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How I Use "AI" (2024)

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TL;DR · WeSearch summary

I don't think that "AI" models [a] I hate this word. But I want people who use this word, and also people who hate this word, to find this post. And so I guess I'm stuck with it for marketing, SEO, and clickbait. (by which I mean: large language models) are over-hyped.

Key facts
How this story was covered

2 outlets in our directory ran this story, first to last over 20 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 6,671 of its stories.

Original article
Carlini
Read full at Carlini →

Story provenance

Source · retrieval · rights · ranking — open for full record
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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 publisherCarlini
Canonical URLhttps://nicholas.carlini.com/writing/2024/how-i-use-ai.html
Publication timeMon, 28 Sep 2026 08:54:22 +0000
Retrieval time2026-09-28T09:11:07.049Z
Last seen2026-09-28T09:11:07.049Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusteraJQXDRMzkRZx · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

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

I don't think that "AI" models [a] I hate this word. It's not AI. But I want people who use this word, and also people who hate this word, to find this post. And so I guess I'm stuck with it for marketing, SEO, and clickbait. (by which I mean: large language models) are over-hyped. Yes, it's true that any new technology will attract the grifters. And it is definitely true that many companies like to say they're "Using AI" in the same way they previously said they were powered by "The Blockchain". (As we've seen again, and again, and again, and again.) It's also the case we may be in a bubble. The internet was a bubble that burst in 2000, but the Internet applications we now have are what was previously the stuff of literal science fiction.

…

Excerpt limited to ~120 words for fair-use compliance. The full article is at Carlini.

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