People have bargaining power through their military services. If even that job is taken by AI, there is truly no recourse for the people left at all. These are the sentiments of Yuval Noah Harari.
> Non-technical middle managers who have not written a line of code in their lives, now feel that the biggest obstacle between them and greatness has lifted.
I find it interesting how this is almost the “democratization” you mentioned that AI provides. While AI “democratizes” certain technical ability, in some ways the democratization of things can actually be bad, in that this “democratization” pushes us towards a system in which people are completely fungible, and so lose their individual bargaining capability. By democratizing this ability to the non-technical middle manager, the junior software engineer ends up losing their unique contribution and hence vote.
I read a while ago about boycotting AI if you can, and I would love to, but this issue makes me wonder if that could even be effective. If the goal is to remove every unique contribution you provide, what can you take away with a boycott?
> in that this “democratization” pushes us towards a system in which people are completely fungible, and so lose their individual bargaining capability.
Hasn't this been the case since the power loom put hand weavers out of a job?
I'm thinking of some similarity between the non-technical middle manager using agents to avoid the biggest obstacle of their developers, and a person installing a wall socket at home.
It's not too difficult to install a wall socket, but many things can go wrong, so people would normally call an electrician. In some jurisdictions you are not allowed to install it without a license, or probably you can install it only for yourself but not for anyone else if you don't have a license, and you need to call an inspector and check your work when you're done. Some other jurisdictions truly don't care, you can do whatever, and all the possible damage is on you.
Electricians are somewhat fungible, because you often don't care who will do the job for you, but the profession exists and they can pay their bills.
I wonder how far we are until, at least in some jurisdictions, a person won't be legally allowed to update the website that stores customers' data or processes payments without being a licensed software developer, and how rules, should they be adopted, will change our profession.
I hate the term "democratization". It's putting a respectable face on something that shouldn't be respectable at all. In the age of the internet, coding and other creative skills have always been largely democratized to people that care enough to learn. Nothing is being "democratized" by AI, there's simply (an attempt) at driving the value of actual skill to zero so the skill-less and stupid can purchase their way to mediocrity (without the benefit of transferring that money to someone who has worked to be skilled). There is NOTHING "democratic" about that.
It’s not coding that’s being democratized, it’s the ability to create games, tools, etc, that require coding.
Suppose it became possible to buy a Ferrari (not that new hideous one) for $5k. That would be democratizing Ferrari ownership: far more people could do it. I’m sure there would be investment bankers who would complain it devalues their hard work (I am not a fan of those people, but it is notoriously long hours). Does that make a $5k Ferrari less of a democratization?
That's a product, not a skill. We're not talking about people getting cheap cars, we're talking about nobody being able to make a living anymore. And no, this isn't like other revolutions, because there's no "upskilling" into it when it threatens all white collar work. (I'm sorry but I don't think prompting AI is going to be some amazing new profession, it'll be at best a transitory phase). Best case is to buy some durable jeans and learn a trade?
Of course, I don't think this is happening any time soon because I don't believe the hype machine. But if you do believe the hype machine, you should be honest about what you're facing.
Also, for what it's worth as a person that's written (and will continue to write) games and tools etc., there were already plenty of forces democratizing that (free engines, asset stores with reusable code and art, etc.) The difference was that there was still skill involved, and at the end of the day you were paying another human being for their effort if you bought or used pre-existing components. There's no skill in AI, not really.
Also, I'm really not that interested in playing a game created by AI, and judging from the reaction gamers and game developers have had to this technology, I don't think many people are. So, yay, you can make a game that has a tiny audience with zero satisfaction from having done something hard and learned something? Also it's likely going to be extremely derivative, because the AI can only really work with what it's been trained on.
Calling this a straw man would be attributing an unnecessarily sturdy construction.
Yes there are people making stupid claims on all sides. Attributing phrasing like solved or cooked is as if it is some sort of fanatic specific jargon simply ignores the terminology of different groups of people. I don't use cooked myself, but I am not so ignorant of the younger generation that is see it is just another in the long line of terms like sick, bogus, hip, radical, macaroni, etc.
The author plays the trick of flipping the situation from stochastic parrots or next token prediction. Those are "taken as pejorative" whereas cooked and solved "to signal"
The flip is done to place the fault on the other party. You could equally uncharitably say that invoking next token prediction or stochastic parrots is signalling, whereas AI skeptics take terms like cooked as pejorative.
Specifically on the topic of next token prediction, we are already past that phase. Even then I don't think that a model trained by prediction has the limitations that people think it does. As a thought terminating cliche it is simply obsolete when models are trained on reinforcement techniques where there is no template next word to predict. Diffusion models don't even have an autoregressive nature.
I am not terribly fond of the claims made by people at the extremes of any particular to issue. We can perhaps try debating the facts of the matter rather than assuming the internal thoughts of people who might disagree with you.
I generally do not attribute malice to people who describe models as next word predictors. Most are simply uninformed and if you query what their understanding is of a model then you see that what they are imagining is a Markov chain. Investigating if their imagined model could correctly use "an" before "alligator" but obviously not choosing an animal beginning with a vowel just because it had just said "an" often leads them to think that there's more going on than just the next word.
> Specifically on the topic of next token prediction, we are already past that phase.
We really aren't past that phase at all. Reasoning models are just next-token prediction trained in a way where it thinks out loud, essentially. (Source: books on how LLMs actually work, and asking ChatGPT directly!) Harnesses and tool use help a little bit, but it doesn't change fundamentally what an LLM is.
>But lately I’ve been thinking if it is just a class issue? This cohort of people likely have a cushion that softens the concussive blows they are doling out right now. They perhaps have the luxury of a somewhat functioning government and a social safety net that they are witness to in all walks of life. Over half the world does not. Science and technology, I feel, has always had a certain apathy towards the plight the people at the bottom rungs.
In the data I've seen, the US and European countries have a more negative view of AI than China and developing countries. Doesn't that fly in the face of the premise here that only people that have economic security support AI?
One large part of this is that all the heads of AI companies and business leaders in the US and Europe keep talking about how AI is going to take jobs away and displace "lower-value human capital", while we see power shortages and higher energy rates in areas where AI datacenters are built. Meanwhile, China's 15th 5 year plan involves integrating AI across the whole economy while expanding vocational retraining programs, and building out new renewable infrastructure to power datacenters. The Chinese Human Resources Ministry expects AI to create 6-10 million new jobs in the short term, and the Chinese government plans to use it in the long term to fill in gaps in the labor force caused by its demographic shortages.
I think this is a big reason why the Chinese have a more positive view of AI than the West: their leaders have a clear plan to mitigate the negative externalities of introducing AI, and ours don't.
The classic progression of an economy is resource -> manufacturing -> knowledge.
AI turns this line into a circle by making knowledge a resource problem. Less developed economies with a lot of natural resources and manufacturing like China's are less at risk than heavily knowledge-based economies like Europe's.
Maybe it has to do with % of blue collar vs. white collar jobs in those countries? I also wonder if they have stronger safety nets for displaced workers? It is curious. My anecdata has shown that people who feel "safe" job wise are either neutral or pro. Otherwise negative.
> In the data I've seen, the US and European countries have a more negative view of AI than China and developing countries.
I think that's more a sign of the relative state of these economies and the rate of progress. In developing economies, people see progress as something that will improve their lives. In developed economies, they see it as something that will disrupt their current status quo and must be stopped.
The attitudes aren’t 1-1 comparable. China is on a winning streak in terms of socioeconomic development, and AI is likely seen as merely a new technology in the context of the social contract. The US is going the opposite way, and people here view AI through the lens of oligarchy more often than not. I wouldn’t say that a lot of people feel as optimistic, even if they are actually more economically secure.
Do you have direct experience with this? From what I understand China has huge youth employment issues right now, and the 35 and out (at even non tech companies) meme has some basis in reality.
China historically has had a poor social safety net, but made up for it with a more dynamic labor market (well, we could say the same about the USA vs Europe).
The idea of the social contract impacting perceptions of AI is interesting to me. I hate to use the words “permanent underclass”, but perhaps the main difference is a fear of that permanent underclass actually materializing. In the US, it seems that that would be the logical endpoint of the capitalist system and many people predict AI simply replacing them permanently. Of course, China is not completely communist, but since their social contract is much less individualistic and more collectivist, maybe that makes people see AI as much more likely to uplift society as a whole or at least “trickle down”.
I think this might be a bigger reason as China’s economy for the youth isn’t looking the brightest right now.
> The compartmentalisation that must be required by the scientists and engineers to reconcile with the fact that their work being used to bomb and kill people must be crazy.
I think about a related question pretty often: What proportion of people working at these companies are "true believers", that their work will be a net benefit for humanity? And for those people (if they are at all numerous), how do they plan to fight back against the obvious harms that are already occurring?
I just can't imagine working at one of these companies without hating myself. But I suppose with what they're being paid, they can afford a very good therapist...
If one works for a gun manufacturer, should they feel personally guilty when crimes are committed? What about when police arrest a criminal without injury? Perhaps the balance is determined whether the viewpoint is from one of killing or one of deterrence.
If a doctor provides medical care that extends a to-be murder’s lifespan, is that a good thing? Sure, hopefully most patients aren’t and the provided care is a “net positive”, but does that make it okay?
Sure, one can say, I’ll do paper sales at Dunder Miflin and not have to worry about these problems. Few have been murdered by paper cut. However if they aren’t the #1 paper supplier for almost every “evil” entity one can imagine, it’s ONLY because they failed to do so. It’s easy to pretend to be virtuous after failing otherwise.
That said, I’m not sure if I have ever met any true believers. The executives that claim to be clearly aren’t. The intellectually curious are motivated by the problem, not the product.
> If one works for a gun manufacturer, should they feel personally guilty when crimes are committed?
I don't think this analogy holds. You could use a gun to commit a crime, but you could also use a gun to defend yourself. On the other hand, if your CEO is talking about getting rid of all labor, well, you're kind of complicit in the crime if you keep working there. There's no ambiguity as to "what will this be used for", like there is with a gun.
Honestly, I'm baffled that a software engineer would want to work at those companies. Like, you think they're going to keep you around once their AI is good enough to improve itself? Or are they just holding out hope that they can get their bag before billionaires create a permanent underclass, and they can be a step above the untouchables?
Every time someone invokes the "playing God" / "the hubris of creation" card, it makes me think they're the proud ones, and this case is none the different.
I don't know why the author is so surprised people want freedom from others. We're the original bullshit machines, and with every useful invention, an additional chunk of utter snakeoil is snuffed out. We're not particularly reliable either. In an old post I can't find for example, I remarked how people can apparently do figure out how to document and coach properly, as long as the target is an LLM, not a human. Suddenly the limits and importance of attention, contextualization, clarity, working memory size, etc. are not so elusive and debatable after all.
I'm sure I need not to remind the author of the "certainty of steel" quote, as ironic as that'd be for an indeed inherently stochastic system. A parrot though, I'm not so sure. "Not sure" why the author feels compelled to conditionally deny it is absolutely meant to be pejorative either.
> Science and technology, I feel, has always had a certain apathy towards the plight [of] the people at the bottom rungs.
Does that apply to medical advances too? e.g. antibiotics, vaccines, etc. too? We are living longer today thanks to advances in science and technology. Not just the people at the top; but also the peopl at the bottom rungs. Most scientific research does not take into account who the beneficiaries of that research would be.
I find it interesting how this is almost the “democratization” you mentioned that AI provides. While AI “democratizes” certain technical ability, in some ways the democratization of things can actually be bad, in that this “democratization” pushes us towards a system in which people are completely fungible, and so lose their individual bargaining capability. By democratizing this ability to the non-technical middle manager, the junior software engineer ends up losing their unique contribution and hence vote.
I read a while ago about boycotting AI if you can, and I would love to, but this issue makes me wonder if that could even be effective. If the goal is to remove every unique contribution you provide, what can you take away with a boycott?
Hasn't this been the case since the power loom put hand weavers out of a job?
It's not too difficult to install a wall socket, but many things can go wrong, so people would normally call an electrician. In some jurisdictions you are not allowed to install it without a license, or probably you can install it only for yourself but not for anyone else if you don't have a license, and you need to call an inspector and check your work when you're done. Some other jurisdictions truly don't care, you can do whatever, and all the possible damage is on you.
Electricians are somewhat fungible, because you often don't care who will do the job for you, but the profession exists and they can pay their bills.
I wonder how far we are until, at least in some jurisdictions, a person won't be legally allowed to update the website that stores customers' data or processes payments without being a licensed software developer, and how rules, should they be adopted, will change our profession.
Suppose it became possible to buy a Ferrari (not that new hideous one) for $5k. That would be democratizing Ferrari ownership: far more people could do it. I’m sure there would be investment bankers who would complain it devalues their hard work (I am not a fan of those people, but it is notoriously long hours). Does that make a $5k Ferrari less of a democratization?
Of course, I don't think this is happening any time soon because I don't believe the hype machine. But if you do believe the hype machine, you should be honest about what you're facing.
Also, for what it's worth as a person that's written (and will continue to write) games and tools etc., there were already plenty of forces democratizing that (free engines, asset stores with reusable code and art, etc.) The difference was that there was still skill involved, and at the end of the day you were paying another human being for their effort if you bought or used pre-existing components. There's no skill in AI, not really.
Also, I'm really not that interested in playing a game created by AI, and judging from the reaction gamers and game developers have had to this technology, I don't think many people are. So, yay, you can make a game that has a tiny audience with zero satisfaction from having done something hard and learned something? Also it's likely going to be extremely derivative, because the AI can only really work with what it's been trained on.
Yes there are people making stupid claims on all sides. Attributing phrasing like solved or cooked is as if it is some sort of fanatic specific jargon simply ignores the terminology of different groups of people. I don't use cooked myself, but I am not so ignorant of the younger generation that is see it is just another in the long line of terms like sick, bogus, hip, radical, macaroni, etc.
The author plays the trick of flipping the situation from stochastic parrots or next token prediction. Those are "taken as pejorative" whereas cooked and solved "to signal"
The flip is done to place the fault on the other party. You could equally uncharitably say that invoking next token prediction or stochastic parrots is signalling, whereas AI skeptics take terms like cooked as pejorative.
Specifically on the topic of next token prediction, we are already past that phase. Even then I don't think that a model trained by prediction has the limitations that people think it does. As a thought terminating cliche it is simply obsolete when models are trained on reinforcement techniques where there is no template next word to predict. Diffusion models don't even have an autoregressive nature.
I am not terribly fond of the claims made by people at the extremes of any particular to issue. We can perhaps try debating the facts of the matter rather than assuming the internal thoughts of people who might disagree with you.
I generally do not attribute malice to people who describe models as next word predictors. Most are simply uninformed and if you query what their understanding is of a model then you see that what they are imagining is a Markov chain. Investigating if their imagined model could correctly use "an" before "alligator" but obviously not choosing an animal beginning with a vowel just because it had just said "an" often leads them to think that there's more going on than just the next word.
We really aren't past that phase at all. Reasoning models are just next-token prediction trained in a way where it thinks out loud, essentially. (Source: books on how LLMs actually work, and asking ChatGPT directly!) Harnesses and tool use help a little bit, but it doesn't change fundamentally what an LLM is.
In the data I've seen, the US and European countries have a more negative view of AI than China and developing countries. Doesn't that fly in the face of the premise here that only people that have economic security support AI?
https://www.visualcapitalist.com/survey-how-21-countries-vie...
https://www.ipsos.com/en/conflicting-global-perceptions-arou...
https://www.mexc.com/news/161986
I think this is a big reason why the Chinese have a more positive view of AI than the West: their leaders have a clear plan to mitigate the negative externalities of introducing AI, and ours don't.
AI turns this line into a circle by making knowledge a resource problem. Less developed economies with a lot of natural resources and manufacturing like China's are less at risk than heavily knowledge-based economies like Europe's.
I think that's more a sign of the relative state of these economies and the rate of progress. In developing economies, people see progress as something that will improve their lives. In developed economies, they see it as something that will disrupt their current status quo and must be stopped.
China historically has had a poor social safety net, but made up for it with a more dynamic labor market (well, we could say the same about the USA vs Europe).
I think this might be a bigger reason as China’s economy for the youth isn’t looking the brightest right now.
I think about a related question pretty often: What proportion of people working at these companies are "true believers", that their work will be a net benefit for humanity? And for those people (if they are at all numerous), how do they plan to fight back against the obvious harms that are already occurring?
I just can't imagine working at one of these companies without hating myself. But I suppose with what they're being paid, they can afford a very good therapist...
If one works for a gun manufacturer, should they feel personally guilty when crimes are committed? What about when police arrest a criminal without injury? Perhaps the balance is determined whether the viewpoint is from one of killing or one of deterrence.
If a doctor provides medical care that extends a to-be murder’s lifespan, is that a good thing? Sure, hopefully most patients aren’t and the provided care is a “net positive”, but does that make it okay?
Sure, one can say, I’ll do paper sales at Dunder Miflin and not have to worry about these problems. Few have been murdered by paper cut. However if they aren’t the #1 paper supplier for almost every “evil” entity one can imagine, it’s ONLY because they failed to do so. It’s easy to pretend to be virtuous after failing otherwise.
That said, I’m not sure if I have ever met any true believers. The executives that claim to be clearly aren’t. The intellectually curious are motivated by the problem, not the product.
I don't think this analogy holds. You could use a gun to commit a crime, but you could also use a gun to defend yourself. On the other hand, if your CEO is talking about getting rid of all labor, well, you're kind of complicit in the crime if you keep working there. There's no ambiguity as to "what will this be used for", like there is with a gun.
I don't know why the author is so surprised people want freedom from others. We're the original bullshit machines, and with every useful invention, an additional chunk of utter snakeoil is snuffed out. We're not particularly reliable either. In an old post I can't find for example, I remarked how people can apparently do figure out how to document and coach properly, as long as the target is an LLM, not a human. Suddenly the limits and importance of attention, contextualization, clarity, working memory size, etc. are not so elusive and debatable after all.
I'm sure I need not to remind the author of the "certainty of steel" quote, as ironic as that'd be for an indeed inherently stochastic system. A parrot though, I'm not so sure. "Not sure" why the author feels compelled to conditionally deny it is absolutely meant to be pejorative either.
One does not need to be blind to the prospective pitfalls either: https://news.ycombinator.com/item?id=48196923
> Science and technology, I feel, has always had a certain apathy towards the plight [of] the people at the bottom rungs.
Does that apply to medical advances too? e.g. antibiotics, vaccines, etc. too? We are living longer today thanks to advances in science and technology. Not just the people at the top; but also the peopl at the bottom rungs. Most scientific research does not take into account who the beneficiaries of that research would be.
I would consider that apathy.