Perplexity CEO Aravind Srinivas 指出，Meta 等公司的工程师每年在编程工具上花费约 1000 万美元，Perplexity Computer 有用户每月花费超 1 万美元，其业务依靠 harness 内的 agent loop 运行。他认为 agentic AI 改变了软件逻辑：过去追求十亿人做小动作，如今一个熟练操作者就能让机器全天持续产出。
Perplexity’s CEO Aravind Srinivas: 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.”
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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.
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From "20VC with Harry Stebbings" YouTube channel (
@HarryStebbings ), link in comment
Jensen Huang on today's All-In Summit: open-source AI is what allows an entire economy to compete. "in the last six months, $400 billion of venture funding went into AI-native companies. Eighty percent of them use open models. If not for open models, how could they build their dream? The vast majority of the world’s contribution to open source today is coming from China. But once you download it, it’s yours. We fork it. We improve it. We make it ours." ---- Full video on "All-In Podcast" YouTube channel (link in comment)在 X 查看被引用的帖子
来源：@rohanpaul_ai · x.com