你刚刷到这条消息，本来准备顺手划走，但又怕自己错过了真正会影响下一步判断的那一点。
最容易做错的，是Google I/O, Gemini Spark, Antigravity；代价往往是如果只盯表面热闹，你很容易在错误方向上花掉时间、预算和注意力。；我先给一个保守判断：I/O 2026的主角不是模型，是代理基建。
My take: I/O 2026 was not mainly about the model. It was about agent infrastructure. A launch is worth your time not because it lists more features, but because it changes your next decision. This one does.
By agent infrastructure, I mean the plumbing that lets an AI system take steps, keep state, and use tools for you instead of staying trapped in a chat window.
Why I think that: on the main developer track, Antigravity 2.0 and Managed Agents were presented alongside the model story as the move from prompt to action [S001]. And the sharper signal is inside Managed Agents: one API call can start an isolated Linux environment, browse the web, and keep persistent state [S002]. That is not just a better chatbot 演示（demo）. It is Google packaging the hard part: letting an AI system run tools, keep context, and act.
Caveat: this still looks like preview-stage infrastructure, so permissions, cost, and reliability matter more than 演示（demo） polish. I would not read Google I/O, Gemini Spark, Antigravity as "the models got hotter." I would read it as: the layer that lets AI take action is getting packaged.
Next step: if you know someone evaluating AI tools only through model 演示（demo）s, share this with them. The useful question now is not "Which benchmark won?
真正该讨论的是：Google I/O, Gemini Spark, Antigravity