Companies Are Just a Graph of Algorithms
The article discusses how companies can be viewed as a collection of algorithms, emphasizing the importance of understanding these processes. It highlights the role of AI in optimizing business workflows and reducing inefficiencies. The author suggests that consulting firms will lead the charge in helping businesses achieve transparency and continuous optimization through AI.
- ▪Companies can be understood as a collection of algorithms that define their operations.
- ▪AI has the potential to optimize workflows by identifying redundancies and inefficiencies.
- ▪Consulting firms will play a crucial role in helping businesses leverage AI for continuous improvement.
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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 | Danielmiessler |
| Canonical URL | https://danielmiessler.com/blog/companies-graph-of-algorithms |
| Publication time | Mon, 25 May 2026 04:00:48 +0000 |
| Retrieval time | 2026-05-25T04:37:35.966Z |
| Last seen | 2026-05-25T04:37:35.966Z |
| 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 | k4ieKTGqQ6Xv |
| 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
I think the reason so many people don't understand how big AI is going to be is that they don't understand that everything is an algorithm.Specifically, they don't realize that companies are just a collection of algorithms.What do I mean by that?Well, let's say that your company takes pictures, cleans them up, stylizes them, and adds a caption—which customers can then download in a large format. Let's call the company Memories.The company started in the early 2000's, founded by an artist/photographer, and here's how it works:The user uploads the best quality digital image that you have of the photo, or sends it to the companyMemories receives it and does a high-quality scan—checking quality and repairing any damage using old-school photography techniques + PhotoshopThen they stylize the…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Danielmiessler.
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