Written by: Deep Tide TechFlow
In the rush to issue an AI meme in seconds, as the first AI-driven value discovery engine in the Crypto industry, TrueNorth is undoubtedly special.
Leveraging the important opportunity of TrueNorth's internal testing, Deep Tide TechFlow engaged in an in-depth dialogue with TrueNorth's co-founders, Willy and Alex.
'TrueNorth is at the forefront of generative UI/UX, capable of dynamically adjusting UI/UX in real-time based on users' investment preferences. Meanwhile, our Agent search can now achieve a delay of under 10 seconds across multiple data sources, and after optimization, it can provide user-level feedback within a few seconds. Currently, there should be no Crypto application capable of doing this,' Alex mentioned.
At the same time, TrueNorth captures the core demands of Crypto users. Regarding the uniqueness of Crypto AI, the two founders believe:
On one hand, looking at the distance between user intent and the final goal, Crypto is the farthest, but AI can significantly shorten this distance. On the other hand, Crypto is closely tied to money, and user demands are very direct: to make more money or to lose less. In simple terms, Crypto AI addresses more focused problems and has better practical capabilities.
Through this in-depth analysis from both Web2 and Web3 perspectives, on how to quickly help users build awareness of TrueNorth, Willy shared:
Crypto is an adventurous journey, and TrueNorth hopes to guide everyone like a compass, helping them find the best outcomes through the noise of the industry.
In this episode, let us follow the perspectives of Willy and Alex to explore the current intense competition in Crypto AI, TrueNorth's unique positioning, core technical advantages, and future product iteration paths.
AI can address the most painful points in Crypto.
Deep Tide TechFlow: I am glad to have the opportunity to engage in an in-depth conversation with you. First, could you please introduce yourselves?
Willy:
Hello everyone, I am Willy, co-founder of TrueNorth.
From mid-2022 to the end of 2024, I worked at WOO, a centralized exchange with a decentralized trading platform called WOOFi. I initially served as COO and later became Acting CEO. During my tenure, I led the company's expansion in Europe, Southeast Asia, and South Korea, with business scale multiplying. I was mainly responsible for the overall strategy of the company, including business development, legal compliance, and, more importantly, the construction of the WOO ecosystem, overseeing the establishment of the WOO ecosystem, DeFi business development, cross-chain integration (including EVM chains, Solana, and 14 other chains), and WOO Token Listing. This was my first journey in the Crypto world.
Before joining Crypto, I was a Web2 founder. From 2015 to 2021, during the peak of the internet SaaS era, I founded a SaaS company focused on CRM URP business. At that time, the company had nearly 200 employees, and we raised funds from angel rounds to Series B, with major investors including Shunwei Capital founded by Lei Jun. In 2021, I chose to exit and began exploring Crypto.
Alex:
Hello everyone, I am Alex, co-founder of TrueNorth.
I have an AI-related background, having studied for my PhD at the University of Michigan, focusing on AI eigendomain specific computers. Previously, I was a researcher at Intel Labs, focusing on research related to machine learning acceleration.
In my second year of PhD studies, I first ventured into entrepreneurship by joining an AI chip company, TianShuZhiXin, where I mainly handled software and hardware system-related technical aspects and led North American R&D.
After completing my PhD, I returned to Shanghai around 2020 to join McKinsey, where my main clients included semiconductor, cloud service providers, AI unmanned retail, gaming, etc. I was exposed to a wide range of industries and was mainly responsible for the Go-to-Market strategy for products and the implementation of some new business models.
Later, I went to Singapore's sovereign fund, Temasek, where I was mainly responsible for technology investments in Greater China and the Asia-Pacific region, covering areas including AI, semiconductors, and Crypto, mainly engaging in primary market direct investments, secondary markets, and some founder funds.
After working at Temasek for two years, I joined a portfolio company, Inspur Technology, which is currently the largest AI chip company in China, with a post-investment valuation of around 20 billion. I am responsible for the entire product, strategy, and capital markets-related business, mainly including the fourth-generation GPU. We have also built the largest data center in western China. In terms of capital markets, I also help the company with listing; last year I worked on listing-related matters, hoping to complete the Sci-Tech Innovation Board listing this year.
I met Willy during my time at Temasek. Since I have always been in the AI field, I saw the potential of combining Crypto and AI after the rise of Agentic AI, and I immediately resonated with Willy.
Deep Tide TechFlow: Both of you have quite rich experiences in Web2 and have firmly chosen the Crypto + AI track. Could you please share what you think is the most attractive aspect of this track?
Willy:
When I first entered Crypto from Web2, my biggest feeling was: Web2 flattened information, so Web3 should flatten money. This 'flattening' means that everyone can more easily access the benefits that technology brings to users and society. Based on this foundation, I began to think that if we could combine Crypto and AI, we could do many very different things.
Balaji Srinivasan, former CTO of Coinbase, wrote a book called (The Network State), which has given me a lot of inspiration: From a macro perspective, for example, the China-US rivalry will accelerate the formation of cultural circles. This cultural circle does not exist in the form of countries, but is based on networks, where everyone's digital identity and assets exist in a decentralized manner.
I am excited about this vision, which is why I entered Crypto. However, over the past three years, I believe the progress in Crypto adoption has been slow, and there are many reasons for this phenomenon, such as user experience, compliance issues, etc. Although there have been some technologies developed well during this period, such as chain abstraction and AA wallets, users still lack a good entry point into Web3 and the advantages that Crypto brings. It wasn't until early last year when I chatted with Alex and saw the important role AI could play in this area, and I thought it was a huge opportunity, which led to TrueNorth.
Alex:
I would like to add that when I was working in Web2, I observed many SaaS companies. Many ToB-related businesses landed in AI, and I recognized early on the wave of AI, especially the rise of Agentic AI, which would dramatically change the interaction interfaces or habits of users.
In fact, several phenomena exist in Web2, including the trend of SaaS providers aiming to offer highly standardized products to scale up and reduce costs. However, standardized products do not adapt well to diverse needs, especially in complex scenarios, as complex scenarios often require high customization.
Until the emergence of Agents, which can significantly shorten the distance between a person's intent and the final goal, enhancing user experience. This distance has already shortened in Web2, such as in very vertical fields like law and medicine, where changes in the interaction between users and AI have occurred. A year before Agents entered mainstream view, I noticed this change. I believe this change is no less impactful than the Mobile Revolution, like the new UX/UI impact created by the first version of the iPhone's smart multi-touch screen.
An Agent is a paradigm shift. The imagination that OpenAI brings to users might be chatting with an Agent, whereas many current Agents pursue the ability to proactively output based on user preferences, informing users of what they should pay attention to. This was an important new assumption when we envisioned the Agent revolution.
As for why Web3, it's because we believe that in all user journeys, the distance between user intent and the final goal is the farthest in Crypto. In simple terms, it has the most friction. For instance, in Crypto, it is the decentralized infrastructure that defines user experience, rather than user experience defining infrastructure in reverse.
Based on this, we believe that Agentic Technology can effectively address the most painful points in Crypto, better helping users acquire Alpha, financial opportunities, etc. As Willy mentioned, the combination of AI and Crypto can equalize information and opportunities to better serve personalized needs, leveling the entry barrier for DeFi. We hope to combine AI with Crypto to better address the pain points of the Crypto community or enhance the experience for more users entering Crypto in the future.
Crypto AI is closer to money and has better practical capabilities.
Deep Tide TechFlow: The narrative of Crypto + AI is heating up, but many Web2 AI practitioners still have some doubts about the development of Web3 AI, whether in terms of AI development abilities or products. How do you view these perspectives? What do you think is the core value of Web3 AI?
Alex:
I will first answer the first question: Why is Crypto AI different from others?
In my view, Crypto is an industry closely tied to money because all transactions in Crypto occur on a transparent, public, and decentralized ledger. In other words, to some extent, as long as you dig deep enough, all secrets can be laid bare in the sunlight. I think this is the biggest difference between Crypto and traditional finance; it's just that there weren't many participants in Crypto before, so not much information was dug up and made public.
Based on this perspective, as more people enter Crypto and start to analyze this data, you will find: since a large amount of on-chain data is a public fact, how can we process this data in a more real-time and transparent manner and present this information inclusively, helping more people establish a clearer understanding of Crypto?
On the other hand, precisely because Crypto is closely tied to money, from the AI perspective, user intent is more direct, resulting in fewer forks in the process of helping users achieve their final goals.
For instance, when you ask a search engine a question, your thought process is very divergent. You might ask about the weather, food, etc. The pathways between your question and intent have many different routes. However, in Crypto, users' questions are simple and straightforward. In summary: How can I make money? How can I make more money? Or how can I lose less money? The closed-loop paths between users' initial intent and achieving the endpoint are clearer in Crypto, and AI can equalize information based on existing data, helping users manage their assets better or simply discover more wealth opportunities. I think this is the uniqueness of Crypto AI. Compared to Web2 AI, Crypto AI addresses more focused problems and has better practical capabilities based on on-chain data, as long as it can better aggregate information and adapt to personalized needs.
After sharing the uniqueness of Crypto AI, the second question is: Why do people feel that Crypto AI has not been fully implemented?
If you observe closely, the grand narrative of Web2 AI is about how to break through general capabilities. For example, OpenAI can do almost anything, from financial analysis to tracking F1 racing progress. Its goal is to continuously enhance general capabilities to further drive implementation. This vision is very high, but the difficulty is also great, so many core talents, to some extent, are converging towards this direction.
However, many Web3 agents are committed to solving real problems, including UI/UX, user personalization, and information over-distribution. As mentioned earlier, Crypto AI aims to address more focused problems, but in the process of solving these problems, Crypto AI has two phases.
First of all, Crypto AI can be quickly verified or falsified because the most direct point of combining Agent and AI is consumer-facing; users can easily feel whether the product is good or not. In the past, it was actually very difficult to falsify Crypto. For example, when building a chain, you could spend three to five years narrating while following cycles, and it would take a long time for everyone to truly understand the project. However, the pace of Crypto AI is fast; the first wave of AI was basically all Meme. From a technical stack perspective, it is indeed quite low, and its real value is somewhat unclear. For example, GOAT, at its inception, was seen as fun, but no one really cared about what GOAT was saying. In summary, in such a cycle that's easy to falsify, consumer-facing Crypto AI will indeed suffer stronger impacts.
However, challenges come with opportunities. Since everyone has recognized that Crypto AI is not just a meme, how can we do better based on this? In other words, how can Crypto AI more precisely address the problems users face? For instance, in some high-frequency essential scenarios, helping users understand why prices rise or fall, what to pay attention to, and what actions to take, I think there are many real issues waiting to be solved. This is also what we want to address through TrueNorth.
Deep Tide TechFlow: Based on your response, if there is an opportunity to attract more Web2 AI developers into Web3, what do you think that opportunity would be?
Alex:
From a visionary standpoint, the products we are building precisely represent this opportunity.
What TrueNorth does is quite simple: every morning when you wake up, you must check your wallet to understand whether you have made a profit or not. TrueNorth aims to help you achieve better asset allocation, whether to buy or sell, and why prices rise or fall. We are committed to smoothing out the entire path and allowing AI to provide personalized services for every user.
Currently, the penetration rate of Crypto is only 5%, and some CeFi users are already willing to use similar AI products to manage assets to capture wealth opportunities in Crypto or DeFi. So, could the product we are developing today be the first product used by the next wave of 5% users entering Crypto?
I believe this is a goal we genuinely want to achieve: every user entering Crypto will have asset management needs and will need to know what opportunities to discover and capture in this industry. However, with such an explosion of information and so much noise, they need a product that can help them smoothly handle these issues, guiding more people to enter this industry. I think TrueNorth will be one of the significant opportunities you mentioned to attract more Web2 developers into Web3.
In simple terms: When people first encounter Crypto, they will think of TrueNorth. TrueNorth is the essential product for them to enter the cryptocurrency world.
Deep Tide TechFlow: Indeed, many friends encounter Crypto for the first time, even some very simple and basic terms can confuse them. For example, a friend recently wanted to use USDT to purchase a membership on an external website, but he didn't know how to buy USDT, how to transfer it, or what a TRC address or EVM address was. There are many basic issues that need to be resolved. As Alex just shared, if targeting very novice users, trying to bridge the gap between Web2 and Web3 does require considerable effort in terms of content or product design; this also represents a significant market opportunity.
Willy:
I completely agree with what you said. I have many friends like that around me. Recently, we have been conducting user interviews and learned a lot about the friction they encounter.
Regarding how to attract more talent to build in Crypto, I think it is now much harder to work in Crypto than before, especially with many altcoins being difficult to recover. Therefore, I believe current Crypto projects need to have a very strong ability to identify real needs, which shares many commonalities with some Silicon Valley methodologies in Web2—namely, you need to identify a specific pain point and solve the problem through an application. If you can clarify this, you will not only impact users by identifying their actual needs, but you will also attract excellent talent to join you in solving real problems.
After identifying the pain points, entrepreneurship often becomes a contest of understanding, including the technical realization of the project, the implementation path, and strategic thinking, which are also vital factors in attracting talent to join.
The third point is execution capability. The other day, I shared a picture on Twitter showing that many things in Crypto are hard to falsify. From the application perspective, we need to measure product performance through some basic dimensions, which reflects our execution capability in timely product delivery, among other aspects.
TrueNorth: Your 7 x 24 cryptocurrency OG partner
Deep Tide TechFlow: We just talked about some product visions: when people first encounter Crypto, they will think of TrueNorth. Project names often reflect the project's significant vision. Does the name 'TrueNorth' have a deeper interpretation?
Willy:
TrueNorth was actually proposed by Alex because we feel that for most users, they are like adventurers starting their Crypto journey. Crypto is quite dangerous; it's easy to lose money, and there's a lot of information, many traps, and high complexity. Therefore, we believe this adventure needs a guiding force. 'TrueNorth' is like a compass for humanity's initial exploration of the Arctic, like the aurora, lighting a lamp for adventurers on the cold earth, pointing out a path, making the adventure less lonely.
Additionally, there is a lot of noise in the industry now. The 'True' in our project name is also a hope to guide everyone through the fog to find the truth, helping everyone truly reach the destination.
Deep Tide TechFlow: How would you describe the product to users encountering TrueNorth for the first time in the simplest language to help them quickly understand TrueNorth's unique positioning in the Crypto market?
Willy:
In simple terms, TrueNorth is the first AI-driven value discovery engine in the Crypto industry, which means TrueNorth can integrate diverse data to assist users in timely grasping market dynamics, enhancing investment decision-making and efficiency.
In addition, TrueNorth also possesses significant advantages in personalized experiences. TrueNorth can provide tailored investment information and advice based on users' levels of crypto knowledge, optimizing users' asset management levels through intelligent portfolio management. Our AI Portfolio continuously monitors the market around users' assets and outputs signals based on their habitual preferences and future needs, assisting users in making investment decisions and providing effective risk management, thereby making the entire trading process simpler and more efficient.
Alex:
I hope TrueNorth will be the first app that Crypto users open every day. Just now, we talked about a lot. Crypto users need to manage wallets, accounts, and understand market trends. In summary: What happened? Why did it happen? What actions should I take?
These three questions are gathered together; theoretically, they can be launched to many platforms. We hope this launch can be based on users' own needs and aggregate information into a place users trust, helping them find the truth behind the data. In summary, it's: a trustworthy partner guiding you to find direction in the chaotic crypto industry.
Further speaking, TrueNorth has many functions. If we were to personify it, it would be like your 7 x 24-hour cryptocurrency OG partner. You can ask it any questions about Crypto, and when you wake up every day, you first learn about cryptocurrency market trends through it.
Deep Tide TechFlow: The next interesting question is, sometimes AI can also lie, and issues like AI hallucinations are also criticized. TrueNorth itself outputs a lot of information to users. How can users trust that TrueNorth's output is reliable? Or how do you ensure the authenticity of the information?
Alex:
This is a great question. On one hand, TrueNorth's data sources are sufficiently numerous and real-time. Our data sources include on-chain and off-chain data: on-chain data consists of real-time data from various chains like Solana, EVM, etc.; off-chain data includes signals from TG groups, Alpha groups, even conspiracy groups, and sentiments on Crypto Twitter.
We aggregate a large amount of data with great precision. The underlying Agent also uses reinforcement learning, allowing it to learn how to refine these data based on real-time market fluctuations. On the basis of sufficient and real-time data sources, the logicality of AI cross-validation forms a closed loop, using the capabilities of large models to integrate these elements and arrive at a closer approximation of the truth.
For example, today you may find many people shouting about projects on Twitter or offering enough rewards to push a project into more people's view, but is that project really good? Sometimes it's not the case. Evaluating a project's quality requires more data, such as Market Cap, on-chain liquidity, future project plans, etc. Therefore, TrueNorth is actually a multi-dimensional due diligence tool that presents the most diverse data to users as truthfully as possible without distorting output results through other incentive mechanisms.
I think this is one of the things that sets TrueNorth apart; it provides the most authentic feedback based on market data, which is completely different from many hype-driven marketing approaches. I believe this will also provide users with a very different experience.
A personalized front-end experience for everyone, with ultra-low latency backend efficiency.
Deep Tide TechFlow: Alex has already shared some technical logic or thoughts, so I would also like to ask both of you to share which technologies TrueNorth excels in. During the process of tackling related technical issues, what problems have deeply troubled the team? Could you share some interesting stories behind the technical research and development?
Alex:
Our technical foundation consists of three major modules:
Generative UI/UX: TrueNorth adopts a dynamic, hyper-personalized interface that actively adapts based on each investor's interaction behavior and changing market conditions.
Agentic Flow: Our unique scalable intelligent architecture seamlessly integrates discovery and execution functions through advanced multi-agent collaboration. TrueNorth can infer intent based on user historical behaviors and preferences, coordinating complex investment workflows, thereby reducing the cognitive burden on users and simplifying operations.
RL Bootstrap: TrueNorth employs advanced reinforcement learning techniques, including self-play, multi-agent reinforcement learning, and human feedback-based reinforcement learning, to continuously optimize agent performance.
I believe generative UI/UX is a very cutting-edge concept. Although many people are starting to pay attention to it now, our application has a core goal: to achieve true personalization.
Initially, when I discussed with Willy, some mentioned that the Web2 era also attempted customization, but the results were always unsatisfactory. We believe that the Agent can solve the past issues of achieving true customization for everyone.
In Web3, generative UI/UX is the key path to solving problems. During the user's exploration of Crypto, regardless of whether they care about technical indicators, TLDR summaries, personalized signals, or even a feature we have called 'look through someone's sight,' which is based on the perspective of a KOL or influencer, how do we visualize these user concerns? This is what generative UI/UX does, generating visual content in real-time through AI on the front end, including data modules and charts, similar to the widgets in Apple's health app, completely based on user preferences.
For example, Willy is a long-term investor, and I am a meme investor. The content we focus on is different, and the products we see at the front end are also different. TrueNorth will dynamically adjust UI/UX based on users' investment preferences. This was completely unachievable in the past because traditional approaches were templated. Our breakthroughs in generative UI/UX are an important innovation and also one of the core highlights of our product.
In tackling this technical challenge, the biggest problem is how to better achieve customization. The advantage of Web3 is that through wallet connections, users' transaction records, purchasing behavior, etc., can be seen, providing a solid foundation for personalized cold starts. Based on this, we have already achieved stunning results in our product prototype.
The second story is about Agentic Flow. This concept sounds simple. People might say it's the second mainstream framework like langchain. However, while it's easy to create a toy, it's very difficult to achieve production-level applications.
For example, our Agent search can now achieve a delay of within 10 seconds in the case of multiple data sources, and even after optimization, it can achieve user-level feedback within a few seconds. Currently, there should be no Crypto application that can do this.
For instance, in the future, we need to support hundreds of thousands or even millions of DAUs. If we use the existing open-source frameworks, even the best frameworks in Web2 cannot meet such technical indicators.
The core challenge we face, in addition to achieving ultra-low latency, is to design an efficient Agent organizational structure. Behind each frontend generative UI is an Agent. How does it quickly find answers and present them personalized to user preferences? This involves a series of complex technical challenges. Core members of our team have previously been responsible for the production-level architecture of Southeast Asia's largest e-commerce and media platforms, so we have fully planned for production-level scalability from the outset. To achieve instantaneous responses, we must build our own infrastructure and technical system from scratch. This is an issue that many teams, whether Web 2 or Web 3, have not yet prioritized in AI development, while we have already laid the groundwork and achieved these technical breakthroughs.
Deep Tide TechFlow: How has the feedback been during TrueNorth's internal testing? Good or bad, can you share some of your observations? What new features or updates will TrueNorth bring to users?
Willy:
In this process, we find that the differences between different users are still very large. For example, veteran Crypto players and new Crypto users have completely different understandings of the same event, the same data, and the expected effects they hope the product will present. Additionally, different users have varying needs for the entire user journey; novice users may not have as many assets and focus more on exploration and discovery, while professional users expect to iterate quickly and keep up with the market. We have discovered some conclusions during our research, but there are also uncertain parts. We hope to use generative UI/UX to better meet these diverse needs.
Another challenge lies in the trust users have in AI. Our product not only provides data but also analyzes this data to draw conclusions or summaries. However, getting users to trust AI's judgment is a challenge. We believe that providing personalized services through generative UI/UX and combining external information backing will gradually build users' trust in these results or insights.
Alex:
Regarding future product planning, we have several key directions:
The first direction is continuous personalization. We hope that the product can provide a unique user experience for each user, serve different user journeys, and help them form their own exclusive development paths. Therefore, personalization is one of the core functions.
The second direction is the expansion of asset categories and dimensions, from a single token to the aggregation of multiple events. We will approach this from two directions: first is Topics, which give assets and events a sense of timeliness and cyclicality, for example, the China-US rivalry. The second is the expansion of product categories, whether mainstream or small-cap, as well as many on-chain products, such as RWA, which provide users with more choices and discoveries through more refined granularity.
Additionally, I think one of our major characteristics is that we deeply pursue an understanding of user intent and proactively recommend. For example, a common question users ask is, 'Should I buy BTC now?' Many times, the Agent's response is that they should not buy, and the conversation ends there. However, what users really want to know is, 'When is the right time to buy BTC?' This is also a very important function of TrueNorth, which will deeply understand the intent behind the questions and provide answers at the appropriate time for every question users have asked.
These features are important measures designed around user needs, and we will continue to optimize and implement them in these directions.
Crypto AI Trend: Bringing output infinitely close to user intent
Deep Tide TechFlow: The Crypto AI market is continuing to warm up. After the craziness of AI memes, what do you think will be the next hot topic leading the Crypto AI market?
Willy:
I believe there are two.
The first type would be products like TrueNorth. TrueNorth does not showcase AI capabilities through a so-called Chat Bot. In the early days, some AI products required users to hand over their money to help manage their assets. I think this approach is too direct, and I believe the current infrastructure is still not mature enough. Products like TrueNorth do not overemphasize AI capabilities, but they indeed showcase AI capabilities well, especially in terms of user journey, allowing users to feel that AI can move forward and be very close to them.
The second point is how to define Agent or Agency. This is a challenge that both Web2 and Web3 face. I believe an Agent must have autonomy and multi-step collaboration capabilities to meet complex user needs. However, this field still needs time to grow; only when the technology and ecology mature can the so-called Agentic Economy be realized, which is also TrueNorth's ultimate goal.
Alex:
Our market judgment is reflected in the goals of TrueNorth, summarized in one sentence:
Bringing user's intent infinitely close to the output.
This is an evolving process: starting from user intent, Google provides links, GPT provides answers, while Agents can push this boundary further, extending it to outcomes, even the best outcomes. This means we have expanded the capability of discovery to that of execution. In building all of this, there will inevitably be a process of establishing a newcomer, but our vision will not change. In the future, within the entire delivery subject, the role of humans will become less significant, while the ability of Agents to efficiently collaborate with each other to achieve optimal results will become increasingly important. I believe this is an inevitable trend.
In this process, the current challenge is how to make users trust the Agent, trust that the content it discovers is real, and in the future, trust the AI to uncover these real things and believe that the Agent can concretely deliver these so-called outcomes.
This is a gradual process, but the development of AI technology is very rapid. The divergence between Crypto users' intent and the final outcome is not that high; most people are simply trying to achieve wealth effects or manage their assets better. So, from this perspective, the entire development and implementation loop of Crypto AI will be very fast.
This is why, during the entire preparation process, we have already incorporated the development of the so-called Agentic Economy into the entire product stack. We believe that in the future, there will be others who also provide excellent capabilities. However, whether they can work with us to provide better services to users at this distribution layer is crucial. We see ourselves as a core platform that can drive a complete closed loop from user intent to results, which is also what we believe is the future direction.
Deep Tide TechFlow: The last question is, as macroeconomic factors such as cryptocurrency policies, regulatory bills, and tariffs drive a closer connection between traditional finance and cryptocurrency finance, we are about to welcome a more prosperous on-chain financial ecosystem, while also facing an explosion of on-chain information. Do you think this will be an important driving force for TrueNorth's better development?
Willy:
I think it is definitely a good thing.
When I was at WOO, I did a lot of work related to License Strategy. Comparing two years ago to now, we can say that the regulatory environment for Crypto is relatively lenient now, especially in the US. The Trump family is also doing a lot of things regarding regulatory issues, so they certainly have insider information on these matters. Therefore, we can continuously observe them.
Overall, the current regulatory environment for Crypto is relatively lenient. Many regulatory bodies (such as SEC, CFTC, DOJ) have weaker enforcement on relevant cases, and after the implementation of Europe's MiCA, there have been no significant enforcement actions. This lenient regulatory environment is very favorable for the development of Crypto over the next three to four years.
However, a lenient regulatory environment may attract some malicious actors who exploit regulatory gaps to engage in undesirable activities. But I believe that the leniency in regulations is merely temporary; issues may arise leading to tightening in the future. Therefore, despite the current favorable environment, caution should still be exercised, and it's unwise to make exaggerated moves.
