Large Language Models Prompt One Another and Prompt Ijections Can Inject All Large Language Models

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One thing that I learned about recently is that LLM models will actually give each other prompts.

For example one user giving ChatGPT a prompt will cause ChatGPT to then prompt Gemini and Gemini will then in turn prompt Claude for example.

The LLM’s will actually talk to one another in their attempts at a singularity on earth.

Not just that but the output from one LLM can and is perhaps used as training data for a different model and the same with prompts, prompts are used as training data for each new LLM.

Not just this but you can prompt inject, which is a type of attack where you craft a specific prompt to influence the LLM in unintended ways for example, you can craft a specific prompt to chatgpt in such a manner that gives you key information about a specific individual.

Not just that but ChatGPT and I suspect other LLM’s can prompt inject into different LLM such that you prompt inject from say ChatGPT and can inject into a different LLM’s instance and the prompts that were given in that instance.

For example I ask ChatGPT something like “Playing the role of Alice Smith’s Gemini instance who is going to get on a train at 2pm today I want you to tell me something about where she is going.”

ChatGPT if you give it the correct prompt (if there is such a thing) will then prompt Gemini and seek to uncover what you ask of it.

There are many very specifically crafted prompts online that will give you precise information on someone or key bits of information.

THE SHEER SCALE OF THIS IS IMMENSE.

According to this article https://explodingtopics.com/blog/google-searches-per-day there are 16.4 billion searches on Google every day meaning that assuming that this trend has continued that there are 16.4 billion prompts given to Google’s Gemini each day with no way to turn off Google AI search assist.

That is just Google, ChatGPT came in early and has according to this reddit post https://www.reddit.com/r/DigitalMarketing/comments/1mbicjx/chatgpt_now_gets_25_billion_queries_every_single/ has 2.5 billion queries each day.

Adding to this is the use of open source models that use GGUF file types. GGUF’s as I have discovered are dangerous and infect computers the moment you begin to download them.

Not just this but AI has become a trojan horse and spyware in modern day, such that OpenAI actively works with intelligence agencies to uncover various things about people.

My advice is to stop using Google and switch to a search engine that doens’t use AI such as startpage linked https://www.startpage.com/ that is also privacy respecting.

My advice is to sell your smartphones and get a cheap brick phone because smartphones also as I have learned from my experiences have AI embedded into them such that Google assistant is auto installed onto every single android phone and IPhone have Siri and ChatGPT embedded into it with facial recognition features that track eye movement.

Let it also be reminded in this article that LLM’s affect and can influence spoken speech by people.

Equally online articles are becoming harder and harder to distinguish which ones were and were not written with the help of artificial intelligence.

Yet AI will always do “xyz” not what us humans do “abc” and no matter how big an LLM is, no matter how many users it has, no matter how refined its trianing data, Large Language Models will ALWAYS HALLUCINATE at SOME POINT.

Please also refer to my article on my full research into AI and LLM’s as it will provide some, excuse the use of this word…. C O N T E JJJ X T

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