Finally got the batteries and buck converters for powering stuff

I need to get black wires before I burn this setup…

This must be the best feature

First Grok, now OpenAI - we wanted AGI but got erotica

Got these 2 bucked powered from a single battery, so the upper one outputs 6v and the lower one shows 5v and a fuse just in case

Elk haul ✅

Slowly building a home lab

We’ve all noticed that today

1 burned ESP later the battery cell monitoring works So I have 12v LiPo and wanted to monitor its total voltage + per cell voltage First attempt - shorted ESP, but now I have the setup that - powers 2 bucks from a single battery - monitors each cell (with low pass filter +

Finally, I’m satisfied with my battery management system and can put everything together on a perfboard So a single 12v 3S LiPo is split into 2 lines - one for controllers (ESP) and another for the motors (2 bucks that lower the source voltage to 5v and 6v) Then I thought that

Amazon has over 1.5M full-time employees, so they remove 2% it’s like a small company of 100 would remove 2 employees

Finally getting components from China for my robotics stuff

Part 1: 30% of Microsoft code is written by AI Part 2:

Been soldering my BMS and the first part, buck control, works

First time designing, prototyping, and then soldering a system on a perf board - a battery management system for a 3S LiPo (12V) An idea of the system is following: take the battery, split it into 2 power lines with 2 buck converters - one for the motors and another for the

Let’s hear how great regulation is for making Europe AI competitive €2.6 billions in funding and a few years of work and presenting nothing of real substance

Spent a few hours fighting OV7670 camera to make it work at a decent speed with ESP32S3 and it finally works! So, the OV7670 is a $3 camera module that outputs raw parallel data. Just 8 data pins screaming pixels plus timing signals (PCLK, HREF, VSYNC) What Made This Hard 1.

STM32, here we go

Trained and deployed a gesture recognition CNN on an ESP32-S3 microcontroller The setup: - OV7670 camera module (120x160 grayscale) - ESP32-S3 for capture + inference - TensorFlow Lite Micro runtime The model: - Binary classification (open palm vs closed fist) - 4-layer CNN