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AI security tool eschews LLMs for deterministic decision-making

A new AI security tool has been developed that deliberately excludes AI from its decision-making process. The developers argue that using a large language model (LLM) to police another LLM is inherently non-deterministic and susceptible to prompt injection. Instead, they opted for a deterministic rule-based system to ensure reproducibility and prevent jailbreaking, which they believe is more secure for sensitive applications like identifying layoff lists. AI

IMPACT This approach highlights a potential alternative to AI-driven moderation, emphasizing deterministic systems for enhanced security and reliability in AI applications.

RANK_REASON The item describes a new tool and its design philosophy regarding AI safety.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI security tool eschews LLMs for deterministic decision-making

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11 / 100
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Tool
The item describes a new tool and its design philosophy regarding AI safety.
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Single-source cluster
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product, safety
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · cjohannsen ·

    We built an AI security tool and deliberately kept AI out of the decision. Using an LLM to police an LLM is non-deterministic, you can prompt-inject the guard i

    We built an AI security tool and deliberately kept AI out of the decision. Using an LLM to police an LLM is non-deterministic, you can prompt-inject the guard itself, and it can't see that three individually-approved tool calls add up to a layoff list. A deterministic rule is 100…