HyperLogLog and Count-Min Sketch in Go for Big Data https://sudonull.com/hyperloglog-and-count-min-sketch-in-go-for-big-data
Implementation of HyperLogLog and Count-Min Sketch in Go: code, benchmarks, comparison. Estimating uniqueness and frequencies with minimal memory for data streams. For middle/senior devs.
Deterministic AI Validation: End of the GPU Race https://sudonull.com/deterministic-ai-validation-end-of-the-gpu-race
Learn why probabilistic AI models are inefficient and how a deterministic firewall on WebAssembly solves hallucinations. ASIC vs GPU benchmarks: 400x energy savings. For developers.
Modeling Luck in IT Career https://sudonull.com/modeling-luck-in-it-career
Learn how probabilistic models explain the role of randomness in developers' success. Simulations of asymmetric systems, threshold effect, and adaptability strategies. Read the analysis for middle/senior.
ClickHouse aggregate functions: uniqHLL12, quantileTDigest, topK https://sudonull.com/clickhouse-aggregate-functions-uniqhll12-quantiletdigest-topk
uniqHLL12 for fast unique users, quantileTDigest for distributions, groupArray, topK, -If combinators. Examples of GGR, cohorts, retention.