The dilemma and risks of centralized AI: resource monopoly and governance concerns

Amid the rapid development of AI, the network effects and capital-intensive characteristics behind it have become increasingly prominent, leading to a serious imbalance in resource allocation. AI explorers in small businesses and academia often face the dual dilemma of resource scarcity and difficulty in realizing results, which not only curbs diversified competition in the field of AI, but also limits the full release of innovative vitality. At present, the power of AI seems to be concentrated in the hands of a few technology giants such as OpenAI and Google. This centralized trend has caused profound governance concerns.

The racial bias incident of Google's AI image generator Gemini and the exposure of senior changes within OpenAI are both warning lights for this problem. They reveal that even at the forefront of science and technology, there may be situations where models are manipulated to cater to specific biases or interest groups. What is more worrying is that with the growing influence of AI, the scenario where a single company holds the decision-making power of key AI models may lead to an opaque decision-making process, or even be used for personal gain, thereby sacrificing broader social welfare.

Therefore, the current status of centralized AI not only restricts the healthy development of technology, but also sows the seeds of social risks. Promoting the decentralization of AI, strengthening supervision and transparency, and ensuring that technology serves all mankind rather than specific interest groups have become major issues that need to be addressed. $STRAX $ARK $MDX #以太坊ETF批准预期