Every week, I organize 400 to 700 links into roughly 60 categories as part of my ongoing effort to learn about AI. This is my personal notebook, which I enjoy sharing with friends… a hobby and a labor of love, rather than a commercial publication or product.
If you arrived here through a search or shared link, this page collects the links I found for DeepSeek for the week ending July 24, 2026.
As part of my learning process, I like to automate the category covers. It gives me a chance to learn Python and APIs.
This week’s cover prompt was written using Claude Opus 4.7, and the image was generated using Gemini 3.1 Flash Image Preview.
Category cover image prompt:
A giant chrome whale arcing downward through a deep purple-black cosmic sea trailing swirling rainbow ribbon currents and starburst sparkles, lit by a glowing beam from above, with the title 'DeepSeek' arcing across the top in huge fat 1970s funk bubble letters filled with chrome and glitter and stacked multicolor drop shadows, square 1970s psychedelic Afrofuturist concert poster composition with one clear central subject and generous negative space.
This Week in DeepSeek News
Here’s a quick AI-generated summary by Claude Sonnet 5.5, based on the headlines and excerpts accompanying this week’s links:
DeepSeek showed up mostly as a yardstick this week, and the comparisons were not flattering. Artificial Analysis placed Thinking Machines Lab's Inkling ahead of DeepSeek V4 Flash on its new AA-Briefcase knowledge-work benchmark, while noting that leading open weights models like Nemotron 3 Ultra and GLM-5.2 still scored higher. A LocalLLaMA post made a similar point about Laguna S 2.1, claiming it is cheaper than V4 Flash and better than V4 Pro.
Ethan Mollick raised the competitive question directly: K3 is better than GLM-5.2, which beat DeepSeek V4, and he wondered whether all these Chinese open weights labs can stay in the race as the models become large businesses.
On the company side, there are two reads for context: a piece on DeepSeek's claim of training on Huawei chips finally getting benchmarks (and doubters), and a collection of quotes from founder Liang Wenfeng's investor call.
This summary was generated by Claude Sonnet 5.5 to help you explore the links below. Rest assured, I select, organize, and check the links by hand in Google Sheets, and write the introduction and personal commentary in The Main Newsletters myself each week as a labor of love.
This week's links related to DeepSeek
Thinking Machines Lab’s Inkling scores an Elo of 836 on on our agentic knowledge work benchmark AA-Briefcase, ahead of DeepSeek V4 Flash but below leading open weights models including Nemotron 3 Ultra and GLM-5.2 Our new agentic knowledge work benchmark, AA-Briefcase, tests”
https://x.com/ArtificialAnlys/status/2080036845161730284
The Chinese open weights models are now very good, and I increasingly wonder about the competitive dynamics among them as they become giant & valuable businesses. Its tough competition: K3 is better than GLM-5.2 which beat DeepSeek v4, etc. Can they all stay in the race?”
https://x.com/emollick/status/2078140637845598638
DeepSeek’s Huawei-Chip Training Claim Gets Its Benchmarks
https://www.implicator.ai/deepseeks-huawei-chip-training-claim-finally-gets-its-benchmarks-and-its-doubters/
DeepSeek founder Liang Wenfeng in His Own Words: 64 Quotes from DeepSeek’s Investor Call
https://www.geopolitechs.org/p/deepseek-founder-liang-wenfeng-in
Laguna S 2.1 Released: Cheaper than Deepseek v4 Flash, Better than V4 Pro : r/LocalLLaMA
https://www.reddit.com/r/LocalLLaMA/comments/1v2pg99/laguna_s_21_released_cheaper_than_deepseek_v4/
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