Latest reporting, research and product updates filed under DeepSeek.
If you read the news headlines these days, you would be forgiven for thinking that the Western labs are getting spawn-camped by Chinese labs en masse. The Distillation Drama Not a week goes by when Anthropic doesn’t release another article on how the Chinese are distilling their models, becoming a danger to humanity itself, etc. It’s beneficial for them to say that because it sets the ground for these models to be restrained legally and regulatorily later on. But it’s clear that the days of mind
Deepseek is releasing open-source programming tools for Huawei's AI chips. The centerpiece is TileLang, a language meant to be easier to work with than Nvidia's CUDA software platform. Chinese AI developer Deepseek has teamed up with Huawei to build programming tools for Huawei's Ascend chips, according to a post on Deepseek's official WeChat channel. The software includes libraries for computation and for moving data between chips, and Deepseek is making all of it open source, Reuters reports.
As President Donald Trump prepares to meet tech and AI CEOs in Washington, Rep. Ro Khanna (D-CA) is calling for a treaty between the US and China to keep AI from wreaking havoc on the world. But wrangling leaders in both countries to take action could be a long shot.In letters shared exclusively with The Verge, Khanna — the top Democrat on the House Select Committee on China and a possible presidential contender — asked a US intelligence agency and Chinese AI companies whether they would be prep
How does sparse attention affect the TAM of memory, including HBM and NAND? Sparse attention selects top-k most relevant tokens to attend to, reducing the memory consumption and bandwidth requirements during the core Scaled Dot-Product Attention (SDPA) operation. However, the efficiency improvement doesn’t directly translate to overall memory savings in practice. Concretely, the top-k selection operation typically requires the full context to be in HBM, so sparse attention doesn’t eliminate the
WorkBuddy 宣布 DeepSeek V4.1-Flash 已在其平台上线，免费试用两周。引用的 DeepSeek 公告称 V4.1-Flash 已登陆 DeepSeek API 并支持原生多模态。
DeepSeek AI 发布多模态 MoE 模型 DeepSeek-V4.1-Flash，552B 主干加 196B Engram 参数，上下文窗口 1M，prefill 激活 8B 参数、decode 激活 16B，全局 KV 缓存降至每 token 890 字节，约为 DeepSeek-V4-Flash 的 1/4、DeepSeek-V1 的 1/437。
Cohere 发布 Command A Reasoning，定位企业级推理任务，称在 BFCL-v3（70.3）、tau-bench、m-tau-bench 上优于 gpt-oss-120b、DeepSeek-R1 0528 和 Mistral Magistral Medium。
DeepSeek-V3.1 正式发布，deepseek-chat 与 deepseek-reasoner 分别对应其非思考与思考模式。新模型采用混合推理架构，思考效率较 DeepSeek-R1-0528 更高，并通过 Post-Training 优化提升工具使用与智能体任务表现。