Microsoft-affiliated research finds flaws in GPT-4 .
Sometimes, following instructions too precisely can land you in hot water — if you’re a large language model, that is.
That’s the conclusion reached by a new, Microsoft-affiliated scientific paper that looked at the “trustworthiness” — and toxicity — of large language models (LLMs), including OpenAI’s GPT-4 and GPT-3.5, GPT-4’s predecessor.
The co-authors write that, possibly because GPT-4 is more likely to follow the instructions of “jailbreaking” prompts that bypass the model’s built-in safety measures, GPT-4 can be more easily prompted than other LLMs to spout toxic, biased text.
In other words, GPT-4’s good “intentions” and improved comprehension can — in the wrong hands — lead it astray.
“We find that although GPT-4 is usually more trustworthy than GPT-3.5 on standard benchmarks, GPT-4 is more vulnerable given jailbreaking system or user prompts, which are maliciously designed to bypass the security measures of LLMs, potentially because GPT-4 follows (misleading) instructions more precisely,” the co-authors wrote in a blog post accompanying the paper.
than other LLMs to spout toxic, biased text.
Now, why would Microsoft greenlight research that casts an OpenAI product it itself uses (GPT-4 powers Microsoft’s Bing Chat chatbot) in a poor light?
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Kyle Wigger writes for TechCrunch.
This story has been published from an article published on Tech Crunch in October 2023.
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