Collection of Reading Blogs and Others
Systems and Databases
How Does a Database Work? | Let’s Build a Simple Database Hands-on mini-DB project that teaches pages, B+ trees, WAL, and a slice of SQL parsing.
OS in 1000 Lines Pedagogical micro-kernel showing processes, scheduling, and drivers in ~1k lines.
Linux Internals Readable tour of Linux boot, paging, interrupts, processes, and x86 details.
Data science and Machine Learning
Virgilio Data Science Community roadmap from fundamentals to MLOps with curated learning paths.
Interpretable Machine Learning Open book on XAI methods (SHAP, LIME, partial dependence, counterfactuals).
Brandon Rohrer Intuition-first explanations of core ML ideas, visuals over formulas.
The Transformer Model, Explained Interactive explainer of tokens, attention, and training dynamics.
An Opinionated Guide to ML Research Practical advice on scoping, iteration speed, and avoiding dead ends.
RL Grokking Recipe How Can We Enable LLMs to Solve Previously Unsolvable Tasks with RL Step-by-step Notion playbook for aligning LLMs via RL to hard tasks.
Defeating Nondeterminism in LLM Inference - Thinking Machines Lab Engineering tactics for reproducible, stable LLM outputs in production.
GitHub - stas00/ml-engineering: Machine Learning Engineering Open Book Massive reference on training, scaling, and deploying modern ML systems.
Understanding Different Cross Entropy Loss Deep-dive into variants and edge cases of cross-entropy for classification.
The Illustrated AlphaFold Visual guide to AlphaFold’s ideas and why they worked.
ML for Protein Structure Prediction: AlphaFold2 Architecture (YouTube) Lecture walkthrough of AlphaFold2’s architecture and data flow.
The Case for AGI by 2030 – 80,000 Hours Forecast-driven argument for timelines and associated risks.
Voice AI & Voice Agents – An Illustrated Primer Concepts, pipelines, and challenges in building conversational voice agents.
Designing a Reward Function (Ether0 case study) Practical reward-design pitfalls and a real-world RL case study.
4-Stage Roadmap for AI/ML MOC-style path from math basics to cutting-edge ML skills.
ML Resources MOC Meta-collection of high-quality courses, guides, and readings.
LLMs Visually Explained Interactive tools to poke at attention, heads, and embeddings.
Intro to Transformers (Google Slides) Straightforward deck for newcomers bridging to modern LLMs.
2025 AI Engineering Reading List – Latent Space Curated “must-reads” with commentary for practitioners.
AI-Enabled Coups – Forethought Scenario analysis of potential AI misuse in destabilizing contexts.
PyTorch Internals Pytorch Internals Explained by Zhang!
Large Language Model Optimization: Memory, Compute, and Inference Techniques Personal Notes
The FASTEST introduction to Reinforcement Learning on the internet
Browser Internals
Chrome: Inside Browser Part 1 Overview of Chrome’s multi-process architecture and sandboxing.
Chrome: Inside Browser Part 2 How navigation, resource scheduling, and loading are orchestrated.
Chrome: Inside Browser Part 3 Parsing, layout, painting, and the compositor pipeline.
Chrome: Inside Browser Part 4 Performance, security, and site isolation in practice.
Project Building Tutorial's!
GitHub - kanaka/mal: mal - Make a Lisp Build a Lisp interpreter step-by-step to learn parsers, eval, and REPLs.
Build Redis from scratch Implement a Redis-like server to grok protocols, networking, and storage.
Hardware, Computing, Algorithms
Inside NVIDIA GPUs: Anatomy of high performance matmul kernels - Aleksa Gordić
A History of Nvidia’s Multiprocessors
Nerdy, accessible review of GPUs’ architectural advances in the Nvidia ecosystem.GPU Glossary
Mini-dictionary of GPU/AI hardware terms for newcomers and advanced readers alike.
Some Brief Explanations of GPU's Explaining Notes on GPU's
A History of Nvidia’s Multiprocessors
Nerdy, accessible review of GPUs’ architectural advances in the Nvidia ecosystem.How Does Computer Memory Work? (YouTube)
Explainer for memory hierarchies, RAM, cache, and system performance ties.GPU Glossary
Mini-dictionary of GPU/AI hardware terms for newcomers and advanced readers alike.Exploring How Computers Work (YouTube Playlist)
Video series breaking down computers, processors, and hardware design.Algorithms for Modern Hardware – Algorithmica
Free, substantial online book on algorithms tailored for “modern hardware” realities (RAM, cache, etc.).Smooth Computer Algorithms (YouTube)
Visual breakdown of “fancy” real-time algorithms that power smooth user experiences.Fluid Simulation on a Planet (YouTube)
Nifty programming + physics project on simulating fluid dynamics at planetary scale.Nvidia’s Roadmap for Embodied AI (YouTube)
Talk on Nvidia’s vision for AI “agents” with embodiment—robotics and RL context.Inside the Miracle of Modern Chip Manufacturing
Photo-illustrated journey through how modern chips are made—semiconductor perspective.Reimagining DRAM Scaling – Eye Candy (YouTube)
Visual tour of DRAM chip development challenges as memory gets denser and faster.Tiny TPU
Open hardware/DIY exploration of energy-efficient ML accelerators (Google TPU style).Hardware Engineering Interview Resources
Career-oriented compilation of technical questions and advice for hardware/AI infra roles.How to Program a GPU? (CUDA C/C++ YouTube Mini-Project)
Walkthrough for those wanting to experiment with CUDA and GPU programming from scratch.