On AI writing
What happened
The author reflects on how AI‑generated text, defined as having at least half its words produced by AI, erodes personal style and precision. Their bachelor’s thesis showed that author identification works by analyzing word usage, but AI’s averaged style makes such identification difficult. AI writing often uses ambiguous language and verbose output, slowing reading speed—about a third slower for the author—because readers lack contextual cues. The loss of style and precision also reduces trust between writers and readers and can increase the time needed for collaborative work. The post includes comments noting the metaphor of a Magritte painting and questioning the assumptions behind AI‑assisted reading.
Why it matters
For everyday readers, slower and less precise AI text means more effort to understand content, potentially reducing productivity. For writers, the perceived time savings may be offset by readers needing more time and losing trust.
Reality check
An automated, sceptical read of the sourceIncremental. The article points out practical drawbacks of current AI writing rather than presenting a breakthrough technology.
Is this a big deal?
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