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?
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.
Hasn't this been the case since the power loom put hand weavers out of a job?
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.
Also your example with Ferrari is completely flawed, and I dont give a fuck about what investment bankers think or do. What are you even talking about here?
Please explain the first part more than you hand waved away to make a completely unrelated metaphorical case. What is the ability to create software if not software engineering? How are both different?
AI doesn't make that learning and understanding easy but just allows people to skip it.
That doesn't mean democratization at all.
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...
I, personally, think that this is somewhat like hoping that mining coal will lead to a great leap forward in development because mining coal led in the past to a great leap forward in development.
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 mentioned 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.
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.