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.

Dank dir! Sehr spannned, kannte diese Vorgehensweise bisher nicht.

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).

Is there any time table for the developments?

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.

I was in the same boat as you, i.e. using the GPU during my studies. My premise is to optimise the most frequent use case, i.e., deep learning.

IMO going with NVIDIA will save you so much worries and frustration that it clearly outweighs the downsides of worse Wayland support compared with AMD.

When you have tough university assignments/projects, you want to focus on the actual problem instead of debugging/compiling libraries for use with AMD. I am sure that with a bit of work many libraries can be made to work with AMD, but apparently it is still a pain oftentimes.

So I strongly suggest choosing NVIDIA. Disclaimer: have not used AMD for deep learning yet, but have monitored the development of AMD support, because I would like to switch to AMD.

Btw. I found Pop!OS to be very nice for both “regular” university work and all computer science tasks.

Why do you think this using racist language is a non-issue?

Ignornace hardly ever helps anyone.

I agree with your statements. Based on my knowledge of German history as well as Kahnrmann’s “Thinking, Fast and Slow” I too think that language forms reality and is strongly related to tractable actions.

However, regarding PCMR, one could certainly argue that the title is more meant like a meme. This might make it acceptable. Further, the meme-like character is in contrast to my aforementioned examples, which came from science and software engineering.

So my point is, while one should treat language seriously, the notion of what is acceptable and what not strongly depends on context. In the case of PCMR, the presence of many younger kids should make us wary of our language, because they might not understand what is meant as a joke and what not.

Soo…what’s the hash?

Fair enough, thanks 🙏

To give a bit of context: there have been similar discussions in the computer science community in recent years. Two examples are the master-slave paradigm in networking and the default git branch which used to be the “master” branch.

I see similar arguments here than in the aforementioned discussions, ranging from “non-issue”, over “language forms reality”, to “respect marginalized groups”.

I’m not familiar with the history of the sub, could you elaborate a bit more please?