DeepSeek R1 paper
Shares rank 6 of 7 research papers by recommenders
People recommend it as a well-written technical report and a good introduction to the topic. One critic says it leaves out some details needed for stable training.
People recommend it as a well-written technical report and a good introduction to the topic. One critic says it leaves out some details needed for stable training.
5 people gave an opinion
- recommend it
- 5
- criticize it
- 0
- approval share
- 100%
Recommended in 4 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: recommended
- May 2026: not recommended
- June 2026: recommended
- July 2026: not recommended
- August 2026: not recommended
- September 2026: recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 5 people recommend itNeeds 10 or more, not met.
- Nobody criticizes itNeeds 2 to 1 or better, met.
- Recommended in 4 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Well-written technical report
“Their R1 paper was really well-done. But I think it leaves out a few details necessary for stable training.”
Comment from 28 Jun 2026 in “DeepSeek open-sources inference optimizations with 60–85% faster generation [pdf]” “Many recent OSS models have great tech reports where you can learn more about these kind of things”
Comment from 5 Apr 2026 in “Nanocode: The best Claude Code that $200 can buy in pure JAX on TPUs” Good introduction to the topic
“Many recent OSS models have great tech reports where you can learn more about these kind of things”
Comment from 5 Apr 2026 in “Nanocode: The best Claude Code that $200 can buy in pure JAX on TPUs” “the DeepSeek R1 paper is a good introduction to the topic”
Comment from 20 Jan 2026 in “Nanolang: A tiny experimental language designed to be targeted by coding LLMs” Important, impressive paper
“One important paper post Attention is All You Need is the DeepSeek paper”
Comment from 14 Sep 2026 in “Open-source AI and open models reading list” “This one is impressive too”
Comment from 25 Apr 2026 in “There Will Be a Scientific Theory of Deep Learning”
Other research papers people recommend
The four most recommended other research papers, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| The Ironies of Automation by Lisanne Bainbridge | 14 | 0 | 100% | 7 | — | Approved |
| Attention Is All You Need by Vaswani et al. | 14 | 2 | 88% | 7 | — | Approved |
| Structured Programming with go to Statementsby Donald Knuth | 7 | 1 | 88% | 4 | — | — |
| MapReduce: Simplified Data Processing on Large Clusters by Dean and Ghemawat | 6 | 1 | 86% | 5 | — | — |
| DeepSeek R1 paperThis page | 5 | 0 | 100% | 4 | — | — |
What people said
All 5 comments that mention it, newest first. Each links to the original comment.
“One important paper post Attention is All You Need is the DeepSeek paper”
“Their R1 paper was really well-done. But I think it leaves out a few details necessary for stable training.”
“This one is impressive too”
“Many recent OSS models have great tech reports where you can learn more about these kind of things”
“the DeepSeek R1 paper is a good introduction to the topic”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.