Richmond Secondary School

Programming
Club

An elite high-school engineering collective. We build systems, study frontiers, and ship code that matters. Offline-first documentation, weekly deep-dives, and a workshop that rewards precision.

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Offline Documentation
Cache Topics

Every resource is mirrored locally. No internet required for study sessions. Updated weekly from our upstream mirrors.

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Algorithms

Sorting, graph, DP

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Data Structures

Trees, hash maps, heaps

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Systems

OS, memory, concurrency

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Web

HTTP, rendering, APIs

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Compilers

Parsing, IR, codegen

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Math

Linear algebra, calculus

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/research

Research
Frontiers

We track and discuss the most significant advances in machine learning and systems research. These are our current areas of focus.

BitNet

1.58-bit transformer architecture

Scaling laws for 1-bit neural networks. BitNet demonstrates that large language models can be trained and deployed using ternary weights (-1, 0, +1), achieving competitive perplexity with full-precision models at a fraction of the memory and energy cost.

arXiv:2310.11453|indexed

Mamba

State space sequence modeling

A selective state space model that matches Transformer quality on language modeling while achieving linear-time inference. Mamba introduces input-dependent state transitions that let the model selectively propagate information along the sequence dimension.

arXiv:2312.00752|indexed

SSM

Structured state space models

The foundational framework unifying recurrent, convolutional, and continuous-time views of sequence modeling. S4 and its descendants parameterize structured state matrices to efficiently model long-range dependencies in LTI systems.

arXiv:2201.12039|indexed
/connect

Join the
Workshop

Weekly meetings

Every Thursday after school · Room 204, Richmond Secondary School

Prerequisites

No prior experience required — just curiosity and a willingness to build.

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