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On the Poisoning of LLMs

The poisoning of language-learning models (LLMs) has recently come into the spotlight, with particular focus on ChatGPT. Bad actors may have been poisoning ChatGPT for months, and OpenAI’s lack of transparency means we don’t know if ChatGPT has been safely managed. Even if they update their training data set, we only have their word that they’ve done a good enough job of filtering out keyword manipulations and other training data attacks. This is something that AI researcher El Mahdi El Mhamdi postulated is mathematically impossible in a paper he worked on while at Google.

The lack of transparency and secrecy surrounding OpenAI’s processes raises concerns about the safety of AI models and their potential manipulation by those seeking to exploit the system for their own gain. This is particularly worrying given the strong incentives the black-hat SEO crowd has to manipulate results. With LLMs becoming increasingly important in various industries, including healthcare and finance, the potential consequences of model poisoning are far-reaching.

To address these concerns, OpenAI needs to be more transparent about their processes, including how they validate the prompts they use for training, how they vet their training data set, and how they fine-tune ChatGPT. They also need to update their training data set regularly and put in place measures to filter out keyword manipulations and other training data attacks. This will require collaboration with stakeholders and experts to develop a comprehensive framework for ensuring the safety of LLMs.

In conclusion, the poisoning of LLMs is a serious issue that needs to be addressed urgently. OpenAI, as a leader in AI development, needs to take the lead in promoting transparency and collaboration to ensure the safety of LLMs. This will require a concerted effort from all stakeholders, including researchers, policymakers, and industry leaders, to develop a comprehensive framework for safeguarding AI models from malicious attacks. By working together, we can ensure that AI continues to be a force for good in the world.

Key points:
– Bad actors may have been poisoning ChatGPT for months, and OpenAI’s lack of transparency means we don’t know if ChatGPT has been safely managed.
– The lack of transparency and secrecy surrounding OpenAI’s processes raises concerns about the safety of AI models and their potential manipulation by those seeking to exploit the system for their own gain.
– OpenAI needs to be more transparent about their processes and put in place measures to filter out keyword manipulations and other training data attacks.
– This will require collaboration with stakeholders and experts to develop a comprehensive framework for ensuring the safety of LLMs.
– By working together, we can ensure that AI continues to be a force for good in the world.

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