# Finance İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Finance" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

The Time of Machines: When Agents Consume Stablecoins

"The Age of Machines: When Agents Consume Stablecoins" explores the convergence of AI and cryptocurrency, focusing on the emerging narrative of AI agents as economic actors. The author argues that while AI is rapidly advancing into production and consumption, crypto, particularly stablecoins, is struggling to find its role beyond financialization. The piece begins by reflecting on how AI-powered bots are evolving from nuisances to become autonomous economic entities, potentially even developing a "dislike" for humans. This shift creates a sense of desperation in the crypto community, which is now trying to prove its value to AI by promoting stablecoins as the preferred medium of exchange for agents. A core tension is highlighted: AI is mastering both production and the new "relations of production" by replacing human labor, while crypto remains confined to a narrow financial role. Previous attempts by crypto to capture AI use cases—through decentralized storage, compute, or GPU lending—have largely failed. The author warns that compliant, bank-issued stablecoins on networks like Canton could ultimately prevail over native crypto stablecoins. The emergence of payment protocols for machines, like Stripe's MPP, is noted, but these efforts are seen as integrating machines into the existing traditional financial system rather than creating a new crypto-native one. The crypto industry's strategy of selling stablecoins to AI based on technical merits like cheapness and speed is portrayed as a weak, last-resort effort. The article then pivots to a more promising path for crypto: leveraging volatility. The true potential lies in AI agent economy's ability to generate massive, 24/7 consumption that far surpasses human limits. This creates a new battlefield for crypto—not by providing utility to AI, but by creating speculative assets (Crypto Tokens) that capture the value and FOMO generated by the AI boom (AI Tokens). The ultimate goal should be converting the immense economic activity of AI agents into liquidity for crypto assets. The conclusion states that while Circle's vision of agents using stablecoins offers a story of infinite users to the market, crypto's real strength is its position as a financial laboratory on the frontier, thriving on ambiguity and speculation. The future of the convergence depends on crypto creating volatility and wealth effects from the stable foundation of agent-driven consumption, ultimately completing the cycle from AI Token back to Crypto Token.

marsbit11 saat önce

The Time of Machines: When Agents Consume Stablecoins

marsbit11 saat önce

OpenAI Bets on 'Robot Army': 23-Year-Old Prodigy Wins Favor from Sam Altman

While OpenAI adjusts its video strategy, Sam Altman is setting his sights on the more ambitious field of "multi-agent systems." According to The Wall Street Journal, OpenAI has secretly invested in Isara, an AI startup founded by 23-year-old researchers Eddie Zhang and Henry Gasztowtt. Despite being established only in June last year in San Francisco, Isara has already recruited over a dozen top researchers from Google, Meta, and OpenAI itself, forming a highly skilled technical team. Isara’s core vision is to develop a system that enables thousands of AI agents to collaborate efficiently. While individual AI assistants are powerful, they often struggle with large-scale industrial challenges such as biotech R&D or complex financial modeling. Isara aims to solve this by creating a framework where diverse AI agents can communicate, align goals, share data, and tackle interconnected problems—functioning like a coordinated "robot army." This multi-agent approach is seen as a critical step toward Artificial General Intelligence (AGI). OpenAI’s endorsement signals industry recognition of distributed intelligence. In biopharma, the system could simulate thousands of protein-folding pathways, with specialized agents identifying patterns. In finance, it could perform real-time stress tests using global market data. Led by young innovators, this shift suggests the next breakthrough in AI lies not in building larger models, but in enabling smarter collective intelligence.

marsbit03/26 02:32

OpenAI Bets on 'Robot Army': 23-Year-Old Prodigy Wins Favor from Sam Altman

marsbit03/26 02:32

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