2026-06-05 Sexta

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Dragonfly Partner: Most Agents Will Not Conduct Autonomous Transactions, How Will Crypto Payments Win?

Dragonfly partner Robbie Petersen argues that the prevailing narrative about AI agents driving massive adoption of crypto payments is flawed. He contends that most agents—whether enterprise or consumer-facing—will not engage in autonomous transactions. Enterprise agents, which will constitute the majority of agent deployments, are an evolution of SaaS and will operate within closed organizational structures. They automate internal tasks (e.g., sales, accounting, legal review) without spending autonomously. Costs for API calls or data are abstracted into bulk, pre-negotiated invoices from platform providers, not paid per transaction. Consumer agents will act more as research assistants than independent economic actors. While they will excel at coordination and discovery (e.g., finding travel options), humans will retain final decision-making and payment authorization for all but the most repetitive purchases due to the qualitative, situational nature of consumer choice. Petersen identifies a narrow third category where crypto could win: permissionless, bottom-up agents (e.g., those inspired by OpenClaw) that operate truly autonomously and require high-frequency, granular payments. For these, blockchain's key advantage is not just technical efficiency but its open, permissionless nature, allowing experimental development without regulatory hurdles. However, he concludes that the larger bottleneck to a full autonomous agent economy is not payment infrastructure but human-centric legal, regulatory, and social frameworks.

marsbit03/24 05:02

Dragonfly Partner: Most Agents Will Not Conduct Autonomous Transactions, How Will Crypto Payments Win?

marsbit03/24 05:02

US AI Startups Are All Using Chinese Large Models | Rewire Morning News

U.S. AI Startup Reliance on Chinese Models & Key Tech Updates NVIDIA CEO Jensen Huang declared on a podcast that AGI has been achieved, citing open-source platforms like OpenClaw as evidence, while simultaneously defending AI-generated content against criticism. A U.S.-China security review report revealed that about 80% of American AI startups are using Chinese open-source models from companies like Alibaba, Moonshot AI, and MiniMax, which dominate global rankings. This dependency is seen as a self-reinforcing competitive advantage for China. In a specific case, the $29.3 billion coding tool Cursor was found to be using Moonshot's Kimi model without disclosure. Meanwhile, the Pentagon labeled Anthropic a "supply chain risk," drawing political criticism. In energy, the IEA warned the Iran crisis has caused a larger daily oil supply loss than the 1970s shocks, with Russia benefiting as oil prices surge. BlackRock's CEO warned AI will worsen wealth inequality and proposed a government retirement fund and tokenization to broaden market access, aligning with the firm's business interests. Sam Altman stepped down as chairman of Helion Energy to avoid a conflict of interest as OpenAI negotiates a power purchase agreement for fusion energy, a highly ambitious bet given fusion is not yet commercialized. Other notable updates: Trump established a fund to reduce foreign chip reliance; prediction market CEOs invested in a new VC fund despite regulatory challenges; Luma AI released a leading image model; Apple announced AI-focused WWDC 2026; and MicroStrategy continued aggressive Bitcoin purchases.

marsbit03/24 04:41

US AI Startups Are All Using Chinese Large Models | Rewire Morning News

marsbit03/24 04:41

The Narrative of Gold's Rise is Becoming Harder to Sustain

The article argues that the narrative supporting gold's price surge is weakening, leaving only a fraction of its original justification. Historically, gold's primary drivers were its role as a safe-haven asset during crises (like the 2000 dot-com bubble and 2008 financial crisis) and as a hedge against inflation (e.g., during the Fed's QE periods). However, the author contends these core logics are now eroding. First, gold's safe-haven属性 is diminishing as its price action has recently become correlated with speculative assets like Bitcoin and US stocks, moving in sync with them on news like Trump's comments. This suggests投机属性 may be overshadowing its traditional避险 role. Second, the inflation hedge argument is weakening. The Federal Reserve's projected minimal rate cuts through 2026 suggest a stronger dollar and reduced expectations for significant USD depreciation. Similarly, the Japanese Yen's贬值 expectations are also easing. The author identifies only "0.5" reasons left for gold's rise: continued purchases by China's central bank. While China has been a consistent buyer, its purchasing speed has drastically slowed from a peak of nearly 600,000 ounces per month to a recent average of just 30,000 ounces. This minimal volume is deemed too small to significantly impact the global gold market, especially compared to London's daily clearing volume of over 18 million ounces. Furthermore, a technical divergence exists: gold prices accelerated upward in late 2024 even as China's buying slowed. The article concludes that with its避险属性 potentially exhausted, inflation expectations subdued, and China's buying influence limited, the current gold price appears to have overshot its fundamental supports. The author advises against high expectations for further sustained gains barring an extreme black-swan event.

比推03/24 04:21

The Narrative of Gold's Rise is Becoming Harder to Sustain

比推03/24 04:21

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