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Joined 1 year ago
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Cake day: June 11th, 2023

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  • The biggest reason for me is that it’s less data to send over a network. Especially when I’m working with lists of objects, including null fields can add a noticeable chunk to the payload.

    There are some cases where it might be worth it to differentiate “No value” and “No attribute”, but in most cases they can be treated the same, since the data should really be validated against a schema anyway.





  • When I quit at McDonalds to start a career in welding, the owner of the store happened to be visiting. He took me aside and told me “You know, those guys at… (Sorry, what was that place called again? Right…) You know, I’ve heard the people there aren’t as nice as we are here. Are you sure you want to leave?”

    I’ve never wanted to punch an old man so much in my life. In that moment, he was the personification of class warfare to me, trying to “trick” me into throwing away my future just so he could have more cheap labour. And the fact it was so blatantly obvious added insult to, well… insult.

    Anyway, it’s not the same, but the “wallpapers” thing definitely gives me the same vibes, lol.





  • A neural network is an array of layered nodes, where each node contains some kind of activation function, and each connection represents some weight multiplier. Importantly, once the model is trained, it’s stateless, meaning we don’t need to store any extra data to use it - just inputs and outputs.

    If we could take some sort of material, like a glass, and modify it so that if you shone a light through one end, the light would bounce in such a way as to emulate these functions and weights, you could create an extremely cheap, compact, fast, and power efficient neural network. In theory, at least.