For the last 10 years, I don't think I met a lot of senior architects or dev who could understand all that.

Companies loves to have "specialized experts" who skilled up in one afternoon in their field. It might be different in startup, but in consulting world in relatively large enterprises, it's just a fucking joke.

Really? I think that in most orgs up to medium size, you expect senior and especially staff engineers to have that scope

They wouldn't be able to draw it all onto a whiteboard from memory. But give them a half day and they will have mapped out the data flow

I've seen these people rapidly disappear in the last 5 years at a big tech co. Old UNIX heads that had experience back to the 80s being made redundant. Who is replacing them? Mostly offshore 20 something year olds on a fraction of the salary a tenured person had, being told to just follow runbooks, pasting the runbooks into Claude or ChatGPT. These people can't explain anything, didn't really cut their teeth on doing things out of curiosity, and if asked a question, will just be playing copy-paste-back-and-forth with a LLM.

The bigger the org, the more specialized they want you to be.

The 70s-90s was basically the boom of international stars, with a highly limited media ventures, so everyone with a TV would be aware of them, at least in the western world.

From 2000s, culture has been more diluted across the medias.

1988 was about peak tv, And TNG writers had Data claim that television would not survive much beyond 2040. Amazing how prescient that turned out to be.

It feels like every few years there is such collision in Spain :-/

the most recent crash with fatalities appears to be January 2026 https://www.france24.com/en/europe/20260123-spain-train-coll...

Last high speed train crash was just at the beginning of the year (Adamuz), with 46 casualties

Either chatgpt or claude are building scripts to do those and has been for a few months at least now.

Well don't read anything related to music analysis, or something I discovered this week https://cklixx.people.wm.edu/teaching/math400/Chris.pdf or for some books : "Exploring Musical Spaces. A Synthesis of Mathematical Approaches" or "Generalized Musical Intervals and Transformation"

But Qwen 3.8 27b is unbearable slow, you get 10minutes of "let me think" over any trivial stuff.

Qwen 3.8 27B defaults to "xhigh" (its maximum level) for thinking, which makes it diabolically slow. Setting it to "medium" or "low" speeds it up a lot.

It does. It's quite good with the low setting. I prefer Muse Glimmer for, I dunno, hard to explain comfort reasons.

I had to hack the template of Qwen 3.8-27B to get it to go into low reasoning mode. Not sure if that is fixed.

Have you tried Nemotron 74B-9B? (Slow on Mac with llama.cpp due to a missing tensor type)

that nemotron model is such a dog, like all the other nemotrons

I have found it to be OK on sort of general purpose overview code stuff. At the moment it's too slow in llama.cpp on Mac for me to bother testing further.

AI ceremony.

At this stage, I feel kids learn more in their environments than their parents...

Behavior learnt from school is exhausting me.

Companies still believe they have IP to protect. Even when all they do are basic CRUD systems or on the verge of collapsing if they don’t renew some contracts.

Especially given that Everquest had done that for a few years and was a major revenue stream. That was a 200% "MBA" decision.

And soon we'll see also Wow Legend? I kid I kid.