@shinobu_books It's strange that Tottori doesn't have that many foreigners. I thought it was mostly just a Tokyo phenomenon. But it seems to be quite all over.
The year is almost over! Bask with us in the holiday cheer with a sale on BC.
From 12/22/2023 to 1/3/2024, we invite you to enjoy a 20% discount on any BC license with code HOLIDAZE: https://t.co/YwwwsQQwiB
p.s. Yes, any new BC4 license purchase will get a free upgrade to BC5!
Great article about Gaussian Splatting by @dylan_ebert_ explaining simply but in depth what gaussian splatting are and why they are taking over https://t.co/8cOfLnAZXh
Simplified explanation of gaussian splatting for gfx engineers:
You render all surfaces as stretched alpha blended point sprites. Sprites have gaussian blurred sphere texture.
No triangles, just could of point sprites. It's like the old demoscene approach on steroids :)
PSA: don't use WinDirStat
use WizTree instead
does the same thing, still free, but way way way faster (scans a drive in 1-2 seconds instead of 1-2 minutes)
One of my subscribers commented on my article on the Gzip + KNN paper [https://t.co/0kfwU4KBxl]
They created their own implementation of the classifier using zstd. His implementation is blazing fast and achieves high accuracy.
He employed a neat trick. When using zstd, you can build a dictionary out of your data which can later be used to compress any other data.
He created dictionary for each class in the training dataset and then built a compressor using that dictionary. Essentially he built one compressor per class.
In order to classify a new piece of text, he would compress that text using each of the class specific compressors and pick the class of the compressor which achieved maximum compression.
The basic idea is that, a document from a given class will be maximally compressible using a dictionary built from the documents of its actual class.
This might not work as well on out of distribution data, because the dictionary built is specific to the training data and out of distribution data may have different words and patterns not seen by the pre-built dictionary. But still very impressive and innovative.
Here's a link to his code: https://t.co/UzG4W6nVZN
@FreyaHolmer I assumed it was if your app was hard to debug like a cloud of services that have time outs between them. You would set up unit tests with prints as this would be better and easier then debugging the undebuggable. As you can’t just set a break point and stop all servers at once
one of the coolest bits of sidechannel stunt hacking in recent memory has to be the one where they were able to identify websites people were browsing, extract keys, and even wallhack in counterstrike, using only the background noise from their microphone in a VOIP call
Apple added #DX12 support to macOS and Apple Silicon via its Game Porting Toolkit. It’s basically a 20k patch to Wine that will make it easy to play AAA Windows games on macOS without using a VM. https://t.co/OFwc0NREb6