Electrical Engineering, Robots, and Pi - With Mario Zechner
TL;DR
Mario Zechner learned electronics fast by building, not by theory: after hating university electrical engineering, he started in summer 2024 with an Arduino kit and maker books, then progressed to custom PCBs and soldering 0.2 mm surface-mount components at home within six months.
The best beginner path was practical tools plus the right books: Zechner bounced off The Art of Electronics, but recommends Make Electronics and Electronics for Beginners by Jonathan Bartlett as the bridge from Arduino tinkering to real circuits and microcontrollers.
His first ambitious project was an automated window opener, and it was almost too much: the build combined 3D printing, motors, microcontrollers, power separation, and control logic, worked in the end, but took two to three months because it stacked too many disciplines at once.
A Halloween 'screaming cauldron' became the first clean win: using an MCU, LED ring, speaker, and distance sensor, he made a cauldron that screamed when kids reached inside, and it also became his first custom PCB, basically a one-layer board acting like a simple motherboard.
The viral robot was hilariously cheap and intentionally scrappy: Zechner bought a €9 toy robot, ripped off its head, added a paper cup, smartphone, and PCB, then used the phone's gyroscope to compensate for the toy's lack of a servo, even though the motor timing was wildly imprecise.
On AI, he rejects the consciousness hype but not the long-term possibility: his argument is that current LLMs lack plasticity, continuity, and grounding, so they are not conscious, while the real issue is people embedding models into surveillance, targeting, and other harmful pipelines today.
The Breakdown
A game developer who was literally scared of batteries taught himself electronics in six months, went from blinking an LED to designing PCBs, and built a €9 toy robot for his four-year-old using a paper cup, a smartphone gyroscope, and sheer stubbornness. Mario Zechner also makes a sharp case that LLMs are not conscious, and says the real danger is not sentient models but humans wiring them into harmful systems right now.
Was This Useful?
Share
Keep Reading
Make Alcreon Yours
Tune your feedFive quick questions, and the feed ranks what matters to you first.Or just get notified
The weekly Echo. Signal worth keeping in your inbox.
Every new piece, announced on X.
Read Next
See all
Playbook
Tasteful Skills
“Tasteful Skills” argues that the best agent skills are not documentation or best-practice lists.

Playbook
The Art of Tasteful Prompting
Learn how tasteful prompting helps you move beyond generic AI output by shaping context, style, and judgment from the start.

Playbook
The Codex /goal Playbook
OpenAI shipped /goal for the Codex CLI. It turns a prompt into a persisted, self-continuing contract.