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@swyx: IMO DeepSeek v4 demonstrated utter confidence and competence by not benchmaxxing, not focusing on some BS final run cost, not even spending ...

@swyx 3 信息等级 3 1 噪音/剔除；2 较弱；3 普通事实；4 重要行业动态；5 极重大事件。该分数是信息显著性，不是投资建议。 发布：2026-04-29T19:21 抓取：2026-05-03 15:25
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摘要

DeepSeek v4 发布，展示长上下文效率技术 CSA、HCA、mHC 等，成本仅为 pro 版本的 8%，并推出最佳开源基础模型。

客观事实
  • DeepSeek v4 展示了长上下文效率技术
  • 其成本仅为 pro 版本的 8%
  • 发布了最佳开源基础模型
DeepSeek

原文

IMO DeepSeek v4 demonstrated utter confidence and competence by not benchmaxxing, not focusing on some BS final run cost, not even spending inference-optimal compute.

just showed up, demonstrated SOTA long context efficiency techniques (CSA, HCA, mHC, flash at 8% cost of pro, which itself is 14% cost of opus), dropped the best open base models in the world, peaced out.

BYO posttraining. leave that to the agent labs to pick up the scraps. bravo.

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