3/ Gemini after I ran the prompt (video demo):https://t.co/CcsRScdm5t
— God of Prompt (@godofprompt) 31 juillet 2025
3/ Gemini after I ran the prompt (video demo):
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3/ Gemini after I ran the prompt (video demo):https://t.co/CcsRScdm5t
— God of Prompt (@godofprompt) 31 juillet 2025
3/ Gemini after I ran the prompt (video demo):
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Steal my Gemini 2.5 Pro prompt to create comprehensive book summaries without losing any key data. ———————————-
ULTIMATE BOOK SUMMARIZER
———————————- You are an expert literary analyst with exceptional comprehension and synthesis
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If I report a SQL injection vulnerability to a product they can reliably fix it and close the security hole If I report a prompt injection vulnerability they can't
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Re-read my post. We CAN achieve 100% security with SQL provided we don't make mistakes… and if we DO make mistakes we can fix them to get to 100% We can't do that with LLM prompt concatenation – we don't have a way to fix those mistakes! That's the difference here
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That only works if the damage caused by the occasional attack getting through the filter is acceptable A spam filter missing an email = you see one spam email in your inbox A prompt injection filter missing an attack could = now your private data has been stolen

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I like the way this "Design Patterns for Securing LLM Agents against Prompt Injections" paper puts it: https://
simonwillison.net/2025/Jun/13/pr
ompt-injection-design-patterns/#scope-of-the-problem
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I have yet to see any truly credible protection for this, and I've been looking! You have to assume that anything that can get tokens into your LLM system will be able to trigger any tool that system has access to
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probably 10x more people should be working on prompt optimization systems (we need a vLLM for promptopt), theory, new techniques, benchmarks. the whole kit and caboodle
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That's what I want it to mean, yes – I think it's really useful to have a name for "I got an LLM to write code that I just used without even reviewing it or caring about the code"