Unverified50% confidenceFactExact time
DeepSeek kernel engineers wrote the core attention kernel for DeepSeek V4.1 Flash.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/18/2026
First Seen
Valid until: 12/17/2026
Sources
Related Entities
Related Claims
UnverifiedThe DeepSeek team fine-tuned on DeepSeek v4 flash and developed their own visual encoder, DeepSeek ViT.78% similarVerifiedDeepSeek has released an experimental multimodal model, DeepSeek V4 Flash Vision EXP, which performs excellently in both text and multimodal tasks.76% similarVerifiedIn its July changelog, DeepSeek credited its internal Harness (the "minimal mode") as the behind-the-scenes contributor to V4 Flash's programming benchmark scores.76% similarUnverifiedLiu Shengyu is a DeepSeek researcher who participated in writing the main Attention operator for DeepSeek V4.1.76% similarVerifiedDeepSeek is deploying native multimodal capabilities at the Flash level rather than the flagship version first, with the intent to prioritize capturing high-frequency, large-scale application scenarios.74% similar
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