Quoting Forbes, the operating expenses or inference costs of ChatGPT

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’s large language models far exceed the training costs when deploying any reasonably sized model. In fact, ChatGPT’s inference costs per week It will all exceed the cost of training. Investment: According to foreign media The Information, at the beginning of the year, OpenAI invested in at least companies through a US$ million venture fund supported by Microsoft and other investors. Its accelerator Converge invested in companies. Light Cone Intelligence also found that in the first half of this year,


OpenAI made public investments in the name Germany Telegram Number Data of companies three times. Before it, it was Microsoft, Google, and Nvidia, a number of established companies. Acquisition: On August , OpenAI announced the acquisition of a game company called Global Illumination. It is reported that this is OpenAI’s first public acquisition since its founding in According to public information, since the establishment of OpenAI, it has received more than billion US dollars in investment alone, which is used to fill the hole of highcost





training and development of large models. To reach the destination of AGI, OpenAI does need money, but burning money is like a bottomless pit, and bleeding may not bring growth. It is precisely because of this that OpenAI must speed up the commercialization process. But having revenue does not mean turning a profit. Founder Securities has carefully calculated the relevant indicators of ChatGPT based on public data. The analysis pointed out: The general logic of OpenAI’s profitability is to increase the GPT payment ratio and reduce the cost of GPT The latter is OpenAI’s main cost source. Under the