Is decentralized AI a fake issue? Dragonfly Partners Reveal the True Intersection of AI and Crypto: Proxy Micropayments

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ABMedia
06-02
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At a time when AI and cryptocurrency convergence has become a hot topic, Tom Schmidt, a partner at Dragonfly Capital, expressed a cautious perspective different from the mainstream during the TBPN Crypto Day program. He pointed out that most current decentralized AI concepts face significant technical bottlenecks, and instead, stablecoins and blockchain might find a more practical foothold in applications involving agent micropayments. Tom Schmidt candidly admitted that Dragonfly Capital's view on current AI and crypto technology projects is conservative, even pessimistic. He noted that most projects focus on decentralized inference and GPU resource sharing, but such ideas, which appeared early in projects like Golem, have always struggled to overcome the core challenge: "How to effectively schedule distributed computing power to complete high-performance AI model calculations?" If you consider how to actually train a cutting-edge AI model, you would not use a million consumer-grade GPUs scattered globally, but instead need a large, centralized, and high-performance A100 cluster. Schmidt emphasized that "computing is not monolithic". Different tasks require vastly different resource types, and decentralized networks struggle to uniformly schedule while simultaneously achieving "performance" and "stability". He warned the market that the current imagination of "Web3 resource-sharing AI" differs greatly from reality. Despite expressing skepticism about decentralized AI, Schmidt does not deny the potential combination of AI and crypto technologies. He mentioned that Dragonfly is more interested in applications combining blockchain's deterministic characteristics, especially "micropayments for AI agents". In these scenarios, stablecoins can provide programmable and instant micro-transaction capabilities, meeting AI applications' needs for determinacy and finality that traditional financial systems cannot achieve. As AI agents become more prevalent, they will need a payment system capable of handling extremely small amounts "as low as one cent or even less". He added that "traditional SaaS payment providers cannot meet this demand, and 'stablecoins' have a unique advantage in achieving this." Tom Schmidt's calm analysis injects a dose of sobriety into the heated AI and crypto convergence trend. He reminds the market not to pin all hopes on not-yet-feasible decentralized inference, but instead focus on blockchain applications that can truly create value. Among these, agent payments and stablecoin microtransactions might become the actual path for AI crypto implementation. Of course, he also welcomes other ideas, injecting more possibilities into this AI and crypto cross-experimental field to collectively promote its evolution. Risk Warning Cryptocurrency investments carry high risks, and prices may fluctuate dramatically. You may lose all your principal. Please carefully assess the risks.

NVIDIA's CEO Jensen Huang admitted in an interview on 5/29 Taiwan time that due to U.S. export restrictions, NVIDIA suffered a revenue loss of $8 billion in the Chinese market. However, driven by explosive demand for AI inference and the hot sales of Blackwell chips, the supply chain has been successfully upgraded. While supporting Trump's reindustrialization policy, he also called for the removal of chip export restrictions. Additionally, he discussed close collaboration with Elon Musk in autonomous systems and humanoid robots, potentially opening up a trillion-dollar business opportunity. Notably, Huang also revealed for the first time that Huawei's chip performance has almost caught up with H20 and announced plans to visit Europe to promote AI infrastructure cooperation and localization strategies.

Musk is a Key Partner, Optimus Robot Opens Up Trillion-Dollar Business Opportunities

When asked if Tesla is one of NVIDIA's largest customers, Jensen Huang did not hesitate to say:

"Musk is an important partner of NVIDIA, from self-driving cars to Grok and Optimus robots, NVIDIA will continue to be involved."

He also previewed that Optimus is likely to be one of the first robots that can be widely deployed in the real world, and the first robot with the potential for high-volume production and technological advancement, believing it could become a trillion-dollar business opportunity.

European AI Infrastructure Expands Comprehensively, Jensen Huang to Meet with European Heads of State

Finally, Jensen Huang revealed that he is about to meet with heads of state from France, the United Kingdom, Germany, and Belgium, mainly to discuss how to accelerate the expansion of national AI infrastructure. He stated:

"Every country has realized that AI is like electricity and the internet, a fundamental infrastructure for future society."

(NVIDIA's Financial Report Exceeds Expectations, Bit at 107K, Unsettled Contracts Not at New High)

Risk Warning

Cryptocurrency investment carries high risk, and prices may fluctuate dramatically. You may lose all your principal. Please carefully assess the risks.

After NVIDIA's latest financial report, the market's focus was not only on the report itself but also on the substantial impact of US-China technology policies on its operations. Although the second quarter revenue still reached around $45 billion (plus or minus 2%), approximately $8 billion of revenue related to the Chinese market and H20 chips was ultimately not realized. The outside world is concerned: How will NVIDIA successfully fill the gap from other international markets or product lines in the face of policy and geopolitical pressures, and even maintain a strong growth momentum?

NVIDIA CEO Jensen Huang accepted a Bloomberg interview, providing answers to key questions about the Chinese market competition, Huawei's technological gap, AI chip export controls, cooperation with Musk, US policies on immigration and technology exports, and the company's expansion plans in Europe. He briefly described NVIDIA's strategy for addressing various challenges while revealing NVIDIA's global AI strategic layout.

Chinese Market and H20 Chips

Jensen Huang pointed out that with the significant technological leap of local Chinese competitors, taking Huawei as an example, its latest AI chip performance is approaching the level of NVIDIA H200, and has launched the Cloud Matrix system with scalability, making the competitive landscape not to be underestimated. He candidly admitted that important customers like Tencent, Alibaba, and Baidu have largely turned to Huawei after being unable to obtain NVIDIA chips, which is driven by policy.

Jensen Huang's View on Trump's Policies

Regarding the US political environment and Trump's policies, he unexpectedly affirmed two of Trump's propositions: first, using tariff policies to promote manufacturing reshoring and reindustrialization, encouraging global investment in the United States; second, revoking the Advanced Chip Export Policy (Air Diffusion Rule) to allow the world to build upon US technology during the current AI explosion period. He described these two policies as having generational transformation potential.

Regarding external concerns about restrictions on international student and talent visas, Jensen Huang, drawing from his own immigration background, reiterated the contribution of immigrants and international talent to the US technology industry. He called for the United States to continue attracting top talents who can make significant contributions while maintaining national security, to maintain its leading position in the global technology field.

NVIDIA's Cooperation with Elon Musk

In terms of business cooperation, Jensen Huang stated that he has deep collaboration with Elon Musk and his company Tesla, covering areas such as AI model Grok, autonomous systems, and Optimus humanoid robots. He directly stated that Optimus could be the first general-purpose robot to achieve mass production and technological commercialization. He predicted that this would open up a new industrial revolution worth several trillion dollars.

Jensen Huang revealed that he is about to embark on a European tour, visiting leaders of France, the United Kingdom, Germany, and Belgium. He emphasized that countries generally view AI as a national infrastructure on par with electricity and the internet, and are actively collaborating with NVIDIA to promote the "AI Factory" layout, marking the entry of global AI investment into the infrastructure stage.

This interview revealed how Jensen Huang positions NVIDIA's role in the global AI landscape and clearly reflects the new world where geopolitics, industrial competition, and technology policies intersect.

Risk Warning

Cryptocurrency investment carries high risk, and prices may fluctuate dramatically. You may lose all your principal. Please carefully assess the risks.

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Disclaimer: The content above is only the author's opinion which does not represent any position of Followin, and is not intended as, and shall not be understood or construed as, investment advice from Followin.
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