708 karma · joined January 29, 2020
Why not using some public/private key auth where the dns contains a public key and the requesting server uses the private key to sign the cert request? This would decouple the authorization from the actual account. It would not reveal the account's identity. It could be used with multiple account (useful for a wildcard on the DNS plus several independent systems requesting certs for subdomains).
> Are you 100% sure your code changes didn't introduce unexpected bugs?
Who is this ever? But I do code reviews and I usually generate a bunch of tests along with my PRs (if the project has at lease _some_ test infrastructure).
Same applies for the rest of the points. But that's only _my_ way to do these things. I can imagine that others do it a different way and that the points above are more problematic then.
E.g. I'm a software architect and developer for many years. So I know already how to build software but I'm not familiar with every language or framework. AI enabled me to write other kind of software I never learned or had time for. E.g. I recently re-implemented an android widget that has not been updated for a decade by it's original author. Or I fixed a bug in a linux scanner driver. None of these I could have done properly (within an acceptable time frame) without AI. But also none of there I could have done properly without my knowledge and experience, even with AI.
Same for daily tasks at work. AI makes me faster here, but also makes me doing more. Implement tests for all edge cases? Sure, always, I saved the time before. More code reviews. More documentation. Better quality in the same (always limited) time.
The offer from JLC for 1500 pieces (without the modem module) was 2000€ + Tax + Shipping, so way less than 3000€.
The comparable best offer from Eurocircuits was 11000€, so a factor of 4.
JLC can even be optimized further (e.g. panelizing, daves another 500€).
I hoped that I can produce here in europe with a maximum price factor of 2 in comparison to JLC which seems not be possible. It's cheaper for us to employ someone who manages JLC than producing in europe - especially when going to mass production.
1. 3D Model code generation
- generate the model via AI, using plain text - review the result (using FreeCad for visual feedback) - iterate until the model is fine - tell the AI which parameters shall be customizable
(see my tablet holder example, there I have parametes for a Huawei MediaPad and also for an old Samsung Galaxy Tab, both using the same model)
2. 3D Model export
This can be done entirely headless and it's very robust. No AI involved, only the python code previously generated by AI.
Currently a generic 3mf file is exported, so It needs to go though a slicer and you need to apply your printer's settings (printer type, nozzle type, all that stuff).
But the generated 3mf is just a ZIP with 3d model and the settings within. So this could also easily be automated.
Ever tried to open a window on an ID.7? There are 4 windows, 2 buttons and a touch sensor that toggles between front and rear windows.
Step 1: Try to open to driver's window. You touch the sensor and open the rear window.
Step 2: Try to close the rear window now. Of course you touch the sensor again. The buttons now controls the front windows which are not open.
I'm getting used to greet my neighbors through the rear window and close it later when I stopped the car and can look at the controls.
Can we now have lot of audio records with a documentation of whale behavior to train an AI and get a whale-translator at the end?