- 27 Dec, 2025 *
Inspired by Mikko’s real vs flawless.
Mikko, a non-native English speaker, found solid feedback from AI correcting his sentence structure. That said, he debated his writing goal: flawless second language writing or conveying his voice.
Improving his voice without demanding flawlessness cuts through that false dichotomy. Humans and AI systems alike can serve that purpose well. He can preserve his voice while becoming a better writer and learning to avoid unnecessary mistakes.
He seems to feel as if AI assistance is a slippery slope to losing his voice. He could defuse …
- 27 Dec, 2025 *
Inspired by Mikko’s real vs flawless.
Mikko, a non-native English speaker, found solid feedback from AI correcting his sentence structure. That said, he debated his writing goal: flawless second language writing or conveying his voice.
Improving his voice without demanding flawlessness cuts through that false dichotomy. Humans and AI systems alike can serve that purpose well. He can preserve his voice while becoming a better writer and learning to avoid unnecessary mistakes.
He seems to feel as if AI assistance is a slippery slope to losing his voice. He could defuse that threat by considering how universal yet subconscious influencing his own idiolect is. His unique use of language sounds like himself yet derives so many facets from others. Large language models themselves have their own idiolects based on their training data. Like them, how can you best balance authenticity and competence when it comes to your voice? Can the difference be as small as getting an AI system to replace "should" with "could"?\
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