Show HN: A narrative walk through AI history, paper by paper (1936–2025)
A new resource offers a narrative journey through the history of artificial intelligence from 1936 to 2025. It presents 66 chapters across eight eras, summarizing key papers and moments in a straightforward manner. This compilation aims to make AI's evolution accessible to both newcomers and seasoned professionals alike.
- ▪The resource includes 66 chapters spanning eight eras of AI history.
- ▪Each chapter provides a plain-language summary of significant papers and theories.
- ▪Readers can expect to spend about 12-15 hours to complete the entire narrative.
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 | GitHub |
| Canonical URL | https://github.com/hgus107/A-Long-Walk-of-AI |
| Publication time | Tue, 28 Apr 2026 05:37:00 +0000 |
| Retrieval time | 2026-04-28T05:39:00.702Z |
| Last seen | 2026-04-28T05:39:00.702Z |
| 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 | nRN0Gmw8sKHV |
| 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
Era · 1936 → 2025 | 66 chapters across 8 eras | License · MIT The internet is drowning in writing about AI — its history, its breakthroughs, the technical leaps that brought us here. And yet, somewhere in all of that, a gap remains. A gap where a curious reader — a teenager just discovering the field, or a seasoned engineer who never had time to look back — can sit down and read the whole thing like a story. One place where the pieces connect. Not a link to a paper buried in a journal. Not a few scattered lines on a Wikipedia page. Not a random collection of names and dates. A deliberate, sequential walk through the moments that mattered — the ones where one idea cracked open the door for the next.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.