AGI blues by Ciro Santilli 40 Updated 2025-07-16
Term invented by Ciro Santilli, similar to "nuclear blues", and used to describe the feeling that every little shitty job you are doing (that does not considerably help achieving AGI) is completely pointless given that we are likely close to AGI as of 2023.
Variety Jones by Ciro Santilli 40 Updated 2025-07-16
2015 The Variety Show On the trail of the man believed to be Variety Jones, one of the architects of the defunct drug marketplace Silk Road. www.vice.com/en/article/wnx5qn/the-variety-show
www.justice.gov/usao-sdny/file/797251/download some kind of case file of his trial.
The curious thing about VJ is that he actually has some culture and says cool things, e.g.:
IRL - is there anyone with a clue at all? Girlfriend, boyfriend, bunny you talk to, online buddy's who you've know for years? Gramma, priest, rabbi, stripper?
Tested on Ubuntu 20.04:
mkdir -p ~/miniconda3
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
rm -rf ~/miniconda3/miniconda.sh
Add to your .bashrc:
PATH="$PATH:$HOME/miniconda3/bin"
and then to use it on a shell e.g. with Python 3.9 create the environment with:
conda create -y -n mytest3.9 python=3.9
and then use it with:
eval "$(command conda 'shell.bash' 'hook' 2> /dev/null)"
conda activate mytest3.9
Now you can use python and pip normally from inside that mytest3.9 environment.
At that time, the exact installer under latest appears to have been: repo.anaconda.com/miniconda/Miniconda3-py311_23.11.0-2-Linux-x86_64.sh
Conda by Ciro Santilli 40 Updated 2025-07-16
Conda is like pip, except that it also manages shared library dependencies, including providing prebuilts.
This has made Conda very popular in the deep learning community around 2020, where using Python frontends like PyTorch to configure faster precompiled backends was extremely common.
It also means that it is a full package manager and extremely overbloated and blows up all the time. People should just use Docker instead for that kind of stuff: www.reddit.com/r/learnmachinelearning/comments/kd88p8/comment/keco07k/

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