A personal blog by an engineer covering machine learning concepts and operations management, with explanations of the underlying math and practical applications. Posts walk through topics like backpropagation, mutual information feature selection and Little's Law in manufacturing.
Website: https://www.yuzomakitani.com/
Long-form technical overviews that explain important AI research topics, such as LLM evaluation, post-training and reinforcement learning. Readers get first-principles explanations plus practical implementation details drawn from papers and tech reports.
Visual, in-depth guides to new language model releases such as Gemma 4, Gemma 4 12B and DiffusionGemma, explaining their architectures and techniques. The author is an ML engineer and open-source maintainer who builds the explanations from first principles.
Research posts from Redwood Research on catastrophic AI risk, focused on AI control, monitoring of agentic models, and red-teaming of safety systems. Readers get technical write-ups of papers, experiments and engagements with AI developers, including methods, results and open questions.
VarOps publishes data-backed pieces on applied AI, including hands-on benchmarks of new models, critiques of how coding agents are evaluated, and tooling for agent-driven development. Each issue includes disclosures, concrete numbers, and tests readers can run on their own data or history.
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