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LLM vulnerability discovery depends on prompts, not just model

A user on Mastodon argues that if a large language model (LLM) discovers a software vulnerability, other users employing the same LLM will not necessarily report the identical flaw. The user contends that the specific prompt, context, and parameters like temperature settings significantly influence an LLM's output, leading to varied results even with the same model. AI

IMPACT Highlights the variability in LLM outputs, suggesting that AI-driven vulnerability discovery may not be as standardized as initially assumed.

RANK_REASON User opinion piece on LLM behavior.

Read on Mastodon — mastodon.social →

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

LLM vulnerability discovery depends on prompts, not just model

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User opinion piece on LLM behavior.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
opinion, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

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

    "Hey, if a LLM finds a vulnerability in a software, and others use the same LLM, they'll report the same vulnerability". Disagree. It depends very much on the p

    "Hey, if a LLM finds a vulnerability in a software, and others use the same LLM, they'll report the same vulnerability". Disagree. It depends very much on the prompt, the context, the parameters of the LLM such as it's temperature etc. # AI # vulnerabilty # research