Cardano(ADA)创始人Charles Hoskinson谈区块链中的人工智能用例

币界网Pubblicato 2024-08-15Pubblicato ultima volta 2024-08-15

币界网报道:

在过去几年中,人工智能无疑是加密货币行业(以及远远超出加密货币行业)最热门的话题之一。

随着致力于进一步改进和开发各种基于人工智能的工具和程序的公司的出现,许多加密项目也在其协议中集成了新技术。

在我们对这个问题的深入研究中,你可以看看一些顶级的人工智能密码。

Cardano创始人Charles Hoskinson最近参加了8月12日至14日在拉斯维加斯举行的Ai4会议,该会议专注于人工智能。他发表了主题演讲,解决了区块链和人工智能融合的一些挑战。

利用区块链的人工智能

IOHK首席技术官Romain Pellerin总结了他的主题演讲。

Hoskinson表示,人工智能能够利用基于区块链的技术作为信任和激励层,试图为数据、推理和模型建立去中心化的市场。

他概述了区块链在人工智能中的作用可以“彻底改变数据管理,激励共享,并为计算和推理创造去中心化的市场。”

此外,Cardano的创始人概述了代币化和激励措施可能为人工智能对海量数据和计算能力的依赖提供解决方案。

挑战是什么?

尽管这位高管发现了很多交叉点,但他也指出,未来还有很多挑战。

区块链和人工智能之间的根本区别,如隐私问题、资源稀缺和确定性,造成了不兼容性。协调仍然是关键,但合并这些系统可能很困难。

此外,他说,人工智能解决方案开发中的隐私仍然是一个关键问题,但完全全纯加密(FHE)可能会在不损害隐私的情况下实现私人智能合约和安全的数据共享。

集成人工智能和区块链受到技术不兼容和先发问题的阻碍,但可以出现互补的解决方案来应对这些挑战霍斯金森说。

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Tidal Investments remains optimistic about the AI industry chain, but the rationale has shifted. The market is concerned about massive concurrent fundraising by tech giants like SpaceX, OpenAI, Alphabet, and Meta, fearing an AI peak. However, the authors argue this signals the next act of AI development, not its end. Capital expenditure (Capex) from major cloud providers (Alphabet, Amazon, Meta, Microsoft, Oracle) continues to surge aggressively into 2026. This investment cycle is more resilient than past hardware cycles due to its scale and complexity. Bottlenecks have shifted from chips to critical physical infrastructure like power grids, transformers, cooling, and data center construction—areas with long lead times and limited capacity for rapid expansion. Supply chain data (e.g., Eaton's orders) confirms substantial, tangible progress. Key market concerns are addressed: 1. **ROI vs. Capex Growth**: While Capex growth outpaces revenue, the authors note cloud giants have historically overcome similar phases through scale. The cycle will only be in danger if Capex guidance is cut, orders are canceled, or AI product demand falters—none of which are currently observed. 2. **Comparison to the 2000 Dot-com Bubble**: Unlike the telecom bubble, where cheap, oversupplied fiber crashed prices, AI infrastructure (especially power) is constrained, customized, and subject to lengthy approvals, making a similar supply glut and crash unlikely. In conclusion, the wave of fundraising reflects the immense, ongoing capital needs for AI's next phase, constrained by slow-moving physical bottlenecks. The AI cycle is not over; the script has simply changed.

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