LLM tell? Inanimate objects and concepts are treated as actors all the time: the series converges, the function reaches its maximum, the sun shines, the wind blows, history repeats itself, words rhyme, interest compounds, etc.

What's wrong with "configs store parameters"? I guess "parameters are stored in configs" could be more correct, but IMO it means exactly the same thing and sounds just as natural. "Six bytes match ten" is shorthand for "the performance of the algorithm that uses six bytes of storage matches the performance of the algorithm that uses ten bytes of storage". But here we have "performance matches", which is an inanimate concept doing something, so is this an LLM smell too?

This poetic form of writing "reads well", but it completely failed to convey the idea to me. I had to read the blog multiple times to get the point, because poems are not meant to be direct, unambiguous or simple to understand.

From a technical writing perspective, this is a terrible blog post.

Here is a better blog: https://cloud.google.com/blog/topics/developers-practitioner...

Yeah, this is basically stochastic dithering applied to numeric floating point quantization instead of image color quantization.

This makes me wonder whether you could apply different dithering approaches to numeric computations. You cannot use diffusion or similar mehods, because you don't have information about neighboring pixels/computations. Using low-discrepancy sequences might work to reduce stochastic noise, but it could also reintroduce bias for some computations.