AI Agents, and the construction of Web3 security systems, the event will gather academics, entrepreneurs, investors, financial institutions, and industry representatives from around the world for profound cross-disciplinary exchanges. On the final day of the conference, Conflux will co-host a themed salon with The University of Hong Kong, planting seeds of future-oriented thought in the minds of the younger generation.

Scan the QR code above to register

As technology transitions from "usable" to "scalably applicable," and as finance evolves from "digitalization" to "on-chain and intelligent" operation, the restructuring of industrial architecture has already begun. Whether you are a developer, researcher, entrepreneur, or an explorer keeping a watchful eye on digital finance and Web3, we look forward to meeting you in Hong Kong.

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QWhat is the main topic of the "Conflux Tree-Graph Digital Finance and Ecosystem Development Conference"?

AThe main topic is the intersection of blockchain, AI, and digital finance, focusing on infrastructure evolution, RWA and stablecoin compliance, ecosystem reshaping in the AI Agent era, on-chain governance, and Web3 security.

QWhen and where will the "Conflux Tree-Graph Digital Finance and Ecosystem Development Conference" take place?

AThe conference will take place in Hong Kong from May 13th to 15th, 2026.

QAccording to the article, why is Hong Kong considered a suitable location for this conference?

AHong Kong is a global financial hub connecting Mainland China and the world. It has increasingly clear regulations and a supportive market environment for exploring digital finance and Web3, providing space for the practical implementation of new technologies.

QWhat specific event is mentioned for the final day of the conference?

AOn the final day, Conflux will co-host a thematic salon with the University of Hong Kong, aiming to share insights about the future with the younger generation.

QWho is the target audience for this conference according to the article?

AThe target audience includes developers, researchers, entrepreneurs, investors, financial institutions, industry representatives, and anyone exploring or interested in digital finance and Web3.

Пов'язані матеріали

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

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OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

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