如何让 AI 输出更易读？Reddit 网友讨论过度压缩的 AI 表达带来的理解负担
Anyone else get brain lag from overly-condensed AI-speak? [D]
Reddit 网友讨论 LLM 输出中"quiet single-source substitute"这类过度压缩表达虽勉强可解但解析成本过高的问题，并追问有哪些研究能让 AI 更易读。发帖者认为难点在于每个人的词汇量、阅读水平和生活经历都略有差异，并称自己因工作必须阅读 LLM 生成内容，希望至少达到勉强可读的程度。
We’ve all had the experience of coming across a phrase like “quiet single-source substitute” which just barely makes sense in the context of the conversation but takes way too much effort to parse. What research exists into making AI more readable?
I feel like this is a particularly thorny problem because each of us individuals has a slightly different lexicon, reading level, not to mention life story. Perhaps linguistics is the more appropriate academic subject to post this question in, but I’m specifically interested in the applied case cause I’m professionally obligated to read LLM garbage and would like it to be at least passably readable garbage.
来源：r/MachineLearning · reddit.com