You can ad hominem all you want, but my central point remains: everyone has the same allotment of time. If you are spending it on something, that necessarily means you are not spending it on other things. That's just a fact and doesn't have moral judgements attached.
Most people are likely at best using 25% of their 24h towards something high value. Say, 4 of their 8-9 working hours, and 1 in the morning and 3 after work are "good family time". The rest, their body and mind are in a low power state for efficiency or recovery.
Where the super-performers likely have an advantage is in a biological superiority that results in them needing less recovery time (perhaps life damages them on a cellular level less) and they have more energy-efficient or high-throughput caloric systems to be able to do more hours of high-impact work in the day.
We are learning more and more about mitochondrial differences between people. If you could do 8 hours of high-focus work every day, be super in-tune with people for 4 hours afterwards, and only need 4 hours of sleep to be completely recovered, you'd acheive a lot more over a year, or 10 years, than your peers.
This is completely un-controversial when talking about something like Pro Basketball: it's self-evident. But people don't want to acknowledge it may be a factor in programming or business leadership.
https://hanlab.mit.edu/blog/streamingllm
The AI field is reusing existing CS concepts for AI that we never had hardware for, and now these people are learning how applied Software Engineering can make their theoretical models more efficient. It's kind of funny, I've seen this in tech over and over. People discover new thing, then optimize using known thing.
For instance, a year or two ago, the AI people discovered "cache". Imagine how many millions the people who implemented it earned for that one.
So I started with scraping and cross-reference, foaf, doing analysis. People's preferences are ... really complex.
Without getting too lewd, let's say there's about 30-80 categories with non-marginal demand depending on how you want to slice it and some of them can stack so you get a combinatoric.
In early user testing people wanted the niche and found the adventurous (of their particular kind) to be more compelling. And that was the unpredictable part. The majoritarian categories didn't have stickiness.
Nor did these niches have high correlation. Someone could be into say, specific topic A (let's say feet), and correlating that with topic B (let's say leather) was a dice roll. The probabilities were almost universally < 10% unless you went into majoritarian categories (eg. fit people in their 20s).
People want adventure on a reservation with a very well defined perimeter - one that is hard to map and different for every person.
So the value-add proposition went away since it's now just a collection of niche sites again.
Also, these days people have Reddit accounts reserved for porn where they do exactly this. So it was built after all.
[1] https://aella.substack.com/p/fetish-tabooness-and-popularity...
There's no way any of these people can sanely start and maintain a family without a spouse at home full time. Which maybe you can afford on those salaries, maybe. Being on single income in the Bay with kids can get tricky.