I agree that it can be difficult to make sense of a model containing billions of parameters. Certainly a human can’t understand such a model by inspecting the values of each parameter individually. But one can gain insight by examing the properties of the model—where it succeeds and fails, how well it learns as a function of data, etc. — On Chomsky and the Two Cultures of Statistical Learning

Flocking Quadtrees.

Introduction to Software Development Tooling: Lot of good stuff and very clear handouts.

New kid on the blocks: ty: An extremely fast Python type checker and LSP. I’m pretty happy with basedpyright at present, but I will check this new tool. #python

The speakers are pretty good. And for a laptop, they’re actually amazing. They have depth, the upmp, and are loud enough to watch films with comfort - can’t say this about any other laptop I’ve had before. — GNOME is better macOS than macOS

Why readable math still matters in a world aided by LLM-assisted code generation. — In Defense of MATLAB: Why Engineers Still Need Whiteboard-Style Code

I too am a firm believer in simple syntax (R, Mathematica, or even Scilab or Octave): “The math is identical. But in the Python version, the engineer is thinking about computer science concepts.”

/me is listening to “Gallowdance” by Lebanon Hanover

Interesting discussion on matrix multiplication with Mathematica: Speedup matrix number multiplication. #mathematica

I Fed 24 Years of My Blog Posts to a Markov Model.

/me is listening to “Zombie” by YUNGBLUD