Supply Chain 5 Bizarre Truths About Modern Logistics That AI is Forcing Us to Confront Introduction: The Deceptive Simplicity of A-to-B Here is a simple problem: move a thing from Point A to Point B. That’s it. That’s logistics. A child with a toy car solves it a hundred times a day. Humanity has been solving it since we first decided one rock
AI The Slow Collapse of SaaS A shift is happening in software. SaaS still works, but the center of invention has already moved somewhere else. This is not a crash, but a slow collapse of a model that no longer matches where leverage now lives. How SaaS Became Central SaaS became dominant because it removed friction.
Energy Featured The Grid Is Becoming the First Real AI System Forecasting in energy is shifting from estimating a single future to modeling distributions of possible futures under changing conditions. This piece describes why that shift is happening, and why the tools have to evolve with it. The Legacy Assumption of Smooth Futures US energy planning tools were originally built inside
AI GPT-2 Source Code Notes, Part 3: The Transformer Anatomy (model.py) The GPT-2 model definition shows the transformer in its pure, uncluttered form. This article breaks down the block structure, residual pattern, MLP expansion, and weight tying.
AI GPT-2 Source Code Notes, Part 2: Sampling and Generation (sample.py) Sampling in GPT-2 is almost minimalistic. Here we look directly at top-k, temperature, and the single-token autoregressive loop that drove early generation behavior.
AI GPT-2 Source Code Notes, Part 1: The Tokenizer (encoder.py) GPT-2’s tokenizer is surprisingly readable. This article walks through how the reversible bytes to unicode mapping and BPE merge list actually work in practice.
