d0mdo0ss

A few months ago I switched to gnome since it supports hidpi and fractional scaling, and it's snappy enough but somehow feels bloated in everyday use (ubuntu 20.04). I tried to switch back to xfce with a recent fix for fractional scaling, but it looked fuzzy on my screen no matter the resolution, so I had to abandon that for the time being. KDE was the default at my work and I've used it for many years, probably over a decade. The article says gnome is lighter, but that's not my impression, or maybe I'm missing something with gnome?

Hihi, weal, francli de inglish languej culd rader be used as a sujestion for combaining multipl langazhes intu ei hosh-posh of sorts. It did lid as rader tu dis steit of afers, after ol. Hau abaut starting wiz pronouncin leters as dei show and no more funi interpreteisions and pronunsiasions.

off topic, but I'm curious what would've been a typical workday there.

> use containers/virtualization for anything where ones hacking around might be dodgy - i.e. keep the work part of workstation in mind with all system updates/installations, etc.

Care to elaborate? this might be useful to try. I have a similar setup macbook and ubuntu system, but I find that the LTS 18/20 versions often need reboot, and I didn't have the issue with centos. Still, I would probably continue using ubuntu because it usually needs less hacking time in my experience.

> Still, the sheer scale of the problem is daunting. “Any reasonable search engine has to have 20 billion-50 billion pages in its active index,” Mr Ramaswamy said. When a user runs a query, the retrieval system must sift through vast troves of data then rank them in milliseconds.

this sounds interesting but as an outsider to these topics I have many questions.

how is the search achieved in milliseconds (hardware/software), for possibly millions of users simultaneously across the world

what is so difficult about creating an index of 20-50 billion entries? I'd imagine faang etc have resources to do these things with little effort

I own an JBL charge 2. These are probably aimed for people who prefer high bass over a balanced sound (balanced they are not). Worst- the bluetooth connection is unstable even in direct sight, within 5-20 cm, with android/mac/raspberry. I realize everyone has different tastes but I would not recommend JBL.

FTA: "... any wavelet can be reconstructed by adding together a finite series of identical wavelets squashed to fractions of its initial width: a half, then a fourth, then an eighth and so on."

I may not follow or there's a typo above. Should the first 'wavelet' be replaced with function/signal/distribution/etc? this sounds a lot like a taylor or fourier analysis

anyone have some experience on this? I'm in the market for an AMD laptop capable of running standard sci-kit/pytorch/etc but these seem optimized for NVIDIA cards. I'm curious about the outlook for these trending AMD cards.

I recently started using garmin products, is there a way to opt out?