Modern railway gauge is allegedly the width of two Roman horses' rear ends. The story is mostly false — but the part that's true is the same force that's bankrupting your engineering org right now. A meditation on path dependence, sharpening the axe, and the migration that took five years because someone made a coin-toss decision in 2014.
AI removed the bottleneck on shipping code. It didn't remove the bottleneck on understanding it. That mismatch is creating a new class of failures — and a 40-year-old CS paper predicted exactly why.
A $3,500 Mac Studio replaces $25,000/year in cloud GPU costs for local LLM inference. The math isn't even close—and the gap widens with every hardware generation. Here's the economic case for Apple Silicon as your team's AI backbone.
With a likely reversal of Section 174's R&D amortization rules on the horizon, tech companies are preparing for a new era in hiring and innovation. Here's what founders and engineering leaders need to know about the future of tax, hiring, and growth in the software sector.
Apple might be the only company getting AI right—not by shipping faster or talking louder, but by bypassing the hype and focusing on what will actually matter to consumers in the years to come. While many chase viral demos and headline features, Apple appears to be playing a slower, more deliberate game. And that may be the smarter path.