Bitroot 執行長 Juan Jose：打造機器經濟的平行 AI 區塊鏈

0:00機器經濟的下一波用戶

0:00大家好，很高興認識大家。我是 Juan Jose，Bitroot 的執行長。今天我想先問大家一個簡單的問題：你覺得區塊鏈的下一個十億用戶會是誰？很可能，不是人類。如果你仔細想想，人類當然是經濟的一部分，但現在有一個全新的經濟體正在發展，那就是專為機器打造的經濟——我們稱之為機器經濟。Hi everyone, nice to meet you. I'm Juan Jose. I'm CEO of Bitroot. Well, I want to start with one simple question. Who do you think is going to be the next billion users of blockchain? Probably not humans. Well, if you think about it, humans are part of the economy, right? But there is an economy that is under development right now that is only being built for machines, and that's what we call the machine economy.

0:38基本上，就是機器跟機器之間自己做生意。這也是為什麼 AI agent 開始崛起。現在他們已經產生了非常大的交易量，但他們需要一個能夠承載這些龐大負載的基礎設施。Basically, machines doing business with other machines. And that's why AI agents are taking over. They are turning up a very big volume right now, but they need an infrastructure that is being capable of supporting all this load.

1:04Bitroot：AI 原生平行區塊鏈

1:04所以我今天要介紹 Bitroot。Bitroot 是一條平行 EVM 區塊鏈，原生支援 AI。這是一條專為機器經濟設計的 L1 區塊鏈。你可以看到，全球 AI 市場正在快速成長。到 2030 年，這個市場預估會有 7.5 兆美元。即使我們只吃到 1% 的市場，區塊鏈的交易量也會非常驚人。So I present you Bitroot. Bitroot is a parallel EVM blockchain. It's AI native. L1 blockchain designed to support the machine economy. Okay, we have some charts here. There is a very big market on their way. The global AI market is getting big and bigger. For 2030, you can calculate that. There is an estimated 7.5 trillion dollars on this market. Even if we capture just 1% of it, the turnover of the blockchain could be very massive.

1:50但現在有一個信任危機。機器跟機器之間做生意，也會出錯。這些交易沒辦法被驗證或結算。你可以自動化、讓機器彼此協作、寫程式自動執行，但你能信任它嗎？這就是為什麼他們需要區塊鏈。But there is right now a trust crisis. There's a trust crisis because machines doing business with other machines. They can also make mistakes. So there is no way to verify those transactions and get a settlement of those transactions. So you can just automate. You can let the machines work with other machines. You can program it. You can automate it, but you cannot trust it. Can you trust it right now? That's why they need blockchain.

2:30AI 執行層與平行架構

2:30Bitroot 是結合區塊鏈與 AI 世界的完美組合。你會發現，近年來安全事件大幅增加。我們針對這個問題提出了解決方案，就是我們所謂的 AI 執行層。我們讓 AI 能夠透過 Avalanche 執行這些交易。Bitroot is the perfect combination that merges the blockchain world with the AI world. You can see that there has been a surge in the security incidents since the last recent years. So. We solve. We just made a solution for this. That's what we call the layer for execution for AI. We gave the AI the possibility to execute those transactions using Avalanche.

3:05這個 AI 執行層，就是我們為了解決『不可能三角』問題所設計的。Bitroot 採用平行架構與原生 AI，突破了這個難題。雖然技術細節很複雜，但我不想講太技術面，只要記住一個重點：機器之間需要彼此交易。Okay, so I've explained the trust AI execution layer. It is just something that we overcome for the problem that comes from the impossible triangle. It is that there is a parallel architecture and a native AI that unlocks the impossible triangle problem. Here is a complex diagram that covers the technology behind our blockchain, but... I don't want to be very technical about this. I would just want you to grab the simple idea, and it is that machines need to transact with other machines.

3:46機器的身份、支付與自動化

3:46這些機器會需要一些特殊功能，比如身份認證。當機器彼此溝通時，必須能夠辨識對方。還有，他們需要一種方式來支付服務費。舉例來說，凌晨三點你在睡覺，有一台機器決定需要 GPU 或算力，它會自己搜尋服務、自己決定並付款，完全不需要人類介入。They will need some special features. They will need to have the identity. They will need to identify themselves when they speak and talk with other machines. They will need a way to pay for the services. For example, you are just sleeping at 3 a.m. and some machine decides that it needs GPU or computing power. The machine itself takes the decision, search for the service, and pays for it by himself. All that without human intervention.

4:20這一切都不是照人類的時間或速度運作，而是比人類快上千倍。你可以用白皮書來比較傳統區塊鏈和 Bitroot。我們在處理效能、確認速度、AI 原生支援等多個面向都有更好的表現。我們也支援 EVM，相容 Ethereum，開發者可以直接部署。But that doesn't happen at human time. That doesn't happen at human speed. That happens at thousands of seconds faster than a human can do it. So whitepaper is the better choice. You can compare with traditional blockchains. You can also have our metrics. You can take a look, and you will find that we are, we have a better performance on many other fields, like the processing performance, the confirmation speed, the AI native support. We are EVM compatible, so Ethereum developers can actually deploy their developments on our blockchain.

5:16去中心化算力與產業新典範

5:16產業裡有一個很大的問題，就是算力壟斷。這會阻礙創新，因為成本太高。我們提供去中心化運算網路，讓用戶可以加入，把全球閒置的 GPU 算力釋放出來出租，提供服務。這不只是省錢，更是一種產業典範的轉變。Well, here comes something very interesting, and it is that there is like a problem in the industry on computation. The computation monopoly, it's quite an issue because it doesn't... The innovative process to take over. Why? Because of the cost. So we bring the possibility to deploy a decentralized computing network, so users can join the network, the decentralized network, and take part of the... Give usage to the global idle GPUs that are not being used. And they actually can rent it. They can provide a service for this. So it's just, this is just more than saving money. This is a paradigm shift.

6:19這個市場的引爆點是，只要吃到 1% 市佔，就能帶來巨大的收入。接下來我簡單介紹一下我們的發展進度。目前 Bitroot 已經處理超過 350 萬筆交易，測試網上有超過 30 萬個活躍地址。The trigger point for this big market is that at least just 1% of this market can bring a very big revenue for this technology. Okay, so I will give some details about our roadmap. Currently, Bitroot has processed more than three and a half million transactions. There are more than 300,000 active addresses already on testnet, and we already reached that.

6:57效能目標與機器自理交易

6:57我們在測試網已經達到 44,000 TPS，主網目標是 100,000 TPS。我知道這很有野心，但這不只是速度的問題。機器需要速度，也需要身份認證、驗證、自己付款、自己結算等功能。我們有速度、有功能，也有完整的產品系統，讓機器之間可以自動交易，這一切都會在 Bellbridge 上實現。We already reached 44,000 TPS on testnet, and we hope to reach a hundred thousand TPS on mainnet. I know that's an ambitious goal. That's an ambitious goal, but it's not just about speed. Machines need speed, and they need other features. As I told you, they need a way to identify themselves, to verify themselves, to pay by themselves, and to settle transactions by themselves. So we have the speed, we have the features. We have the products that are the systems that they will need to transact with other machines, and all this will be happen on Bellbridge.

7:39我們有一個很大的團隊在努力，包括我自己。目前已經有超過 90 個合作夥伴和生態系夥伴在測試網上參與，他們都在主網上線前試用我們的基礎設施。There is a big team working on this, that's me included. We are, we are. Trying to build a very big ecosystem. There is more than 90 partners and ecosystem partners already working with our testnet, so they are trying our infrastructure before it goes mainnet.

8:00歷史不會重演，但總是押韻

8:00最後我想用一句話作結：歷史不會重演，但總是押韻。很多專案的起步、發展、階段都很類似。你可以拿 Solana 來比較，他們也是這樣開始的，現在已經走了很長一段路。我們相信這個市場和這個專案都有很光明的未來。Well, I want to close with an idea, is that history doesn't repeat itself, but it often rhymes. There are some similarities on how projects start, how they end up, how they have different stages. I want you to just make a quick comparison, for example, with Solana. They started just like us, and they have come a very long road. So... We think that there is a very promising future for this market and for this project, and it's going to be a very good projection for it.

8:43機器信任區塊鏈，基礎設施應該隱形

8:43我想讓大家理解一個觀念：當你用手機傳訊息時，你根本不會去管背後的服務、路由、IP 或 TCP 協議，你只是在用它。這代表基礎設施應該是隱形的。我們的目標，就是讓機器能信任區塊鏈，不需要懂，只要能用、能信任就好。Okay, just I want you to grasp the idea. When you send messages through your phone. You don't really know about the service, routing the messages, about the IP or TCP protocols. You just use it. So this makes, like, the infrastructure behind it is quite invisible. And that's our goal. We hope the machines can trust the blockchain. They don't need to understand it. They just need to trust it and be capable of using it.

9:20一旦這個目標達成，我相信會有全球性的廣泛應用。歡迎大家加入 Bitroot，不管是部署系統、開發、還是成為社群一份子，一起打造智慧未來。今天分享到這裡，謝謝大家的聆聽！So once this point is reached, I think there's going to be a very wide, worldwide usage. So I'd invite you, to all of you, to join hands with Bitroot. To deploy your systems, you can develop, you can be part of the community, you can be part of Bitroot. We try to build an intelligent future. Well, I think that's all for today. I appreciate your attention. Thank you so much.