Using a PowerBook G4 Today: It was a pleasure to see such an old beast which I found gathering dust at the back of a cupboard still up and running. Sadly, it is powered by Mac OS X 10.3 (not even the latest update). Maybe I’ll need to install OpenBSD to give it a bit of a boost, but I’m afraid I will loose wireless connectivity and current graphics capabilities. #apple

10-202: Introduction to Modern AI. I especially like the AI policy section: “(…) but we strongly encourage you to complete your final submitted version of your assignment without AI.”

My hope is that there remains a primordial spark, a glimpse of genius, to rediscover, to reconnect to - to serve not annual trends or constant phonification, but the needs of the user to use the computer as a tool to get something done. — Welcome (back) to Macintosh

Back to my Mac. This happended to me two weeks ago.

And sadly, my old MBP onto which I booted Ubuntu got a panic attack after I reinstalled OS X…

Git’s Magic Files: Other Conventions and Beyond Git are worth keeping in mind.

Ivry again, Feb. 2026

An invitation to a sparse Cholesky factorisation. Left-looking Cholesky factorization in two lines:

for j in range(0,n):
  L[j,j] = sqrt(A[j,j] - L[j, 1:(j-1)] * L[j, 1:(j-1)]')
  L[(j+1):n, j] = (A[(j+1):n, j] - L[(j+1):n, 1:(j-1)] * L[j, 1:(j-1)]') / L[j,j]

Who Needs Backpropagation? Computing Word Embeddings with Linear Algebra: numerical word representations are built using simple frequency counts, a little information theory, and linear algebra. #python

Some newer & simpler biostatistical approaches for more credible clinical research. TL;DR lower P-value threshold, increase C-index, statistical medicine instead of medical statistics, prefer small sample for intensive research in some cases. #stats

vim-galore: All things Vim! #vim