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US Job Market Visualizer

karpathy.ai

241–250 of 388 posts

Re: US Job Market Visualizer

#241

Cool stuff. would be nice to have a color blind mode. I literally can't distinguish the red from green in this visualization.

Created a temp hack for you: https://gist.github.com/ro31337/89b24edaec0a5bfbf73bc5abfbfb...

(don't forget to "allow pasting" in [chrome] console first)

Re: US Job Market Visualizer

#242

Earlier quoted context omitted.

I took one glance at the chart and decided the results were impossible because of that. Apparently "top executive" median pay is $105,350 per year: https://www.bls.gov/ooh/management/top-executives.htm

Remember that exec tech salaries are extreme outliers. I worked for an exec in manufacturing. He had full p&l responsibility for a business segment with ~150 employees, $27 million in revenue at 40% gross margins, and a production plant. His total comp was ~$300k. Now just think of the comp levels in sectors like government, education, etc.

The number of people in the category is simply impossible for any normal person's definition of "top executive".

If you click the link it mentions "general and operations managers". They're tossing a lot of different roles into the category.

Re: US Job Market Visualizer

#243
post #16
post #10

If AI produces surplus where does it go? Not talking about investment backed datacenter buildout and AI labs. Talking about the results of AI work... I think AI outcomes distribute to contexts where it is used, and produce a change in how we work, what work we take on. Competition takes care of taking those surpluses and investing them in new structure, which becomes load bearing and we can't do without it anymore. I…

> If AI produces surplus where does it go? Not talking about investment backed datacenter buildout and AI labs. Talking about the results of AI work... The 1% pockets, this is where the vast majority of the extra productivity computers/internet/automation brought goes to for the last 50 years: https://www.epi.org/productivity-pay-gap/

The study doesn't say it went into the 1%'s pockets. It says it went to 2 places:

1) The salaries of corporate employees 2) Shareholders and capital owners

Regarding number 2: "Shareholders" would include anyone who owns any stock at all, including a lot of middle class people with a simple S&P 500 ETF in their portfolio.

And the increase in productivity allowed more people to become capital owners, AKA entrepreneurs. The explosion in software entrepreneurs, for example.

Re: US Job Market Visualizer

#246

My takeaway here: 3.XT $ of US salaries are the TAM for AI companies. Apple, a very successful company, makes 300B/y revenue? (ish) ~10% is all you need to be Apple. And, it can work by taking all of 10% of the jobs and collecting the whole salary (the AI employee -- dubious proposition), or by taking 10% of everyone's salary and automating part of everyone's job (the AI "tool" -- much more plausible). If "part" bein…

very apt analogy - same as your other one LLMs are similar to CNC machines.

Given the state of AI (LLMs) - they still need a very human (skilled driver) to operate

Re: US Job Market Visualizer

#247

It's wild that there are as many jobs in the category "Top Executives" as in the category "Retail Sales Worker". This makes sense given both automation and the US's role in the global economy, but it runs somewhat contrary to standard ideas of class and inequality.

These categories are extremely broad. Top Executive includes general managers, legislators, school superintendents, mayors, city administrators, and a lot of other government jobs. The name is misleading, it's basically non-frontline management.

Chief Executives is actually a specific sub-category of it and is, obviously, much smaller.

Re: US Job Market Visualizer

#248

Earlier quoted context omitted.

> Hand-washing dishes also, from what I understand, uses more energy and water than the dishwasher does. Correct, more energy, detergent, and water. Dishwashers are more efficient than what you can do by hand because they effectively manage their water usage. A modern dishwasher will use 3 to 4 gallons on a run. By comparison, my kitchen sink holds about 10 gallons of water on each side. When I wash by hand, I'll fil…

Ten gallons to hand wash is crazy. I have and use a dishwasher but when I hand-wash I use maybe two gallons of straight hot water. I wash everything, give it a minimal rinse with the sprayer and then hand dry to remove any remaining soap suds or water. If I hand wash, I wash as I go. It takes maybe 5 minutes to wash up dishes from breakfast or lunch, maybe a little more for a big dinner, maybe not. Dishwashers let yo…

> It takes maybe 5 minutes to wash up dishes

5 minutes of most sinks running is 10 gallons of water. (Most kitchen sinks are 2 gallons per minute).

> Dishwashers let you accumulate dirty dishes for a day or two which is the real advantage in water savings.

I agree. If you aren't filling the dishwasher then you are probably wasting water. However, a full dishwasher is going to be a real water/energy saver. Especially if you aren't washing the dishes before putting them in the dishwasher. (I know a decent number of people do that. It's a hard habit to break).

Re: US Job Market Visualizer

#249
post #85

Earlier quoted context omitted.

He is talking about the same thing as you, no? As you point out, the more AI exposure (red), the more likely to have higher wages (green). Which suggests that those who are embracing AI are those who are thriving the most. Same as what he suggested.

No, those numbers don't mean that. Whether people are adopting AI or not, everybody doing the same kind of job gets the same number for exposure to AI. You can claim that AI is creating a Jevons paradox situation and making companies hire as crazy the people it nominally replaces. But then you would have to point any instance of that happening, because it's clearly not there either.

They must, else you'd have elaborated what they do mean already.
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