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  • China, DeepSeek, The Matrix

DeepSeek’s Ascend code moved. Xi’s speech did not name a chip.

Hangzhou published Huawei kernels on Sept. 30 and dropped Hopper from FlashMLA. The National Day address named no model and no compute figure. Moscow locked 2027–2030 metrics. Treasury republished SDN hashes. CNNIC opened an agent identity layer on DNS. Bottom…

  • Narracomm
  • October 1, 2026
  • DeepSeek, Launch Radar, The Matrix

DeepSeek’s GitHub list puts a plugin harness ahead of its model repos

The deepseek-ai organization shows 44 public repositories. DeepSeek Harness sits near 241,000 stars, while kernel libraries tied to attention, expert routing and GPU math were updated Sept. 30. DeepSeek’s public code shelf is no longer just a place to drop…

  • Narracomm
  • October 1, 2026
  • DeepSeek, Launch Radar, The Matrix

TileLang 0.1.15 adds a Huawei Ascend 950 backend for Python kernel code

The open-source language, built on Apache TVM, compiles GEMM and attention kernels toward NVIDIA, AMD, Apple and Huawei hardware. DeepSeek’s TileKernels library raised its requirement to this release the same day. TileLang reached version 0.1.15 on Sept. 30, 2026, with…

  • Narracomm
  • October 1, 2026
  • DeepSeek, Launch Radar, The Matrix

DeepSeek releases DeepSelect, a TopK kernel for sparse attention and sampling

The MIT-licensed library, used in DeepSeek V3.2, V4 and V4.1, claims a 2 to 20 times gain over PyTorch’s stock topk. CUDA support arrived Sept. 10. Huawei Ascend kernels followed Sept. 30. DeepSelect is not a model. It is a…

  • Narracomm
  • October 1, 2026
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