Rohan Paul@rohanpaul_ai · XPerplexity CEO Aravind Srinivas 指出，AI 使用的重心正从普通用户转向重度用户。单个重度用户消耗的计算量可匹敌一个小团队：Meta 等公司工程师每年在编码工具上花费约 1000 万美元/人；Perplexity Computer 上有用户月支出超 1 万美元，其业务依赖在 harness 内运行的 agent loops。公司内部也已出现多智能体层级和 agent loops 架构，消耗远超平均预期。旧软件思维追求十亿人做小动作，而智能体 AI 下，一个熟练操作者即可创造全天候的机器工作流。
Perplexity's CEO Aravind Srinivas is pointing to a quiet shift in AI use： the valuable user is no longer the average user.
A single power user can now consume as much compute as an entire small team.
"There are real engineers at Meta and other companies spending around $10 million a year per engineer on these coding tools.
There are users in Perplexity Computer， who spends upwards of $10，000 a month. Their business runs using agent loops that are running inside these harnesses.
Even internally inside our own company， there are some people who have set up these kinds of multi-agent hierarchies and agent loops that look like their own software architecture. I often ask these people to come explain to the rest of the company， "Hey， what are you doing with these tools？ You clearly are consuming them way more than what we thought the average person in the company would do."