KW Norton Borders alternatives: newsletters like it
7 newsletters in the NewsletterFIT index cover the same topics as KW Norton Borders (AI training methodology, Reward hacking and Goodhart's law). The closest matches are Only Dead Fish, 3impact and Kavez Playground. They are ranked by how many topics they share with it, then by publicly shown subscribers.
Updated Nov 12, 2026 · ranked by shared topics, then publicly shown subscribers · methodology
About KW Norton Borders
Mom of 6 grown kids: 2 tech executives, 2 musicians, 2 psychologists. 10 grandchildren. Writer, Musician, seamstress for the band. Married to a genius. Born Berkeley, CA. Many thousands of readers.
- AI training methodology
- Reward hacking
- Goodhart's law
- Thermodynamics in computing
- 1Only Dead Fish14K subscribers
SubstackWeekly · last post 13 days ago
From recent posts: Only Dead Fish publishes weekly articles analyzing the intersection of AI, organizational behavior, and human psychology. The content focuses on specific themes such as Goodhart's Law, context collapse, and the erosion…
Likely audience: Product managers
1 shared topic
- 23impact3K subscribers
SubstackEvery two weeks · last post 10 days ago
Entre Gs, un espacio donde vamos a hablar sin filtros sobre lo que realmente pasa cuando trabajamos en ONGs, fundaciones y organizaciones sociales en América Latina.
Likely audience: NGO and foundation managers
1 shared topic
- 3
LinkedInMonthly or less · last post 23 days ago
Play. Learn. Build the Future. Monthly updates on code, AI, and robotics from Kavez.
Likely audience: AI safety researchers
1 shared topic
- 4
SubstackMonthly or less · last post 10 days ago
An attempt to blur out disciplinary boundaries.
Likely audience: AI safety researchers
1 shared topic
- 5
SubstackMonthly or less · last post 37 days ago
Essays about technological development in the medium term.
Likely audience: AI safety researchers
1 shared topic
- 6
SubstackMonthly or less · last post Aug 19, 2026
This blog discusses research ideas about building AI safely and responsibly from the Google DeepMind alignment team.
Likely audience: AI safety researchers
1 shared topic
- 7
SubstackMonthly or less · last post Sep 1, 2026
a thousand little improvements
Likely audience: Software engineers
1 shared topic
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