If you feel the need to tell me your answer is AI-based, work it more
Entropic The hidden cost of AI is someone else’s time For the first time in history, producing content can be faster than consuming it. The genie is out of the bottle and GenAI is here to stay. What we can influence is the etiquette around its usage.
- ▪Entropic The hidden cost of AI is someone else’s time For the first time in history, producing content can be faster than consuming it.
- ▪The genie is out of the bottle and GenAI is here to stay.
- ▪What we can influence is the etiquette around its usage.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,341 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | Cephalosec |
| Canonical URL | https://cephalosec.com/blog/the-hidden-cost-of-ai-is-someone-elses-time/ |
| Publication time | Sun, 26 Jul 2026 08:22:48 +0000 |
| Retrieval time | 2026-06-30T07:59:24.302Z |
| Last seen | 2026-06-30T07:59:24.302Z |
| 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 | 5nCxClFYstme |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| 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
Entropic The hidden cost of AI is someone else’s time For the first time in history, producing content can be faster than consuming it. The genie is out of the bottle and GenAI is here to stay. What we can influence is the etiquette around its usage. Morgan Hotonnier 30 Jun 2026 — 6 min read Share I have a love-hate relationship with Large Language Models. At first, I'm like a kid assisting a magic show. I remember how amazed I was when I saw the first tech demo for ChatGPT Omni and its cough definitely-not-Scarlet-Johansson's voice. The movie “Her” was getting real. Yet, besides some very specific use case like using LLMs as the new Google for everyday troubleshooting, I'm frustrated by AI more often than I'm delighted with it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Cephalosec.
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