If you still think this technology is a "bullshit generator," then it's safe to say you're also wrong about a great many other things in life.

That would bug me, if I were you.

Blaming OpenAI for progress is like blaming a calendar for Christmas—it’s not the timing, it’s your unwillingness to adapt

If you accept t sne or umap as being useful because it unveils some structure and pacmap has mathematical guarantees to preserve the same or more structure, is that not enough as a motivation?

Fwiw, I use pacmap when building pipelines to get a feel whether a model is capturing signals as expected, for which it works better than the two due to the structure preserving making the conceptual mapping easier

I am lucky enough to have several family members who are MDs and am close to a few more.

They google crap all the time. They're as unaware of things as we are.

The tests they have access to are much better than anything we can get our hands on though.

Please don't.

Leetcode already ruined so many coding interviews by asking people to do bullshit like

"Output data from a stream in order, make the solution performant"

Why would you ruin ML for us too?

Looking at your site, problem #1 is Multiply a matrix times a vector..... in no universe is that a legitimate ML interview question.

Also ML is such a huge field (everything from statistical learning through to transformer neural networks), I fail to see how you could say your solution tests core skills. If I'm hiring for an ASR Role, it's going to be very different than for a CV role.

I don't think I believe that. Look at the top scientists of previous decades. They weren't incompetent idiot savants or man-children.

I wonder if they made any effort to check whether the NEJM case studies that this whole study is based are in the PALM-2 training dataset.