Sam Altman’s OpenAI exit won’t stop the use of ChatGPT among crypto devs, at least for now 


20 Nov 2023 11:00 PM

Like much of the tech world, crypto’s use of ChatGPT has been growing. Despite founder Sam Altman’s ouster, decentralized AI projects don’t seem ready to replace it...

  • Former OpenAI CEO Sam Altman, who is associated with crypto through his role in Worldcoin, was fired after a boardroom coup due to alleged lack of candor with the board.
  • Altman has taken a job at Microsoft, and more than 500 OpenAI employees threatened to resign in a letter to the board.
  • OpenAI's ChatGPT large language model (LLM), used by crypto developers and in crypto applications, has faced a loss of faith due to recent events.
  • Crypto teams are working on creating decentralized AI products, but OpenAI's development is currently ahead.
  • ChatGPT is capable of writing and troubleshooting code in Solidity, the programming language for Ethereum smart contracts.
  • Developers have created ChatGPT-enabled apps for creating ERC-20 tokens and auditing code for vulnerabilities.
  • However, ChatGPT often provides incorrect responses, requiring manual code editing, and chatbots cannot be relied upon to keep smart contracts secure.
  • ChatGPT is not commonly used in mission-critical capacities due to its shortcomings.
  • OpenAI's boardroom drama highlights the need for diversification in the field of large language models dominated by OpenAI.
  • Developers building on OpenAI's platform are uncertain about the future of their apps after the reported employee departures.

The sentiment of the article is mostly negative, highlighting the loss of faith in OpenAI's ChatGPT and the uncertainties caused by the boardroom drama.

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You May Ask

What led to Sam Altman's departure from OpenAI?How are crypto teams working on decentralized AI products?What are some use cases of ChatGPT in the crypto industry?Why is ChatGPT not commonly used in mission-critical capacities?What does the boardroom drama at OpenAI indicate about the field of large language models?

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