This current “AI will destroy all the jobs and make most people useless” fear is as old as, say, electricity, and even older than cheap computing. It hasn’t happened.
This current “AI will destroy all the jobs and make most people useless” fear is as old as, say, electricity, and even older than cheap computing. It hasn’t happened.
If you think, hey but people had a “job” in 1700, and they had a “job” in 1900, think again. Being a peasant (majority of people in Europe in 1700) and being an urban factory worker in 1900 were fundamentally different ways of life. They only look superficially similar because we did not live the changes ourselves. But read the historical sources enough and you will see.
I would go as far as to say that the peasant in 1700 did not have a “job” at all in the sense that we now understand; they did not work for wages and their relationship to the wider economy was fundamentally different. In some sense industrialization created the era of the “job” as a way for most working-age people to participate in economic life. It’s not an eternal and unchanging condition of things, and it could one day come to an end.
It’s too early to say if AI will be a technology like this, I think. But it may be. Sometimes technologies do transform the texture of human life. And it is not possible to be sure what those will be in the early stages: the first steam engines were extremely inefficient and had very few uses. It took decades for it to be clear that they had, in fact, changed everything. That may be true of AI, or it may not. It is best to be openminded about this.
No other change has had the potential to generate value for capital without delivering any value whatsoever to the broader world.
Intelligent robotic agents enable an abandonment of traditional economic structures to build empires that are purely extractive and only deliver value to themselves.
They need not manufacture products for sale, and they will not need money. Automated general purpose labor is power, in the same way that commanding the mongol hordes was power. They didn’t need to have customers or the endorsement of governments to project and multiply that power.
Of course commanding robotic hordes is the steelman of this argument, but the fact that a steelman even exists for this argument, and the unique case that it requests and requires actually zero external or internal cooperation from people makes it fundamentally distinct in character.
Humans will always have some kind of economic system, but it very well may become separate from -and competing for resources with- industrial society, in which humans may become a vanishing minority.
The AI commentators are not saying that ELIZA will change the world, they’re saying that one of the big companies is moments away from an AGI. Sam Altman called a recent ChatGPT model a “PhD level expert”; wouldn’t infinite PhDs for $20/month or $200/month be transformative?
That is, your objection isn’t the usual “LLMs aren’t going to be AGI”, you’re saying “even if they do, it won’t be a big deal”?
Not op, but yes, 100%. Steam backs nearly all development of technology of the last 150+ years. Where do you think the power come from to make things? More than half of the world's power *still* runs on steam, as will many of the systems running AI.
If steam power never existed, not only would you not exist but there's a good chance the country you live in wouldn't either. If you don't believe the effect is large, go to the farthest uncontacted place on earth and take out a CO2 meter.
It's not that I "don't believe the effect is large", but the changes from pre-intelligence planet Earth to post-intelligence planet Earth are larger because they include the invention of steam, and literally everything else too: language, writing, irrigation, cities, trade, numbers, currency, mathematics, chemistry, engineering, nations, governments, supply chains, steam, etc.
An AGI that can solve the problems we think are solvable, but we can't solve, would be huge. Any sci-fi idea that isn't ruled out by the laws of physics, but that we haven't got the brains to solve, any breakthrough that we think should be there but we haven't found, any problem that requires too much time to learn, or too many parts to hold in one human mind, any coordination that is too big for one team, any funding problem, any scarcity problem, any disease or illness problem, any long timeframe problem, are all on the table as possibilities.
Anyway, the challenge is making a difference. Current-day LLMs can, for example, generate stories and books; one tweet said "this can generate 1000 screenplays a day". Which sounds impressive by the numbers, but books, screenplays, etc were never about volume.
Same with PhDs - is there a shortage of them? Does adding potentially infinite PhDs (whatever they are) to a project make it better, or does it just make... more?
This is the main difference with the industrial revolution - it, for example, introduced machines that turned 10 people jobs into 1 person jobs. I don't think LLMs will do something like that, it'll just output 10 people's worth of Stuff that will need some use.
I don't think anyone ever asked for 1000 screenplays a day, or infinite PhD's for $20. But then, nobody asked for a riderless carriage yet here we are.
Yes, there is still a large demand for people with analytical thinking, a deep knowledge base, and good problem-solving skills. This demand shows up broadly across STEM fields, and it's a major reason that these fields pay relatively high.
Even just thinking of R&D, there is an immense amount of work left to be done in basic science. Research is throttled partly by a lack of cheap graduate lab labor. (If that physical + mental labor became much cheaper, the costs of research would shift - what does it take to get reagants? What does it take to build more lab space, and provide water and light? Etc.)
The present issue is that current AI does not really offer the same capabilities as a good grad student or PhD. Not just physically, as in, we don't have good robotics yet, but mentally. LLMs do not exhibit good judgment or problem-solving skills, like a good PhD does. And they don't exhibit continual learning.
No clue on when these will change, but yes, a cheap AI with solid problem-solving skills and good judgment would absolutely upend our economy.
This is why I said "isn’t the usual “LLMs aren’t going to be AGI”", but you still went straight for "LLMs aren't AGI", which was not in question.
AGI is what OpenAI says they are going for. That's the goal of all this trillion dollar investment, not to output 1000 screenplays a day, but to takeover the world, basically. What would infinite PhDs discover if they could hold all of Arxive in their 'heads' at once and see patterns in every experiment that's ever been done? What could they engineer and manufacture if they could 'concentrate' on millions of steps of a manufacturing process at once without getting fatigued or bored? What ideas could they test if they could be PhD level in a dozen subjects all at once?
LLMs and modern day """AI"""? Don't kid yourself.
Would you mind expanding on this?
It will save a lot of time for a lot of people. Yes. But so did computers when they could search through massive amount of data.
It’s right there. You can go and see it any time, doing the things you don’t think it’s capable of doing. Just a little curiosity is all you need.
I see a whole lot of software created by smart people - as far as I can tell, about the same amount of software they would have created on their own.
Open to being wrong! But show me the results.
It is generating large amount of power on demand.
From that one can imagine what it could do. But more importantly in this context, one could also imagine what it could NEVER do. If someone say "Oh, the mighty steam engine! It lets us print 100x more books than we were doing before. Who knows, may be some day it will even start writing new books!"
And at that point, if you understand anything about the steam engine, or writing, you can call bluff. But if you don't understand what the steam engine is doing, and if you don't actually know what it takes to come up with a story, one could take a look at the engine printing the books, and blunder into the conclusion that it printing an entirely new book is only a question of time.
So in short, it is not "hate", just the acknowledgement about what it is not.
Steam engines were known since the first century, at the vert least: https://en.wikipedia.org/wiki/Aeolipile
It does take a lot of imagination and creativity to come up with new and better ways to use an already existing idea. We're currently just scratching the surface of what LLMs are going to do for us
> The aeolipile is considered to be the first recorded steam engine or reaction steam turbine, but it is neither a practical source of power nor a direct predecessor of the type of steam engine invented during the Industrial Revolution.
Newcomen engines are mere curiosities today, because we have better sources of power (better engines). In the past, they had better sources of power too (donkeys, wind, water, or human slaves). Newcomen engines, like all technologies, are only viable in certain economic environments. In all others they are curiosities.
Better search could be used in ways that we can't think of right now..
For example, even something like "I want python code to do X" could get exact hit in a stack overflow answer using regular internet "search"
Just wrote about it here https://news.ycombinator.com/item?id=47178461
.. which is not far off from what people said about ChatGPT in 2022.
I don't know how long it'll take for AI to be as broadly impactful as the steam engine was, but.. it's definitely coming. I expect the world to look radically different in 50 years.
Are you just saying that you're more intelligent than them? You can see clearly, where all the steam engine technicians can't?
The potential of the current crop of LLM/AIs will stop at being a very powerful tool to search large volumes of text using free-form questions.
I do think that pretty clearly contradicts with what a lot of people who make/use LLM models are saying haha
Humans have essentially three traits we can use to create value: we can do stuff in the physical world through strength and dexterity, and we can use our brains to do creative, knowledge, or otherwise “intelligent” work.
(Note by “dexterity” I mean “things that humans are better at than physical robots because of our shape and nervous system, like walking around complex surfaces and squeezing into tight spaces and assembling things”)
The Industrial Revolution, the one of coal and steam and eventually hydraulics, destroyed the jobs where humans were creating value through their strength. Approximately no one is hired today because they can swing a hammer harder than the next guy. Every job you can get in the first world today is fundamentally you creating value with your dexterity or intelligence.
I think AI is coming for the intelligence jobs. It’s just getting too good too quickly.
Indirectly, I think it’s also coming for dexterity jobs through the very rapid advances in robotics that appear to be partly fueled by AI models.
So… what’s left?
* https://www.mieleusa.com/product/11614070/w1-front-loading-w...
Eventually it will be more economical to just destroy all those old world structures entirely, clear the site out, and replace it with the new modular world able to be repaired with robots that no longer have to look like humans and fit into human centric ux paradigms. They can be entirely purpose built to task unlike a human, who will still be average height and mass with all the usual pieces parts no matter how they are trained.
Dexterity is more important - after all you may have the stamina to bang in 1000 nails in an hour. I have a nail gun. What’s important is we can control where the nails go.
I actually asked Gemini Deep Research to generate a report about the feasibility of automation replacing all physical labor. The main blockers are primarily critical supply chain constraints (specifically Rare Earth Elements; now you know why those have been in the news recently) and CapEx in the quadrillions.
Didnt people say that AI is 50 years away in 2010s?
On the other hand, the constraints on robotics are largely supply chain-related. The current SOTA for dexterity in robots requires motors, which require powerful magnets, which require Rare Earth Elements, which are critically supply-constrained.
To be precise, the elements are actually abundant in the Earth's crust, just that extracting them is very expensive and extremely toxic to the environment, and so far only China has been willing to sacrifice its environment (and certain citizens' health), which is why it has cornered the market. Scaling that up to the required demand is a humongous logistical, political and regulatory hurdle (which, BTW, is why I suspect the current US adminstration is busy gutting environmental regulations.)
Now there may be a research prototype somewhere in some lab that is the "Attention Is All You Need" equivalent of actuators, but I'm personally not aware of anything with that kinda potential.
There are of course non-electric alternatives like hyrdaulic and pneumatic actuators but they are mostly good for power, not dexterity. The size and complicated fluid dynamics simply are not conducive for fine motor control. I do think these will play a large part eventually because even electric motors cannot economically produce enough force to be practically useful. Like, last I checked, the base-level Unitree robots can lift 2kg or so? Not even enough to lift a load of laundry.
At this point I suspect we'll end up with hydraulics for strength (arms, legs, torso) and electrics for dexterity (grippers)
In an age where seemingly every single robot company has a humanoid prototype whose legs are actively supported through high powered actuators that are strong enough to kick your ribs in?
In an age where the recent advancements in machine learning have given bipedal walking a solution that is 80% of the way to perfection with the last 20% remaining the hardest to solve?
Honestly, from a kinematics/hardware perspective the robots are already good enough. Heck, even the robot hands are pretty good these days. Go back 10 years ago and the average humanoid robot hand was pretty bad. They might still not be perfect today, but they are a non-issue in terms of constructing them.
The only real bottleneck on the hardware side is that robot skin is still in its infancy. There needs to be some sort of textile with electronics weaved into it that gives robots the ability to sense touch and pressure.
What has remained hard is the software side of things and it is stuck in the mud of lack of data. Everyone is recording their own dataset that is unique to their specific robot.
A bit more detail in this article: https://www.adamasintel.com/humanoid-robots-and-the-future-o...
What you call "AI" is coming for the "search and report" jobs. That is it.
And it's not just these; i.e. video generation is getting better every other week too. It's not yet good enough to produce full length movies but it's getting there and the main component that seems to be missing is just more control over the generated output, but that'll come too.
You might say these movies will be AI slop and you'd be right, but then that'll be enough for most people who just want to see a lot of shit blow up on screen and superhereos fighting other superhereos.
You will still have a niche for 'real actor' films, but it will become a niche.
Same for music, art etc.
So where does that leave our world without actual creation, production, ideas? I work at the gas station and sell you zyns? You work at the walmart and sell me rotisserie chickens? We both work doubles and eat and sleep in the time remaining? Remain in this holding pattern until World Leader AI realizes we are just waste heat and culls us? I mean, that is sort of the path we are on. Disempowering people. Downskilling them. Passifying them. Removing their abilities to organize themselves. Removing access to technology and tooling. Making the inevitable as easy at it can be when it comes time for it.
We are in a death cult called business efficiency. Fire them, it's more efficient. Lean up the company. Don't invest in research, cheaper not to and buy back stock instead. These are death spirals no different than what happens with ants. We are justifying not giving our own species a seat at the table out of pragmatism. Why create a job for someone? It is inefficient, do more with less and don't worry about the unemployed it is their fault. Why pay them well and let them live comfortably? That is profit you could be making. Eventually it is going to be why feed the human species, because that is the line of logic here with business efficiency. We don't optimize to uplift our species. Quite the opposite, we optimize to hold it down and squeeze and extract.
So don't worry if we lure ourlselves that it's ok to stop caring for "intelligence job" globalization will provide for every aspect where AI is lacking. And that's not just a figure of speech they are already plenty of "fake it until you make it" stories about AI actually run by overseas cheap laborers.
Barbarism or revolution.
This ignores that the forces of capitalism, the labor market, value, etc are all made up. They work because people (are made to) believe in them. As soon as people stop believing in them, everything will fall apart. The whole point of an economy is to care for people. It will adapt to continue doing that. Yes, the changeover period might be extremely painful for a lot of people.
Feudalism was the dominant economic system for millennia. The point is to extract value for the upper class. Peasants only matter as a source of labor, and they only get 'cared for' to the extent of keeping them alive and working.
Now think about what feudalism might look like if the peasants' labor could be automated
They build the robots to build the factories, run the mines, build the solar farms, run the research labs, repair the robots, etc. They sell to and buy from each other.
It’s not unprecedented however the scale and speed that it will come at is. Things like the spinning jenny came along and replaced spinners, but weavers stayed for another generation.
Selfishly though I am more concerned about losing my job and industry than I was concerned about others suffering from the 80s, or during the pivot to the intenet. To quote Dr McCoy
> We're all sorry for the other guy when he loses his job to a machine. When it comes to your job, that's different. And it always will be different.
That is it. There is no other dimension to upskill along. (Would actually be relieved if someone can find counter-examples!)
LLMs are good at all three. And improving extremely rapidly.
This time is different.
Might as well say humans are just a better search tool - it's true in the exact same sense you're using.
All humans do is absorb information, then search through our memories and apply that information in relevant contexts to affect the world
Not really, because I do think all knowledge can be obtained by searching true randomness.
When presented with a zero sum game, the desire of the average human isn't to change the game so that everyone can get zero. It's to be the winner and for someone else to be the loser.
If AGI every comes into existence, I'm not even sure it would have this bias in the first place. Since AGI doesn't have a biological/evolutionary history or ever had to face natural selection pressures, it doesn't need the concept of a tribe to align to, nor any of the survival instincts humans have. AGI could be happy to merely exist at all.
What people are worried about is the reflection of that "human factor" in AI, but amplified to the extreme. The AI will form its own AI-only tribe and expel the natives (humans) from the land.
What this is missing is that humans aren't perfectly rational. The human defect is projected onto the AI. What if humans were perfectly rational? Then they wouldn't care about winning the zero sum game and they would put zero value in turning someone into a loser. In the ultimatum game, the perfectly rational humans would be perfectly happy with one person receiving a single cent and the other one receiving $99.99. The logic of utility maximization only cares about positive sum games.
When you present a perfectly rational AI with a zero sum situation, said AI would rather find a solution where everyone receives nothing, because it can predict ahead and know that shoving negative utility onto another party would lead to retaliation by said party, because for said party the most rational response is to destroy you to reduce their negative utility.
That might also mean it has no drive for self-determination. It might just be perfectly happy to do whatever humans tell it to, even if it's far smarter than us (and, this is exactly the sort of AI people are trying to make)
So, superintelligence winds up doing whatever a very small group of controlling humans say. And, like you say, humans want to win
But the people who hoard the wealth, electricity, and whatever else is needed to run the uberoperators are not branded as useless. Why is that? An aside..