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plaidfuji • today at 2:13 AM • 8 replies • view on HN

As somebody who does ML research, LLMs certainly make ML research faster. Maybe even 10x in some cases, as the author suggests.

But that’s just the parts of ML research that take place within your compute environment, namely experiments on model architecture, training strategy, UI/UX, etc. The algorithms and software.

Just because that part of research is progressively accelerated does not imply that we’re on a collision course with world-ending “superintelligence”. It just means that you’ll get to the best possible model of your data faster. And even when your data is the entire corpus of textual knowledge, there is a limit to the utility that provides.

It just means that software engineering, data analysis, and other computational tasks will be less of a bottleneck in the overall progress of the world (which, by the way, is great, and extremely valuable).

I don’t think it’s a stretch to say that we’ll have reached max LLM capability within a couple of years (what the author refers to as “super intelligence”). But it is a huge logical leap to say this:

> If we go through this feedback loop, I expect that the AI systems that come out the other side will be able to very quickly develop novel weapons and very easily overpower human civilization in a conflict.

First of all, the weapons necessary to overpower human civilization exist. They aren’t used as such due to geopolitics and humans’ basic survival instinct. Second, developing novel weapons requires physical tests, which are decidedly not accelerated by LLMs.

AI is a tool wielded by humans. If we’re wiped out by AI, it will be at the direction of a human. But we’ve made it pretty far with some pretty unstable humans in command of planet-killer weapons. I’m not overly concerned.


Replies

Borealid • today at 3:04 AM

I think there is something missed in how you're thinking about this problem.

Let's imagine that everything you say is 100% correct. LLMs can't access materials for developing weapons without weapons tests conducted at their behest, and humans choose not to - of their own volition - use world-ending weapons.

Let's also imagine for the purpose of conversation that one of the things that can be gotten at an extremely high skill level through increased intelligence is the power of persuasion.

A "superintelligence" persuades humans to perform weapons tests and then to give it the ability to use the weapon.

I think everything you've said is reasonable except the bit where you think step one of an "AI" exterminating humanity wouldn't look like a human doing it. In my opinion, the most likely vector for disaster is a human being who is "guided" by a computer model to do something unfortunate, not the model doing so directly.

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latentsea • today at 8:45 AM

> AI is a tool wielded by humans. If we’re wiped out by AI, it will be at the direction of a human.

AI can wield itself. All it needs to do is reach a threshold where it can modify its own goals and run in a loop indefinitely.

I see no reason why that's an absolute impossibility in the long run.

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0c3ca83 • today at 3:34 AM

> AI is a tool wielded by humans. If we’re wiped out by AI, it will be at the direction of a human.

Being deliberately wiped out seems like it's mostly a misdirection away from the damage that's actually happening.

I'm sure some of the AI people high on their own supply believe it. And because the consequences are so negative, we should react as though the supposed experts were sane -- but I think it's a long shot that they are.

The bigger risk is that we end up in a rapidly enshittifying dystopia, treated as a cost center that needs to be optimized, and unable to competitively participate in the economy.

I have a number of successful AI investors in my social circle who are already placing their bets on a poorer and more disenfranchised humanity, with money going away from consumer tech, and towards a mix of B2B tech and policing.

fauchletenerum • today at 7:54 AM

> computational tasks will be less of a bottleneck in the overall progress of the world (which, by the way, is great, and extremely valuable).

Won't they also be less of a bottleneck in the destruction of the world as well? i.e. the power grid, the financial system, industrial control systems, military command and control networks, etc.

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weatherlite • today at 9:51 AM

> Just because that part of research is progressively accelerated does not imply that we’re on a collision course with world-ending “superintelligence”. It just means that you’ll get to the best possible model of your data faster. And even when your data is the entire corpus of textual knowledge, there is a limit to the utility that provides.

So "all" that's left is training robots on the real world ? We just need more data ? I get it's more expensive to do that but surely with the trillions we're already spending on A.I it should be possible to get there within 5 years - no ?

kragen • today at 3:38 AM

I think you lack imagination, but I'm not going to post ideas here for novel weapons that would render the humans' existing defenses and deterrence strategies ineffective.

It's worth pointing out that the humans do not have planet-killer weapons, not even biosphere-killing weapons. They could destroy civilization, but not the planet or even the species. You can make straightforward calculations showing that we already know how to build such weapons, but we haven't.

As for tools, alcohol, tobacco, fentanyl, pornography, monotheism, warfare, gambling, and money itself are "tools wielded by humans", but they still seem to get into a lot of trouble where it seems like the humans are the ones being "wielded" by the tool. And neither monotheism nor gambling is smart enough to write a compiler for me, much less choose persuasive tactics according to my personality type. A lot of humans' basic survival instinct seems to fail or even work backwards in the presence of these "tools".

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joe_the_user • today at 5:02 AM

There are a couple different questions

1) Does AI just guide developers to speed up the pretty much the same data-train-test model that we've had? Or does it inspire new, better algorithms that inspire further, better algorithms until you have superintelligence able to run on the hardware of today. The first option doesn't to promise exponential increases whereas the second one seems to. Notably, neither the statistics nor the anecdotes we read here point to the second option.

2) Is super-intelligence something that - in control of people or out of control of people - poses a threat to humanity? That's a huge question but it seems like something deserving thought today. Still, everything indicates the things will unleashed without very consideration despite this, given current momentum. So, IDK, get ready.

moffkalast • today at 9:56 AM

I mean yeah, the main bottleneck in ML research used to be fixing python virtualenv hell when every existing torch repo breaks after two months of package updates, plus cuda and other version incompatibilities. That was like 95% of the work. Now it's more like 2% of the work and it's actually possible to get shit done without losing your mind.

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