AI and Web3 jointly build a software and data-driven future society

Artificial intelligence ( AI ) and Web3 technology are leading a profound technological revolution, and together they will shape a new social form driven by software and data. This emerging social model can be summarized with a concise and insightful formula:

Information + Model + Action = Software + Data

In this formula, information is the input and output of the software, the model is the core of the software, and actions are the goals of the software. Data, on the other hand, is the byproduct of the interactions between information, models, and actions, and it forms the basis for the software's continuous learning and optimization. AI and Web3 each play their roles in this new society: AI is mainly responsible for providing intelligent models that enable the software to process complex information and make reasonable decisions; Web3 provides decentralized data storage and exchange, ensuring that the software can obtain reliable information and achieve valuable actions.

This technological revolution has brought unprecedented opportunities for entrepreneurs and developers, mainly reflected in three aspects:

1. Digital Infrastructure: Providing underlying technical support for AI and Web3, such as computing, storage, networking, etc.

2. Digital Applications: Utilize AI and Web3 technologies to transform or create various applications and services.

3. Real World Transformation: Utilizing AI and Web3 technologies to impact and change various fields in the real world.

However, opportunities and challenges coexist. In terms of digital infrastructure, continuous innovation is needed to overcome technical bottlenecks; in the application field, there is a need to constantly explore new business models and user experiences; when transforming the real world, there are many challenges such as complexity and ethics.

The development of AI and Web3 not only brings technological innovation but also drives changes in organizational structures. Taking research institutions aimed at achieving general artificial intelligence (AGI) as an example, it demonstrates how to create an open, collaborative, and innovative digital organization, setting a benchmark for the entire industry. This organizational model has the following characteristics:

• Openness: Welcoming talents from all walks of life to join and actively cooperating with other institutions to share results.
• Collaboration: Encourage interdisciplinary cooperation and value external feedback.
• Innovation: Supports cutting-edge exploration and respects the autonomy of researchers.

Although AI and Web3 technologies hold great potential, their development is also accompanied by a series of social impacts and ethical challenges:

• Employment structure transformation: While new jobs are born, traditional positions face elimination.
• Restructuring of social relations: promotes collaboration and communication, but may exacerbate differentiation and conflict.
• Cognitive value impact: Expanding human horizons while bringing new confusions.

In the face of these challenges, we need to prepare in advance and respond actively:

• Continuously learn to enhance personal competitiveness and creativity.
• Improve social systems, safeguard human rights and fairness.
• Maintain an open and humble attitude, exploring new wisdom.

For those aspiring to start a business in the fields of AI and Web3, seizing this historic opportunity is crucial. Accurately positioning oneself within the zeitgeist, leveraging one's strengths, and creating value amidst the technological wave will be key to future entrepreneurial success.