该区域地下水储量丰富，事发时管道正处于施工阶段，内部呈空心状态，自身重量较轻，当地下水向上的压力超过管道自重及周围土壤的约束力时，便将这根巨管像“软木塞”一样顶出地面。
Having said that: I think there’s a product here, and some lessons to learn. Perhaps the authors eventually apply them to SpacetimeDB v3 and launch a more resilient and LLM-friendly database, where application code is isolated and can run for as long as it needs, without possibly affecting other application code running locally, even when faced with serious implementation bugs; where transactions can run for as long as they need without affecting the performance of other transactions; where they’re implicitly throttled if they’re taking too long, if the LLM did not provide an optimal query plan. Perhaps we’ll see a system that is much more resilient to failure, but with much less “impressive performance”; perhaps the system will be trivially distributed so that the AI agent doesn’t have to plan a distributed system itself; perhaps it will launch with fewer silly benchmarks and with more technical details.
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