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颠覆了我领导的认知。 他前天给deepseek充了50块，然后用了三天小龙虾，把钱花完了。 今天他说让我们自己写一个deepseek，不用外边的deepseek了，他还说我们不会写没关系，就让AI去写，现在都用AI敲代码了，没有什么代码是deepseek写不出来的。换句话说，除非MiMo彻底解决了『雷霆大思考』，彻底找到一条能够 代替reasoning scaling的新路线，才有资格和deepseek-r1研究创新性这个赛道上进行比较，否则只不过都是站在deepseek-r1开出来的赛道上的跟随者。知乎Deepseek在一些不需要很高精度的模块，使用很低的精度FP8储存数据，极大的降低了训练计算量。 当然即便如此，训练Deepseek的成本还是巨大的，虽然没有最先进的显卡，但保守估计还是用了大概50000张显卡。 三、未来？有，千问qwen3 8max，多模态，能力水平比DeepSeek V4flash和pro都强，我个人认为3 8max在目前国模里可以排到前三，甚至前二。 当然，这个有效期仅限于我写完这篇回答，谁知道未来几小时、几天会不会出现GLM5 5、DeepSeek V4正式版之类的国模。Sep 29, 2026 · DeepSeek 弹性计算 (DeepSeek Elastic Compute, DSec) 是支撑 DeepSeek-V4 全部训练、评测与数据预处理流程的沙盒基础设施。 要训练一个可靠的 Agent 大模型，需要其能在真实环境里反复地试错：阅读代码、修改文件、安装依赖、执行测试、运行服务。扯完价格，继续来看看这个问题下面的有些幻觉回答，感觉有必要纠正一下： 1、昇腾950DT是今年9月份开始陆续发货（比原计划Q4提前了一点），所以目前DeepSeek是没有拿到昇腾950DT超节点的；以及昇腾950DT的价格问题，参考本回答的第一段落。你这个猜想， 目前看大概率就是正确方向。 我专门翻了 DeepSeek 官方文档、DeepSeek 官方 GitHub、WorkBuddy 官方模型配置和更新日志。 得到的结论是： WorkBuddy 里显示的 DeepSeek V4“能识图”，并不能证明 DeepSeek V4 本体具备原生视觉能力。大家注意到没有，DeepSeek V4 的技术报告副标题是「Towards Highly Efficient Million-Token Context Intelligence」。 可以看到DeepSeek依然还是走效率路线，DeepSeek 不再只在「能力 benchmark」上跟 OpenAI ，Anthropic，Gemini等公司正面竞争了，而是在「高效长上下文推理」这条赛道上切入。Sep 14, 2026 · 这两天下载了workbuddy，看里面由DeepSeek-V4 1-Flash模型，而且用起来消耗积分很少，让它给出和各个模型…
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颠覆了我领导的认知。 他前天给deepseek充了50块，然后用了三天小龙虾，把钱花完了。 今天他说让我们自己写一个deepseek，不用外边的deepseek了，他还说我们不会写没关系，就让AI去写，现在都用AI敲代码了，没有什么代码是deepseek写不出来的。换句话说，除非MiMo彻底解决了『雷霆大思考』，彻底找到一条能够 代替reasoning scaling的新路线，才有资格和deepseek-r1研究创新性这个赛道上进行比较，否则只不过都是站在deepseek-r1开出来的赛道上的跟随者。知乎Deepseek在一些不需要很高精度的模块，使用很低的精度FP8储存数据，极大的降低了训练计算量。 当然即便如此，训练Deepseek的成本还是巨大的，虽然没有最先进的显卡，但保守估计还是用了大概50000张显卡。 三、未来？有，千问qwen3 8max，多模态，能力水平比DeepSeek V4flash和pro都强，我个人认为3 8max在目前国模里可以排到前三，甚至前二。 当然，这个有效期仅限于我写完这篇回答，谁知道未来几小时、几天会不会出现GLM5 5、DeepSeek V4正式版之类的国模。Sep 29, 2026 · DeepSeek 弹性计算 (DeepSeek Elastic Compute, DSec) 是支撑 DeepSeek-V4 全部训练、评测与数据预处理流程的沙盒基础设施。 要训练一个可靠的 Agent 大模型，需要其能在真实环境里反复地试错：阅读代码、修改文件、安装依赖、执行测试、运行服务。扯完价格，继续来看看这个问题下面的有些幻觉回答，感觉有必要纠正一下： 1、昇腾950DT是今年9月份开始陆续发货（比原计划Q4提前了一点），所以目前DeepSeek是没有拿到昇腾950DT超节点的；以及昇腾950DT的价格问题，参考本回答的第一段落。你这个猜想， 目前看大概率就是正确方向。 我专门翻了 DeepSeek 官方文档、DeepSeek 官方 GitHub、WorkBuddy 官方模型配置和更新日志。 得到的结论是： WorkBuddy 里显示的 DeepSeek V4“能识图”，并不能证明 DeepSeek V4 本体具备原生视觉能力。大家注意到没有，DeepSeek V4 的技术报告副标题是「Towards Highly Efficient Million-Token Context Intelligence」。 可以看到DeepSeek依然还是走效率路线，DeepSeek 不再只在「能力 benchmark」上跟 OpenAI ，Anthropic，Gemini等公司正面竞争了，而是在「高效长上下文推理」这条赛道上切入。Sep 14, 2026 · 这两天下载了workbuddy，看里面由DeepSeek-V4 1-Flash模型，而且用起来消耗积分很少，让它给出和各个模型…