So nice to have Nico alongside Crofty. I love the insight he gives, really adds a lot to the race.

Sounds awesome! Could you please provide an exemplary shortcut?

Pop has not received feature updates for years, because the dev team focuses on implementing Cosmic.

Given the overall progress of Linux Desktop environments, this might have led many users to switch away from Pop.

Wake me up when something happens

Interessant, dass du die Qualität nicht so gut findest. Ich fand sie bisher nämlich enorm gut und bin für meine Chinos, Shirts und Pullis fast ausschließlich auf Uniqlo umgestiegen.

Uniqlo hat viele verschiedene Basics. Auch schön dicke aus Baumwolle.

I also recommend Deep Learning by Goodfellow. Long chapter about the mathematical foundations. I found it very insightful as side lecture during my studies. Also, the online version is free.

Ok that was dark.

They also love CPU.

For a dev machine, I wouldn’t go below 16GB RAM and at least a current-generation i5 (or Ryzen equivalent).

KeePass. Hab viele der hier genannten Apps durch und finde es mit Abstand am besten. Gibt verschiedene Mobile Apps und mit KeepassXC auch einen top Desktop Client für alle Plattformen.

Sync funktioniert mit ungefähr allen Cloudanbietern reibungslos.

Trenne dabei zwischen meiner Passwortdatenbank und meiner TOTP Datenbank und habe zwei verschiedene Apps dafür, weil mir die eine für OTPs besser gefällt.

Edit: Finde besonders Toll, dass die Passwörter einfach in Form einer Datei gespeichert werden. So kann man das eigentliche Passwort-Management, aka KeePass Datei, vom Cloud Anbieter zum Synchronisieren trennen. Wechsel der KeePass App bzw. des Cloudanbieters wird dadurch trivial. Fast kein Lock-In.

Soo…what’s the hash?

Thanks! I did not know that. Very neat :)

What exactly happened? The reasoning in the graphic does not tell me much. I only saw the summary which listed him as second. He seemed having finished his lap before the red flag, no?

Despite a size reduction of the cars, I cannot imagine how to save a significant amount of weight. The biggest weight contributors besides the chassis are engine and battery, right?

Not available in all countries, though :(

Not available in all countries, though :(

Depends on the use cases I guess. If any larger scale deep learning is going on, you cannot afford buying all the required GPUs anyways.

However, I found myself using my tower PC quite a lot during my Masters. Especially for Uni projects my GPU came in very handy and was much appreciated by group members. Having your own GPU was often more convenient than using the resources provided by the lab.

Also, while relying mostly on cloud resources in my last job, I would have found having a GPU available on my work machine very convenient at certain times. Very nice for EDA and playing with models during the early phase of a project.

Besides from that, IMO a good CPU and > 32GB RAM on your own machine are sufficient for EDA and related things while I would rely on cloud resources for everything else, e.g., model training and large scale analyses.