Algorand如何推動現實世界中的資產（RWA）令牌化

在接受Algorand基金會首席技術官（CTO）CCN的採訪中，討論了區塊鏈對現實世界資產的方法

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基金會首席技術官（CTO）CCN的採訪中，討論了區塊鏈對現實世界資產令牌化的方法，其在量子抵抗方面的進展以及Algokit 3.0中的構件增強的開發人員經驗。

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.

伍茲從技術和以系統為導向的角度講話，強調了阿爾戈蘭如何將自己定位在區塊鏈空間中。他通過高聳的房地產，邁向監管一致性的步驟以及即將到來的集成（例如萬事達卡虛擬卡）觸及了諸如令牌化房地產的發展，允許算法持有人和Stakers將資產用於日常支出。這些示例展示了網絡如何在接近2025年的基礎架構和集中度。

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

Algorand如何推動現實世界中的資產（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.

對於樹林而言，對現實世界的資產是將區塊鏈帶入主流的關鍵步驟。他提到，儘管數字資產已經成熟，但傳統資產和數字資產之間的聯繫仍然不發達。

“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.

伍茲說：“我們尚未在一個可以拿起RWA並將其放入一個簡單的可部署軟件包中，可以在不同的連鎖店和服務中使用。這就是我們試圖縮小的差距。”

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

他補充說：“它的優點在於我們不需要編寫任何代碼即可完成。”

“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.”

“我們可以創建由代幣代表的RWA資產，所有這些工作都是在不編寫一行代碼的情況下完成的。因此，無代碼資產，這就是為什麼Algorand對不來自區塊鏈背景的企業非常易於使用。”

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

一個例子是Lofty，伍茲將其描述為“可能是阿爾戈蘭德（Algorand）的RWA令牌冠軍”。

“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.

伍茲解釋說：“ Lofty是一家率先在阿爾戈蘭（Algorand）率先進行的公司的公司，這是對房地產的構想，這是很長一段時間以來已經討論的事情，但尚未大規模實現。”

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，該平台具有“一些非常有價值的屬性”，並補充說：“不僅是在茫茫荒野中脫落，而且實際上有選擇。”

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.

伍茲說，可以代表現實世界中的資產（如財產上的鏈上）的能力（如崇高的鏈接）是“無需編寫一條代碼，”伍茲說。

“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.”

他解釋說：“我們可以創建由代幣代表的RWA資產，所有這些內容均在不編寫一行代碼的情況下完成。” “因此，無代碼的資產，這就是為什麼Algorand對不來自區塊鏈背景的企業非常容易獲得的原因。”

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

令牌RWA的用例：從房地產到區域指數

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.”

伍茲建議，令牌現實世界資產的吸引力超出了房地產的範圍，他解釋說：“包括農作物和其他類似的東西，包括許多不同的事情。”

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.”

他描述說，這些令牌資產可以廣泛應用，並解釋了“您如何將自己擁有的財產化，而不僅僅允許一個參與者出售給一個參與者，一個跳遠，而是允許在其他情況下將其交易或用作流動性，例如“貸款或保險和許多其他環境”和許多其他環境。”

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.

在談到未來的可能性時，伍茲補充說：“能夠使自己的房屋或一部分的房屋變化會多麼美妙，”並強調指出，一個人“可以購買加利福尼亞，您可以長加利福尼亞州和短期紐約”，想像著基於標記的房地產的索引模型。

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

對於RWAS的用戶，RWA趨勢指出了一個未來，無論您是投資者，房主還是尋求訪問新形式的金融公用事業形式的所有權變得更加靈活，可組合和可用

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

AI和母語如何塑造Algorand的智能合同開發

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.

隨著通過使用AI的使用，區塊鏈的開髮變得更加易於訪問，伍茲指出，AI工具開始塑造智能合同的書寫方式。 Algorand選擇支持Python和Typescript等廣泛使用的語言的選擇使開發人員更容易啟動，並為生成的AI模型提供協助。

“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.

伍茲說：“您本質上可以與今天的任何AI進行交談，它將為您提供在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.”

“與以太坊等生態系統不同，以太坊（以太坊）使用類似於流行語言但語法和結構有所不同的語言變體，我們支持實際的，本機的python和typeScript。”

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

這種方法降低了開發人員的進入障礙，並增強了與現有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.

阿爾戈蘭（Algorand）支持Python和TypeScript的決定是Algorand的戰略舉動，因為它提供了與世界上最廣泛使用的編程語言的兼容性。

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

為什麼Algorand在AI開發時代使用本地Python和TypeScript很重要

Woods touched on the rise of “vibe coding,”

伍茲觸及了“氛圍編碼”的興起