End of a Semester
The author plans to learn Clojure and PyTorch to enhance their programming skills. They find Clojure's unique approach challenging yet intriguing, especially coming from a TypeScript background. Additionally, they aim to understand AI fundamentals through the book 'Deep Learning for Coders' to improve their development work.
- ▪The author is transitioning from a TypeScript and Dart background to learning Clojure.
- ▪They are exploring the community's positive feedback on Clojure's dynamic typing.
- ▪The author intends to study AI fundamentals using the book 'Deep Learning for Coders' and relevant podcasts.
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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://mtendekuyokwa.github.io/blog/end-of-semester/ |
| Publication time | Tue, 19 May 2026 05:45:14 +0000 |
| Retrieval time | 2026-05-19T06:04:57.336Z |
| Last seen | 2026-05-19T06:04:57.336Z |
| 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 |
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
End of the semester May 19, 2026 TL;DR I plan to learn clojure and pytorch INTRODUCTION Cult repo released a documentary on clojure. One of the lisp dialects. 5 seconds in, I saw a familiar curly guy speaking, but I couldn’t point out where I saw him. Luckily, someone commented on his simple made easy talk and everything clicked. I revisted the talk and thought about how it is so third eye opening. After light pondering I realised the best way to try out what he preached than learn a language he built. Secondly, I have been meaning to grasp AI from a first principles-ish. I think learning PyTorch is the way, in the sense that it provides just the right amount of abstraction I need for a solid grasp. ON CLOJURE Clojure is weird.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Github.
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