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Ask HN: Is the world ready for the inevitable ChatGPT rug pull?

Aug 16, 2023 - news.ycombinator.com
The article discusses the ongoing global race to acquire vector math hardware and its manufacturing capabilities, with /r/localllama and various enterprises working to prevent OpenAI from monopolizing the AI space. The author argues that while OpenAI currently leads the market, it's impractical for most to run a 1.7 trillion parameter model on owned hardware. However, OpenAI is catalyzing a movement where hundreds of thousands of people have been able to run a 13 billion parameter model on consumer hardware.

The author is not overly concerned about OpenAI monopolizing the AI space or an AI revolution happening too quickly. They believe that Language Learning Models (LLMs) perform best on owned hardware and that this technology should not be centralized in the long term. They also suggest that the pace of AI development is not alarmingly fast.

Key takeaways:

  • There is a global competition to acquire vector math hardware and its manufacturing capabilities, as it is crucial for AI development.
  • OpenAI currently holds a market leading position in AI technology, but the technology is not practical to be centralized in the long term.
  • Despite the impracticality, OpenAI is catalyzing a movement where hundreds of thousands of people have been able to run finely-tuned AI models on consumer hardware.
  • The author is not overly concerned about an abrupt end to OpenAI's dominance or a rapid AI revolution at the current pace.
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