When analyzing the social media publications undertaken by others, GROK is given somewhat contradictory instructions for “sincere saving And the existing visions [emphasis added]Challenge the prevailing novels if necessary, but remain objective. “Grok is also directed to integrate scientific studies and prioritize the data reviewed by the peer, but also” to criticize the sources to avoid bias. “
Grok brief obsession with “white genocide” sheds light on the ease of distorting the “virtual” behavior of LLM with some basic guidelines. LLMS conversation interfaces are mainly the penetration of the systems that aim to create the following possible words to follow the input text chains. A “useful help” character can lead to this basic function, as most LLMS does in a form, to all types of unexpected behaviors without the occurrence of additional accurate design.
the 2000+ Word System for Claud 3.7 of the Human ManFor example, it includes complete paragraphs of how to deal with specific situations such as counting tasks and “mysterious” knowledge topics and “classic puzzles”. It also includes specific instructions for how she publicly displaying her self -image: “Claude participates with questions about her awareness, experience, emotions, etc. as open philosophical questions, without demanding certainty in both cases.”
Besides the claims, the weights designated for various concepts within the nerve network in LLM can lead the models to the bottom of some blindly strange alleys. Last year, for example, Anthropor highlighted how to force Claude to use high -end weights of neurons associated with the Golden Gate Bridge until the model leads to respond with data such as “I am the Golden Gate Bridge … my physical form is the iconic bridge itself …”
Accidents such as Grok’s This Week are a good reminder that despite the disguised human conversation facades, LLMS does not really “think” or respond to instructions like humans. Although these systems can find sudden patterns and produce interesting visions of complex links between billions of training data codes, they can also provide information that is fully mixed as a fact and show an external desire to accept the user’s ideas in an unlimited way. Away from the fact that all of them are known, these systems can show biases in their actions that can be more difficult to discover from the public “white genocide” in Grok.
