Ask HN: Onboarding LLMs or Students?
The article discusses the effectiveness of using large language models (LLMs) in educational settings. It emphasizes the importance of teaching students not just to obtain answers, but to understand the reasoning behind them. The author suggests that integrating LLMs into the learning process can enhance students' ability to learn how to learn.
- ▪The article questions whether the primary goal is learning or simply obtaining answers.
- ▪It suggests that students should be encouraged to engage with LLMs in a more meaningful way.
- ▪The author advocates for teaching students how to extract reasoning from LLM responses.
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Story provenance
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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 | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=48158340 |
| Publication time | Sat, 16 May 2026 09:04:10 +0000 |
| Retrieval time | 2026-05-16T09:10:17.965Z |
| Last seen | 2026-05-16T09:10:17.965Z |
| 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 | vsDzHDk1Rgn_ |
| 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
Is the goal really learning here? If so what prevents the students from just go straight to a separate LLM?I think you need to get the students to buy in and then provide them a claude skill or something more integrated that teaches the why behind the llm answer. Today getting the what is incredibly easy and thats not going away, helping the student learn how to learn from the LLM, how to pull out the why and building tools to help with that seem like a better path to me
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.