
Where do AI norms come from?
Where do AI norms come from?A dialogue with Dr Cat Hicks on ethics, learning, and what we owe each other. Part one: start by listening.Charity MajorsSep 21, 20261422ShareAfter I posted “Confessions of an Unrepentant Slop Snob” on LinkedIn last week, with links to the Honeycomb AI norms and values docs, I got this question from Niklas Lochschmidt:I am curious if you could share more light on the process? It is…less disciplined, which is to say it is all over the fucking map.
- ▪Where do AI norms come from?A dialogue with Dr Cat Hicks on ethics, learning, and what we owe each other.
- ▪Part one: start by listening.Charity MajorsSep 21, 20261422ShareAfter I posted “Confessions of an Unrepentant Slop Snob” on LinkedIn last week, with links to the Honeycomb AI norms and values docs, I got this question from Niklas Lochschmid
- ▪It is…less disciplined, which is to say it is all over the fucking map.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,899 of its stories.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Hacker News (AI / LLM) |
| Canonical URL | https://charity.wtf/p/where-do-ai-norms-come-from |
| Publication time | Mon, 21 Sep 2026 22:42:57 +0000 |
| Retrieval time | 2026-09-21T22:58:49.405Z |
| Last seen | 2026-09-21T22:58:49.405Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Where do AI norms come from?A dialogue with Dr Cat Hicks on ethics, learning, and what we owe each other. Part one: start by listening.Charity MajorsSep 21, 20261422ShareAfter I posted “Confessions of an Unrepentant Slop Snob” on LinkedIn last week, with links to the Honeycomb AI norms and values docs, I got this question from Niklas Lochschmidt:I am curious if you could share more light on the process? Any guidance you would give people in companies that have the friction and internal debates, but maybe haven’t arrived at shared norms and values yet?That’s a great question, and I will answer in just a minute.I feel like this is a great way to kick off something I’ve been looking forward to all year — an old fashioned bloggy dialogue between myself and Dr Cat Hicks, research psychologist…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).