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a16z Crypto's Latest Article: Why Do We Need Prediction Markets?

Prediction markets allow people to trade on the outcome of future events. They function as markets that aggregate dispersed information into a price signal, which represents the collective probability of an event occurring. By creating assets that pay out only if a specific outcome happens, these markets enable participants to bet based on their knowledge and beliefs. These markets have historical precedents, like 16th-century papal selection bets, and modern foundations in economics and market design. They offer advantages over traditional forecasting tools like polls: they provide direct probability estimates, update in real-time, and incentivize participants with real financial stakes to contribute accurate information. This can lead to more informed predictions, even for highly specific questions—such as which AI model performs best on certain tasks—that aren't covered by traditional commodity or stock markets. However, prediction markets face challenges. Infrastructure is needed to verify outcomes and ensure transparent, auditable operations. Market design must encourage participation from diverse, informed individuals while mitigating issues like insider trading or manipulation attempts aimed at distorting public perception. Despite these hurdles, with proper design focusing on transparency and participation management, prediction markets have significant potential as a core tool for forecasting the future.

marsbit18 ч. назад

a16z Crypto's Latest Article: Why Do We Need Prediction Markets?

marsbit18 ч. назад

Pantera Partner: In the Age of Agents, Blockchain is the Inevitable Answer for AI

Summary: AI and blockchain are converging around four key pillars: payment settlement, identity systems, open systems, and resource aggregation, with commercial projects already emerging in each area. The two technologies are fundamentally complementary: AI enables infinite supply (content, agents), while blockchain establishes scarcity and verifiable ownership. AI agents generate content and services, and blockchain handles the verification and value settlement. A significant valuation mismatch exists, with leading AI companies historically overvalued compared to crypto assets, despite their deep underlying integration. The emergence of autonomous AI agents—which require assets, value transfer, and large-scale coordination—creates a need for a non-human-centric financial infrastructure. Blockchain, with its programmability, 24/7 access, and low-trust settlement, is the only suitable foundation. AI agents will not use traditional bank accounts or payment rails; they will transact using stablecoins and on-chain systems. Examples include OpenFX, which settles hundreds of billions in forex trades on-chain for AI agents, and Alchemy, a core development platform. For human identity verification in an age of AI-generated content, projects like World (Worldcoin) use blockchain-based biometric verification, while TransCrypts focuses on self-sovereign identity and verifiable credentials. The current divergence presents a unique investment opportunity. AI valuations are highly elevated, while crypto assets trade at a significant discount, even though the future smart agent economy will be built on blockchain infrastructure. The fusion of AI and blockchain is not a future trend but an ongoing reality, creating a prime environment for entrepreneurs in areas like agent-native finance, decentralized identity, and on-chain AI coordination.

marsbit19 ч. назад

Pantera Partner: In the Age of Agents, Blockchain is the Inevitable Answer for AI

marsbit19 ч. назад

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