DeepSeek Raising $3–4B at $50B Valuation via China's National AI Fund
DeepSeek raising $3–4B at $50B valuation via China's national AI fund shifts the open-weights frontier to state-backed capital.
DeepSeek raising $3–4B at $50B valuation via China's national AI fund shifts the open-weights frontier to state-backed capital.
Qwopus3.6-35B: Qwen3.6 35B distilled on Claude Opus reasoning traces (71.9GB) brings Opus-quality reasoning patterns to an open-weight architecture.
Researchers release talkie-lm, a 13B model trained only on pre-1931 text: it defends luminiferous aether, can't arrange a sushi delivery, and raises the question of whether it can learn to code.

DeepSeek-V4's MIT-licensed 1M-context MoE and Kimi-K2.6's multimodal orchestration create the first complete open-weights agentic deployment stack.

DeepSeek V4 drops two open-weight models with 1M-context by default, CSA+HCA hybrid attention, and V4-Pro priced at roughly 1/7 Opus 4.7's output cost.

DeepSeek V4-Pro launches with 1.6T parameters, 1M context, and 10× KV cache reduction over V3.2 — multiplying inference concurrency roughly 10× on the same hardware.
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