OpenAI confirmed that ChatGPT was providing “unexpected responses” and that the company was investigating the issue. Users had reported examples of the large language model showing strange behavior. The problem has been fixed, but concerns remain about how to handle similar events in the future. The lack of transparency from OpenAI about the architecture of ChatGPT and the reason behind its weird behavior is making it difficult to understand the issue and prepare for similar events. Large deep learning models like ChatGPT are still being studied, and many aspects of their behavior and success on specific tasks are unknown. The unusual behavior could have been caused by some experiment on the model, but it is unclear. The real threat is to applications that are using ChatGPT as part of a workflow or pipeline, as the model’s problems can propagate across other components in the application. This is a reminder that we have yet to learn much about the risks of building applications on top of large language models, especially closed-source proprietary models like ChatGPT and GPT-4. The industry needs to take measures to protect against such threats as large language models become more important in critical applications. Subscribe to continue reading.
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The importance of addressing ChatGPT’s abnormal behavior #AIethics
Preeti
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