| Truly enjoyed this article, but hate to admit one thing: I'm so burned by AI slop that once I noticed this seems to have been "assisted" by an LLM, I got irrationally angry because I felt tricked. It hit me at the end, when I read this: > The idea behind Ambiance is simple: the model's priors [...] Everything else here is just in service of that. I've noticed "in service of" take off similar to "load-bearing" with LLMs, and the whole structure just pattern matched to Claude for me. I went back and scanned it over again, and noticed several other tells: * "Think of U/L [Unix / Linux] as a motivating analogy rather than a direct comparison."
* "Priors" _and_ "a priori" used in the same article.
* "A real kernel […]. The Ambiance Kernel […]. The Kernel […]." — LLMs love this pattern. To be abundantly clear, *I'm not calling this AI SLOP*; it's obvious that a human put a lot of thought into this, gives a shit about the topic, and shared interesting ideas leading to a productive discussion. I really did like it. There's just something empty or hollow about the LLM style; paraphrasing Joni Mitchell "there's something lost and some thing gained" [1] when using AI. Your writing, your code is more consistent, more structured, more planned out — generally better but in a way that loses the character behind human writing. [1]: From "Both Sides Now", a great song about looking something from two perspectives: youthful innocence, and jaded cynicism. Listen to the original 1969 version first, and then the 2000 remake as you can tell she's singing from the respective perspectives. Deeply meaningful song! |