What happens if there are too many writes? Do the readers starve? Building a data store on top of a single global lock with read/write semantics is a valid technical choice. Perhaps it is a bit questionable to market that as “a database”. But it seems to me that if you’re going all in with that approach, if that lock will provide the concurrency control for your whole database, you need to have very explicit, customizable semantics for prioritizing readers and writers, to ensure the server remains responsive regardless of the workload.
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。业内人士推荐safew作为进阶阅读
Фото: Marc Piasecki / WireImage / Getty Images。谷歌是该领域的重要参考
enormous engineering effort to produce
Sometimes the labs want only rubrics for prompts their AI can’t already do, which means companies like Mercor ask workers to produce “stumpers,” or requests that will make the model fail. “It sounds easy, but it’s really hard,” says a worker who was trying to stump models by asking them to make inventory-management dashboards. Models fail in counterintuitive ways. They may be able to solve advanced-physics exam questions, but ask them for transit directions and they’ll recommend transferring on nonconnecting train lines. Finding these weak spots takes time and creativity.