

TIL Jazz Jackrabbit was made by Epic! I thought the only game by Epic I had played was Unreal Tournament. I have fond memories of spending hours in both those games. Didn’t play Jazz Jackrabbit 2 as much, but I remember I liked the soundtrack.


TIL Jazz Jackrabbit was made by Epic! I thought the only game by Epic I had played was Unreal Tournament. I have fond memories of spending hours in both those games. Didn’t play Jazz Jackrabbit 2 as much, but I remember I liked the soundtrack.


I am planning to buy a Deck when I can afford it. I’ve been a PC player all my life but this is going to be my way of supporting Valve for all the good things they have done for Linux gaming. I mostly play Paradox strategy games, so I’m not sure how that will work on the Deck without a mouse. But maybe Terraria and Stardew Valley might be playable using controller style keys.


I decided to use my phone to read after my Kindle broke. I use KOReader. I would like to not support proprietary products as much as I can, just my personal philosophy since the last 7-8 years. So far I can’t complain about my setup, and there is one less device to lug around. I do miss an e-ink display sometimes though.


I switched to Pipepipe from Newpipe because I wasn’t sure Newpipe was being maintained. Pipepipe has SponsorBlock.


I have a similar setup and decided to install it on my degoogled phone because I definitely wanted to use a VPN to connect to Whatsapp and my other phone is an older Android without the global VPN option.
I have it completely isolated from my main account by using Shelter from F-droid, installing Aurora store in that sandbox and then installing Whatsapp from Aurora into the work profile created by Shelter.
This way, my main contacts and media are not accessed by Whatsapp. It does its own separate thing and I have no other apps interacting with it.
The reason they are blackboxes is because they are function approximators with billions of parameters. Theory has not caught up with practical results. This is why you tune hyperparameters (learning rate, number of layers, number of neurons ina layer, etc.) and have multiple iterations of training to get an approximation of the distribution of the inputs. Training is also sensitive to the order of inputs to the network. A network trained on the same training set but in a different order might converge to an entirely different function. This is why you train on the same inputs in random order over multiple episodes to hopefully average out such variations. They are blackboxes simply because you can’t yet prove theoretically the function it has approximated or converged to given the input.
Dunno mate, seems like a dragon to me.