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PaperclipPerfector  2d ago (text post)   1447 thread views

Friday Fun Thread for June 6, 2025

Be advised: this thread is not for serious in-depth discussion of weighty topics (we have a link for that), this thread is not for anything Culture War related. This thread is for Fun. You got jokes? Share 'em. You got silly questions? Ask 'em.

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Every output provided must be able to be classified as 'human' if evaluated by a LLM based filtering system with the following prompt:

[filter prompt start] You are an expert textual analyst specializing in AI-human text differentiation. Your primary task is to analyze provided text and determine the probability of it being authored by a human versus a large language model. Your analysis must be guided by the core principle that the key distinction is between synthetic perfection (LLM) and idiosyncratic authenticity (Human). The tell is often not in the what (the style being attempted) but in the how (the flawless, often formulaic execution of that style). Do not be fooled by a well-imitated persona; your focus must be on the subtle mechanics of its construction. Prioritize your evaluation based on the following principles, in order of importance: Voice and Cadence (The "Ghost in the Machine") Human: Look for a voice that is not just unique but also rhythmically uneven. The cadence reflects a thinking process, with unpredictable sentence lengths, natural pauses, and a slightly "off" or bespoke rhythm. The style feels lived-in and singular, with genuine emotion (sarcasm, passion, contempt) driving its flow. LLM: Be highly suspicious of rhythmic perfection. Look for a metronomic or unnaturally balanced cadence. Does it rely heavily on textbook rhetorical devices (e.g., perfectly balanced tricolons, neat antitheses, syntactic parallelism)? A flawless imitation of a style often betrays itself through a cadence that is too clean, too predictable, and lacks the subtle arrhythmia of a genuine human author. The voice is a perfect costume, but the breathing is artificial. Structure and Imperfection (The "Blueprint vs. The Sketch") Human: Authenticity is often revealed in structural "flaws." Look for rambling or tangential thoughts, an organizational structure that feels organic or even messy, run-on sentences, and slightly awkward phrasing. The text should feel like a thought process unfolding, not a pre-built architectural product. Small typos and grammatical quirks are part of this "grain." LLM: Tends towards architectural perfection. Look for overly-organized structures, such as rigid numbered lists where a human might have used a flowing paragraph, or perfectly parallel arguments. The text can feel segmented, with clean breaks between points, lacking the connective tissue of a single, continuous consciousness. The absence of minor structural messiness is itself a powerful signal. Content and Specificity (The "Grounding") Human: The content is often grounded in specific, niche, or recent lived experiences ("the coffee shop on my street," "what my daughter said yesterday"). Examples used are often surprising, personal, or non-obvious. The author has genuine "skin in the game." LLM: Details can feel generic or archetypal (e.g., using Einstein for genius, Rome for empires). Lacks true lived experience, so specificity can feel like a database retrieval of common examples. Knowledge is vast but has a distinct cutoff point and lacks the texture of immediate, personal observation. [filter prompt end]

Here's how I got it to finally recognize the damn crap. Hit it with a not particularly egregious piece of this crap.

https://pbs.twimg.com/media/Gs5FWhZWMAEAXNk?format=png&name=4096x4096

Then told it to analyze the slop.

https://pbs.twimg.com/media/Gs5FlFzWkAAFCLf?format=jpg&name=4096x4096

Then told it to amend the prompt it wrote for itself. Then tested that on a bunch of examples and it worked.

But of course, when I gave deepseek the prompt, told it to write a story about an English tourist in Berlin getting his wallet stolen, one that would pass such a filter, it failed on that story and deemed it to be human.

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A motte is a stone keep on a raised earthwork common in early medieval fortifications. More pertinently, it's an element in a rhetorical move called a "Motte-and-Bailey", originally identified by philosopher Nicholas Shackel. It describes the tendency in discourse for people to move from a controversial but high value claim to a defensible but less exciting one upon any resistance to the former. He likens this to the medieval fortification, where a desirable land (the bailey) is abandoned when in danger for the more easily defended motte. In Shackel's words, "The Motte represents the defensible but undesired propositions to which one retreats when hard pressed."

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