听听 Databricks 创始人亲自讲他们为什么要做企业智能体基础设施，还有 Omnigent、LTAP 这些新东西到底想解决什么实际问题。
Databricks 联合创始人 Matei Zaharia 和 Reynold Xin 在播客中解释了公司为何切入企业智能体的基础设施层。他们介绍了 Omnigent 如何为编码智能体和自定义智能体创建共享框架。两人还讨论了 LTAP 和 Lakebase 如何重构操作型与分析型数据库的分离。此外，他们强调智能体安全需要上下文策略和支出控制，并认为未来软件的核心是让数据就绪并在此基础上运行智能体。
Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks https://t.co/lSn...
Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks latent.space/p/databricks @databricks cofounders @matei_zaharia and @rxin explain why Databricks is moving into the infrastructure layer for enterprise agents, how Omnigent creates a shared harness for coding agents and custom agents, why LTAP and Lakebase rethink the split between operational and analytical databases, why agent security needs contextual policies and spend controls, and why the future of software may be as simple as getting the right data in place and putting agents on top. Your browser does not support the video tag. 🔗 View on Twitter 💬 0 🔄 2 ❤️ 9 👀 3412 📊 3 ⚡