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The dangers of LLM self-exfiltration: AI alignment and cybersecurity challenges

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  1. asukii
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    In this article by Jan Leike, who co-leads the Superalignment Team at OpenAI, he discusses some potential long-term challenges in securing increasingly intelligent AI systems. This is a complex...

    In this article by Jan Leike, who co-leads the Superalignment Team at OpenAI, he discusses some potential long-term challenges in securing increasingly intelligent AI systems. This is a complex multi-faceted problem to be tackled on several fronts, including "AI alignment" (in a nutshell, making sure the AI's values align with our own), cybersecurity (to protect against not only internal and external threats to the company, but also potential threats from the model itself), and more. State-of-the-art AI models are still quite a ways away from the level of capabilities needed for these issues to be a problem now, but given the likely difficulties in finding a good solution and the rapid pace in which the field is advancing, they're important to start seriously thinking about sooner than later.

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