#Gate广场AI测评官 What Does AI Really Bring Us?

In recent years, the rapid development of artificial intelligence (AI) technology is profoundly changing our way of life and work. From ChatGPT to DeepSeek, Doubao, and future "XS," AI tools continue to iterate endlessly, attracting widespread attention and discussion. However, the popularization of AI also comes with numerous controversies and confusion. Capital manipulation, technological barriers, widening wealth gaps, and public misunderstandings of AI all compel us to reflect: How do we correctly understand AI? How do we find our place in the AI era?

The rise of AI technology cannot be separated from capital's push.
Whether in research and development, promotion, or commercialization, capital plays an important role. However, capital's involvement also brings many problems. Anything manipulated by capital leads to wealth disparity, and the gap between rich and poor only grows wider.
Capital's profit-seeking nature determines that it tends to serve a few rather than the public.
Take ChatGPT as an example. While it provides convenience to users, advanced features and deep usage often require payment. Although this business model is legal, it leaves ordinary people feeling helpless. What's more concerning is that technology updates at an extremely rapid pace, and users' devices need constant upgrades, which undoubtedly increases the financial burden on ordinary people.
Furthermore, capital's tactics are everywhere. Many AI products attract users through free or low-cost offerings initially, and once users become dependent, they begin charging or raising prices. This "free first, then paid" model, while a common business strategy, makes ordinary people feel trapped. Online discussions are full of market hype and tactics—how many people actually benefit? And who are those who benefit?
AI's progress should benefit more people, but under capital's manipulation, the popularization of technology often comes with barriers and traps. To realize AI's universal sharing, we must break capital's monopoly and lower technological barriers to entry. However, this is not easy.
First, the research and operational costs of AI technology are extremely high, which ordinary enterprises struggle to afford.
Second, capital's profit-seeking nature means it won't voluntarily relinquish control over technology.
Therefore, we need policy guidance and social oversight to promote fair distribution of AI technology. For example, the government can reduce the cost of ordinary people using AI through subsidies or policy support; enterprises can also support disadvantaged groups through corporate social responsibility programs.
Additionally, education is an important pathway to achieving universal AI sharing. By popularizing AI knowledge and enabling more people to understand and use AI technology, we can reduce the technology gap and promote social equity. As someone said: "Don't use so many tactics—share the skills with the public." Only when more people master AI skills can we truly achieve universal technology sharing.

AI's rise makes many people worry about being replaced by machines. This concern is not without reason. AI's strength lies in its ability to rapidly process large amounts of information and continuously optimize itself through algorithms. However, AI's limitations are equally obvious: it relies on preset rules and data, lacking true creativity and emotion. The human brain is constantly evolving; only through continuous learning and improved cognition can we surpass AI.

AI can mimic human thinking, but it cannot replace human creativity and emotion. Therefore, in the AI era, we need to focus more on learning and enhancing cognition rather than blindly relying on technology.
AI's essence is as a tool, not an end. We can use AI to improve efficiency, but we cannot depend on it to solve all problems. True creativity comes from the human brain, not machines. AI is like a brain with an inserted memory card; if the card isn't updated, the information inside is merely fragments constantly recombined.
AI's output depends on input data and algorithms, while human thinking is dynamic and creative.

AI's progress has brought unprecedented convenience to humanity but also new challenges. Capital's involvement has further widened wealth gaps, and technology's popularization comes with various traps and barriers. Against this backdrop, we need to remain clear-headed, focus on learning, and enhance our cognitive abilities to meet AI's challenges. At the same time, we need to pay attention to the balance between technology and humanities.

AI's essence is to serve humanity, not control it. Only through continuous learning and reflection can we find our place in the AI era and achieve mutual progress for individuals and society. In the AI era, maintaining clarity, focusing on learning, and promoting fairness are key to meeting these challenges. Continuously improving cognition enables us to create higher-level AI applications rather than being eliminated by AI.