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deepseek

17 stories · 7d·6 sources covering·30 active storylines

Updated Tue, 18 Aug 2026 CEST·17 new storylines this week·live

What this is

DeepSeek is a family of open-weight models from the Chinese lab of the same name, known for strong reasoning at low cost. shipfeed tracks DeepSeek releases, weights, and evals.

storylines this week30 active

Monday, August 3, 2026’s edition
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Bloomberg
DEEPSEEK · 1 source

DeepSeek plans substantial price increases

Bloomberg: DeepSeek says it plans to implement substantial price increases across its services; it currently charges $0.14/1M input and $0.28/1M output tokens for V4 Flash — DeepSeek plans to implement a…

via bloomberg.com
Monday, August 3, 2026’s edition
Sunday, August 2, 2026’s edition
Friday, July 31, 2026’s edition
Vercel — Changelog
DEEPSEEK · 1 source

DeepSeek V4 Flash now runs updated weights on AI Gateway

now runs on updated weights by default on AI Gateway, with notably stronger agentic capabilities. On Terminal-Bench, it scores 82.7, up 25.8 points from 56.9 in the April preview.DeepSeek V4 Flash Requests to pick up…

via vercel.com
Saturday, July 18, 2026’s edition
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Tuesday, May 5, 2026’s edition
transformers — Releases
AI · 1 source

Transformers v5.8.0

Release v5.8.0 New Model additions DeepSeek-V4 DeepSeek-V4 is the next-generation MoE (Mixture of Experts) language model from DeepSeek that introduces several architectural innovations over DeepSeek-V3. The…

via github.com
Monday, April 27, 2026’s edition
vLLM — Releases
AI · 1 source

vLLM v0.20.0

vLLM v0.20.0 Highlights This release features 752 commits from 320 contributors (123 new)! DeepSeek V4: Initial DeepSeek V4 support landed (#40860), with DSML token-leakage fix in DSV4/3.2 (#40806), DSA + MTP IMA fix…

via github.com
Thursday, October 2, 2025’s edition
vLLM — Releases
AI · 1 source

vLLM v0.11.0

Highlights This release features 538 commits, 207 contributors (65 new contributors)! This release completes the removal of V0 engine. V0 engine code including AsyncLLMEngine, LLMEngine, MQLLMEngine, all attention…

via github.com
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