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I did a project along these lines a few months ago as well: https://larswander.com/writing/graphs-embeddings-and-llm-gen...


Author here. Waking up to seeing this on the front page with all the wonderful comments made my day! Thank you for sharing and reading


Oh this is interesting:

> The two primary exterior plastic parts are huge, detailed injection molded parts with multiple slides and actions, large changes in wall thickness (which makes it very hard to mold without imperfections)

Does anyone know why large changes in wall thickness makes molding these parts more difficult?


Molding parts with uniform thickness is tricky enough - without great tooling design and the perfect temperature/pressure settings, you'll get hot spots, flow lines and all sorts of visual defects in your part. Varying thicknesses make achieving these "Apple-like" levels of perfection in the plastics even more difficult, thanks to the fact that the material will cool and change shape at different rates.


Oh that's fascinating - thanks!


The fact that there are peaks at 6 and 8 digits per password is probably due the fact that dates can be represented as DDMMYY and DDMMYYYY respectively, rather than imply that humans are better at remembering an even number of digits.


Google is actively adding Kubernetes support as well: https://github.com/spinnaker/spinnaker/issues/707


[Terraform](https://terraform.io/) is a great tool for representing infrastructure as code, plus, it's provider agnostic.


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