Reading List
Articles, papers, and resources I’ve found valuable
A curated collection of articles, papers, and resources on AI, machine learning, and data science that I’ve found insightful. Updated regularly.
| Date | Title | Categories |
|---|---|---|
| Feb 2026 | Myths vs. Reality: Data Centers And Water Usage | Environment |
| Jan 2026 | Context Management for Deep Agents | LLMs |
| Jan 2026 | Cursor: Dynamic Context Discovery for Production Coding Agents | LLMs |
| Jan 2026 | Agent Engineering: A New Discipline | LLMs |
| Dec 2025 | 2025 LLM Year in Review | LLMs |
| Jul 2025 | Context Engineering for AI Agents: Lessons from Building Manus | LLMs |
| Jul 2025 | LFM-1B-Math: Can Small Models Be Concise Reasoners? | LLMs |
| Jul 2025 | The New Skill in AI is Not Prompting, It’s Context Engineering | LLMs |
| Apr 2025 | Uncertainty Quantification in Machine Learning with an Easy Python Interface | Statistics, ML |
| Jan 2025 | Agents | LLMs |
| Oct 2024 | A Visual Guide to Mixture of Experts (MoE) | LLMs |
| Oct 2024 | Enhancing LLM-as-a-Judge with Grading Notes | LLMs |
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