跳到正文
Rohan Paul· @rohanpaul_ai · X·· 2 小时前AI 评分36
AI 导读

Aravind Srinivas(Perplexity CEO):如今单个重度用户消耗的算力,已能抵得上一整个小团队。 "Meta 等公司有真正的工程师,每年在每位工程师身上花约 1000 万美元用于这些编程工具。 Perplexity Computer 上有用户每月花费超过 1 万美元。他们的业务靠在这些 harness 里运行的智能体循环来运转。 甚至在我们公司内部,也有人搭建了这类多智能体层级和智能体循环,看起来就像他们自己的软件架构。我常请这些人来向公司其他人解释:'你到底在用这些工具做什么?你消耗的量显然远超我们预想的公司普通人水平。' --- 旧软件思维是追逐十亿人做小动作。 智能体 AI 改变了这道算术,因为一个熟练操作者就能创造出一整天的机器工作流。 ---- 来自 "20VC with Harry Stebbings" YouTube 频道(@HarryStebbings),链接见评论

正文
引用Rohan Paul@rohanpaul_ai
Aravind Srinivas (CEO Perplexity): how 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.” --- The old software instinct was to chase a billion people doing small actions. Agentic AI changes that math because one skilled operator can create a stream of machine work that runs all day. ---- On "20VC with Harry Stebbings" YouTube channel ( @HarryStebbings ), link in comment
在 X 查看被引用的帖子

来源:Rohan Paul · x.com