The rise of programmable IP has greatly improved the efficiency and effectiveness of creation with the help of artificial intelligence, allowing Web3 users to experience the fun of independent creation and product production. However, do you know how the creator economic model can move towards a more mature operation track under the support of Web3 technology in the context of the advent of the AI ​​era? The 43rd issue of TinTinWeekly will help you unlock the technical answers and move towards a new stage of creation full of potential and opportunities!

The 43rd TinTinWeekly event was successfully held at 20:00 on April 29. The live broadcast invited Story Protocol CTO Leo Chen, Story Protocol protocol architect Kingter Wang, RockTree Capital Chairman Omer Ozden, Matrix Partners investor zixi, MetawebVC founder and NEAR early contributor Amos, MyShell Chief Shlling Officer Aiko, and Pond Asia Pacific Director to the event live broadcast room. Starting from industry development and investment experience, they deeply analyzed the opportunities and challenges of the creator economy in the Web3 era. This online event attracted more than 40,000 viewers, and many viewers also interacted closely with the guests in the live broadcast room.

Friends who missed the live broadcast can click to replay:

️ Twitter Space：https://twitter.com/i/spaces/1jMJgmEPdkAKL

AI+Web3: The forerunner of the creator economy wave

Under the current wave of creator economy led by programmable IP, have we observed the innovative trend of AI+Web3 integration? It is precisely because AI technology is deeply integrated with the Web3 industry that emerging concepts such as programmable IP have been given ample room for growth.

Positive integration: AI and Web3 technologies support each other

Omer pointed out that from the perspective of practical application, Web3 can handle many problems of AI in the process of product operation, including data verification, token incentives and other models. In fact, this is also an important field where artificial intelligence can be integrated with AI. However, in the process of rapid development of artificial intelligence, a huge amount of energy consumption has been brought about. Web3 is an important technology for coordinating energy consumption to improve efficiency, such as processing the quality of images, texts, and video models generated by AIGC, completing the lightweight output of structured data, and applying proxy mechanisms to realize DAO automated processing. These are the functional advantages of current Web3 technology for AI applications.

In addition, Zixi added that Web3 can solve many problems of AI commercial applications, such as data confirmation, transaction verification and data labeling. Through community operation and transformation, Web3 can also accurately design and customize products for potential consumer groups, and increase the transaction volume and application space of AI products. In fact, this is also the direction that many AI x Web3 companies are working hard to improve and improve. If more companies can further improve their computing power in the future, such projects will have more room for investment and development.

In this regard, three teachers believe that AI is expected to bring significant improvements to the Web3 industry. In the process of wallet applications and smart contract operation, AI models can provide intelligent data analysis and data filtering for Web3 projects, and carry out data cooperation and application analysis on interactive nodes. In addition, in terms of market forecasting, AI models can provide more scientific and accurate trend decision-making basis, which is very important for Web3 product development and investment. It can also be used to develop more advanced and safer profit strategy application models and complete the design of marketing technology stack.

Opportunities and Challenges: The AI ​​Transformation Path of Web3 Projects

"A major opportunity in integrating AI and Web3 is to inject Web3's token incentives into AI products and package and label data through C-end computing power output." Faced with the issue of combining AI and Web3 technology, the live broadcast guests said that it contains huge technical opportunities and market prospects.

The view that "AI changes productivity, and blockchain changes production relations" has been deeply rooted in people's minds. "Currently, the fields of Bot/Agent/Assistant model assetization, computing power data platform, generative AI, DeFi transaction/audit/risk control, ZKML, etc. have attracted the attention and investment of Web3 industry investors; AI+Web3+energy has also become the favorite choice of many people in the industry with the social significance of sustainable development, covering different aspects such as renewable energy, smart grid, and clean energy optimization management," Omer analyzed.

Teacher Sanzhi believes that in the face of massive investment opportunities, the on-chain intelligent analysis track will have the opportunity to convert cumbersome technical links such as copy trading and encryption algorithms into efficient and concise operating procedures. But at the same time, we have to admit that there are some development challenges in the current AI+Web3. For example, the current technical infrastructure of AI+Web3 is still in the early development stage, and the difficulty of distinguishing the true from the false in massive industry information is rising sharply. Which artificial intelligence projects really have market application value? Which artificial intelligence is just a gimmick? In order to solve these problems, the development of AI+Web3 projects still has a long way to go.

Especially in the current wave of decentralized development, AI itself is a centralized product. How to get more developers involved and overcome some performance degradation and latency bandwidth issues is the key. "Talents who understand Crypto and AI will be the talents needed in the future Web3+AI track," Zixi said with emotion.

Using AI and blockchain technology to create programmable IP

The rise of AIGC has actually created a new practical problem, which is how to distinguish between AI-produced and human-produced content. Leo proposed that under the parameter model design of large-scale data volumes, the industry has been exploring what kind of generated content and protection mechanisms can meet user needs. In order to better grasp the quality of generated content, for example, OpenAI has developed Copyright Shield to train parameter-based models to adapt to on-chain content production in collaboration with AI, so as to protect the sovereignty of IP.

Story Protocol: Protecting truly valuable content

“Among the many current disputes over property rights protection, questions arise about the property value of works that were originally public domain works. Therefore, in the process of using blockchain technology to track the value of IP products, it is also necessary to conduct comprehensive evaluation and judgment on specific content to solve the traditional problems of intellectual property tracing and confirmation, so that truly valuable content can be protected,” Kingter analyzed.

To this end, the birth of Story Protocol is just in time. Leo pointed out that Story Protocol has created a new way to release creativity and liquidity by transforming IP (intellectual property) into a network that can cross media and platforms. Creators can choose from a set of parameters (or preset a "simple style"), generate IP liquidity by eliminating all remix friction, and the unique narrative elements registered by users can transcend the boundaries of the original application and become portable and composable assets in the ecosystem.

Independent IP Ecosystem, a Breakthrough for Story Protocol

To achieve this vision, Story Protocol supports the construction of a rich third-party developer ecosystem, providing complementary tools and services including crowdfunding, capital accumulation, IP mining, licensing modules, identity verification, and community development. "This liquidity and interoperability not only enriches the user experience, but also promotes a virtuous cycle of the creative ecosystem, amplifies the application value of the IP itself, and these IPs are easy to transplant and expand, and can incubate and transform more innovative projects in the future," Kingter explained.

With the original intention of developing IP into a platform with network effects, Story Protocol hopes to create an ecosystem that allows users to own their own IP, complete various project expansions and content creation, and allow creativity and imagination to spark new sparks with various projects on the chain.

“Chain abstraction” narrative enhances users’ crypto application experience

There are two main development lines in the evolution of the public chain track: "modularization" and "chain abstraction". Currently, "chain abstraction" is still in the gestation stage and needs to further eliminate the communication and liquidity barriers between chains until all the complex back-end protocol interactions are "hidden" to achieve an improved user experience level.

Focus on flexible NEAR ecosystem, "chain abstraction" solutions

Amos introduced that the NEAR ecosystem has been working towards the vision of chain abstraction since its inception in 2018, focusing on building a usable, flexible account model, and highly scalable blockchain to support mainstream applications with billions of users. Today, the technology stack has expanded to support comprehensive chain abstraction across chains and various applications.

Recently, NEAR launched a new blockchain operating system BOS, which is used to browse and discover the public layer of network experience. Through NEAR account abstraction, chain signatures and intent relays, all on-chain accounts are connected. "From a technical point of view, the more complex the logic of inter-chain interaction is, the richer and more diverse the user intentions and usage experience will be. Now, the NEAR ecosystem is also extending an invitation to the Web3 industry, hoping that developers can make full use of various cooperative solutions to coordinate and cooperate on chain abstraction solutions," Amos envisioned.

Multiple intelligent advanced products, AI projects are expected to continue to emerge

In fact, NEAR Protocol, as a Layer 1 blockchain based on sharding and PoS, is also closely related to AI technology. In order to build decentralized applications, provide users with a smooth experience and achieve seamless expansion, NEAR innovatively adopts three technical narratives: chain abstraction (CA), data availability (DA) and AI. In November 2023, NEAR released NEAR Tasks to train and improve artificial intelligence models; in January 2024, Illia Polosukhin delivered a speech entitled "NEAR's Vision of Building Digital Self-Sovereignty", pointing out that in the future, NEAR Protocol will be developed into a completely independent operating system, and functional optimization for user needs will be achieved through AI assistants. I believe that more AI projects will emerge in the NEAR ecosystem in the future.

Creator-friendly platform, Web3 survival guide for IP assets

In order to better stimulate the content productivity of creators, what is needed is not only the external application experience guarantee, but more importantly, the creators should be able to gain autonomy in exploring and producing their works. MyShell is embarking on a new link of "creator economic model".

User Creator Economy gives MyShell a powerful boost

Aiko introduced MyShell as a fair and open source AI ecosystem. As an AI agent/APP creation platform, creators can build applications and easily capture users, and support private AI customized platforms to obtain corresponding project incentives. MyShell has strong technical capabilities, allowing creators to easily call the models provided by MyShell and third-party models for creation. It provides creators with a feature-rich APP application store and is equipped with channels for publishing and managing AI application creation.

It is worth mentioning that MyShell has become the preferred use case for the cooperation between the programmable IP layer Story Protocol and the AI ​​execution layer Ritual; developers can register AI models as intellectual property on Story Protocol to achieve large-scale licensing and revenue generation, and run MyShell's AI models on Ritual infrastructure to register them as IP assets on Story Protocol.

In order to better attract creators to join the platform to start project development and creation, Myshell has also been promoting the "User Creator Economy" plan, allowing creators to join in through open source and commercial creation applications to form a democratic and stable creation and operation mechanism. "Our goal is to create a lively and interesting AI Application ecosystem, and use crowdfunding and low-cost methods to allow creators to experience a more interactive and richer project ecosystem," Aiko said.

Although the creator economy is still in its infancy, the guests in the live broadcast room said at the end of the event that visual art and video works are expected to become an important track for AI technology to advance into the Web3 industry, with a view to the interaction and integration of AI technology and the creator economy. They also look forward to more open and democratic creator community ecosystems that can mature under this wave and move towards the new outlet of the creator economy.