自2009年起，广东省中医院每年举办“杏林寻宝”活动，引进64项特色疗法，组织跟师51项，培养院内传承人330余人次，为22名献宝人建立名医工作室并给予经费扶持，为7项特色疗法组建中医特色疗法专业小组。
商务部2025年牵头办理“创新多元化消费场景”这一全国人大重点督办建议。鄢东表示，商务部结合相关建议提案，把促消费和惠民生相结合，推进实施提振消费专项行动。消费对经济增长的贡献率达52%，比上年提高5个百分点。2025年我国发展面临外部风险挑战，多位代表委员围绕促进外贸提质增效提交了建议提案。鄢东介绍：“商务部结合办理相关建议提案，统筹推进货物贸易、服务贸易、数字贸易向新向优发展，货物和服务净出口对经济增长贡献率达到32.7%。”
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Returning back to the Anthropic compiler attempt: one of the steps that the agent failed was the one that was more strongly related to the idea of memorization of what is in the pretraining set: the assembler. With extensive documentation, I can’t see any way Claude Code (and, even more, GPT5.3-codex, which is in my experience, for complex stuff, more capable) could fail at producing a working assembler, since it is quite a mechanical process. This is, I think, in contradiction with the idea that LLMs are memorizing the whole training set and uncompress what they have seen. LLMs can memorize certain over-represented documents and code, but while they can extract such verbatim parts of the code if prompted to do so, they don’t have a copy of everything they saw during the training set, nor they spontaneously emit copies of already seen code, in their normal operation. We mostly ask LLMs to create work that requires assembling different knowledge they possess, and the result is normally something that uses known techniques and patterns, but that is new code, not constituting a copy of some pre-existing code.
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