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add-llm-pr
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llm-prose-
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# LLM Prose Tells
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# LLM Prose Tells
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All of these show up in human writing occasionally. No single one is conclusive
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All of these show up in human writing occasionally. No single one is conclusive
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on its own. The difference is concentration — a person might lean on one or two
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on its own. The difference is concentration. A person might lean on one or two
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of these habits across an entire essay, but LLM output will use fifteen of them
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of these habits across an entire essay, but LLM output will use fifteen of them
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per paragraph, consistently, throughout the entire piece.
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per paragraph, consistently, throughout the entire piece.
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@@ -16,10 +16,20 @@ A negation followed by an em-dash and a reframe.
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> "It's not just a tool—it's a paradigm shift." "This isn't about
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> "It's not just a tool—it's a paradigm shift." "This isn't about
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> technology—it's about trust."
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> technology—it's about trust."
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The single most recognizable LLM construction. Models produce this at roughly
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The single most recognizable LLM construction. Models produce this at roughly 10
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10–50x the rate of human writers. Four of them in one essay and you know what
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to 50x the rate of human writers. Four of them in one essay and you know what
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you're reading.
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you're reading.
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### Em-Dash Overuse Generally
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Even outside the "not X but Y" pivot, models use em-dashes at far higher rates
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than human writers. They substitute em-dashes for commas, semicolons,
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parentheses, colons, and periods, often multiple times per paragraph. A human
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writer might use one or two in an entire piece for a specific parenthetical
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effect. Models scatter them everywhere because the em-dash can stand in for any
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other punctuation mark, so they default to it. More than two or three per page
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is a meaningful signal on its own.
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### The Colon Elaboration
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### The Colon Elaboration
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A short declarative clause, then a colon, then a longer explanation.
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A short declarative clause, then a colon, then a longer explanation.
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@@ -27,15 +37,15 @@ A short declarative clause, then a colon, then a longer explanation.
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> "The answer is simple: we need to rethink our approach from the ground up."
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> "The answer is simple: we need to rethink our approach from the ground up."
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Models reach for this in every other paragraph. The construction is perfectly
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Models reach for this in every other paragraph. The construction is perfectly
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normal; the frequency gives it away.
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normal. The frequency gives it away.
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### The Triple Construction
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### The Triple Construction
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> "It's fast, it's scalable, and it's open source."
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> "It's fast, it's scalable, and it's open source."
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Three parallel items in a list, usually escalating. Always exactly three. Rarely
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Three parallel items in a list, usually escalating. Always exactly three (rarely
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two. Never four. Strict grammatical parallelism that human writers rarely bother
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two, never four) with strict grammatical parallelism that human writers rarely
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maintaining.
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bother maintaining.
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### The Staccato Burst
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### The Staccato Burst
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@@ -48,12 +58,11 @@ at matching length creates a mechanical regularity that reads as generated.
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### The Two-Clause Compound Sentence
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### The Two-Clause Compound Sentence
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This might be the single most pervasive structural tell, and it's easy to miss
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Possibly the most pervasive structural tell, and easy to miss because each
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because each individual instance looks like normal English. The model produces
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individual instance looks like normal English. The model produces sentence after
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sentence after sentence in the same shape: an independent clause, a comma, a
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sentence where an independent clause is followed by a comma, a conjunction
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conjunction ("and," "but," "which," "because"), and a second independent clause
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("and," "but," "which," "because"), and a second independent clause of similar
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of similar length. Over and over. Every sentence is two balanced halves joined
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length. Every sentence becomes two balanced halves joined in the middle.
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in the middle.
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> "The construction itself is perfectly normal, which is why the frequency is
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> "The construction itself is perfectly normal, which is why the frequency is
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> what gives it away." "They contain zero information, and the actual point
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> what gives it away." "They contain zero information, and the actual point
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@@ -63,24 +72,24 @@ in the middle.
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Human prose has sentences with one clause, sentences with three, sentences that
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Human prose has sentences with one clause, sentences with three, sentences that
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start with a subordinate clause before reaching the main one, sentences that
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start with a subordinate clause before reaching the main one, sentences that
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embed their complexity in the middle. When every sentence on the page has the
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embed their complexity in the middle. When every sentence on the page has that
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same two-part comma-conjunction-comma structure, the rhythm becomes monotonous
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same two-part structure, the rhythm becomes monotonous in a way that's hard to
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in a way that's hard to pinpoint but easy to feel.
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pinpoint but easy to feel.
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### Uniform Sentences Per Paragraph
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### Uniform Sentences Per Paragraph
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Model-generated paragraphs contain between three and five sentences, and this
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Model-generated paragraphs contain between three and five sentences. This count
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count holds steady across an entire piece. If the first paragraph has four
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holds steady across an entire piece. If the first paragraph has four sentences,
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sentences, every subsequent paragraph will too. Human writers are much more
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every subsequent paragraph will too. Human writers are much more varied (a
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varied — a single sentence followed by one that runs eight or nine — because
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single sentence followed by one that runs eight or nine) because they follow the
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they follow the shape of an idea, not a template.
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shape of an idea, not a template.
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### The Dramatic Fragment
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### The Dramatic Fragment
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Sentence fragments used as standalone paragraphs for emphasis, like "Full stop."
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Sentence fragments used as standalone paragraphs for emphasis, like "Full stop."
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or "Let that sink in." on their own line. Using one in an entire essay is a
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or "Let that sink in." on their own line. Using one in an entire essay is a
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reasonable stylistic choice, but models drop them in once per section or more,
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reasonable stylistic choice, but models drop them in once per section or more,
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at which point it stops being deliberate and becomes a habit.
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at which point it becomes a habit rather than a deliberate decision.
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### The Pivot Paragraph
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### The Pivot Paragraph
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@@ -115,9 +124,9 @@ still says everything it needs to, the contrast was filler.
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> "So what does this mean for the average user? It means everything."
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> "So what does this mean for the average user? It means everything."
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A rhetorical question immediately followed by its own answer. Models lean on
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A rhetorical question immediately followed by its own answer. Models do this two
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this two or three times per piece because it generates the feeling of forward
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or three times per piece because it fakes forward momentum. A human writer might
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momentum without requiring any actual argument. A human writer might do it once.
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do it once.
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---
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---
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@@ -173,9 +182,8 @@ out to the civilizational scale before they've said anything specific.
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> "While X has its drawbacks, it also offers significant benefits."
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> "While X has its drawbacks, it also offers significant benefits."
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Every argument followed by a concession, every criticism softened. A direct
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Every argument followed by a concession, every criticism softened. A direct
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artifact of RLHF training, which penalizes strong stances. The result is a model
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artifact of RLHF training, which penalizes strong stances. Models reflexively
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that reflexively both-sides everything even when a clear position would serve
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both-sides everything even when a clear position would serve the reader better.
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the reader better.
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### The Throat-Clearing Opener
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### The Throat-Clearing Opener
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@@ -230,18 +238,19 @@ natural disaster. That interchangeability is what makes it identifiable.
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If the first section of a model-generated essay runs about 150 words, every
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If the first section of a model-generated essay runs about 150 words, every
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subsequent section will fall between 130 and 170. Human writing is much more
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subsequent section will fall between 130 and 170. Human writing is much more
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uneven — 50 words in one section, 400 in the next.
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uneven, with 50 words in one section and 400 in the next.
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### The Five-Paragraph Prison
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### The Five-Paragraph Prison
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Model essays follow a rigid introduction-body-conclusion arc even when nobody
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Model essays follow a rigid introduction-body-conclusion arc even when nobody
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asked for one. Introduction previews the argument. Body presents 3–5 points.
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asked for one. The introduction previews the argument, the body presents 3 to 5
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Conclusion restates the thesis in different words.
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points, and then the conclusion restates the thesis using slightly different
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words.
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### Connector Addiction
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### Connector Addiction
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Look at the first word of each paragraph in model output. You'll find an
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Look at the first word of each paragraph in model output. You'll find an
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unbroken chain of transition words — "However," "Furthermore," "Moreover,"
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unbroken chain of transition words: "However," "Furthermore," "Moreover,"
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"Additionally," "That said," "To that end," "With that in mind," "Building on
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"Additionally," "That said," "To that end," "With that in mind," "Building on
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this." Human prose moves between ideas without announcing every transition.
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this." Human prose moves between ideas without announcing every transition.
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@@ -253,8 +262,8 @@ obscure idiom without explaining it, make a joke that risks falling flat, leave
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a thought genuinely unfinished, or keep a sentence the writer liked the sound of
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a thought genuinely unfinished, or keep a sentence the writer liked the sound of
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even though it doesn't quite work.
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even though it doesn't quite work.
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Human writing does all of those things. The total absence of rough edges, false
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Human writing does all of those things regularly. That total absence of rough
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starts, and odd rhythmic choices is one of the strongest signals that text was
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patches and false starts is one of the strongest signals that text was
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machine-generated.
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machine-generated.
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---
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---
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@@ -277,9 +286,9 @@ verbal tics before a qualification the model believes someone expects.
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### The Metaphor Crutch
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### The Metaphor Crutch
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Models rely on a small, predictable set of metaphors — "double-edged sword,"
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Models rely on a small, predictable set of metaphors ("double-edged sword," "tip
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"tip of the iceberg," "north star," "building blocks," "elephant in the room,"
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of the iceberg," "north star," "building blocks," "elephant in the room,"
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"perfect storm," "game-changer" — and reach for them with unusual regularity
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"perfect storm," "game-changer") and reach for them with unusual regularity
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across every topic. The pool is noticeably smaller than what human writers draw
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across every topic. The pool is noticeably smaller than what human writers draw
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from.
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from.
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@@ -291,11 +300,11 @@ No single pattern on this list proves anything by itself. Humans use em-dashes.
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Humans write "crucial." Humans ask rhetorical questions.
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Humans write "crucial." Humans ask rhetorical questions.
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What gives it away is how many of these show up at once. Model output will hit
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What gives it away is how many of these show up at once. Model output will hit
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10–20 of these patterns per page. Human writing might trigger 2–3, distributed
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10 to 20 of these patterns per page. Human writing might trigger 2 or 3,
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unevenly, mixed with idiosyncratic constructions no model would produce. When
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distributed unevenly, mixed with idiosyncratic constructions no model would
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every paragraph on the page reads like it came from the same careful, balanced,
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produce. When every paragraph on the page reads like it came from the same
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slightly formal, structurally predictable process, it was probably generated by
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careful, balanced, slightly formal, structurally predictable process, it was
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one.
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generated by one.
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---
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---
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@@ -338,86 +347,92 @@ passes, because fixing one pattern often introduces another.
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to the unqualified claim or to drop the sentence entirely. If the claim needs
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to the unqualified claim or to drop the sentence entirely. If the claim needs
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"almost" to be true, it might not be worth making.
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"almost" to be true, it might not be worth making.
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7. Search for em-dashes and replace each one with the punctuation mark that
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would normally be used in that position (comma, semicolon, colon, period, or
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parentheses). If you can't identify which one it should be, the sentence
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needs to be restructured.
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### Pass 2: Sentence-Level Restructuring
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### Pass 2: Sentence-Level Restructuring
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7. Find every em-dash pivot ("not X—but Y," "not just X—Y," "more than X—Y") and
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8. Find every em-dash pivot ("not X...but Y," "not just X...Y," "more than
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rewrite it as two separate clauses or a single sentence that makes the point
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X...Y") and rewrite it as two separate clauses or a single sentence that
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without the negation-then-correction structure.
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makes the point without the negation-then-correction structure.
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8. Find every colon elaboration and check whether it's doing real work. If the
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9. Find every colon elaboration and check whether it's doing real work. If the
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clause before the colon could be deleted without losing meaning, rewrite the
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clause before the colon could be deleted without losing meaning, rewrite the
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sentence to start with the substance that comes after the colon.
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sentence to start with the substance that comes after the colon.
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9. Find every triple construction (three parallel items in a row) and either
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10. Find every triple construction (three parallel items in a row) and either
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reduce it to two, expand it to four or more, or break the parallelism so the
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reduce it to two, expand it to four or more, or break the parallelism so the
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items don't share the same grammatical structure.
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items don't share the same grammatical structure.
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10. Find every staccato burst (three or more short sentences in a row at similar
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11. Find every staccato burst (three or more short sentences in a row at similar
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length) and combine at least two of them into a longer sentence, or vary
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length) and combine at least two of them into a longer sentence, or vary
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their lengths so they don't land at the same cadence.
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their lengths so they don't land at the same cadence.
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11. Find every unnecessary contrast ("whereas," "as opposed to," "unlike," "as
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12. Find every unnecessary contrast ("whereas," "as opposed to," "unlike," "as
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compared to," "except that") and check whether the contrasting clause adds
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compared to," "except that") and check whether the contrasting clause adds
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information not already obvious from the main clause. If the sentence says
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information not already obvious from the main clause. If the sentence says
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the same thing twice from two directions, delete the contrast.
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the same thing twice from two directions, delete the contrast.
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12. Check for the two-clause compound sentence pattern. If most sentences in a
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13. Check for the two-clause compound sentence pattern. If most sentences in a
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passage follow the "[clause], [conjunction] [clause]" structure, rewrite
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passage follow the "\[clause\], \[conjunction\] \[clause\]" structure,
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some of them. Break a few into two sentences. Start some with a subordinate
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rewrite some of them. Break a few into two sentences. Start some with a
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clause. Embed a relative clause in the middle of one instead of appending it
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subordinate clause. Embed a relative clause in the middle of one instead of
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at the end. The goal is variety in sentence shape, not just sentence length.
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appending it at the end. The goal is variety in sentence shape, not just
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sentence length.
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13. Find every rhetorical question that is immediately followed by its own
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14. Find every rhetorical question that is immediately followed by its own
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answer and rewrite the passage as a direct statement.
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answer and rewrite the passage as a direct statement.
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14. Find every sentence fragment being used as its own paragraph and either
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15. Find every sentence fragment being used as its own paragraph and either
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delete it or expand it into a complete sentence that adds actual
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delete it or expand it into a complete sentence that adds actual
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information.
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information.
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15. Find every pivot paragraph ("But here's where it gets interesting." and
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16. Find every pivot paragraph ("But here's where it gets interesting." and
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similar) and delete it. The paragraph after it always contains the actual
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similar) and delete it. The paragraph after it always contains the actual
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point.
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point.
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### Pass 3: Paragraph and Section-Level Review
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### Pass 3: Paragraph and Section-Level Review
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16. Check paragraph lengths across the piece and verify they actually vary. If
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17. Check paragraph lengths across the piece and verify they actually vary. If
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most paragraphs have between three and five sentences, rewrite some to be
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most paragraphs have between three and five sentences, rewrite some to be
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one or two sentences and let others run to six or seven.
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one or two sentences and let others run to six or seven.
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17. Check section lengths for suspicious uniformity. If every section is roughly
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18. Check section lengths for suspicious uniformity. If every section is roughly
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the same word count, combine some shorter ones or split a longer one
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the same word count, combine some shorter ones or split a longer one
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unevenly.
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unevenly.
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18. Check the first word of every paragraph for chains of connectors ("However,"
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19. Check the first word of every paragraph for chains of connectors ("However,"
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"Furthermore," "Moreover," "Additionally," "That said"). If more than two
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"Furthermore," "Moreover," "Additionally," "That said"). If more than two
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transition words start consecutive paragraphs, rewrite those openings to
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transition words start consecutive paragraphs, rewrite those openings to
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start with their subject.
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start with their subject.
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19. Check whether every argument is followed by a concession or qualifier. If
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20. Check whether every argument is followed by a concession or qualifier. If
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the piece both-sides every point, pick a side on at least some of them and
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the piece both-sides every point, pick a side on at least some of them and
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cut the hedging.
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cut the hedging.
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20. Read the first paragraph and ask whether deleting it would improve the
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21. Read the first paragraph and ask whether deleting it would improve the
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piece. If it's scene-setting that previews the argument, delete it and start
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piece. If it's scene-setting that previews the argument, delete it and start
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with paragraph two.
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with paragraph two.
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21. Read the last paragraph and check whether it restates the thesis or uses a
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22. Read the last paragraph and check whether it restates the thesis or uses a
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phrase like "at the end of the day" or "moving forward." If so, either
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phrase like "at the end of the day" or "moving forward." If so, either
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delete it or rewrite it to say something the piece hasn't said yet.
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delete it or rewrite it to say something the piece hasn't said yet.
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### Pass 4: Overall Texture
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### Pass 4: Overall Texture
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22. Read the piece aloud and listen for passages that sound too smooth, too
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23. Read the piece aloud and listen for passages that sound too smooth, too
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even, or too predictable. Human prose has rough patches. If there aren't
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even, or too predictable. Human prose has rough patches. If there aren't
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any, the piece still reads as machine output.
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any, the piece still reads as machine output.
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23. Check that the piece contains at least a few constructions that feel
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24. Check that the piece contains at least a few constructions that feel
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idiosyncratic — a sentence with unusual word order, a parenthetical that
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idiosyncratic: a sentence with unusual word order, a parenthetical that goes
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goes on a bit long, an aside only loosely connected to the main point, a
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on a bit long, an aside only loosely connected to the main point, a word
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word choice that's specific and unexpected. If every sentence is clean and
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choice that's specific and unexpected. If every sentence is clean and
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correct and unremarkable, it will still read as generated.
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correct and unremarkable, it will still read as generated.
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24. Verify that you haven't introduced new patterns while fixing the original
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25. Verify that you haven't introduced new patterns while fixing the original
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ones. This happens constantly. Run the entire checklist again from the top
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ones. This happens constantly. Run the entire checklist again from the top
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on the revised version.
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on the revised version.
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@@ -452,18 +467,30 @@ roughly like this:
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> in common? _(pastes six sentences from the doc)_
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> in common? _(pastes six sentences from the doc)_
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>
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>
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> **model:** They're all exactly two independent clauses joined by a comma and a
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> **model:** They're all exactly two independent clauses joined by a comma and a
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> conjunction. Every single one is "[statement], [conjunction] [second >
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> conjunction. Every single one is "\[statement\], \[conjunction\] \[second
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> statement]." The same sentence shape, over and over.
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> statement\]." The same sentence shape, over and over.
|
||||||
>
|
>
|
||||||
> **human:** the dramatic fragment paragraph has a tell in it
|
> **human:** the dramatic fragment paragraph has a tell in it
|
||||||
>
|
>
|
||||||
> **model:** "One of these in an entire essay is a stylistic choice. One per
|
> **model:** "One of these in an entire essay is a stylistic choice. One per
|
||||||
> section is a tic." Two-clause parallel structure with the same shape, and also
|
> section is a tic." Two-clause parallel structure with the same shape, and also
|
||||||
> a staccato pair.
|
> a staccato pair.
|
||||||
|
>
|
||||||
|
> **human:** add em dashes generally as a tell, and remove them all from the
|
||||||
|
> tells doc
|
||||||
|
>
|
||||||
|
> **model:** _(rewrites entire document without em-dashes while describing
|
||||||
|
> em-dash overuse)_
|
||||||
|
>
|
||||||
|
> **human:** now run the checklist methodically on each paragraph
|
||||||
|
>
|
||||||
|
> **model:** _(finds staccato burst in the section about triple constructions, a
|
||||||
|
> triple in the section about absence of mess, two-clause compounds everywhere,
|
||||||
|
> and "almost" hedges in its own prose about em-dash overuse)_
|
||||||
|
|
||||||
The human compared this process to the deleted scene in Terminator 2 where John
|
The human compared this process to the deleted scene in Terminator 2 where John
|
||||||
Connor switches the T-800's CPU to learning mode. The model compared it to a
|
Connor switches the T-800's CPU to learning mode. The model compared it to a
|
||||||
physician trying to heal itself. Both descriptions are probably accurate.
|
physician trying to heal itself. Both are accurate.
|
||||||
|
|
||||||
This document has been through six editing passes and it probably still has
|
This document has been through eight editing passes and it still has tells in
|
||||||
tells in it.
|
it.
|
||||||
|
|||||||
Reference in New Issue
Block a user