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不仅如此,Kimi K2.5模型还成为了现象级产品OpenClaw的官方推荐模型,其调用量在OpenClaw的模型调用榜中排名第一,甚至超过了GPT、Claude这些海外头部模型。

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The GHC API is notoriously fragile and bulky. The bulk of the work maintaining iHaskell involves keeping it in sync with GHC’s internals. Each GHC release means a package change to iHaskell even when the GHC changes don’t affect iHaskell at all. iHaskell also keeps stack configurations for older GHC versions. Relying on GHC’s internals in this way increases the maintenance burden of the project.