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.
用好科技赋能司法。推进全国法院在“一张网”、一个平台办案办公。发挥网络贯通和规则统一优势，统筹办理异地关联案件、甄别纠治虚假诉讼，把全流程监督落实到每一个案件。稳慎研发人工智能辅助审判系统，坚持“辅助”定位，司法责任主体只能是法官。
。业内人士推荐新收录的资料作为进阶阅读
// 栈不为空时才判断（避免访问stack.at(-1)时报错）
这个不是抄袭，因为有明显的指向性，毕竟《夏洛的网》在美国文学中的地位很高。