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ChatGPT In Trouble: OpenAI may go bankrupt by 2024, AI bot costs company $700,000 every day

Aug 13, 2023 - firstpost.com
OpenAI, the AI development studio led by Sam Altman, is reportedly facing significant financial difficulties. The company's AI chatbot, ChatGPT, costs approximately $700,000 per day to run, leading to substantial cash burn. Despite attempts to monetize GPT-3.5 and GPT-4, OpenAI is not generating enough revenue to break even. The company's user base has also been declining, with a 12% drop in July 2023 alone. Furthermore, many companies are opting to use open-source LLM models that are free and customizable, rather than OpenAI's paid and restricted version.

OpenAI's shift towards profitability has led to conflicts with Altman, who has publicly stated that unregulated AI could be disastrous. The company's losses have reached $540 million since the development of ChatGPT, and while investments from Microsoft and other venture capital firms have kept it afloat, its ambitious revenue projections seem unlikely given its current losses. Staffing issues and high attrition rates are also a concern. Additionally, the ongoing shortage of enterprise-level GPUs is hindering the company's ability to enhance and train new models, leading to a drop in ChatGPT's output quality.

Key takeaways:

  • OpenAI, the AI development studio known for its AI chatbot ChatGPT, is reportedly facing financial difficulties, with daily costs to run ChatGPT reaching $700,000 and not enough revenue being generated to break even.
  • The user base for OpenAI and ChatGPT has been in decline, with many companies opting to create their own AI chatbots using OpenAI's APIs or free-to-use open-source LLM models.
  • There is a conflict between OpenAI's push for profitability and Sam Altman's public statements about the potential dangers of unregulated AI. Despite this, OpenAI continues to seek ways to monetize its GPT-4 LLMs, but has not yet achieved profitability.
  • OpenAI is also facing staffing issues, with top talent being poached by competitors, and the ongoing shortage of enterprise-level GPUs is hindering the company's ability to enhance and train new models.
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