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RadarAI· X:Aravind Srinivas(Perplexity CEO) (@AravSrinivas)·· 5 小时前AI 评分38

Perplexity CEO:智能体将越来越多地被其他智能体调用

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Perplexity CEO Aravind Srinivas 认为,智能体将越来越多地被其他智能体调用,因为编排更简单,且可集中到以 git 为核心、不断复利的系统底座。当智能体以 code-mode 运行并对 trace 做版本控制,就形成可用减少人工介入来度量的递归循环。配图显示人工输入的队友操作占全部队友轮次的比例从第一周的 31% 降至最近的 22%。

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Aravind Srinivas· @AravSrinivas · X·2026-11-06 13:13· 1 小时前AI 评分52

AI 导读

Aravind Srinivas 认为智能体将越来越多地被其他智能体调用,因为编排更简单,且可集中到一个以 git 为核心、不断复利的系统底座;当智能体以 code-mode 运行并对 trace 做版本控制,就形成可用减少人工介入来度量的递归循环。配图显示人工输入的队友操作占全部队友轮次的比例从第一周的 31% 降至最近的 22%,其余来自子智能体、跟进和自动化。

正文 · 原文

Agents are going to be used increasingly by other agents. Simply because the orchestration is easier and can centralize around one compounding system of record: git. When agents run code-mode and traces are version controlled, you get to a real recursive loop, measurable by less human in the loop.

引用Johnny Ho@randomjohnnyh
At Perplexity, agent prompts are no longer typed by humans: increasingly teammates are prompting each other, listening to automations, and ambiently listening to human feedback. Perplexity bridges the context between a large number of cloud tools and software services: searching and processing more than a human could possibly track manually. Hard decisions, restraint, and judgment before shipping are of course still enforced by humans. A particularly important value at Perplexity is to always seek the truth. In today's stack, this means centralizing the ground truth in git repos and data warehouses when answering questions about the business, instead of looking at intermediate, often inaccurate or outdated artifacts. This is what enterprise cloud agents like Perplexity are especially good at: connecting the dots across your organization and monitoring the facts 24/7. Even as an AI-native company it took us many months of development and cultural transformation to get to this point. It will be fascinating what the world looks like when all businesses reach this level of automation and beyond.
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来源:Aravind Srinivas · x.com

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