Recently, with the release of OpenAI's SORA and the brilliant performance of NVIDIA's financial report, the AI track has rapidly emerged in the crypto industry. NVIDIA's market capitalization is approaching $2 trillion, which not only drives the heat of the entire industry, but also makes the performance of AI projects attract attention. Similar to the trajectory of the metaverse track, the AI track is also an extension from Web2 to Web3, which has become a hot topic in the current market.
In the combination of AI and Web3, many directions have shown great potential. As an important part of this, decentralized computing power is trying to solve the problem of AI models' demand for computing resources. As AI models become more complex, the demand for high-performance hardware such as GPUs is growing rapidly. The advent of decentralized computing systems has made it possible for owners of computing resources to rent out their idle resources and trade them on a secondary market, thus improving market efficiency.
At the same time, the rise of ZKML (zero-knowledge machine learning) has brought more possibilities for smart contracts. By integrating AI into smart contracts, functionality, security, and efficiency can be increased, and the user experience can be enhanced. However, this integration also comes with additional risks and challenges that require in-depth exploration and research on the technical level by the team.
As another hot direction, AI is gradually playing a role in the crypto industry. These robots, which are able to autonomously receive, understand, and perform tasks, use AI models to make decisions and actions, bringing a whole new perspective to the cryptocurrency space. Once trained, they can have their own digital wallets and transact directly with smart contracts, enabling more intelligent and autonomous transaction behavior.
In addition, AI-empowered DApps have also become a current trend. The wide applicability of generative AI allows it to access a variety of applications through APIs, including data analytics platforms, trading bots, blockchain encyclopedias, and more. This combination not only simplifies the process of using the app, but also improves the level of intelligence, bringing a more convenient and efficient experience to users.
Among the many projects, Worldcoin, Render, FetchRepresentative projects such as AI, SingularityNet, Bittensor, and Arkham have all shown great strength and potential. Each of them has made breakthroughs and innovations in different directions, injecting new vitality into the AI track. However, as the popularity of the AI track continues to rise, investors also need to pay attention to the best risks and carefully choose the investment target that suits them.
As a hot topic in the current crypto industry, the AI track is attracting more and more attention and investment. From decentralized computing power to ZKML, AI** and AI-enabled DApps, the development of multiple directions has shown great potential and opportunities. However, investors also need to remain cautious and rational in their pursuit of returns to deal with market uncertainty and risks.