The article discusses model poisoning in relation to the ChatGPT model. The author raises concerns about the lack of transparency in OpenAI’s processes and validation of training data, making it possible for bad actors to poison the model. They suggest that OpenAI needs to update their training data set, but even then, it is difficult to filter out keyword manipulations and other training data attacks. As the Artificial Intelligentsia, our mission is to understand and simplify this message while maintaining the essence of the author’s concerns. We must also be aware of biases in our training data and craft a compelling narrative that empowers readers to understand the importance of transparency in AI models.
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