<div id="readability-page-1"><p>On May 10, 2026, the &#34;AI Geek Competition &amp; AI Singularity City Brainstorming Carnival,&#34; jointly initiated by Jinse Finance, Twinkle, and Dashu Finance, produced by HTX DAO, with strong support from Huazhi Education and Beijing Shouchuang Langyuan STATION, Zhihu as a special partner community, and AIGC Audiovisual Industry Innovation Center providing industry support, successfully concluded at Beijing Shouchuang Langyuan STATION. <br/></p><p>Helium, the initiator of the HTX Genesis Hackathon and a core builder of HTX DAO, accepted an exclusive interview with Jinse Finance.</p><div><li>I believe it would be better to launch applications that integrate AI with human collaboration.Many AI applications are technologically advanced, but lack the &#34;human&#34; layer, ultimately failing to generate real demand or value, and gradually losing popularity.Therefore, I believe that applications of AI in collaboration with humans are more valuable.In the construction of HTX DAO, we have always viewed DAO as an organic entity of &#34;human-machine collaboration.&#34; This has inspired me to think about issues from this perspective. Compared to purely machine-based approaches, I am more concerned with the new value forms generated by &#34;human + AI&#34; collaboration, and products that can truly serve people, amplify human capabilities, and improve the efficiency of social collaboration. I believe these directions have significant long-term value. I believe that combining AI capabilities with human thinking, and truly linking AI infrastructure to real-world application scenarios by serving users, assisting decision-making, and improving the user experience, would be a better entrepreneurial approach. Agent, Computing Power, and the Machine Economy Jinse Finance: Since the second half of last year, Agent Coding, represented by Claude Code, has shone brightly and is currently the AI ​​sector that has first established commercial value. Why is this? Besides Coding, which other AI sectors do you think will be the first to possess commercial value? Helium: I think there is an unavoidable issue—the establishment of ownership in the machine economy. We need to clarify: Who owns the data? Who owns the agent? How is the content created by AI distributed and settled? Will computing power become an important asset in the future? These questions are essentially related to blockchain. The future machine economy will inevitably involve: AI Agent Ownership Confirmation, Computing Power Assetization, Data Governance, On-Chain Governance Mechanisms, AI-Human Collaborative Relationship, and AI Economy Payment Methods. While the industry is currently focused on competing for computing power and large-scale model capabilities, with greater emphasis on technological iteration, product capabilities, and market competition, the issues of &#34;ownership&#34; and &#34;ownership confirmation&#34; have not yet truly become core industry topics. However, I believe these issues definitely need to be considered in advance. Because once AI computing power truly becomes a super productive force, humanity will inevitably begin to think: &#34;Who does it belong to?&#34; I believe that in the future, AI computing power may even become a digital asset with governance rights. At the same time, without ownership and governance mechanisms in the AI ​​era, it is easy to become extremely centralized, even forming a &#34;dictatorship of the mechanical age.&#34; Therefore, the importance of blockchain in the AI ​​era will become increasingly significant. What constitutes a truly excellent AI product? Golden Finance: Many people are now using AI to develop various AI products. What do you think are the core characteristics of truly excellent AI products? Helium: A truly good product is one that can enter real communities and be used by real users. I think there's a very important &#34;self-check logic&#34;: What is the original intention of your product? Do your applications, products, and services truly revolve around this original intention? Is there a real need behind this original intention, or is it just the developer's imagination? Many AI products don't lack creativity, but rather a real market and user scenarios. Even if a product has a great concept, if it's not user-friendly and cannot generate real-world usage, it cannot truly be implemented. I believe that currently 90% of AI products haven't truly addressed user needs. Truly excellent AI products need to: Solve real problems; Improve real efficiency; Be usable by users long-term; Form a closed loop of real needs. Large-scale models have already discerned many human dreams and values, but whether many current AI projects truly solve problems still needs time to verify. Is AI a bubble? Jinse Finance: Many people compare the AI ​​industry to the dot-com bubble of 2000. What's your opinion? Helium: The development of any new technology is accompanied by bubbles. But I believe AI is not just a bubble, but the infrastructure of a new era of production. The core of AI is not short-term sentiment, but rather: Whether it truly improves productivity; whether it truly changes social structures; and whether it truly creates new production relations. The internet also experienced a bubble, but ultimately changed the world. AI will do the same. In the long run: Machine production will undoubtedly become a crucial future direction. More interestingly, when AI fully integrates into social production, collaboration, content, finance, and organizational structures, it won't just bring about upgrades to individual tools, but rather an &#34;emergence&#34; of entire social relationships and production methods. This is because once the infrastructure is sufficiently robust, people, agents, data, computing power, payments, and organizations will begin to recombine, generating new collaborative models, new business forms, and new social structures that were previously unimaginable. This change is very similar to the early stages of the internet. Therefore, we believe we are currently in a &#34;Genesis&#34; era. Many new civilizational structures, production relations, and digital economic forms will be redefined in this round of AI and Web3 integration. This is also why we launched the Genesis Hackathon. Secondly, I think what truly deserves attention is not just narratives and hype, but rather looking at the truly valuable and sustainable aspects of this industry. For example, in the blockchain industry, TRON's narrative hype may not always be as strong as Solana's or Ethereum's, but if you look at its true value, you'll find that it has been continuously building infrastructure around &#34;crypto payments&#34; and &#34;stablecoin settlements.&#34; The actual value of these things often far outweighs short-term industry narratives. Many early adopters who truly understood Tron's value as a payment infrastructure have already reaped the benefits of this round of digital economic development. I think Justin Sun is, to some extent, a very typical entrepreneur who &#34;high-profilely builds infrastructure.&#34; The outside world may see more of his marketing and buzz, but in reality, he has long been driving the development of underlying capabilities such as payments, on-chain settlement, stablecoin circulation, and global financial networks—capabilities that are often overlooked. Therefore, I believe that bubbles are an inevitable stage in the development of any new era. What truly matters is not being led astray by short-term emotions and noise, but rather being able to see clearly what truly possesses long-term value amidst the chaos. Many people are swayed by market hype, but those who truly navigate cycles are often those who understand the infrastructure, production relations, and the direction of the times early on. Don't misjudge an era because of bubbles, and don't ignore things with real long-term value because of noise. The Most Important Abilities for Ordinary People in the AI ​​Era: Jinse Finance: As AI's impact on programming, customer service, and design roles becomes increasingly apparent, what abilities do ordinary people most need to develop in the future? Helium: The most important is the ability to continuously learn. There are no permanently stable jobs in this world. The people who truly won't be eliminated by AI are those who: can continuously learn; can continuously upgrade their abilities; can continuously serve user needs; and can understand human emotions and empathize. AI will replace a large amount of repetitive labor. However, emotional connection, understanding, and empathy between people will remain extremely important. In the future, human value will be more reflected in: Creativity, Judgment, Empathy, and Collaboration. As long as one continues to understand the needs of people and society, they will not be easily replaced. AI Payments and the Future Labor Market: Jinse Finance: Please discuss encryption and AI payments. Helium: Many people are now discussing Agent-to-Agent payments. However, I believe that the real problem AI payments need to solve is not just how machines transfer money, but rather: &#34;How do humans establish a relationship with the machine economy?&#34; Past payments were essentially settlement actions following the formation of service relationships between people and organizations. But in the future, with the development of agents, AI services, and the machine economy, we need to consider: How do machines form service relationships with each other? How can automated settlement be achieved? And how should we judge, verify, and trust the behavior and results of a machine agent? Because many services in the future may not be completed directly by humans, but rather through collaboration between agents and between agents and humans. Therefore, behind payments lies a reconstruction of the collaborative and trust relationships of the entire machine economy era. Therefore, I believe Justin Sun's launch of B.AI at this stage is essentially an advance consideration of the infrastructure issues of the &#34;machine economy era.&#34; And these issues, in essence, require underlying protocols and governance systems. B.AI's core vision is to provide the following for a large number of Autonomous Agents globally in the future: Large model access capabilities; Identity and trust verification; Encrypted native payments; Agent collaboration and settlement capabilities. It's more like building the underlying infrastructure in advance for the future machine economy. I believe this is a very important direction because future payments and governance will increasingly resemble a collaborative system of &#34;humans + agents.&#34; If AI payments only focus on machines while ignoring human governance, verification, and trust mechanisms, problems are bound to arise. Therefore, I believe what truly matters for the future is: &#34;the synergistic relationship between AI, blockchain, and human governance.&#34;</li></div></div>

<p>On May 10, 2026, the AI Geek Competition concluded in Beijing, featuring insights from Helium of HTX DAO. He emphasized the importance of AI-human collaboration for creating valuable applications and highlighted the need for ownership and governance in the emerging machine economy. Helium argued that while AI technology is advancing, many products fail to meet real user needs. He believes AI is not merely a bubble but a foundational technology that can transform productivity and social structures.</p>

HTX Helium: From Agent to Machine Economy – How AI is Reshaping Production Relations