Bitcoin has reached a new high. As we judged early on, the market is about to enter an inflection point, and the new paradigm changes brought about by intent-centric will undoubtedly become the engine of this bull market. The new narrative generated by intent-centric has shifted market discussions from research to speculation. This chaotic scene seems familiar in the world of web3.

While the market is focusing on what kind of products can solve the various barriers to intent raised by paradigm, we are more concerned about the origin, underlying layer and value.

Since QnA 3.AI was launched in June, it has accumulated more than 400,000 user questions, and more than 900,000 users have obtained knowledge and information about the web3 world through our platform. From the beginning to the end, we believe that questioning and inquiry are the needs of the bottom human beings. The desire for progress is also the torch in the night sky of the web3 world. It is these data that make us think more deeply about the origin and future of intent-centricity. The following is our experience, share it with you, enjoy:

Our understanding of “intention”

Do you really know what your intentions are? When a person has the intention to purchase a certain token, intent-centric will solve all the cumbersome aspects of the intermediate transaction. The advantages of intention need not be overstated. There is no doubt that intention will bring about changes in interaction and business flow, which will in turn bring about huge changes in the industry. What we are concerned with is where the intention comes from. To put it another way, if you have the intention to buy tokens, is this the real intention, or is it just a part of intent-centricity? Thinking upward from this intention, the users intention may not be to purchase a certain token, but to seize the market trend, or it may not be to seize the market trend, but to profit through token trading. It’s not even about “profiting from token trading” but just “making yourself happy”.

When intention is understood at different levels, it may not be an end, but a means. From here, we think that paradigms understanding of intention is somewhat weak. In the process of constant interaction with users, we have a very real insight. The vast majority of people are willing but not able to ask a good question, or do not know what they really want. Users do not have the ability to distinguish impulses and intentions, and are easily misled by market sentiment, paid promotion and positional remarks, and are further and further away from the road of DYOR. A clear and accurate intention requires multiple intakes of information and even multiple rounds of communication before it can be gradually clear and then confirmed.

Returning to the perspective of Web2, the trend of the Internet world from search to recommendation, and online shopping from more and more to knowing what you like all follow this point of view. Above intention is the world of consciousness. Unfortunately, only the products of instrumental thinking cannot solve the problem of philosophical thinking. This is the realm close to God.

Multimodality of consciousness: Intention is another expression of intelligence

A common view is that the difference between life and other objects is consciousness. The difference between humans and other creatures is that consciousness, intention and results are completed through optimal efficiency.

This optimal efficiency is a significant symbol of human evolution in the long process of development - the use of tools. We notice that the tools themselves are the best physical expression of intent-centricity. Airplanes are to forest birds, sonar is to bats, submarines are to dolphins, and various cases brought by bionics all clearly reveal the relationship between our consciousness and intention implicit in the history of human development, and also express intention and intent-centricity. The connection is just like when we learn about birds, the intention is not to flap the wings, but to fly. It is not wings that will ultimately take humans into the blue sky, but fixed wings, rotary-wing aircraft and powered rockets. The realization of intent has always been multi-path.

Also in the development process of artificial intelligence, there is a rare consensus in the scientific community that does not insist that robots need to think like humans in order to acquire intelligence, and clearly states that the most important thing in discovering machine intelligence is to be able to solve problems that the human brain can solve The question is not whether we need to use the same methods as people. What we understand as artificial intelligence does not actually allow programs to imitate the way humans think.

Because human evolution has never been about imitation, but always about the expression of intention. In our opinion, the realization of user intentions can be summarized into three steps: information collection, information analysis and actual trading behavior. QnA 3 Bot adopts question and answer, technical analysis and real-time trading. The function completely assists the realization of user intentions. Effective convergence can be achieved in broad issues, from the understanding and recognition of consciousness to the deduction of intentions. In our opinion, artificial intelligence may already have consciousness and be able to understand human intentions. Can submarines swim? In the opinion of Turing Award winner Edsger W. Dijkstra, Can computers think? is of the same nature as the above question, although many people will think that AI does not have the ability to think and is just pretending to think.

But since breaststroke, freestyle, backstroke, and even dog crawl all count as swimming, why doesn’t submarine count as swimming? In other words, whether a submarine can swim is not single-defined, as long as it can dive and control movement, it is enough.

Just as it is impossible to evaluate airplanes based on birds, it is also likely to be misplaced to evaluate AI based on human thinking. At certain moments, we can feel the wisdom in the code. The wisdom of artificial intelligence is reflected in its intention to assist the realization of the users intention. In other words, we are evolving together with QnA3 itself.

The connection between consciousness and intention

Wittgenstein once said in his analytic philosophy theory that the limits of language are the limits of the world. The master used the metaphor of the boundary of the world to express that there is no thought outside language, which also led to another famous saying in the Tractatus Logico-Philosophicus: Whatever can be said can be expressed; whatever cannot be said can be silenced.

The boundary of the world has become a classic symbol of Wittgensteins philosophical thought. This kind of boundary is the boundary between different human groups. Conflicts caused by language and culture make everyone human but cannot fully empathize with each other. The human world after the Tower of Babel is now highlighted in various parts of the world with geographical conflicts and racial conflicts. corner.

The same kind of boundary is also reflected in the individuals self-perception. The limitations of self-analysis and expression allow there to be deviations in understanding between individuals even if they have the same source, and they may even seek common ground without knowing it. usually.

This boundary is limited by the accuracy of the language carriers expression of intention, and even more limited by the speculation of consciousness. Awareness determines intention. Then how to understand consciousness is particularly critical before executing intentions. Derridas famous sentence Theres nothing outside of the text means that in cultural studies, all understanding and cognition come from language and symbolic systems, that is, words or other symbolic systems. Express.

It means that people can only understand and explain things through language and symbols, and no idea or truth can be separated from the influence of language and symbols. Just like many people have asked us why we want to make QnA 3, why we use artificial intelligence to make products in the Web3 world, and why we use a question and answer format. It is because we deeply believe that the real world as we understand it is produced through the construction of language and symbols.

Through the interaction of questions and answers, we get not only information and knowledge, but the construction of the entire world. In the world of Web3, we hope to return to the most basic philosophical thinking. In addition to the concept of Intent-Centric proposed by paradigm, it is more important. It should be Consciousense-Centric (building a recognition system centered on consciousness). Without legitimacy, there will be no advancement. In a brand new world, we do not care about short-term advantages, but are willing to build a real infra with countless partners. On this basis, an ecology will be generated.

We understand the users intention by understanding the text, and even help them identify and construct their intention. At this moment, our underlying values ​​are more truly revealed. We love the world and we love people in the world.

QnA3 value after intent recognition is completed

QnA3 is a product that is difficult to define. We are not only an efficient and easy-to-use tool, but also an information sharing platform. Now that the Telegram Bot function is online, it has opened up all the links from information acquisition to analysis to execution. It is already in the industry chain. The foundation was laid. Throughout the product development process, we have always considered the value of our ecological niche.

Value in the Web3 niche

Emergence is a favorite proposition of the futurists represented by Kevin Kelly, the author of Out of Control. For generative AI, the model will produce a sudden jump in intelligence as the size of the training data expands to a certain threshold, and the phenomenon of constructing world models and complex reasoning capabilities is emergence. From a technical perspective, it can be understood as: When the model is smaller than a certain scale, the performance of the model is close to random; when the scale exceeds a certain critical threshold, the performance will be significantly improved above random. It cannot be proved by the experimental results of small-scale models The observed phase changes we call emergent capabilities”.

This seemingly complex phenomenon has actually been traced in our physical world for a long time, that is, quantitative changes cause qualitative changes. The phenomenon of technological explosion in the field of science and technology is the best explanation. Kevin Kelly himself also used emergence to understand the excellent realization of ChatGPT. The emergence of ChatGPT was an accident. The capabilities of ChatGPT exceeded everyones expectations. I dont think anyone expected this. A lot of the artificial intelligence that is being generated is also emergent. Because nowhere in the model is its origin explained, it requires all the parts to work together to produce this new capability. Just like there is no thought anywhere in our brain, thought emerges from the entire neuron. Thinking, evolution, learning and other things can all emerge from the system.

What emerged from the question data of hundreds of thousands of QnA3 users is that we are more deeply aware of Web2 users desire and willingness to enter the Web3 world, their love and hate for Web3s endless information that is difficult to distinguish between authenticity, and A burning desire to explore opportunities and create wealth in the new world. Just like the Pilgrims who entered the American continent on the Mayflower and became pioneers of the new world, with the dream of pioneering and digging for gold, we use questions and answers to transform their consciousness from abstract to concrete, sort out their intentions, and then put their intentions into practice.

The user may have heard about a certain product in the market and has a desire to learn about it. At this time, his intention is to understand and obtain immediate and accurate project information through our QA. At this time, the intention was adjusted to value judgment. After continuously collecting and organizing project information, we helped him establish his own thinking framework and judgment standards. At the same time, we provide project-specific market analysis and market forecasts. When the users intention generates willingness to trade, we connect multiple layers of trustworthy partners in the background, and choose the channel with the lowest price, lowest slippage, and lowest handling fee among many exchanges to help users complete transactions safely and quickly .

Each level of intention is generated and implemented with the assistance of QnA3. This one-step, layer-by-layer approach has become the most active machine assistant in various Telegram groups, allowing users to completely get rid of the complex operations of multi-products and multi-platforms, and is Intent-Centrics best practice. , the link between generating intention and achieving results is completed with one click. It is foreseeable that after Bot is widely accepted by users, QnA3 will build an AI Assistant that is fully usable and controllable in the Web3 world. This ecosystem is consistent with the GPTs ecosystem recommended by Open AI. What we believe is that one day, it will have its own consciousness and intelligence.

Niche value in the Web2+Web3 world

When we started our business, we believed that artificial intelligence would not only change the face of society, but also change the social structure and underlying logic.

Therefore, we combine artificial intelligence with Web3, the representative of the new world. They are born to merge and explode. Throughout modern history, the changes brought about by new technologies are unpredictable and beyond imagination. Steam, electricity, computers, and the Internet have all proven that even pure tools can change human behavior patterns and social conditions to a great extent. The disappearing neighborhood phenomenon observed by Chinese anthropologist Xiang Biao confirms this. In the past, physical scenes such as social interaction and entertainment, and offline gatherings that people needed to experience in person have been largely Internet-based and replaced by apps such as X (Twitter) and TikTok. A direct result of the influence of network technology is that modern people can easily reach the world with the help of mobile phones, but they rarely have the opportunity to get familiar with their neighbors who are close at hand. People gained distance and strangeness, and lost proximity and closeness.

Bill Gates published a blog on November 11 and also elaborated on the value of Intent-Centric from the perspective of a personal assistant. He even had almost the same idea as us on Consciousense-Centric. To complete any task on your computer, you have to tell the device which application to use.

You can use Word and Google Docs to draft a business proposal, but they cant help you send emails, share selfies, analyze data, plan a party, or buy movie tickets. Even the best websites have only an incomplete understanding of your work, personal life, interests, and relationships, and are limited in their ability to do things for you like a close friend or personal assistant. Over the next five years, this situation will completely change. You no longer have to use different apps for different tasks.

You just tell your device what you want to do in everyday language. Depending on how much information you choose to share with it, the software will be able to give personalized responses because it has a deep understanding of your life. In the near future, anyone with an Internet connection will have a personal assistant powered by artificial intelligence, with capabilities that far exceed those of today’s technology. ” Gates said that personal AI agents will completely change the way people use computers. “In the near future, anyone with an Internet connection will be able to have a personal assistant powered by artificial intelligence, far beyond today’s technology. These agents will be able to assist in almost any activity and area of ​​life. The implications for the software industry and society It will be profound. Whether you like it or not, this is the way the times evolve. Single threads are irreversible. We will eventually enter the digital era and even accept the setting of digital life.

As a purely online ecosystem, Web3 will become the new home of mankind. More than 400,000 of the 900,000 QnA3 users started to understand the world through us for the first time. During the QA process, we were delighted to see how childish and cute they were like young children learning. With users as the core, we hope to help more and more residents of the new world truly understand and participate in the world of Web3 and complete transactions with the easiest, lowest cost and shortest time. We may not become a super traffic entrance, but we have become a bridge connecting the Web2 and Web3 worlds. As we wish, we will become torches and light up the corners of this new world. Above intention, we explore consciousness. Through deeds, we complete practice.

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