Interesting things I've read on the internet

How and why Netflix built a real time distributed graph AI Systems Engineering Patterns Bottom up programming as the root of LLM dev skepticism Direct Preference Optimization Explained The smol training playbook Reinforcement Learning from Human Feedback Essential Guide to Hiring a VP/CTO for Startups Reflections and Rantings from a System Design Interviewer Nvidia's $20B Antitrust Loophole Compressed Filesystems á la Language Models Some Reasons to work on Productivity and Velocity Quantization Decisions made in the development of Kimi K2 Thinking Sam Altman's Start up Playbook Performance Hints Cursor Migrating it's CMS to code The continual learning problem An efficient way to compute if two triangles overlap Activation Aware Weight Quantization OpenEvolve Load Balancing Algorithm Recursive Language Models Your data model is your destiny Beating L1 cache with value speculation Why do we compare everything to the first piece of information we receive? Faster Index Builds and Scalable Queries with GPU CAGRA in Milvus The Quick and Dirty Genius of Luhn Algorithm Anchored Diffusion Language Model (ADLM) MeshSplatting: 3D Gaussian Splatting with Mesh