Pseudpocalypse (dynomight.net)

A new conjecture suggests that all written text on the internet carries a "statistical fingerprint" that can be used to link pseudonymous identities, potentially leading to a "pseudpocalypse." The idea posits the creation of a hypothetical website that, given a new text, could trace all previous writings of an author regardless of pseudonyms, harnessing advancements in large language models (LLMs) that are improving at guessing authorship. As LLMs evolve, the ability to identify authors based on minimal text is expected to grow, posing challenges for pseudonymous blogging and anonymity online. This development is significant for the AI/ML community as it highlights the intersection of information theory and machine learning in author identification. The concept hinges on revealing unique characteristics from writing styles, whereby a modest amount of consistent textual output can disclose enough identifiable traits—equivalent to approximately 29 bits of information—to ascertain an author's identity. The implications of this are profound, raising concerns about privacy, digital identity, and the limitations of anonymity in online interactions as even subtle variations in writing could ultimately compromise one's pseudonym.