posts

quotes from a Lex Fridman interview with Philip Goff

Here are some snippets from a Lex Fridman interview with Philip Goff, a panpsychist. The Enlightenment ideal is to follow the evidence and the arguments where they lead, but it’s very hard for human beings to do that. I think we get stuck in some conception of how we think science ought to look. People talk about religion as a crutch, but I think a certain kind of scientism, a certain conception of how science is supposed to be, gets into people’s identity and their sense of themselves and their security.
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hosting a Tor onion service

Tor onions are a way to host secure services that protect the anonymity of you and your clients. It also removes load from Tor exit nodes. If you open this page in the Tor browser it will redirect you to the following address: http://kylrthjj7mpvktolz7u6fnudt3hpdvjw4hzquanjpepgsf5vcq5divad.onion/post/tor-onion-service/ which can only be opened from inside the Tor network. getting started permalink To host an onion service, we’ll have a Docker container running Tor that decodes requests and forwards them to another container hosting the service. I’ve got a GitHub repo that will help you build the Tor image and shows you an example docker-compose.yml:
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meaning-making in the post-modern world

Here are some snippets from a Lex Fridman interview with Peter Wang, co-founder and CEO of Anaconda: For a lot of human history, there wasn’t so much a meaning crisis as just a food and not getting eaten by bears crisis. Once you get to a point where you can make food there was a not getting killed by other humans crisis. Sitting around wondering what it’s all about is a relatively recent luxury.
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avatarify

Avatarify is a cool project that lets you create a relatively realistic avatar that you can use during video meetings. It works by creating a fake video input device and passing your video input through a neural network in PyTorch. My laptop doesn’t have a GPU, so I used the server/client setup. setting up the server permalink Be sure you’ve installed the Nvidia Docker runtime so that the Docker container can use the GPU. You can see how I did that here. Run the following on the server:
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hosting my own web services

I host several services on an Alienware gaming computer I keep at my apartment. (We call it the spaceship.) I originally got the computer so I could have a computer with a GPU for machine learning projects, but I’ve since started using this computer to host a bunch of different services. Here I’ve documented how I set up the server. operating system permalink To keep things simple I use Ubuntu 20.04 LTS. Here’s a speedy way I’ve found to write installer ISOs to USB drives for installation:
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