Databricks 发布 AI 智能体 Genie 升级版，CEO 借它听取内部真实情况
Databricks’ new AI agent tells CEO Ali Ghodsi the unvarnished truth
- 1Databricks 发布升级版 AI 智能体 Genie，官方称可无监督完成耗时的多步骤任务
- 2CEO Ali Ghodsi 展示内部真实用法，包括分析员工调查低分项、复盘失败销售演示和准备访谈
- 3Ghodsi 引邓巴数 150 人解释定位，称员工超 150 的公司都能从中获得价值
- 4针对成本担忧，官方称可用 Unity Gateway 设置用量上限并换用更便宜的开源权重模型
Databricks 借自家 CEO 的日常使用把智能体从程序员工具推向企业管理层，卖点是让高层绕开层级过滤听到一线真实信息。
- 影响：满意度调查、失败销售复盘这类容易被层级过滤的信息可由智能体直接送达高层，改变管理层了解内部的路径；常驻运行的智能体会推高 AI 用量成本，预算和管控需同步安排。
- 参考：可考虑盘点高层平时听不到的一线信息清单，选员工调查或销售复盘这类场景小规模试点；值得先算清智能体常驻运行的用量成本，并确认所购平台能否设用量上限、换用更便宜的模型。
- 依据：无监督完成多步任务为官方口径，暂无独立验证；CEO 使用案例是他向 TechCrunch 记者展示的真实会话，属个案；成本控制说法来自 Ghodsi 对自家 Unity Gateway 的介绍。
Databricks on Wednesday unveiled an updated version of its AI agent Genie, which can now perform multi-step jobs that take extended work to finish. It does this through an ontology that Databricks built to give Genie the context it needs from the information that customers store on the Databricks platform.
Corporate leaders can now assign the agent a wide range of tasks, and it will complete them unsupervised, the company says. To prove the point, Databricks CEO Ali Ghodsi showed me how he uses it internally. Instead of a product demo, he fired up his actual agent and walked me through his most recent chats and charts.
He showed me how it analyzed the parts of an employee satisfaction survey where the company didn’t score well, and how it helped him rate (and discard) fixes for those low scores that some executives suggested. He showed me how it summarized a big sales pitch to a prospect that went poorly — including the features the prospect said it needed before buying.
It also prepped him for a podcast interview by reviewing his previous appearances and developing likely questions. While we talked, he even had it tell him what he should say to me. (And its advice on that wasn’t bad.)
The fascinating part was that Ghodsi was using Genie to find the stuff that he’s now unlikely to hear as the big boss. It was a source of unvarnished truth about what wasn’t going well that he needed to address.
“Have you heard of Dunbar’s number? The magic number is 150,” he said when I pointed this out. Named for British anthropologist Robin Dunbar, it’s theoretically the maximum number of people with whom humans can maintain stable relationships. In a small startup, a CEO knows everyone, has direct relationships with them, and they feel safe to tell him negative info straight up.
With 12,000 employees, Ghodsi is the first to admit he can’t know everyone. At that size, a salesperson isn’t likely to confess a disastrous sales call to the CEO. An HR manager isn’t likely to confess that their idea for increasing employee satisfaction will probably fail.
“Anyone who has more than 150 employees, which is a lot of companies, a lot of people can get value out of this,” he said of AI agents generally and his product, Genie, specifically.
Ghodsi’s own use of Genie (often called dogfooding, from the phrase “eating your own dogfood”) is one reason why Databricks is now pitching it as an always-on agent for business leaders. He says he also uses it in his personal life, rather than a security-questionable alternative like OpenClaw or Instinct or Muse.
He believes Genie can do for the business side what AI, agents and harnesses (the software that wraps around an AI model and lets it use tools) are doing for programmers. As for the risk that agents will ratchet up corporate AI costs, Ghodsi has an answer for that, too. He said costs can be controlled through Databricks’ Unity Gateway product. It allows companies to set usage limits and to swap in less expensive open-weight models.
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Julie Bort is the Startups/Venture Desk editor for TechCrunch.
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来源：TechCrunch · AI · techcrunch.com