# Thought İlgili Makaleler

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

Big Short Prototype: Trillion-Dollar AI Investment Started on the Wrong Path from the Beginning

Michael Burry draws a parallel between a 19th-century case study and modern AI development to argue that the current path of large language models (LLMs) is fundamentally flawed. He references an 1880 article from the Smithsonian about Melville Ballard, a deaf man who, without formal language, engaged in complex abstract reasoning about the origins of the universe, life, and God. This story demonstrates that true reasoning and understanding exist prior to and independent of language. Burry contends that by prioritizing language processing over the development of genuine reasoning capabilities, LLMs are merely creating sophisticated mirrors of data, not true understanding. They operate in an intermediate zone, simulating reasoning but lacking the innate rational capacity that precedes language. This "language-first" approach, driven by immense computational brute force, leads to inherent flaws like hallucinations and an inability to achieve real comprehension. The proposed solution is a shift towards a "reasoning-first" architecture, which would focus on compressing information and utilizing System 2 reasoning to drastically reduce computational needs. Burry suggests that true AI must pass a "Ballard Test": demonstrating rational thought without language. He concludes by linking this technological critique to a cyclical pattern of speculative investment booms, comparing the current AI hype to the 19th-century mining speculation in San Francisco, warning of an inevitable bust if the foundational approach isn't corrected.

marsbit03/02 06:57

Big Short Prototype: Trillion-Dollar AI Investment Started on the Wrong Path from the Beginning

marsbit03/02 06:57

Interview with ZetaChain Lead Jessie Zhang: Reclaiming Humanity's Right to Think Between Decentralization and AI

Interview with Jessie Zhang, Head of Incubation and Investment at ZetaChain, discussing the intersection of decentralization and AI, and the importance of reclaiming human cognitive sovereignty. ZetaChain, initially known for cross-chain interoperability, evolved in 2025 from building foundational infrastructure to focusing on real-world applications, connecting major blockchains like Bitcoin, Ethereum, and Solana. The team began exploring how blockchain could address growing concerns around AI, particularly data privacy and centralized control. Jessie highlights the risks of AI-driven "cognitive centralization," where user data—including intentions, emotions, and preferences—is concentrated in few platforms, threatening individual autonomy. Examples like OpenAI retaining deleted user chats and past incidents of algorithmic manipulation (e.g., Facebook influencing elections) underscore the urgency. ZetaChain’s response is Anuma, a private AI platform built as a "personal memory layer." Anuma acts as a privacy-first AI管家 (butler) that manages user data locally, allowing interaction with models like ChatGPT or Claude without surrendering personal information. It ensures data sovereignty, prevents context fragmentation across AI tools, and safeguards independent thinking. Jessie emphasizes that privacy is an architectural imperative, not just a feature, and that blockchain’s trustless, ownership-based model is critical for AI ethics. Anuma, while built on ZetaChain, targets mainstream users with seamless Web2-like体验, reflecting ZetaChain’s vision: invisible infrastructure delivering tangible value. The core message: AI should enhance human capability without compromising cognitive autonomy. In an era of intelligent systems, preserving the right to think independently is both a technological and moral necessity.

marsbit02/06 05:53

Interview with ZetaChain Lead Jessie Zhang: Reclaiming Humanity's Right to Think Between Decentralization and AI

marsbit02/06 05:53

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