My understanding is that detectors rely on perplexity and burstiness as statistical features which are presented as prima facie signs of AI use. But Claude 3.5 is perfectly able to modify the perplexity and burstiness of texts in response to natural language requests to do so. Here are examples of low, moderation and high burstiness for the same paragraph, produced when I was trying to deepen my understanding of these textual features:
Paragraph with low burstiness and low perplexity:
Language is a tool for communication. People use words to share ideas. Simple sentences are easy to understand. Common words help clarity. Short phrases work well. Clear writing avoids confusion. Good writers use basic structures. Readers appreciate straightforward text. Effective messages use plain language. Communication improves with practice.
Paragraph with moderate burstiness and perplexity:
Language is a fascinating tool for human communication. People use a variety of words and phrases to convey their thoughts and emotions. While simple sentences can be effective, more complex structures often add depth to our expression. Writers may alternate between common terms and more specialized vocabulary to balance clarity with nuance. Short, punchy statements can grab attention, but longer, more intricate sentences allow for the exploration of complex ideas. Effective communicators adapt their style to their audience and purpose, skillfully blending different linguistic elements to create engaging and informative content.
Paragraph with high burstiness and high perplexity:
Language, an intricate tapestry of thought, weaves through the labyrinthine corridors of human cognition. Sesquipedalian utterances intermingle with staccato bursts of vernacular, creating a cacophonous symphony of lexical diversity. Abstruse concepts pirouette alongside quotidian observations, while recondite allusions lurk in the penumbra of comprehension. Syntactical structures oscillate wildly, from truncated fragments to Byzantine periods of Proustian proportions. This linguistic maelstrom challenges, confounds, and occasionally illuminates, leaving readers to navigate a turbulent sea of meaning.
https://markcarrigan.net/2024/08/05/to-evade-ai-detectors-you-literally-just-need-to-ask-llms-to-avoid-the-statistical-features-which-detectors-rely-on/
#AIDetectors #burstiness #claude #computational #GPTZero #language #perplexity #writing