> I saw tables with more than a thousand columns.

I used to work in a company that had all the tags in their SCADA system feed into SQL tables. They had multiple tables (as in tens of tables), because they ran out of columns ...

you mean agile dot ai?

> "but real scrum has never been tried" types.

Im one of these people. I do think for real that what most companies do is basically project management that wears the skin of scrum, and in most organizations beyond a certain size having that type of agile work and flexibility is basically impossible.

Except sometimes you get absolutely banger dreams.

I still don't want to know.

Friedman is also not someone anyone should be taking seriously in the year of our lord '26

Also rigor is slow. Looks like a waste of time.

What are you optimizing all that code for, it works doesnt it? Dont let perfect be the enemy of good. If it works 80% thats enough, just push it. What is technical debt?

> If a data science team modeled something incorrectly in their simulation, who's gonna catch it? Usually nobody. At least not until it's too late.

Back in my data scientist days I used to push for testing and verification of models. Got told off for reducing the teams speed. If the model works well enough to get money in, and the managers that make the final calls do not understand the implications of being wrong, this would be the majority of cases.

Yes.

> No, they are equals.

IDK, where I am its always been that managers specifically have power over ICs

> even when they resist understanding

Agreed. You may know so many things, but ultimately its useless if the other party does not care about wanting to understand them. And I have no clue what the right way is, besides letting people and their models fail and then being there with an answer ...