AI & Machine Learning

15 Years of ML Notes: Why Continuous Learning Beats Static Books

A developer's 15-year journey maintaining machine learning notes has resulted in an 8.8K-star GitHub repository that challenges traditional textbook publishing. This article explores why living documentation matters more than ever in 2026's fast-moving AI landscape.

10 min read | 4 views | Jan 06, 2026

The Real Review of 'Deep Learning' by Goodfellow et al.

The classic 'Deep Learning' textbook by Goodfellow, Bengio, and Courville is legendary, but is it still relevant in 2026? We dive into the real community experience, answering the burning questions about its practical value, difficulty, and who should actually read it.

12 min read | 6 views | Jan 04, 2026

Building a CNN in x86 Assembly: Why and How in 2026

In late 2025, a developer stunned the ML community by implementing a full Convolutional Neural Network classifier entirely in x86-64 assembly. We break down why this extreme project matters, the immense technical hurdles, and what it teaches us about the fundamentals of AI.

10 min read | 8 views | Jan 03, 2026

Hands-On Machine Learning: Scikit-Learn vs PyTorch in 2026

Navigating the world of machine learning tools can be overwhelming. This comprehensive guide breaks down when to use Scikit-Learn vs PyTorch, where to find legitimate resources, and how to build practical skills without breaking the bank.

14 min read | 8 views | Jan 02, 2026

The TRUMP AMERICA AI Act: Why It's Worse Than You Think

The TRUMP AMERICA AI Act isn't just another piece of tech legislation—it's a fundamental reshaping of how AI gets built, deployed, and controlled in the United States. From chilling open-source development to creating unprecedented surveillance powers, here's why the reality is worse than the headlines suggest.

10 min read | 9 views | Jan 02, 2026

Building Lightweight Face Anti-Spoofing Models for Low-End Hardware

Discover how to build efficient Face Anti-Spoofing models that actually work on low-end hardware. This practical guide covers everything from dataset selection to deployment, based on real-world experience training models that detect photo and screen attacks.

12 min read | 8 views | Dec 30, 2025

How I Landed an AI Engineer Job in 2025: A Realistic Guide

Breaking into AI engineering in 2025's competitive market requires more than just knowing Python. Here's the exact roadmap I followed—from skill-building to interview strategies—that actually worked.

12 min read | 9 views | Dec 29, 2025

Deepfake AI in Politics: The Maine Governor Case & What's Next

A 2025 political ad used AI to fabricate a video of Maine Governor Janet Mills. This case study examines the technology, its implications for democracy, and how we can fight disinformation.

9 min read | 11 views | Dec 22, 2025

Building a Claude Resource Hub: Community Feedback & Expert Guide

Building a free Claude resource hub requires balancing community needs with sustainable design. This guide explores key insights from AI enthusiasts, addresses common concerns, and provides actionable strategies for creating a valuable resource in 2025.

12 min read | 12 views | Dec 22, 2025

How to Learn Machine Learning Efficiently (Even With Procrastination)

Learning machine learning efficiently requires more than just technical knowledge—it demands overcoming the procrastination that derails most learners. This guide provides a structured 2025 approach with psychological strategies and practical systems to build consistent momentum.

11 min read | 12 views | Dec 21, 2025