Like, I certainly cannot afford a family of 12 children. Nor can I afford to buy the amount of land that they acquired, and certainly not by working the same kind of jobs they did.

It's also kinda of ironic that right now in 2025, we have all this diversity in tooling, but at the same time, the ML architecture space has collapsed entirely and everyone is just using transformers.

The facts are that for many decades past, it was possible for hopeful economic immigrants to abuse asylum laws, or the back then less protected border, to gain entry to the US. Neither red nor blue administrations handled this properly and lots of people benefited from the status quo, and your focus on, "the left" is quite conspicuous, because one does not tend to think of farm owners, meat processing plants and construction contracting businesses as "the left".

And rightfully past administrations should shoulder the blame for not dealing with immigration in a lawful manner back then. If there was a need for immigrant labor they should have handed temporary VISAs or whatever, instead of ignoring illegal immigration.

Because most of them will absolutely try to fleece their older customer demographic by trying to make them invest in high expense funds that perform terribly. For them to advice you to put them into a decent index tracking fund is already a good sign.

Remember that DeepSeek is the offshoot of a hedge fund that was already using machine learning extensively, so they probably have troves of high quality datasets and source code repos to throw at it. Plus, they might have higher quality data for the Chinese side of the internet.

* Of course I won't detail my class of problems else my benchmark would quickly stop being useful. I'll just say that it is a task at the undergraduate level of CS, that requires quite a bit of deductive reasoning.