#text-post-processing

#text-post-processing

Preston's reliance on A.I. and his use of unattributed work by another writer was deemed a clear violation of the Times's standards, leading to his dismissal.

This operation is about a set of very specific objectives; the president laid them out on the very first night of operations. I'll repeat them to you now because I hear a lot of talk about we don't know what the clear objectives are.

An editor expressed concern, stating that the Shy Girl incident could happen to any publisher, highlighting the industry's need for vigilance regarding the authenticity of submissions.

The savings disappear the moment you hit real-world complexity. Disparate data sources and messy inputs, ambiguous situations without clear rule sets, or actually any domain where the rules aren't already obvious. And someone still has to write all those rules.

By comparing how AI models and humans map these words to numerical percentages, we uncovered significant gaps between humans and large language models. While the models do tend to agree with humans on extremes like 'impossible,' they diverge sharply on hedge words like 'maybe.' For example, a model might use the word 'likely' to represent an 80% probability, while a human reader assumes it means closer to 65%.