Show HN: The AI cycle and it's token usage market
The AI cycle and it's token usage marketRowsan and RaylinementJul 12, 2026ShareThe way generative AI is totally different than how it should be. Mostly, one of the bigger problems is the gap between understanding value by output and actually using tokens in production, or using more tokens. They measure it by the amount of tokens spent, not by the total value it creates in the end.This is called “Goodhart’s Law,” which means that when measures become the target, they cease to be good measures.
- ▪The AI cycle and it's token usage marketRowsan and RaylinementJul 12, 2026ShareThe way generative AI is totally different than how it should be.
- ▪Mostly, one of the bigger problems is the gap between understanding value by output and actually using tokens in production, or using more tokens.
- ▪They measure it by the amount of tokens spent, not by the total value it creates in the end.This is called “Goodhart’s Law,” which means that when measures become the target, they cease to be good measures.
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Record
| Original publisher | Hacker News (AI / LLM) |
| Canonical URL | https://raylinement.substack.com/p/the-ai-cycle-and-its-token-usage |
| Publication time | Mon, 27 Jul 2026 12:46:36 +0000 |
| Retrieval time | 2026-07-27T12:51:17.992Z |
| Last seen | 2026-07-27T12:51:17.992Z |
| 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 | CMzMsZkUP4Sn · 1 stories |
| 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
The AI cycle and it's token usage marketRowsan and RaylinementJul 12, 2026ShareThe way generative AI is totally different than how it should be. Mostly, one of the bigger problems is the gap between understanding value by output and actually using tokens in production, or using more tokens. They measure it by the amount of tokens spent, not by the total value it creates in the end.This is called “Goodhart’s Law,” which means that when measures become the target, they cease to be good measures.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).
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