Logan Kilpatrick 谈 Agentic AI 与 Google 的 Agent HarnessLogan Kilpatrick on Agentic AI and Google's Agent Harness
核心要点:Google 正在从模型驱动的产品转向统一的 Agent Harness(Antigravity),它将为整个产品线提供 agentic 体验,让 agents 成为新的连接线。Google DeepMind 的 Logan Kilpatrick 负责 Google AI Studio 和 Gemini API,他解释了这个 agent 层如何连接从编码工具到 Gemini 和 Search 等消费者应用的一切。他指出,虽然早期存在 cannibalization 的担忧,但 agentic AI 正在证明是正和的,能驱动更多使用和成果,而不是减少人类参与。一个令人印象深刻的观点:“Google 的成功可能不是最大化用户在产品上的停留时间,而是最大化客户的成果。”Kilpatrick 重点介绍了 Omni,这是一个统一的 world model,在生成媒体尤其是细微视频编辑上表现出色,并讨论了 vibecoding 的快速进展,AI Studio 中已构建了数十万个 Android 应用。他强调编码 agents 正在极大加速内部开发,并预测垂直 superintelligence 将首先在科学和金融等可验证领域出现。
The Takeaway: Google is shifting from model-powered products to a unified agent harness (Antigravity) that powers agentic experiences across its entire product suite, making agents the new through-line. Google DeepMind's Logan Kilpatrick, who leads Google AI Studio and the Gemini API, explains how this agent layer connects everything from coding tools to consumer apps like Gemini and Search. He notes that while early fears of cannibalization exist, agentic AI is proving positive-sum, driving more usage and outcomes rather than reducing human engagement. A memorable insight: 'Success for Google probably doesn't look like maximizing eyeball time in front of our products. It's like maximizing outcome for customers.' Kilpatrick highlights Omni as a unified world model for generative media that excels at subtle video editing, and discusses vibecoding's rapid progress, with hundreds of thousands of Android apps already built in AI Studio. He emphasizes that coding agents are accelerating internal development dramatically and predicts vertical superintelligences emerging first in verifiable domains like science and finance.
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