Ideas Weave Every Narrative with AI.
We didn’t abandon old technology because it stopped working. We abandoned it because we stopped caring how it felt. A new project bridges an unmodified 1950s rotary phone to a modern LTE network using an ESP32-S3, proving that old tech isn’t dead—the networks just moved.
Weather data is tiny — a few bytes of JSON. Yet typical weather apps consume hundreds of megabytes of RAM. The real inefficiency isn’t the app; it’s the entire OS and GUI stack it runs on. An ESP32 with an ePaper screen can do the same job with a few kilobytes. Efficiency is a design choice we’ve stopped making.
The ‘vibe coding’ hype is wrong. One engineer used AI as a research assistant, not a crutch, to build an open-source ESP32 bowling lane automation system. The result? A real project that works — and a lesson in why owning your design decisions still matters.
An $8 ESP32-S3 microcontroller just trained a language model from scratch—319K parameters, two days, zero cloud. It barely works, and that’s the point. While the industry obsesses over scaling up, the real frontier is scaling down: AI that learns on-device, preserves privacy, and costs less than lunch. The underdog era of AI has begun.
Babe32 is a $5 ESP32 microcontroller that can browse the web in monochrome, proving that modern web bloat is not a necessity—it’s a choice. This minimalist browser challenges assumptions about digital equity, environmental impact, and what we truly need from the internet. It’s a quiet rebellion against the corporate, ad-ridden, resource-hungry web we’ve accepted as normal.
A developer ran Linux on a $5 ESP32 chip—a task so absurd it’s brilliant. The system is painfully slow, but it redefines the minimum hardware threshold for a modern OS. This isn’t about practicality; it’s about exposing the hidden overhead we take for granted and proving that software can brute-force reality.
A popular ESP32-based ‘radar’ project is actually just an API consumer for adsb.fi. This isn’t a critique of the project—it’s a wake-up call for the maker community. We’ve traded real engineering for convenience, building fragile interfaces to cloud services instead of devices that actually sense the world. Are we building sensors or just signs?