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grokVIDEO

xAI 免费公开课:如何管理一支 Grok Bot 智能体团队

一小时工作坊拆解多智能体协作:为何 100 个 agent 会失控、用异模型裁判打分、以及 Jev 决策层的作用。

silentguy
@silentguyy662026.09.28收录原推发布于 2026.09.27
silentguy @silentguyy66原推发布于 2026.09.27
在 X 上打开原推

SpaceXAI just released a free workshop on how to run a team of Grok Bots This 1-hour session on running a team of agents: 05:09 - why spawning 100 agents fails if you can't trust one 10:43 - no verification skill and you become the bottleneck 24:00 - a judge agent of a different model scores every sub agent 35:14 - grok bot launches: agents with their own identity 56:26 - the same agents now run product and design, not just code Nobody adds a decision layer to a team of agents Which bot goes next, is the evidence good enough, is this safe to ship A frontier model writes a paragraph for every one of those Jev only does that single job. 20-200x faster, $0.042 per million input tokens, and it never writes a sentence LLM makes the work → Jev decides what happens next → code enforces it Most people scale agents by opening more tabs Watch this and save it before XAI ships another agent update

这条是引用着另一条写的:「Jev 把路由打分验证做成决策层」

x.com/silentguyy66/status/2104207220724359563采集于 2026.09.28 10:00