清星

On November 8, Binance Labs announced an investment in the DeSci project BIO Protocol. On December 23, Binance Launchpool announced the launch of the 63rd project, Bio Protocol (BIO). It will go live on January 3, 2025, at 18:00, with trading pairs BIO/USDT, BIO/BNB, BIO/FDUSD, and BIO/TRY.

Beyond the meme craze, the crypto industry continues to invest in practical projects, and Binance Labs' investment trends are also attracting attention. Binance Labs announced an investment in the decentralized science (DeSci) related protocol BIO Protocol, marking the first investment by Binance Labs in a project within the DeSci track, which has become a focal point of attention.

So, what exactly is BIO Protocol? What benefits will BIO Protocol bring us? How can it help future development? What is the future outlook for BIO Protocol? What unique aspects attracted the investment from Binance Labs?

In fact, BIO is a management and liquidity protocol for decentralized science (DeSci), with the mission of enabling a global community of patients, scientists, and biotechnology professionals to collaboratively fund, build, and own tokenized biotechnology projects and intellectual property (IP), thereby accelerating the development of biotechnology. The team behind BIO helped create Molecule (a tokenized platform for early biomedical research) and VitaDAO (the largest decentralized community for longevity science). Based on these successes, BIO aims to catalyze an on-chain science economy through decentralized funding, incentives, and liquidity. The BIO token allows holders to access BIO's scientific community and IP network, thereby gaining broad exposure to the DeSci economy.

Therefore, the hope for a surge in BIO coin is very high, and it is worth keeping an eye on!
#BIO开盘

#DeSci热度上涨

Get Rich This Year

Since the development of the encrypted economy, the on-chain infrastructure has become increasingly完善, while the user experience is still in its初级阶段. After improving the user operation experience, it is expected to attract more users into the on-chain ecosystem, which in turn will promote further development of the infrastructure and enrich commercial forms, forming a ladder cloud vertical effect of stepping on the left foot and the right foot. The '1995 moment' of encryption may rely on the emergence of a user-oriented killer application or operating system. dappOS aims to achieve this by transforming the current on-chain operation logic of 'assuming users are experts' to 'assuming users are novices', hiding complex operations and logic, and providing users with a simpler, more convenient, and secure experience. AI can also assist users in more easily realizing their intentions.

DappOS is an intent execution network for specific value tasks, enabling chains and dApps to be intent-centered. It transforms intent into on-chain results by creating a bilateral market: on the supply side, service providers stake collateral and choose to run one or more execution services. On the demand side, it enables developers to find solutions that meet user intentions.

dappOS's team consists of about 40 members distributed globally, most of whom are technical developers. Isabella, as a co-founder of dappOS, previously worked as a software engineer at Google, participating in projects such as Google Search, Google Maps, Gmail, and YouTube. She has a deep understanding that technology products must serve a wide range of users and provide an excellent user experience.

#dappOS推出基于其意图网络的现货交易
#BianceWeb3Wallet

With the continuous development of internet technology, the concept of Web 3.0 has gradually emerged. Web 3.0 aims to build a more open, decentralized, user-owned data network ecosystem. However, the current development of Web 3.0 faces numerous challenges, such as user authentication, smart contract security, and data privacy protection. AI Agents, as a new type of intelligent entity, are expected to play an important role in Web 3.0, addressing these issues.
The potential of AI Agents in combination with Web3 is mainly reflected in the following three aspects:
1. Data provision and model training
The decentralized model of Web3 allows users to autonomously provide data, forming a data source for model training, and receive project benefits in the form of tokens. The more users there are, the greater the platform's profit, thereby attracting more data providers and further optimizing the model. This model is different from the centralized data model of Web2, presenting a positive feedback effect of 'stepping on the left foot with the right foot.' However, the development of AI is still in its early stages, and the user base of Web3 is relatively low, with the actual market effects still not significant.
2. Balancing information asymmetry
The transparency of blockchain brings a wealth of publicly available information, but the sheer volume of information is overwhelming and scattered, making it difficult for users to comprehensively and accurately obtain the information they need. AI Agents can integrate information from different blockchains, provide simplified analysis and risk assessment, and help users grasp market dynamics. By refining and analyzing data, AI Agents can effectively alleviate the information burden on users and provide them with more informed decision support.
3. Tokenization of AI Agents
Users can list and sell their self-built AI Agents, achieving the tokenization of AI Agents and thereby enhancing the richness of applications on the Web3 platform. This not only creates an incentive for users to design AI Agents but also helps to increase the token's value capture capability. In this model, AI Agents can be transferred, traded, or shared like NFTs, providing a more flexible usage and revenue model.