Opus 4.7 knows the real Kelsey (theargumentmag.com)

Article summary

The article discusses how the Opus 4.7 model was able to identify the author of a piece of text, Kelsey Piper, despite efforts to remain anonymous. The model's ability to deanonymize the author has raised concerns about privacy and the potential for AI to identify individuals based on their writing style. The article's details are not available, but the comments suggest that the model's ability to identify the author was unexpected and has implications for online anonymity. The comments also discuss potential methods for defending against such identification, including using local models to transform text before posting.

Main themes

• AI deanonymization
• online privacy
• stylometry
• language models
• anonymity defense
• transparent society

What commenters say

• Some argue that models will eventually be able to deanonymize anyone, making privacy a thing of the past.
• Others suggest that it may be possible to confound such systems defensively, but this could come at the cost of destroying one's tone and style.
• There is disagreement over whether writing in a non-native language would make it easier or harder for models to identify an author.
• Some propose using AI to rewrite posts in a neutral style to maintain anonymity, while others think this would be ineffective or undesirable.
• A few commenters believe that a world with complete transparency and no privacy could be safe and boring, with crime becoming a non-issue, but others argue that this would be unrealistic and potentially problematic.
• Some think that running a local model with a browser extension could help defend against deanonymization, while others are skeptical of this approach.
• There is also discussion of the potential for models to be used to identify AI-generated text, with some arguing that this would be easier than identifying human authors.