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j7ake

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The analogy seems to be like learning classical music (like piano or violin) after as an adult.

You learn the basics like scales and chords to build and build to modern jazz.

But if you’re an adult, life is too short, just go straight to a few pieces you like. Get a simplified version and learn the bits you need from there from a teacher.

2025 Letter 7 months ago

I found it the right granularity. He talks about USA, China, and Europe: within each have considerable diversity in culture, history, and identity.

He mentions Europe without more nuance for the same reason he mentions China without more nuance: he’s talking big picture.

Are you suggesting science and innovation are distinct?

Scientific progress is largely driven by the “Steve Jobs” of sciences.

Only a tiny fraction of papers remain relevant. So that means the quality of the average paper doesn’t matter as much as the quality of the best paper.

I think a mix of the current system with more permanent researchers makes sense.

There is a lot of work in research that fits the permanent worker better than the fresh 22 year old. But having that fresh talent is really beneficial to science.

Your suggestion would have fewer fresh eyes to look at the problem. If the scientific enterprise were just about churning out widgets, then yes it’s better to have permanent staff.

But having a strong training pipeline for the globe is a huge plus for US prestige, and the top people are still offered jobs as faculty or industry within the country, so it still a net gain for USA. But it’s brutally competitive for the individual scientists

Literature is like classical music. One can argue Beethovens 9th symphony is one of the greatest pieces of music of all time, but that doesn’t mean we all have time to sit through 70 minutes a day listening to it.

I bet important people don’t even have time to sit and watch a full movie.

The meme of dude standing in corner while everybody else dances as he utters an elitist thought to himself explains many jazz musicians, especially the protagonist in whiplash

A drug is almost never acquired that can then be put directly to patients and sold.

Large pharma makes strategic bets on several drugs, some initiated in house, others acquired, but they all just go through further optimization and testing before it is approved.

Huge RnD is required even if drug is “simply acquired”

I meant specifically the book, which doe not have any of those things you mentioned.

Also nobody fits neural networks and use variation inference using any priors that aren’t some standard form that makes algorithm easy