Why is OpenAI so corrupt?

In today's rapidly developing technology, competition in the field of artificial intelligence is fierce. OpenAI, which once stood at the pinnacle of the industry and led the AI trend, now seems to have fallen into a regrettable state of "decline". This transformation is thought-provoking, why did OpenAI come to this point?

Since its establishment in 2015, OpenAI has carried a grand vision and is committed to promoting the development of artificial intelligence technology, ensuring that general artificial intelligence benefits all mankind. At first, it presented itself as a non-profit organization, attracting numerous scientists and researchers with ideals. Everyone was enthusiastic and hoped to bring benefits to humanity through open and collaborative approaches using artificial intelligence.

However, over time, OpenAI gradually deviated from its original intention. From the moment of business transformation, everything seemed to quietly change. In 2019, OpenAI shifted towards a limited profit model, and Microsoft's huge investment also led it further and further down the path of commercialization. The once emphasized concept of open source and openness is gradually being replaced by commercial interests. This transformation is like a fierce collision between ideals and reality, and reality seems to have the upper hand.

In terms of technological development, OpenAI also faces many doubts. The once proud GPT series, although causing a huge sensation when it was launched, has shown some weakness in its subsequent development over time. On the one hand, the training cost of the model is becoming increasingly high, and in order to maintain its leading position, OpenAI has to invest a large amount of funds and computing power. This not only leads to excessive concentration of resources, but also leaves other small and medium-sized research institutions in the dust, disrupting the balance of the entire AI research ecosystem. On the other hand, OpenAI seems to be stuck in a bottleneck in technological innovation.

Talent loss is also a major challenge faced by OpenAI. In recent years, many senior executives have resigned one after another, and the departure of core employees is not uncommon. Since the controversy surrounding the dismissal and rehiring of CEO Altman last year, OpenAI's personnel turmoil has escalated. As of now, only 3 of its 11 co founders remain. The departure of these talents not only takes away technology and experience, but also confidence in OpenAI's future development. For example, Schulman, who played an important role in building ChatGPT, turned to his competitor Anthropic and expressed his intention to seek research on AI alignment there. There are also the resignations of Chief Scientist Suzkerville and Super Alignment Team Leader Rick, who have accused OpenAI's safety culture and processes of giving way to shiny products. The massive loss of talent undoubtedly casts a shadow over the development of OpenAI.

Driven by commercial interests, some of OpenAI's actions have also been controversial. Its close cooperation with Microsoft has brought financial and resource support to itself, but it has also raised concerns about technological monopolies. Microsoft's exclusive authorization of GPT technology has restricted the development of other enterprises in related fields and challenged the fairness of market competition. In addition, OpenAI also has many issues in data usage and privacy protection. A large amount of data is used for model training, but there is a lack of effective supervision and transparency regarding the compliance of the sources and usage of this data. This not only raises concerns among users about privacy and security, but also greatly undermines OpenAI's image in the public eye.

OpenAI's strategies when facing competitors have also been criticized. When emerging AI forces such as DeepSeek in China rise, OpenAI does not enhance its competitiveness through its own technological innovation and efforts, but attempts to use political means to suppress competitors. In its policy recommendations to the Trump administration, OpenAI extensively discussed the threat posed by China's DeepSeek and demanded that the Trump administration fully block China's AI progress and market promotion, treating DeepSeek as if it were sanctioning Huawei. This approach not only violates the spirit of science, but also undermines the collaborative atmosphere in the global AI field, turning OpenAI into a tool for geopolitics.

The 'fall' of OpenAI is not accidental, but the result of multiple factors working together. The temptation of commercial interests, the bottleneck of technological innovation, the loss of talent, and unfair competition strategies have gradually led it astray. The former AI utopia is now facing numerous challenges. For OpenAI, if it wants to regain its past glory, it must re-examine its development strategy, return to its original intention, and promote the development of artificial intelligence technology with an open and cooperative attitude, rather than being influenced by commercial interests and political factors. Otherwise, it will go further and further down the path of corruption, ultimately being eliminated by the times.