AI 精选动态
智能评分 60
Claude 用法洞察
AI 推荐理由
提供具体时间与职业维度的使用量化数据，可帮助评估AI助理在不同场景的工作效率。核心解读
Claude 的使用日志来自约10000名用户，显示工作日个人提示占比35%上升至周末近50%，配方请求在18点后提升2.3倍，税务查询在美国 filing 截止前激增8倍后迅速下降。 93% 的对话产出清晰，主要输出为解释 (17%)、文档报告 (15%) 和指导 (11%)，工作相关输出如营销、博客和数据库查询超过80% 与高工资职业 token 使用量约为低工资职业的2.07倍。
全文
Claude’s new usage logs now read like an early sensor for how AI is entering work.
Anthropic just published its new “Cadences” report review, anonymized conversations from almost 10,000 Claude users.
- Personal prompts rises from 35% on weekdays to nearly 50% on weekends.
- Recipe requests peak at 6pm and become 2.3x more common than average.
- News prompts peak at 7am, while business emails peak around 10-11am.
- Sleep advice clusters before dawn, with people most often seeking it around 3-5am.
- Tax requests in the US spiked 8x right before the filing deadline, then collapsed almost immediately.
- Weekend Claude Code work shifts away from backend architecture and API debugging toward AI agent design, quant trading, and gaming.
- Work done through Claude at nights and weekends skews toward higher-wage occupations, not lower-wage clerical tasks.
- Claude now produces a clear output in 93% of chat and Cowork conversations.
- The most common Claude outputs are explanations 17%, documents/reports 15%, and guidance 11%.
- Marketing content, blogs, and database queries are among the most work-heavy outputs, each around 80%+ work-related.
- Creative writing, guidance, and recipes are mostly personal, each above 80% personal use.
- Work conversations most often produce documents/reports 20%, while personal conversations most often produce explanations 25% and recommendations 22%.
- Higher-wage work burns more compute, with top-wage occupation conversations using about 2.07x as many tokens as bottom-wage ones.
- App-building conversations use more than 3x the median tokens, while basic explanations use about 1/5 of the median.
Rohan Paul (@rohanpaul_ai): https://t.co/ory5TuNTJ1