Algorand如何推动现实世界中的资产（RWA）令牌化

在接受Algorand基金会首席技术官（CTO）CCN的采访中，讨论了区块链对现实世界资产的方法

In a recent interview with CCN, John Woods, Chief Technology Officer (CTO) at the Algorand Foundation, discussed the blockchain’s approach to real-world asset tokenization, its progress on quantum resistance, and the enhanced developer experience enabled by the building blocks in AlgoKit 3.0.

在最近接受Algorand基金会首席技术官（CTO）CCN的采访中，讨论了区块链对现实世界资产令牌化的方法，其在量子抵抗方面的进展以及Algokit 3.0中的构件增强的开发人员经验。

Speaking from a technical and systems-oriented perspective, Woods highlighted how Algorand is positioning itself in the blockchain space. He touched upon developments like tokenized real estate via Lofty, steps toward regulatory alignment, and upcoming integrations such as MasterCard virtual cards — allowing ALGO holders and stakers to spend assets on daily expenses. These examples showcase how the network is evolving its infrastructure and focus as it approaches 2025.

伍兹从技术和以系统为导向的角度讲话，强调了阿尔戈兰如何将自己定位在区块链空间中。他通过高耸的房地产，迈向监管一致性的步骤以及即将到来的集成（例如万事达卡虚拟卡）触及了诸如令牌化房地产的发展，允许算法持有人和Stakers将资产用于日常支出。这些示例展示了网络如何在接近2025年的基础架构和集中度。

How Algorand is Driving Real-World Asset (RWA) Tokenization

Algorand如何推动现实世界中的资产（RWA）令牌化

For Woods, tokenizing real-world assets is a key step in bringing blockchain into the mainstream. He mentioned that while digital assets have matured, the connection between traditional and digital assets remains underdeveloped.

对于树林而言，对现实世界的资产是将区块链带入主流的关键步骤。他提到，尽管数字资产已经成熟，但传统资产和数字资产之间的联系仍然不发达。

“We’re not yet at a place where we can take an RWA and put it in a simple, deployable package that can be used across different chains and services. That’s the gap we’re trying to close,” said Woods, highlighting Algorand’s focus on bringing real-world assets like real estate and financial products on-chain.

伍兹说：“我们尚未在一个可以拿起RWA并将其放入一个简单的可部署软件包中，可以在不同的连锁店和服务中使用。这就是我们试图缩小的差距。”

“The beauty of it is that we don’t need to write any code to do it,” he added.

他补充说：“它的优点在于我们不需要编写任何代码即可完成。”

“We can create RWA assets represented by tokens, and all of that stuff is done without writing a single line of code. So no-code assets, and that’s why Algorand is very accessible to businesses that don’t come from a blockchain background.”

“我们可以创建由代币代表的RWA资产，所有这些工作都是在不编写一行代码的情况下完成的。因此，无代码资产，这就是为什么Algorand对不来自区块链背景的企业非常易于使用。”

One example is Lofty, which Woods described as “probably the crown jewel of RWA tokenization on Algorand.”

一个例子是Lofty，伍兹将其描述为“可能是阿尔戈兰德（Algorand）的RWA令牌冠军”。

“Lofty is a firm that has pioneered on Algorand the idea of tokenizing real estate, which is something that’s been discussed for a long time but not yet realized on a large scale,” explained Woods.

伍兹解释说：“ Lofty是一家率先在阿尔戈兰（Algorand）率先进行的公司的公司，这是对房地产的构想，这是很长一段时间以来已经讨论的事情，但尚未大规模实现。”

The platform features “some hugely valuable properties,” he noted, adding that “it’s not just some shed in the middle of nowhere, there’s actually choice.”

他指出，该平台具有“一些非常有价值的属性”，并补充说：“不仅是在茫茫荒野中脱落，而且实际上有选择。”

The ability to represent real-world assets like property on-chain — as seen with Lofty — is possible “without writing a single line of code,” said Woods.

伍兹说，可以代表现实世界中的资产（如财产上的链上）的能力（如崇高的链接）是“无需编写一条代码，”伍兹说。

“We can create RWA assets represented by tokens, and all of that stuff is done without writing a single line of code,” he explained. “So no-code assets, and that’s why Algorand is very accessible to businesses that don’t come from a blockchain background.”

他解释说：“我们可以创建由代币代表的RWA资产，所有这些内容均在不编写一行代码的情况下完成。” “因此，无代码的资产，这就是为什么Algorand对不来自区块链背景的企业非常容易获得的原因。”

Use Cases for Tokenized RWAs: From Real Estate to Regional Indexes

令牌RWA的用例：从房地产到区域指数

The appeal of tokenized real-world assets extends beyond real estate, suggested Woods, who explained that “there’s a number of different things that are ongoing, including crops and other things like that.”

伍兹建议，令牌现实世界资产的吸引力超出了房地产的范围，他解释说：“包括农作物和其他类似的东西，包括许多不同的事情。”

These tokenized assets could be applied broadly, he described, explaining how “you can tokenize property that you own and allow that not just to be sold to, say, one participant, one hop away, but allow it to be traded or used as liquidity in other contexts” such as “loans or insurance and many other contexts.”

他描述说，这些令牌资产可以广泛应用，并解释了“您如何将自己拥有的财产化，而不仅仅允许一个参与者出售给一个参与者，一个跳远，而是允许在其他情况下将其交易或用作流动性，例如“贷款或保险和许多其他环境”和许多其他环境。”

Speaking on future possibilities, Woods added, “How wonderful would it be to be able to tokenize one’s own home or a percentage of it,” and highlighted that one “could buy California, you could long California and short New York,” imagining an index model based on tokenized real estate.

在谈到未来的可能性时，伍兹补充说：“能够使自己的房屋或一部分的房屋变化会多么美妙，”并强调指出，一个人“可以购买加利福尼亚，您可以长加利福尼亚州和短期纽约”，想象着基于标记的房地产的索引模型。

For users of RWAs, an RWA trend points to a future where ownership becomes more flexible, composable, and usable whether you’re an investor, a homeowner, or someone looking to access new forms of financial utility

对于RWAS的用户，RWA趋势指出了一个未来，无论您是投资者，房主还是寻求访问新形式的金融公用事业形式的所有权变得更加灵活，可组合和可用

How AI and Native Languages Are Shaping Smart Contract Development on Algorand

AI和母语如何塑造Algorand的智能合同开发

As blockchain development becomes more accessible through the use of AI, Woods noted that AI tools are beginning to shape how smart contracts are written. Algorand’s choice to support widely used languages like Python and TypeScript makes it easier for developers to get started and for generative AI models to assist.

随着通过使用AI的使用，区块链的开发变得更加易于访问，伍兹指出，AI工具开始塑造智能合同的书写方式。 Algorand选择支持Python和Typescript等广泛使用的语言的选择使开发人员更容易启动，并为生成的AI模型提供协助。

“You can essentially talk to any AI today, and it will give you answers that are good in the context of an Algorand smart contract,” said Woods.

伍兹说：“您本质上可以与今天的任何AI进行交谈，它将为您提供在Algorand智能合同背景下的答案。”

“Unlike ecosystems such as Ethereum, which use language variants like Vyper or Solidity that resemble popular languages but differ in syntax and structure, we support actual, native Python and TypeScript.”

“与以太坊等生态系统不同，以太坊（以太坊）使用类似于流行语言但语法和结构有所不同的语言变体，我们支持实际的，本机的python和typeScript。”

This approach reduces the entry barrier for developers and enhances compatibility with existing AI tools.

这种方法降低了开发人员的进入障碍，并增强了与现有AI工具的兼容性。

Algorand’s decision to support Python and TypeScript was a strategic move by Algorand, as it offers compatibility with the world’s most widely used programming languages.

阿尔戈兰（Algorand）支持Python和TypeScript的决定是Algorand的战略举动，因为它提供了与世界上最广泛使用的编程语言的兼容性。

Why Algorand’s Use of Native Python and TypeScript Matters in the Age of AI Development

为什么Algorand在AI开发时代使用本地Python和TypeScript很重要

Woods touched on the rise of “vibe coding,”

伍兹触及了“氛围编码”的兴起