ChainCatcher news, according to CNBC, despite increasing competition, OpenAI's development still seems to be rapid. OpenAI's Chief Operating Officer Brad Lightcap stated that as of February this year, the company had 400 million weekly active users, a 33% increase from 300 million in December. Lightcap pointed out that the growth in user numbers is "natural" as ChatGPT becomes more practical and familiar to a broader audience.Lightcap added, "Overall, people do want these tools, and they see these tools as really valuable." This effect has also spread to its growing enterprise business.Lightcap stated that the company now has 2 million paid enterprise users, roughly double that of September. According to Lightcap, developer traffic has also doubled in the past six months, with traffic for its "reasoning" model GPT-3 increasing fivefold.

According to ChainCatcher news and a blog post from the AI development platform HumanLoop, OpenAI CEO Sam Altman stated in a closed-door seminar that OpenAI is currently severely limited by GPU availability, causing them to delay many short-term plans. Most issues regarding the reliability and speed of ChatGPT are due to the shortage of GPU resources.Sam Altman also shared OpenAI's recent roadmap: in 2023, they will reduce the cost of the GPT-4 API; a longer ChatGPT context window (up to 1 million tokens) will be available, and there will be a future API version that remembers conversation history; the multimodal capabilities of GPT-4 will not be publicly available until 2024, as they cannot scale the visual version of GPT-4 to everyone until they acquire more GPU resources.Additionally, OpenAI is considering open-sourcing GPT-3. One reason they have not done so yet is that they believe not many individuals and companies are capable of properly managing such a large language model. The recent claims in many articles that "the era of giant AI models is over" are incorrect. Internal data from OpenAI indicates that the law of scale being proportional to performance still holds, and the scale of OpenAI's models may double or triple each year (various sources indicate that GPT-4 has a parameter scale of 1 trillion), rather than increasing by many orders of magnitude. (Source link)