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Sebastian Raschka's Substack

Shares rank 13 of 26 newsletters by recommenders

Recommended for clear, direct writing on recent LLM architectures and how model design affects performance. No caveats were raised.

Recommended for clear, direct writing on recent LLM architectures and how model design affects performance. No caveats were raised.

7 people gave an opinion

recommend it
7
criticize it
0
approval share
100%
Each figure is one person. RecommendsCriticizes

Recommended in 3 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: not recommended
  5. March 2026: not recommended
  6. April 2026: not recommended
  7. May 2026: not recommended
  8. June 2026: not recommended
  9. July 2026: recommended
  10. August 2026: recommended
  11. September 2026: recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 7 people recommend itNeeds 10 or more, not met.
  • Nobody criticizes itNeeds 2 to 1 or better, met.
  • Recommended in 3 of 13 monthsNeeds 4 or more, not 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

  • Clear explanations of recent LLM architectures

    “Ive gotten a lot of value lately using his writing to understand how parameter size, MOE and PLE variations on local models influence performance”

    Comment from 14 Sep 2026 in “Open-source AI and open models reading list”

    “Sebastian's blog posts on recent architectures are absolutely great too.”

    Comment from 24 Aug 2026 in “I were 17, I'd learn how to build LLMs from scratch”
  • Direct writing, not LLM-generated filler

    “This seems like a rare gem in a space swamped with lazily LLM generated summaries.”

    Comment from 28 Jul 2026 in “Kimi K3 Architecture Overview and Notes”

    “straight to the point yet very easy to grasp it was”

    Comment from 28 Jul 2026 in “Kimi K3 Architecture Overview and Notes”
  • Respected LLM researcher and author

    “Sabastian Raschka is one of the great LLM researchers/authors”

    Comment from 28 Jul 2026 in “Kimi K3 Architecture Overview and Notes”

    “I've always enjoyed his work!”

    Comment from 28 Jul 2026 in “Kimi K3 Architecture Overview and Notes”

Other newsletters people recommend

The four most recommended other newsletters, 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.

Sebastian Raschka's Substack compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Ed Zitron newsletter464252%12——
Simon Willison's blog21291%9—Approved
SemiAnalysis201263%8——
acoup.blog190100%10—Approved
Sebastian Raschka's SubstackThis page70100%3——
See all 26 newsletters, ranked

What people said

6 of the 7 comments that mention it, newest first. Each links to the original comment.

“Ive gotten a lot of value lately using his writing to understand how parameter size, MOE and PLE variations on local models influence performance”

RecommendsComment from 14 Sep 2026 in “Open-source AI and open models reading list”

“Sebastian's blog posts on recent architectures are absolutely great too.”

RecommendsComment from 24 Aug 2026 in “I were 17, I'd learn how to build LLMs from scratch”

“straight to the point yet very easy to grasp it was”

RecommendsComment from 28 Jul 2026 in “Kimi K3 Architecture Overview and Notes”

“This seems like a rare gem in a space swamped with lazily LLM generated summaries.”

RecommendsComment from 28 Jul 2026 in “Kimi K3 Architecture Overview and Notes”

“I've always enjoyed his work!”

RecommendsComment from 28 Jul 2026 in “Kimi K3 Architecture Overview and Notes”

“Sabastian Raschka is one of the great LLM researchers/authors”

RecommendsComment from 28 Jul 2026 in “Kimi K3 Architecture Overview and Notes”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.