TBW Exclusive: How does 'AI+Blockchain' unlock the widespread adoption of Web3?

In TBW's keynote speech "AI-Fi Unleashed: The Role of AI in Revolutionizing Web3 Finance and Onboarding", four ecosystem project members were invited to discuss how AI can revolutionize the financial system, improve user convenience, and empower individuals around the world. Token design determines the success or failure of the project, how to promote the large-scale adoption of Web3 users? (Background added: TBW Direct VC reveals hidden changes in the encryption market, is Super Bull Market a thing of the past? Taipei Blockchain Week (TBW) debuted on the 12th, and the keynote speech "AI-Fi Unleashed: The Role of AI in Revolutionizing Web3 Finance and Onboarding" invited Tiffany Lai, Vice CEO of 0G Labs Ecosystem, Han Jin, CEO of Bluwhale AI, Kony Kwong, founder and CEO of GAIB, and Shayan Sanjideh, developer ecology engineer at Movement Labs. First of all, moderator Tiffany Lai mentioned that AI and Block Chain are two of the most transformative and disruptive technologies today. When these two are combined, the possibilities are endless. This talk will focus on how AI is revolutionizing the financial system, improving user convenience, and empowering individuals around the world. Decentralized Finance and AI In the Q&A session, Tiffany Lai asked Han Jin about how BluWhale AI helps individuals turn data into assets, and how does he see the convergence of the Decentralized Finance space and finance. Han Jin said that BluWhale AI aggregates multiple on-chain information through AI and distributes suitable information (such as Smart Wallet, Non-fungible Token, etc.) to users. BluWhale positions itself as an aggregator for Layer 3 because, from an L3 perspective, this layer belongs to the "consumer layer" and includes consumer Dapps, Decentralized Finance platforms, Web3 games, and more. As for the combination of Decentralized Finance and AI, Han Jin said that BluWhale AI supports mobile phones to run Node, thereby realizing the decentralization of the network. In addition, Han Jin also pointed out that Web3 + AI is still in a very early state. Tiffany Lai then asked Shayan Sanjideh how his Ethereum Layer2 protocol Movement sees the development of on-chain AI. Shayan Sanjideh first laughed at himself as being the least AI-following among the speakers, and then said that the biggest reason for Movement's existence is to bring "performance" and "security" to Ethereum: For performance, Move uses parallel virtual machines, so depending on the type of transaction you want to submit to the Blockon-chain, he can execute two transactions in parallel due to the statically typed nature of the Move language. This is in stark contrast to Ethereum, where all trades must be queued in the same queue for execution, regardless of what the transaction is. As for security, because Move is a statically typed language, many vulnerabilities, common glitches, and hacks can be caught before problems occur. As of now, Sanjideh believes that about $7 billion in funding was compromised by the EthereumSmart Contract hack. In addition, Sanjideh also mentioned that Layer3 is often criticized in the community: "Now there is L3, followed by L4, L5?" , but he wants users to think carefully about what Layer3 is all about. GAIB's AI Investment Strategy Similarly, Tiffany Lai asked Kony Kwong how he sees AI infrastructure building across the encryption industry, as well as GAIB's roadmap and progress in AI. Kony Kwong said that the Block chain not only brings a variety of features such as decentralization, trustlessness, transparency, etc., it actually brings business models and tokenization, providing economic incentives for the entire project. Kwong also mentioned that Web1 and Web3 are both open sources and pursue decentralization, but the difference is that Web1 does not have a real business model. Now, we can achieve a long-term and sustainable business model through tokenization, which is not limited to the field of "encryption coinBlock", but various fields (AI, real estate, finance...). And there are currently many developers working on building AI infrastructure and applications on Blockon-chain and tokenizing them for users to invest. Kwong went on to say that in the future, AI will explode in terms of applications and infrastructure, and GAIB will focus on three aspects of "AI, GPU, and financialization", and the application is at the infrastructure level: That's why we're very focused on infrastructure, because we have the relevant capabilities and unique accessibility. For us, we're taking these two different assets, financializing the GPU, making it an investable instrument, and then building all the Decentralized Finance modules on top of it, including GPU-backed Stable Coin, lending, Options, and futures. How AI Improves User/Developer Experience Tiffany Lai then asks how AI can improve user experience and usability to attract new users to Web3 "really". Han Jin first replied that there may be people who enter the Block chain just to make money and leave, but in his opinion, the Block chain is a long-term technology that will be adopted globally, and may even replace Web2. In order to achieve this, the Block chain field needs "Mass adoption", and the target user is the average consumer, but this group of consumers has become accustomed to personalized experiences in daily life, which Web3 does not currently have. However, Han Jin believes that AI can enhance consumers' personalized experience on Web3 and make them real Web3 users. Tiffany Lai went on to ask Shayan Sanjideh if Movement had considered leveraging AI to further simplify the process of user introduction and adoption. Shayan Sanjideh uses the perspective of user experience, from horse-drawn carriages to cars in the past, technology and experience are constantly being updated. Sanjideh believes AI will be one of the next big technologies that will make human life better. As AI gradually integrates into society and work, Movement also plans to use AI to make developers' lives easier and simpler. Taiwan may become the center of the AI revolution Tiffany Lai then asked the speaker, Sichuan...