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Record · corpus.blog/posts/01a11b9d-5ef1-723d-b0a4-186103c6a84f

Core views on AI safety: When, why, what, and how

Anthropic · 9 September 2026 · 28 min read

A post on anthropic.com, published 9 September 2026, is cited by 11 distinct blogs to date (corpus.blog, measured 8 October 2026).

A record is what was published and who pointed at it. The text of the post is not held here: read it at the source, or at its Wayback capture.

Read the post at anthropic.com (opens in a new tab) Wayback capture (opens in a new tab)

11blogs citing

Citing blogs and links by period
Period Blogs Links
All time1114
Last 90 days11
Last 30 days11
Last 7 days00
Figures for this page
First cited1 Mar 2024
Latest citation9 Sept 2026
Anchor phrases5
External links18
Words captured6,348
New citing blogs a weeksince Mar 2024
New citing blogs a week, since Mar 2024: 137 weeks, peak 1 a week, latest week 0

0 this week (still settling) · peak 1

Show as table
New citing blogs a week, week by week
Week of Value
26 Feb 20241
4 Mar 20240
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28 Sept 20260 (still settling)
5 Oct 20260 (still settling)

Shape: slow burn. Half of its 11 citing blogs had cited it after 570 days; 0% first cited it more than a year on.

Each blog counts once, in the week of its first citation. A blog added to the index recently can bring old first citations in at once.

Who cited it

Cited by 11 blogs across 3 subjects: technology 8, business and economics 1, life 1, unclassified 1.

How it is described

The words blogs link this page with, by how many different blogs use them.

  • core views on ai safety5 blogs
  • anthropic2 blogs
  • alignment1 blog
  • anthropic’s plan1 blog
  • blog post1 blog

Cited by 11 blogs in 14 posts

One row per blog, the most recently citing first. Each shows the blog's newest citing post; open a row for the others.

Blog
Newest citing post
Date
somethingbig.ai1 post
The people building AI are scared. We still have a chance to get this right.

linked as “no one knows how to train very powerful AI systems to be robustly helpful, honest, and harmless.”

Read at the source (opens in a new tab)
9 Sept 2026
Steve Kinney1 post
Thoughts on AI Safety

linked as “Core Views on AI Safety”

Read at the source (opens in a new tab)
19 Jun 2026
bjornjeffery.com1 post
The sharp warning rings hollow

linked as “blog post”

Read at the source (opens in a new tab)
5 Jun 2026
Olshansky1 post
Achieving your full potential, safely

linked as “Core Views on AI Safety”

Read at the source (opens in a new tab)
11 Apr 2026
adamjones.me3 posts
Working at Anthropic FAQs

linked as “Core Views on AI safety”

Read at the source (opens in a new tab)
11 Apr 2026
2 other posts
AI as a corporation (or, an intro to AI safety?)

linked as “core views on AI safety”

Read at the source (opens in a new tab)
14 Jul 2024
Why having a human-in-the-loop doesn't solve everything

linked as “Anthropic”

Read at the source (opens in a new tab)
7 Jul 2024
csanyk.com1 post
AI hallucination in the wild

linked as “https://www.anthropic.com”

Read at the source (opens in a new tab)
31 Mar 2026
blog.aifutures.org1 post
The world's first frontier AI regulation is surprisingly thoughtful: the EU's Code of Practice

linked as “Core Views on AI Safety”

Read at the source (opens in a new tab)
22 Sept 2025
mdickens.me1 post
Why would AI companies use human-level AI to do alignment research?

linked as “Anthropic’s plan”

Read at the source (opens in a new tab)
25 Apr 2025
timkellogg.me1 post
AI Engineering Primer

linked as “Alignment”

Read at the source (opens in a new tab)
19 Dec 2024
bluedot.org2 posts
Why are people building AI systems?

linked as “Anthropic”

Read at the source (opens in a new tab)
25 May 2024
1 other post
What is AI alignment?

linked as “Anthropic”

Read at the source (opens in a new tab)
1 Mar 2024
Transformer Circuits1 post
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet

linked as “Core Views on AI Safety”

Read at the source (opens in a new tab)
21 May 2024

Links from this post

Link
Host
https://arxiv.org/pdf/2005.04305.pdf Who cites this page
arxiv.org
https://openai.com/blog/ai-and-compute/ Who cites this page
openai.com
https://arxiv.org/abs/2001.08361 Who cites this page
arxiv.org
https://arxiv.org/abs/2005.14165 Who cites this page
arxiv.org
https://arxiv.org/abs/2212.08073?ref=bounded-regret.ghost.io Who cites this page
arxiv.org
https://arxiv.org/pdf/2212.09251.pdf Who cites this page
arxiv.org
https://dl.acm.org/doi/pdf/10.1145/3531146.3533229 Who cites this page
dl.acm.org
https://arxiv.org/pdf/2202.07785.pdf Who cites this page
arxiv.org
https://proceedings.neurips.cc/paper/2017/file/d5e2c0adad503c91f91df240d0cd4e49-Paper.pdf Who cites this page
proceedings.neurips.cc
https://www.governance.ai/research-paper/thinking-about-risks-from-ai-accidents-misuse-and-structure Who cites this page
governance.ai
https://arxiv.org/pdf/2206.13353.pdf Who cites this page
arxiv.org
Mechanistic Interpretability, Variables, and the Importance of Interpretable Bases Read at the source (opens in a new tab)
transformer-circuits.pub
Toy Models of Superposition Read at the source (opens in a new tab)
transformer-circuits.pub
Zoom In: An Introduction to Circuits Read at the source (opens in a new tab)
distill.pub
A Mathematical Framework for Transformer Circuits Read at the source (opens in a new tab)
transformer-circuits.pub
In-Context Learning and Induction Heads Read at the source (opens in a new tab)
transformer-circuits.pub
Superposition, Memorization, and Double Descent Read at the source (opens in a new tab)
transformer-circuits.pub
AI Safety Needs Social Scientists Read at the source (opens in a new tab)
distill.pub
Elsewhere on anthropic.com (3)

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