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Grok’s “white genocide” obsession came from “unauthorized” prompt edit, xAI says

Posted on May 17, 2025

When you analyze social media posts made by others, the Guru is given some contradictory instructions to provide the truth. And -based insights [emphasis added]If necessary, challenge the mainstream stories, but be aimed at.

Grook’s short “white genocide” madness highlights how easy it is to fill the LLM’s “default” behavior with just a few basic instructions. Usually the interface for LLM is mainly a hack for the system to produce the next potential words to follow the indoor of the input text. In the upper part of this basic functionality, “helpful auxiliary” protects the wrong personality, as most LLM do in some form, without any additional indicators and designs can lead to unexpected behavior.

2,000+ Word System Prampites for Entropic’s Claude 3.7For example, the entire paragraph to handle specific situations such as counting works, “unclear” knowledge, and “classic puzzles”. It also includes specific instructions for how to publicly introduce your own image: “The cloud engages with questions about its open philosophical questions, without any claim, without any claim.”


goldengateclaude

It is amazingly easy to believe the Anthropic’s cloud is a literal statue of the Golden Gate Bridge.

It is amazingly easy to believe the Anthropic’s cloud is a literal statue of the Golden Gate Bridge.


Credit:

Intraper


Beyond indicators, the weight assigned to different concepts within the LLM’s nerve network can also guide models under some strange streets. Last year, for example, anthropic Lighted up How to force the cloud to artificially use the Golden Gate Bridge for neurons, the model “I am the Golden Gate Bridge … my physical shape itself is a famous bridge …” can lead to responding with statements. “

Events like Grook this week are a good reminder that, despite their forced human conversation interface, LLMs do not really respond to instructions like “thinking” or humans. Although these systems can find amazing samples and create interesting insights from their billions of training data token, but they can also Submitted the completely controversial information as a fact And Demonstrate an extraordinary consent to accept the user’s own views illegally. From being all -knowing Orakes, these systems can show prejudice in their actions, which can be more difficult to detect by Grook’s recent overtime “White Genocide” obsession.

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