AI versus Throughput
AI versus ThroughputPosted on 11 May 2026According to the Theory of Constraints (ToC), every system has exactly one bottleneck that determines the throughput of the overall system. ToC originated with manufacturing, but its results have been observed to be quite general.In the diagram above, the whole process cannot deliver any faster than Station 2 is able to transform its buffer stock of unfinished inventory into its own output. Suppose you make Station 3 run ten times faster than it did last week, leaving everything else the same.
- ▪AI versus ThroughputPosted on 11 May 2026According to the Theory of Constraints (ToC), every system has exactly one bottleneck that determines the throughput of the overall system.
- ▪ToC originated with manufacturing, but its results have been observed to be quite general.In the diagram above, the whole process cannot deliver any faster than Station 2 is able to transform its buffer stock of unfinished inventory into it
- ▪Suppose you make Station 3 run ten times faster than it did last week, leaving everything else the same.
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| Original publisher | Michaelnygard |
| Canonical URL | https://www.michaelnygard.com/blog/2026/05/ai-versus-throughput/ |
| Publication time | Mon, 14 Sep 2026 03:05:54 +0000 |
| Retrieval time | 2026-09-14T03:11:52.568Z |
| Last seen | 2026-09-14T03:11:52.568Z |
| 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 |
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| 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
AI versus ThroughputPosted on 11 May 2026According to the Theory of Constraints (ToC), every system has exactly one bottleneck that determines the throughput of the overall system. ToC originated with manufacturing, but its results have been observed to be quite general.In the diagram above, the whole process cannot deliver any faster than Station 2 is able to transform its buffer stock of unfinished inventory into its own output. Suppose you make Station 3 run ten times faster than it did last week, leaving everything else the same. The overall process throughput won’t change.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Michaelnygard.
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