30 Sep 2025 Early this year, NVIDIA released their new raytracing technology, RTX Mega Geometry, alongside an impressive Zorah demo. This demo was distributed as a ~100 GB Unreal Engine scene – that can only be opened in a special … Read more
Back in November last year, I started a new job at Intercom, and one of the first projects I got to work on was improving the Intercom monolith CI with some of my new colleagues. Interestingly, I never got around … Read more
Just as useless of an idea as LLMs.txt was It’s all dumb abstractions that AI doesn’t need because AIs are as smart as humans so they can just use what was already there, which is APIs LLMs.txt is indeed useless, … Read more
By Ming Ying on February 13, 2026 In databases, Top K means “give me the K best rows, ordered by some column or value.” Commonly that means “the most recent rows,” “the highest scores,” or “the largest values.” It feels … Read more
Netflix Technology Blog 9 min read · 2 days ago — By Harshad Sane Ranker is one of the largest and most complex services at Netflix. Among many things, it powers the personalized rows you see on the Netflix homepage, … Read more
Datalog primer and a neat data structure Optimizing Datalog for the GPU Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Sidharth Kumar, and Kristopher Micinski ASPLOS’25 Datalog Primer Datalog source code comprises a set of relations, and a set of rules. … Read more
When I set out to write a program that would allow me to do basic digital photography on the Apple II, I decided I would do it with the Quicktake cameras. It seemed the obvious choice as they were Apple … Read more
This is a guest post from Jiebin Sun, Zhiguo Zhou, Wangyang Guo and Tianyou Li, performance optimization engineers at Intel Shanghai. Intel’s latest processor generations are pushing the number of cores in a server to unprecedented levels – from 128 … Read more
Monday. June 30, 2025 – 44 mins Table of contents Baseline implementation (43.1 s) How it works Parser Example: (1 + 2) – 3 It works! But we can do better Optimizations for speed and memory Optimization 1: Do not allocate a … Read more
How local, learnable routers can reduce token overhead, lower costs, and bring structure back to agentic workflows. Modern agentic architectures rely heavily on chaining LLM calls. A typical pattern looks like: Use an LLM to decide which tool to invoke … Read more