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archermarks

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Another anecdote: I am a big nvim user and set everything up three years ago and basically haven't touched it since. At this point I'm a bit afraid I won't be able to fix it if something breaks lol.

I do think the culture of tweaking constantly without ever doing real work exists, but it's far less common than it seems online. People who make posts about their neovim configs all the time are certainly more likely to be in this camp than people not posting at all.

Nice article! The generated images make me so nostalgic for the early days of AI image generation. DeepDream and others had such uncanny, interesting generations.

Several commenters suggested the original essay was written by an LLM. They were half right. Both that essay and this one were written with Claude as a drafting partner. I directed the argument; the LLM helped with prose. I mention this not as confession but as demonstration: the human brought the utility function, the machine brought the compute. If that division of labour bothers you, I’d suggest the discomfort says more about the Bitter Lesson than about my writing process.

This hits like 100% of the AI prose bingo card.

Very cool idea. Interested to see how this progresses. One question: how worried are you about over-training on this particular dataset? i.e. instead of generalizing you lean more toward memorization? Obviously you leave out a validation set but since you're meta-optimizing the model itself by its performance on the validation dataset you're still at risk of over-fitting.

I got a cheap Chinese one (no camera, wifi) in 2024 and it's been a game changer. Yeah it's kind of dumb but it runs every day and picks up an unholy amount of dust, cat hair, and the like. Maybe if you were already vacuuming every day they're pretty useless but for me it's been night and day. As another commenter said, they're also surprisingly repairable, and I bought a ton of spare parts before the tariffs went in.

While I don't think you're wrong about the orientalist elements in Western cyberpunk, consider that Japan also produced two of the seminal and genre-defining works of cyberpunk (Akira and Ghost in the Shell).

Really nice article! This clarified a lot to me about how positional embeddings work and how other useful context might be embedded in other models.

So Much Blood 1 year ago

Dynomight (the author of this article) does a lot of articles like this, and if you enjoyed it you'll enjoy their other content.

Even as far back as ancient Egypt [1]. And they had dentistry too [2]! Any time in history where they milled grains into flour with stone, you can see this pattern. In fact, it can be used to differentiate certain agricultural vs non-agricultural populations in the archaeological record [3].

[1]https://pubmed.ncbi.nlm.nih.gov/19396207/

[2]https://anatomypubs.onlinelibrary.wiley.com/doi/10.1002/ar.2...

[3]https://pubmed.ncbi.nlm.nih.gov/16353225/