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Where does next-token prediction leave us?

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Re: Where does next-token prediction leave us?

#61
post #54

Earlier quoted context omitted.

Perhaps this is a form of Gell-Mann Amnesia (but kinda inverted) where everyone views AI as too inaccurate for their own niche , but perfectly fine for every other field that they know comparably little about.

Actually I think AI will largely automate software and math and really not much else in the short to medium term. (speaking as a computer/math person)

I don't see why that should be the case. The only reason software is getting focused on first is:

1. Software devs are obviously going to have a better idea how to apply AI to software development compared to other fields. So of course the coding tools are going to be the first things made.

2. Formal verification makes the problem easier by allowing for iterative feedback (compilers, proofs, etc.)

The second argument is, I think, somewhat valid, but ignores that a lot of other professions also have similar verification systems even if they're a bit less rigorous. The first argument just explains why things are the way they are now, it's not indicative of the future. I don't want to fall into the trap of thinking that other jobs than mine require less cognitive horsepower or whatever, but I don't see what's particularly special about other jobs if it can do hard STEM stuff.

Re: Where does next-token prediction leave us?

#62
This author fundamentally doesn't understand the mental model of the people they are describing and makes huge sweeping claims in what they think is a in a savvy manner but they are completely wrong.

Here's the RIGHT mental model of the people the author is talking about.

1. If AI is good enough that it can boost productivity by 20% then it is good for society in general because the gains will be redistributed (as it has always been). So even if it is ME who is getting laid off, I will still say it is still good for society because that's how progress happens - by breaking eggs to make omelettes

2. If AI is so good that it can replace full professions altogether like Mathematics, it is a profound joyful moment for humanity. What better thing can happen to the curious ones amongst us to get an oracle that can answer every question? Why does the author seem to scoff at this?

3. If AI is so good that it is a complete superset of humans itself, it is much much more profound moment when civilisation will be changed in ways that English doesn't even have the vocabulary to describe. It can't be stopped nor is it clear that it should.

The author is in curious and has a bad mental model of the people they are describing. They say it is a "class" issue and bring old outdated Marxist terminology to prop up their weak argument.

Re: Where does next-token prediction leave us?

#65

I have a more depressing theory. I think class is part of it, but I'm starting to suspect that a shockingly large number of people lack the critical thinking skills needed to think out the implications of this stuff. I say that because I've met so many people of the managerial class that seem to think it's going to replace the annoying people they have to pay, but somehow they don't think it's going to come for them…

Some get it, though. When I quipped that Claude may eventually replace me, my manager was visibly shaken as he mentioned it would probably come for him first. I feel better about it than I did a few months ago. Still seems like there’s something missing that is going to be hard to make happen. I forsee humans being necessary for a long while yet.

The billionaires building doomsday bunkers get it.

Re: Where does next-token prediction leave us?

#66

Earlier quoted context omitted.

Some get it, though. When I quipped that Claude may eventually replace me, my manager was visibly shaken as he mentioned it would probably come for him first. I feel better about it than I did a few months ago. Still seems like there’s something missing that is going to be hard to make happen. I forsee humans being necessary for a long while yet.

> Still seems like there’s something missing that is going to be hard to make happen. I think part of the negative societal response to AI is the uncertainty of it all. AI killing me, taking my job, augmenting me, curing me of old age, all seem like viable futures within my lifetime given the information I have. People want to know it's going to be okay and even the smartest experts can't credibly promise them that.

Realistically, I've only seen evidence about AI taking people's jobs, as is the case with LLMs, and in the case of robotics, killing people. Augmentation has always been something that gets talked about in research labs but I've never seen an actual product; and curing disease and old age is the domain of more traditional ML methods.

I know Altman has been going around selling visions of curing cancer and the like, but when he talks about standing up new DC or getting a new investment most of that is going towards LLMs, not cancer research.

Re: Where does next-token prediction leave us?

#67

I have a more depressing theory. I think class is part of it, but I'm starting to suspect that a shockingly large number of people lack the critical thinking skills needed to think out the implications of this stuff. I say that because I've met so many people of the managerial class that seem to think it's going to replace the annoying people they have to pay, but somehow they don't think it's going to come for them…

> society is just going to stay stable and they're going to be safe?

I think this ties in with the rise of racism over the last two decades. Historically, antisemitism has been instrumentalized by the elites in order to deflect animosity from the lower classes: "look, it's not us that are robbing you blind, it's the Jews!"

I see the same thing happening today in the Western world. The elites are squeezing more and more of our countries' wealth, turning governments them into hollow sources of rent, while at the same time backing corrupt politicians who tell us our misery is all because of (illegal) immigrants.

> the people that are cheering for it need to really consider what they're cheering for.

Indeed. To me if there's one reason to oppose the use of AI technology, it is political. Sadly, the SWE class (if it can be called that), being better off than the majority of humans on earth, seems to care very little for class issues and inequality in general, maybe out of self-interest. But as you said, the machine will be coming for them too, it's just a question of when, not if.

Re: Where does next-token prediction leave us?

#68

I have a more depressing theory. I think class is part of it, but I'm starting to suspect that a shockingly large number of people lack the critical thinking skills needed to think out the implications of this stuff. I say that because I've met so many people of the managerial class that seem to think it's going to replace the annoying people they have to pay, but somehow they don't think it's going to come for them…

[flagged]

One would hope progress directly benefits more than the tech CEOs and investors. They're the ones going around heralding fully automated societies and god-level AIs. Open minded people also recognize the dangers of technological disruption. Let us not forget how social media went from being viewed as utopian to dystopian in a decade.

Re: Where does next-token prediction leave us?

#69

I have a more depressing theory. I think class is part of it, but I'm starting to suspect that a shockingly large number of people lack the critical thinking skills needed to think out the implications of this stuff. I say that because I've met so many people of the managerial class that seem to think it's going to replace the annoying people they have to pay, but somehow they don't think it's going to come for them…

I don't think its entirely class. I've met many people who have convinced themselves they have some special sauce--even in software! And even those who are insulated like doctors and plumbers don't realize they're still at risk from second order effects. What happens when half of their customers are broke? That possibility is not an exaggeration. Even if everyone re-skills over night, people will default on their mortgages at a scale greater than the '08 financial crisis.

And that's just one devastating outcome. There will be far more, and for some reason, no one is talking about them.

Re: Where does next-token prediction leave us?

#70

I have a more depressing theory. I think class is part of it, but I'm starting to suspect that a shockingly large number of people lack the critical thinking skills needed to think out the implications of this stuff. I say that because I've met so many people of the managerial class that seem to think it's going to replace the annoying people they have to pay, but somehow they don't think it's going to come for them…

Perhaps this is a form of Gell-Mann Amnesia (but kinda inverted) where everyone views AI as too inaccurate for their own niche , but perfectly fine for every other field that they know comparably little about.

The real trouble isn't that it can replace us. Instead, consider that when there have been two comparable technologies in the market, the market has invariably chosen the lowest-quality/worst one. Why? That's easy to understand... while the chosen option is objectively the worst, it's always the cheapest. And cheapest wins. It's not "can AI do his job?" so much as "is the AI cheaper than a human?". And I think we all know the answer to that... even if the silicon's expensive now, volume pricing, data center buildouts, and other economic forces will soon make it cheaper.

The thing that is truly mysterious to the managerial and ruling classes though... when everyone is unemployed, who will be able to afford to buy your junk? Whatever industry you're in, whatever it is you're selling, the people buying that have the money to buy it because they still have jobs. If you're cutting jobs at your company, that helps the bottom line, but every other company is doing the same thing. And they're laying off your customers.

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