Why Tesla’s FSD (Supervised) is still “weak AI” — even when it feels magic
A practical breakdown from behind the wheel: how FSD actually behaves in traffic, what the safety numbers say, and why it’s powerful automation, not a mind.
DGxOne Journal • Built by an AMT-4 engineer & engineering student
Real-world notes on AI, avionics, and privacy
Bench repairs, Tesla miles, late-night code, and lessons from building a private, local-first assistant.
Every post is written from the shop, the road, or the desk — no hype, just how the tools actually behave in real life.
Latest & upcoming posts
A mix of live articles and work-in-progress series that follow the real DGxOne build: from avionics troubleshooting to local-first AI architecture.
Tesla FSD: Automation, not a brain
Why a Model Y with FSD(S) still counts as “weak AI” — and what that means for safety, jobs, and trust.
Published • Driving & automation
DGxOne in the shop (coming soon)
Using AI as a quiet copilot on the bench: wiring diagrams, procedure checklists, and keeping FAA rules happy.
Draft • Avionics & quality
Local-first vs “just log in” AI (coming soon)
Why BYOK, no tracking, and local storage matter — especially if you work in regulated environments.
Draft • Privacy & architecture
Engineering school meets DGxOne (coming soon)
Turning calculus, ML modules, and tech ethics homework into real features inside DGxOne.
Draft • Study & build log
Designing a private health companion (coming soon)
How to keep “Health” helpful but humble: disclaimers, limits, and respecting your future self.
Draft • Health & safety
From backyard LEDs to Workbench tools (coming soon)
What a DIY hoop, rope lights, and a Pi 5 taught DGxOne about real-world reliability.
Draft • Projects & IoT
Follow the build, not the hype
When the app changes — new Voice mode, Vision tools, or privacy features — you’ll see the thinking here first.