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Mentions
@yhlyjs @Macro_Zyaire 这个也还不错wanshuiyin/Auto-claude-code-research-in-sleep
@realTaki42 @bot @ChatGPT 防御性编程和长程goal的遗忘简直是codex 通病hhh，可以看看HERO wanshuiyin/HERO-Anti-OverDefense 针对这两个问题都有解决🤓🤓
@LeoBuilds_ This repo connects both Claude & codex Claude’ strength is fast, fluid execution; Codex is slower but more deliberate and rigorous in critique. These complementary styles speed × rigor produce better outcomes than either model talking to itself. wanshuiyin/Auto-claude-code-research-in-sleep
17k🌟自主科研ARIS|开源国模(Deepseek V4pro-preview + GLM 5.1)协作超越5.6Sol 转眼间ARIS(Auto Research in Sleep，wanshuiyin/Auto-claude-code-research-in-sleep)已经14000 star了🎉 最近可算抽出来时间把ARIS在各类AutoResearch 的Benchmark上面测了测😋😋 结果还是挺出乎我意料的，发现在已有的AutoResearch Bencmark上，ARIS使用DeepSeekV4 Pro和GLM5.1(这也是ARIS的平替建议组合)根据workflow进行对抗性配合和协作就能够轻松追平GPT5.6 sol🔥🔥 这说明对于比较长程Auto Research的任务来说，是不是任务执行结果的可验证和可回溯比纯粹的模型能力更重要？ 只要配合的好，未必不能做到更好🧐🧐 (btw国模真的太强了，我都不敢想最先进的国模能达到什么境地，有时间测测国内各大玩家的模型配合的怎么样，感觉可以给我很多惊喜啊🤩🤩 希望可以和大家多交流！ ARIS也在持续更新，我们最近也更新了针对Theory Proof的workflow 和lean 验证 以及自己独立的ARIS-Code，欢迎大家给我提issue和讨论🙇🏻♂️🙇🏻♂️