The AI That Learned to Understand Long After It Stopped Trying
They trained a tiny neural network, far smaller than anything that gets called "AI" today, on one of the simplest tasks imaginable: modular addition, basically clock math. What is 8 plus 7 if the clock only goes up to 12? The answer is 3.The network learned this almost immediately.
- ▪They trained a tiny neural network, far smaller than anything that gets called "AI" today, on one of the simplest tasks imaginable: modular addition, basically clock math.
- ▪What is 8 plus 7 if the clock only goes up to 12?
- ▪The answer is 3.The network learned this almost immediately.
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| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/the-ai-that-learned-to-understand-long-after-it-stopped-trying/ |
| Publication time | Mon, 28 Sep 2026 12:30:01 GMT |
| Retrieval time | 2026-09-28T12:31:07.297Z |
| Last seen | 2026-09-28T12:31:07.297Z |
| 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 | yXGvGf7rWJkU · 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 |
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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
Machine LearningThe AI That Learned to Understand Long After It Stopped TryingA small, strange discovery in machine learning called grokkingUtkarsh MangalSeptember 28, 20265 min readSomewhere in that bottleneck, more gets packed in than there's officially room for.In 2022, a small team of researchers ran an experiment that should have been unremarkable. They trained a tiny neural network, far smaller than anything that gets called "AI" today, on one of the simplest tasks imaginable: modular addition, basically clock math. What is 8 plus 7 if the clock only goes up to 12? The answer is 3.The network learned this almost immediately. Within a thousand training steps it was answering every practice question correctly.Then the researchers tested it on questions it had never seen before.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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