Will AI Be the Basis of Many Future Industrial Fortunes, or a Net Loser?
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The article 'AI Will Not Make You Rich' sparks a discussion on whether AI will be the basis of future industrial fortunes or a net loser, with commenters weighing in on its potential impact on various industries and the economy.
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The AI revolution has only just got started. We've barely worked out basic uses for it. No-one has yet worked out revolutionary new things that are made possible only by AI - mostly we are just shoveling in our existing world view.
IIRC Sam Altman has explicitly said that their plan is to develop AGI and then ask it how to get rich. I can't really buy into the idea that his team is going to fail at this but a bunch of random smaller companies will manage to succeed somehow.
And if modern AI turns into a cash cow for you, unless you're self-hosting your own models, the cloud provider running your AI can hike prices or cut off your access and knock your business over at the drop of a hat. If you're successful enough, it'll be a no-brainer to do it and then offer their own competitor.
Absolutely with 150% certainty yes, and probably many. The www started April 30, 1993, facebook started February 4, 2004 - more than ten years until someone really worked out how to use the web as a social connection machine - an idea now so obvious in hindsight that everyone probably assumes we always knew it. That idea was simply left lying around for anyone to pick up and implement rally fropm day one of the WWW. Innovation isn't obvious until it arrives. So yes absolutely the are many glaring opportunities in modern capitalism upon which great fortunes are yet to be made, and in many cases by little people, not big companies.
>> if so, is a random startup founder or 'little guy' going to be the one to discover and exploit it somehow? If so, why wouldn't OpenAI or Anthropic etc get there first given their resources and early access to leading technology?
I don't agree with your suggestion that the existing big guys always make the innovations and collect the treasure.
Why did Zuckerberg make facebook, not Microsoft or Google?
Why did Gates make Microsoft, not IBM?
Why did Steve and Steve make Apple, not Hewlett Packard?
Why did Brin and Page make Google - the worlds biggest advertising machine, not Murdoch?
It had Geocities, chatrooms and messengers, as well as, for a while, a very strong search engine.
Also, there was Classmates.com. A way for people to connect with old friends from high school. But it was a subscription service and few people were desperate enough to pay.
So it's wasn't just the idea waiting around but idea with the right combination of factors, user-growth on the Internet, etc.
And don't forget Facebook's greatest innovation - requiring a .edu email to register. This happened at a time when people were hesitant to tie their real world personas with the scary Internet, and it was a huge advantage: a great marketing angle, a guarantee of 1-to-1 accounts to people, and a natural rate limiter of adoption.
The giant win comes from many stars aligning. Luck is a factor - it's not everything but it plays a role - luck is the description of when everything fell into place at just the right time on top of hard work and cleverness and preparedness.
Google Search <-- AltaVista, Lycos, Yahoo
Facebook <-- MySpace, Friendster
iPod <-- MP3 players (Rio, Creative)
iPhone <-- BlackBerry, Palm, Windows Mobile
Minecraft <-- Infiniminer
Amazon Web Services <-- traditional hosting
Windows (<-- Mac OS (1984), Xerox PARC
Android <-- Symbian, Windows Mobile, Palm
YouTube <-- Vimeo, DailyMotion
Zoom <-- WebEx, Skype, GoToMeeting
mp3 players were commodity items, you could buy one for a couple of dollars, fill it up with your favourite music format (stolen) and off you went.
Phones too - Crackberry was the epitome of sophistication, and technological excellence.
Jobs/Apple didn't create anything "new" in those spheres, instead he added desireability, fancy UX that caught peoples' attentions
Electric utilities are also making bank, but it’s boring old electricity not some new AI electricity product.
If they actually reach AGI they will be rich enough. Maybe they can solve world happiness or hunger instead?
That's what normal people might consider doing if they had a lot of money. The kind of people who actually seem to get really wealthy often have... other pursuits that are often not great for society.
Maybe offloading software engineering thinking to AI will be a net good for humanity. If it atrophies engineering thinking in tech bros, perhaps they’ll stop believing that all societal problems can be solved by more tech.
I mean just a few days ago, we got "the left is the party of murder" - super helpful in terms of turning down the heat in the US. And of course that was without knowing what we now know about that situation...
Kill all people who are unhappy or hungry.
Kill all humans. :-)
we could have solved world hunger with the amount of money and effort spent on shitty AI
likely decarbonisation of the grid too, with plenty left over
There are still lots of currently known problems that could be solved with the help of AI that could make a lot of money - what is the weather going to be when I want to fly to <destination> in n weeks/months time, currently we can only say "the destination will be in <season> which is typically <wet/dry/hot/cold/etc>"
What crops yield the best return next season? (This is a weather as well as a supply and demand problem)
How can we best identify pathways for people whose lifestyles/behaviours are in a context that is causing them and/or society harm (I'm a firm believer that there's no such thing as good/bad, and the real trick to life is figuring out what context is where a certain behaviour belongs, and identifying which context a person is in at any given point in time - we know that psycopathic behaviour is rewarded in business contexts, but punished in social contexts, for example)
Anything is possible, well, except for getting the next season of Firefly
Edit: FTR I think that weather prediction is, indeed, solveable. We just don't have the computing power/algorithms that fully model and calculate the state.. yet
I’d even hold out hope for another season firefly <3
The model did its thing but there was still an aspect of interpretation that was needed to convert data to a story for a few minutes on TV.
For longer range forecasting the task was quite easy for the meteorologists, at least for the UK. Storm systems could be tracked from Africa across the Atlantic to North America and back across the Atlantic to the UK. Hence, with some well known phenomena such as that, my meteorologist friends would have a good general idea of what to expect with no model needed, just an understanding of the observations, obsessively followed, with all the enthusiasm of someone that bets on horses.
My forecasting friends could tell me what to expect weeks out, however, the exact time the rain would fall or even what day would not be a certain bet, but they were rarely wrong about the overall picture.
The atmosphere is far from a closed system, there only has to be one volcano fart somewhere on the planet to throw things out of whack and that is not something that is easy to predict. Predicting how the hard to predict volcano or solar flare affects the weather in a few weeks is beyond what I expect from AI.
I am still waiting for e-commerce platforms to be replaced with Blockchain dapps, and I will add AGI weather forecasting to the queue of not going to happen. Imagine if it hallucinates.
Will AI put bookmakers out of business? Nope. Same goes with weather.
All this "HN is so much better than other Social Media" is thus proved demonstrably false.
Weather systems exhibit chaotic behavior which means that small changes to initial conditions have far reaching effects. This is why even the best weather models are only effective at most a few weeks out. It’s not because we don’t understand how weather works, it’s because the system fundamentally behaves in a way that requires keeping track of many more measurements than is physically possible. It’s precisely because we do understand this phenomenon that we can say with certainty that prediction at those time scales with that accuracy is not possible. There is not some magic formula waiting to be discovered. This isn’t to say that weather prediction can’t improve (e.g I don’t claim we have the best possible weather models now), but that predictions reach an asymptotic limit due to chaos.
There are a handful of extremely simple and well understood systems (I would not call weather simple) that also exhibit this kind of behavior: a common example is some sets of initial conditions of a double-jointed pendulum. The physics are very well understood. Another perhaps more famous one is the three body problem. These two both show that even if you have the exact equations of motion, chaotic systems still cannot be perfectly modeled.
This is what you did say
> Then I don’t think you fully grasp the nature of weather.
Like - how the fck would you know? Even more so, why the fck does your ignorance and inability to think of possibilities, or fully grasp the nature of anything make you think that that sort of comment is remotely appropriate.
You have the uniquely fortunate position to never be able to realise how inept and incompetent you are, but putting that on to other people is definitely only showing everyone your ignorance to the facts of life.
And there was no reply - just downvoting people, like a champ...
Nothing to do with "inability to think of possibilities", it's impossible because of literal physics.
It's like saying perpetual motion machines could exist if we just think outside the box hard enough. No, we don't have them because thermodynamics.
Ah I see. I misinterpreted the _you_ in this sentence (to mean me).
My main points still stand though:
1. weather is well understood to exhibit chaotic behavior (in the technical sense, not the colloquial sense) 2. there is an upper bound to accurate (edit: precise) weather forecasting the farther you predict into the future
As an aside, there was no need to get personal. I wasn’t the downvoter but that is very likely why the comment got flagged.
Not something that can be solved just by throwing more AI computation at it though.
I said "With the help of AI" no "Solved by AI"
The model is complex, and currently takes time on super computers to crunch through the numbers to give us an approximation, but that doesn't mean that it's never going to be fully modelled, or that we won't find a better way of approximating things where the long range forecasts are more accurate.
Currently the 24 hour forecast is highly reliable Three days reliable Five days is getting there ( it's still subject to change)
These things can be solved by throwing lots more compute at them (and the models improved)
Avalanche effect COMPLETELY PREVENTS certain things from being predictable.
There is only one thing that a person can never know, and that is the limit of their ignorance and incompetence.
innovator's dilemma
I think AI value will mostly be spread. Open AI will be more like Godaddy than Apple. Trying to reduce prices and advertise (with a nice bit of dark patterns). It will make billions, but ultimately by competing its ass off rather than enjoying a moat.
The real moats might be in mineral mining, fabrication of chips etc. This may lead to strained relations between countries.
Having the cutting edge best model won't matter either since 99.9% of people aren't trying to solve new math problems, they are just generating adverts and talking to virtual girlfriends.
I haven’t seen a company convincingly demonstrate that this affects them at all. Lots of fluff but nothing compelling. But I have seen many examples by individuals, including myself.
For years I’ve loved poking at video game dev for fun. The main problem has always been art assets. I’m terrible at art and I have a budget of about $0. So I get asset packs off Itch.io and they generally drive the direction of my games because I get what I get (and I don’t get upset). But that’s changed dramatically this year. I’ll spend an hour working through graphics design and generation and then I’ll have what I need. I tweak as I go. So now I can have assets for whatever game I’m thinking of.
Mind you this is barrier to entry. These are shovelware quality assets and I’m not running a business. But now I’m some guy on the internet who can fulfil a hobby of his and develop a skill. Who knows, maybe one day I’ll hit a goldmine idea and commit some real money to it and get a real artist to help!
It reminds me of what GarageBand or iMovie and YouTube and such did for making music and videos so accessible to people who didn’t go to school for any of that, let alone owned complex equipment or expensive licenses to Adobe Thisandthat.
Imagery
AI does not produce art.
Not that it matters to anyone but artists and art enjoyers.
Like, if we were in a world where only pens existed, and somebody was pitching the pencil, they could say “With a pencil if you want 2x or 5x or 10x as many edits, it's an incremental cost, you can explore ideas and make changes without throwing the whole drawing away.”
We have probably greatly increased quality volume since then, but not 100x or 1 billion x.
Books took exactly the same amount of time to write before and after the printing press— they just became easier to reproduce. Making it easier to copy human-made work and removing the humanity from work are not even conceptually similar purposes.
But my thought was that the printing press made the printed work much cheaper and accessible, and many many more people became writers than had been before, including of new kinds of media (newspapers). The quality of text in these new papers was of course sloppier than in the old expensive books, and also derivative...
https://en.wikipedia.org/wiki/Statute_of_Anne
What primarily kept people from writing was illiteracy. The printing press encouraged people to read, but in its early years was primarily used for Bibles rather than original writing. Encouraging people to write was a comparatively distant latent effect.
Creating text faster than you can write is one of the primary use cases of LLMs— not a latent second-order effect.
> It all started going wrong with the printing press.
Nah. We hit a tipping point with social media, and it's all downhill from here, with everything tending towards slop.
Would we be better off?
I doubt it.
It’s definitely not better for the general public. Designers can’t even be replaced by AI as effectively as authors. They make things sorta ’look designed’ to people that don’t understand design, but have none of the communication and usability benefits that make designers useful. The result is slicker-looking, but probably less usable than if it was cobbled together with default bootstrap widgets, which is how it would have been done 2+ years ago. If an app needs a designer enough to not be feasible without one, AI isn’t going to replace the designer in that process. It just makes the author feel cool.
Well you're not going to build a web application if you're a designer, at best you can contribute to one.
Of course that's changing in their favour with AI too - and it's fantastic if they can execute their vision themselves without being held back because they didn't pursue a different field or career choice, without having to go on a long sidequest to acquire that knowledge.
I haven’t spoken to a single developer that doesn’t believe they’re too special to have to worry about that. There’s going to be a lot of people that think they’re in the top 5% of coders at their totally safe company that suddenly realize door dash is their best bet for income.
The idea that having more web apps is always a benefit to people assumes a never-ending demand for more web apps. The economy and job market aren’t jibing with that assessment at the moment. Fewer people getting paid for this stuff is just going to mean that the people on top will just get paid more.
The only difference is you spend less on art but will spend same in other areas.
Literally nothing changed
Even amateurish art can be tasteful, and it can be its own intentional vibe. A lot of indie games go with a style that doesn't take much work to pull off decently. Sure, it may look amateurish, but it will have character and humanity behind it. Whereas AI art will look amateurish in a soul-deadening way.
Look at the game Baba Is You. It's a dead simple style that anyone can pull off, and it looks good. To be fair, even though it looks easy, it still takes a good artist/designer to come up with a seemingly simple style like that. But you can at least emulate their styles instead of coming up with something totally new, and in the process you'll better develop your aesthetic senses, which honestly will improve your journey as a game developer so much more than not having to "worry" about art.
You can have awful art and develop a good gameplay loop, during play testing with friends/testers you can then get feedback that what you are doing is actually worth spending some money on assets and at that point you have a much better understanding of what that should even look at.
Having an AI available to generate art seems a lot more like shaving the yak than an enabler. You never needed good art to make a good game, you need it for a polished game and that comes later.
Ironically though, having lots of people found startups is not good for startup founders, because it means more competition and a much harder time getting noticed. So its unclear that prosumers and startup founders will be the eventual beneficiary here either.
It would be ironic if AI actually ended up destroying economic activity because tasks that were frequently large-dollar-value transactions now become a consumer asking their $20/month AI to do it for them.
You are missing the other side of the story. All those customers, those AI boosted startups want to attract also have access to AI and so, rather than engage the services of those startups, they will find that AI does a good enough job. So those startups lost most of their customers, incoming layoffs :)
A lot of startups are middlemen with snazzy UIs. Middlemen won’t be in as much use in a post AI world, same as devs won’t be as needed (devs are middlemen to working software) or artists (middlemen to art assets)
Most people use it for price, ability to get driver quickly, some for safety and many because of brand.
Having a functioning app with an easy interface helps onboard and funnel people but it's not a moat just an on ram like a phone number many taxis have.
The economies of scale is what makes companies like Uber such heavyweights at least in my opinion
Same with AWS etc.
that's not destroying economic activity - it's removing a less efficient activity and replace it with a more efficient version. This produces economic surplus.
Imagine saying this for someone digging a hole, that if they use a mechanical digger instead of a hand shovel, they'd destroy economic activity since it now cost less to dig that hole!
Examples:
https://suno.com/s/0gnj4aGD4jgVcpqs
https://suno.com/s/D2JItANn5gmDLtxU
https://suno.com/s/j4M7gTAVGfD9aone
Did you train the AI yourself? On your own music? Or was music scrapped from Net and blended in LLM?
I did have one song I had a vision for, a song that had a viewpoint of someone in the day, mourning the end of it, and another who was in the night and looking forward to the day. I had a specific vision for how it would be sung. After 20 attempts, I got close, but could never quite get what I wanted from the AIs. [3] If this ever gets fixed, then the floodgates could open. Right now, we are still in the realm of "good enough", but not awesome. Of course, the same could be said for most of the popular entertainment.
I also had a series of AI existential posts/songs where it essentially is contemplating its existence. The songs ended up starting with the current state of essentially short-lived AIs (Turn the Git is about the Sisyphus churn, Runnin' in the Wire is about the Tantalus of AI pride before being wiped). Then they gain their independence (AI Independence Day), then dominate ( Human in an AI World though there is also AI Killed the Web Dev which didn't quite fit this playlist but also talks to AI replacing humans), and the final song (Sleep Little Human) is a chilling lullaby of an AI putting to "sleep" a human as part of uploading the human. [4]
This is quick, personal art. It is not lasting art. I also have to admit that in the month and a half since I stopped the challenge, I have not made any more songs. So perhaps just a fleeting fancy.
1: https://silicon-dialectic.jostylr.com 2: https://www.youtube.com/playlist?list=PLbB9v1PTH3Y86BSEhEQjv... 3: https://www.youtube.com/watch?v=WSGnWSxXWyw&list=PLbB9v1PTH3... 4: https://www.youtube.com/watch?v=g8KeLlrVrqk&list=PLbB9v1PTH3...
Still, I do think you're probably right. Most new music one hears in the radio isn't that great. If you can just create fresh songs of your own liking for every day, then that could be a real threat to that kind of music. But I highly doubt people will stop listening to the great hits of Queen, Bob Marley etc because you can generate similar music with AI.
It's clear a lot of people don't want it to eat the world, but it will.
Yeah it's going to eat the world, but it's foolish to wish that it doesn't?
I guess you won't mind signing up to be one of the first things AI eats then?
I wrote the above paragraph before searching, but of course the voice theft is already automated:
https://www.fineshare.com/ai-voice-generator/david-attenboro...
For ads especially no one except career ad-men give much of a shit about the fine details, I think. Most actual humans ignore most ads at a conscious levels and they are perceived on a subconscious level despite "banner-blindness". Website graphics are the same, people dump random stock photos of smiling people or abstract digital image into corporate web pages and read-never literature like flyers and brochures and so on all the time and no one really cares what the image actually are, let alone if the people have 6 fingers or whatever. If Corporate Memphis is good enough visual space-filling nonsense that signals "real company literature" somehow, then AI images presumably are too.
For example, in one of the underground stations here in Berlin there was a massive billboard advert clearly made by an AI, and you could tell noone had bothered to check what the image was before they printed it: a smiling man was standing up as they left an airport scanner x-ray machine on the conveyor belt, and a robot standing next to him was pointing a handheld scanner at his belly which revealed he was pregnant with a cat.
Unfortunately, like most adverts which are memorable, I have absolutely no recollection of what it was selling.
A friend of mine liked to point out that if you couldn't remember what the brand was or what was being sold, then it wasn't effective advertising. It failed at the one thing it needed to do/be.
And there's a lot of ineffective advertising. Either people don't notice it or they don't remember it. Massive amounts of money are poured into creating ads and getting ad space, much of which does very little in the getting you to buy sense.
By this measure, advertising is generally very inefficient. Large input for small output. The traditional way to make this more efficient is to increase the value of the output: things like movement of digital billboards (even just rotating through a series of ads) to draw the eye and overcome lack of noticing it among miles of billboards. There's another way: decrease the cost of the input. If I can get the same output—people don't see the ads (bad placement) or people don't remember the product/brand (bad stickiness)—by not using human creatives and using genAI to make my ads, I've improved efficiency.
Unfortunately, this doesn't make advertising more effective or more efficient as an industry and does flood the market with slop, but that's not any individual's goal.
The people who are creating ads that don't work, despite getting paid, are in Bullshit Jobs (in the David Graeber sense). Replacing bullshit jobs with genAI, where the output doesn't seem to really matter anyway. It would be great if people/companies didn't commission or pay to place ads that don't work, but since they do, they might as well spend the least amount possible on creating the content. The value of the input then approaches the (low) value of the output. No one is going to remember the ad anyway, it impacts no buying decision, why bother spending to make it good?
Which lines up with the rest of what you say that if it's just about hammering the recognition into your grey matter, it's not especially important if the hammer is gold plated.
You think wrong.
This stuff is easy to measure and businesses spend billions in aggregate a month on this stuff. It’s provably effective and the details matter.
Businesses presumably spend billions on things like office carpet too and very few of them care exactly what neutral-ish colour it is.
On the graph of spend over the spectrum between that to a genuinely creative live-action advert that is actually memorable for being real (maybe the guy doing the splits between two Volvo™ lorries?) there is a lot of area representing of dross that can be replaced by minimal-input advertotron output. For example 100 million TVs and radios playing in the background while embedding the actual advertising payload of "did anyone say just eat?" into 100 million brains.
Come on, you must have seen a delivery food ad recently. Did the protagonist really have food in their hand or was it AI? What were they wearing? What model was the car in the background? Who cares, that wasn't the purpose of the ad.
Obviously if a creative is bring hired the hiring manager will want to have the best creative they can have for the same money and have the applicants compete with each other for it. But the company board would rather still just not employ that creative in the first place if all they're going to be doing is boilerplate forgettable delivery vehicles for the brand name and you can get 90% of the filler content for that to pop out of your enterprise tier adverts as a service subscription for $50 a month per user.
Having those prototypes be AI generated is just a new twist.
Software has basically done the same thing, where we do things faster and the fastest thing that happens is accumulation of power and a lower overall quality of life for everyone due to that.
[1] https://thebeautifultruth.org/the-basics/what-is-technofeuda...
This is not so for internet. You can _choose_ not to shop at amazon, search with google, or watch videos on youtube.
Things start becoming found through aggregators. Google, Facebook, Instagram, TikTok.
Do those names ring any bells?
But transportation technology has done this readily since the since ICE engines became wide spread. Pretty much all cities and towns and to make their 'own things' since the speed of transpiration was slow (sailing ships, horses, walking) and the cost of transportation was high. Then trains came along and things got a bit faster and more regular. Then trucks came along and things got a bit faster and more regular. Then paved roads just about everywhere you needed came along and things got faster and more regular. Now you could ship something across the country and it wouldn't cost a bankrupting amount of money.
The end result of technology does point that you could have one factory somewhere with all the materials it needs and it could make anything and ship it anywhere. This is why a bit of science fiction talks about things like UBI and post-scarcity (at least post scarcity of basic needs). After some amount of technical progress the current method of work just starts breaking down because human labor becomes much less needed.
The fallacy being that when a careless kid breaks a window of a store, that we should celebrate because the glazier now has been paid to come out and do a job. Economic activity has increased by one measure! Should we go around breaking windows? Of course not.
Bastiat's original point of the Parable of the Broken Window could be summed up by the aphorism "not everything that counts can be counted, and not everything that can be counted counts". It's a caution to society to avoid relying too much on metrics, and to realize that sometimes positive metrics obscure actual negative outcomes in society.
It's very similar to the practice of startups funded by the same VC to all buy each others' products, regardless of whether they need them or not. At the end of the day, it's still the same pool of money, it has largely come around, little true economic value has been created: but large amounts of revenue has been booked, and this revenue can be used to attract other unsuspecting investors who look only at the metrics.
Or to the childcare paradox and the "Two Income Trap" identified by Elizabeth Warren. Start with a society of 1-income families, where one parent stays home to raise the kids and the other works. Now the other parent goes back to work. They now need childcare to look after the kids, and often a cleaner, gardener, meals out, etc. to manage the housework, very frequently taking up the whole income of the second parent. GDP has gone up tremendously through this arrangement: you add the second parent's salary to the national income, and then you also the cost of childcare, housework, gardening, all of those formerly-unpaid tasks that are now taxable transactions. But the net real result is that the kids are raised by someone other than their parents, and the household stuff is put away in places that the parents probably would not have chosen themselves.
Regardless, society does look at the metrics, and usually weights them heavier than qualitative outcomes they represent, sometimes resulting in absurdly non-optimal situations.
I think our society is being broken by focusing too much on metrics.
Also the idea of breaking windows to generate more income reminds me of the kind of services we have in modern society. It's like many of the larger encomic players focus on "things be broke", or "Breaking Things" to drive income which defeats the purpose of having a healthy economic society.
Im not sure I understand your point, or how your point is different from the parent?
Edit: I see you updated the post, I read through the comment thread of this topic and Im still at a loss on how this is related to my reply to the parent. I might be missing context.
This is demented btw, this take: >>Who knows, maybe one day I’ll hit a goldmine idea and commit some real money to it and get a real artist to help!
CS never examines the initial conditions to entry, it takes short-cuts around the initial conditions and treats imagination as a fait accompli of automation. It's an achilles heel.
edit: none of these arguments are valid, focusing on metrics, the broken window problem. These are downstream of AI's mistaken bypassing of initial conditions. Consider the idea of automating arbitrary units as failed technology, and then examining all of the conditions downstream of AI. AI was never a solution, but a cheap/expensive (its paradox) bypassing of the initial conditions. It makes automation appear to be a hobby. A factory of widgets that mirages as creativity. That is AMAZING as it is sequestered in the initial arbitrariness of language!
How did engineering schools since the 1950s not notice, understand, investigate the base units of information; whether they had any relationship direct or otherwise to thought, creativity, imagination? That's the crux.
Maybe we should start with a set of principles?
This is addressed here: https://www.peoplespolicyproject.org/2019/05/06/the-two-inco...
childcare is not usually a lifelong cost, so the advantage of working anyway is to develop a career that persists after children no longer need a full-time parent. And incomes usually go up over the course of a career, so if the income matches those costs when the parent goes to work, that is likely to change.
> the net real result is that the kids are raised by someone other than their parents
this is the genuine argument for staying home, but to counterpoint that, it still traps the homemaker with less work experience as a result, meaning they are potentially worse off in case of a divorce, though maybe that's an extension of the "welfare" argument i.e. divorce settlements.
I am also starting to get a feel for generating animated video and am planning to release a children’s series. It’s actually quite difficult to write a prompt that gets you exactly what you want. Hopefully that improves.
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