Reddit上的一场讨论质疑了当前流行的“tokenmaxxing”趋势，即用户旨在增加AI模型的token消耗量，而不是优化提示以提高效率。批评者认为，这种方法导致成本增加，但并不一定能提高输出质量，并建议更好的提示工程或人力可能更具成本效益。将token数量作为成功指标的关注点被视为评估AI性能的一种错误方法。 AI
影响 凸显了用户行为可能从单纯的token消耗转向成本效益和提示优化。
排序理由 Reddit讨论表达了对AI模型使用和成本的看法。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
<!-- SC_OFF --><div class="md"><p>genuine question</p> <p>saw someone on here yesterday talking about how they "tokenmaxx" their prompts to get better results and i had to put my phone down and stare at the wall for a second</p> <p>like. you are paying MORE. to get the …
<!-- SC_OFF --><div class="md"><p>genuine question</p> <p>saw someone on here yesterday talking about how they "tokenmaxx" their prompts to get better results and i had to put my phone down and stare at the wall for a second</p> <p>like. you are paying MORE. to get the …
<!-- SC_OFF --><div class="md"><p>genuine question</p> <p>saw someone on here yesterday talking about how they "tokenmaxx" their prompts to get better results and i had to put my phone down and stare at the wall for a second</p> <p>like. you are paying MORE. to get the …