"So in summary: using AI for coding led to depression, apathy, existential dread, and worse software. Not good. Add on top of that the negative environmental, community, and economic impacts of AI, and it became extremely apparent to me that something's gotta change."
"This curve behaves surprisingly similarly to a cubic Bézier, especially at smaller angles, but when pushed has very different behavior. Overall it has smoother curvature variation and is more likely to have monotonic curvature. It contains within it a few valuable analytic curves, and is also good at approximating a wide range of others."
small, sweet little guide for forming a permacomputing collective. "Fermentation is a method, a slow, interdependent process shaped by invisible collaborators. Like microbes that preserve and transform, our work ferments beneath the surface, unfolding, unfinished."
strange as it sounds, i feel like there must be a part of the human brain that evolved specifically to produce pleasure in response to breeding Jovian monster trucks
"And the vocabulary in which you are asked to evaluate the arrangement is supplied by the same master. Accept that the product is an intelligence, that ingesting your work is learning, that its failures are hallucinations, and that freedom means you are free from owning anything of all that. Every sentence available to you has been arranged in advance, so that refusal comes out sounding like superstition and fear of the future." really wonderful synthesis
"it is possible to make C code run quickly but only by spending thousands of person-years building a sufficiently smart compiler—and even then, only if you violate some of the language rules. Compiler writers let C programmers pretend that they are writing code that is "close to the metal" but must then generate machine code that has very different behavior if they want C programmers to keep believing that they are using a fast language"
"Conviviality matters for science for multiple reasons. One of them is epistemic: if you want to derive knowledge from your work, you need to know exactly what you are doing, and that includes a detailed understanding of your tools. Moreover, research is much facilitated if you also have the inverse: the ability to create a tool that does exactly what you want to do. And since science is a collective activity, in which participants critique and build on each other's work, the understanding of tools needs to be shared inside a discipline." (also discusses the Python 3 transition as an example of a loss of conviviality)
"An Arabic font is a small program. The text you store is its input, not its output. The word is performed fresh every time you look at it, like music from a score."
good research, but how to you get the conclusion of a paper like this and still have some hope that structuring a text in a particular way will meaningfully address the problem? "Even replacing a single bigram, "The user", (a phrase heavily associated with reasoning) with "The request" drops attack success rates by 19%." it's just a circus clown show
"When people are presented with a draft note (no matter what its origin) this will impact how they proceed. It should be relatively possible to check the contents of the note for accuracy (does that match what just happened?), though we guess this gets harder the longer the time lapse between encounter and chart note correcting. Surely it’s harder to chart from scratch later, too, but we’d be really interested to see studies of how much misinformation gets recorded with or without automatic chart note drafts."
"The rationalist community rediscovers Bayesian epistemology and treats it like a revelation, apparently unaware that the philosophy of science has been working through these questions since the 1920s. Blog posts get treated as foundational texts. People who have never read Kuhn or Lakatos or Feyerabend construct an epistemology from first principles, marvel at what they’ve built, and proceed to use it as the intellectual building blocks for decisions that affect billions of people. The confidence is inversely proportional to the depth. Dunning-Kruger at scale."