I'm sure some people will have issue with my phrasing but, honest question:
Are there examples of where we have collective decided not to pursue knowledge? Successfully?
I guess nuclear weapons might be the best example though research doesn't seem have to actually "stopped" as much as gone underground and we still have country trying to climb that ladder.
But I don't know how relevant that is to LLMs/AI. It almost feels like pandora's box is open and our only option is continue to improve them. There is clearly value in what they do and while I can absolutely see the dangers, for example: authoritative governments and surveillance, I'm not convinced to throw the baby out with the bathwater.
All of technology back to the printing press (and probably before that) could also be said to make it easier for governments to oppress their citizens. Making laws (and enforcing them!) to prevent governments from doing these things feels like that route forward, not trying to stick our heads in the sand.
Perhaps I'm horribly naive, perhaps I just see the SciFi future I've spent my life reading and dreaming about on the horizon and I'm blinded by the reality, perhaps my ideals around "knowledge deserves to be free/accessible" are misguided. I don't know.
No, of course not. That would be an insane trust fall. Even relatively small advances in technology give a country world dominating power. Fun fact: India was militarily superior to Britain in the 1600s—a gunpowder empire with a million soldiers—but was taken over by it in the 1700s. Britain’s edge was small: lighter, more maneuverable cannons, standardized ammunition, better military and political organization. Not a first world country versus a third world country—more like the dynamic US versus a sclerotic EU. And that modest edge led to 200 years of colonization.
If we slow down on ASI voluntarily we’d be allowing a gap to open up that would make the difference between colonial europe and colonized Asia/Africa look trivial. It would be insane.
If you read the scenario, you'll see that the regulations are mostly about what people can do with giant compute clusters, and not about the ideas themselves. The ideas themselves are required to be totally transparent to the public.
As for historic precedents: Human cloning, human genome editing, and mirror life seem like one precedent; nuclear weapons and nuclear energy another; come to think of it I think drone delivery was strangled by regulations too...? Plan A isn't a proposal to never build superintelligence, it's a proposal to build it more cautiously and transparently.
The decision to not go with the development of extremely large thermonuclear weapons might count - the US Sundial Project was supposed to be about 10 gigatons of TNT. Not the most practical weapons but once you get to a certain size delivery arguably stops being a problem - its going to kill everyone anyway so doesn't matter where you let it off!
Yes, there are examples of where we have collective decided not to pursue a particular technology tree.
For one, Japan banned guns for a few centuries. (Its warrior class was politically powerful and judged that guns would disrupt class relations too much.)
And there have been successful world-wide bans.
For example, following the invention of recombinant DNA technology, scientists convened the Asilomar Conference in 1975. They established a voluntary self-moratorium on certain types of genetic engineering until strict laboratory containment protocols were created.
In the 1980s, bioethicists, theologians, and researchers established a hard ethical line between somatic editing (treating an existing patient's non-reproductive cells) and germline editing (altering future generations).
No one has performed the latter form of genetic engineering except for Chinese scientist He Jiankui in 2018. (Chinese society used to be more ambivalent about the technology than the West is.) In response, Beijing heavily tightened its laws, classifying heritable gene editing as a high-risk medical technology subject to the penal code, and He Jiankui was sentenced to three years in prison.
Taking the approach with AI that we took with the atomic bomb would be catastrophic. If the only people who are allowed to use this technology are governments, intelligence agencies, and a select few anointed companies, then the risk of authoritarian misuse will skyrocket.
I worry that any attempt to limit their use and development will be abused and misdirected. We are already seeing people like Anthropic doing this, they are trying to use anti-AI sentiment to engage in regulatory capture. Go watch Dario’s speeches about how open weight models are dangerous and how they are “not really open”. Everyone can see that much of this “safety” conversation is ultimately just a tactic to shut potential competitors out of the market and establish a monopoly/duopoly.
I agree. I guess I should have said something like:
"Stopping" LLM research just means it will be in the hands of a few who can abuse it. I'd rather a state of M.A.D. but instead of a handful of countries/governments it's millions/billions of people with access to the models (open ideally). Again, perhaps horribly naive or misguided, I understand that bioterrorism could (is?) a real problem as well as more "mundane" things like building a bomb (nuclear or otherwise).
I just feel like limiting access to governments or "blessed" entities is even worse.
I found the AI 2027 paper to be overly optimistic, but not wholly fantastical. This paper feels wildly speculative, and relies on premises I am not confident even pass surface reasoning. Even under optimistic conditions, we are not going to see robots "capable of 95% of all cognitive and physical tasks" by 2035. Nor do I think a 74% unemployment rate is even remotely possible. Economic collapse would implode AI development long before those figures were plausible.
It seems to me
we’re already at the top of the S curve, not at the toe of an exponential curve. At least with LLMs. Better training data will make small improvements, better architecture will make it less compute intensive, and all these “hyper-scale” data centers will make it cheap and ubiquitous. But none of that is it getting exponentially more intelligent.
This is dangerously naive and misguided. They claim to want to avoid centralization of control but propose a world police state of AI regulation. Governments exerting this much control will only end in war and tyranny.
If carbon taxes are already a lethal policy for an political campaign, it's absurd to think that fears of ASI will create any real movement around pausing AI.
If there is any movement to pause AI development, it will come from the general public's dislike of these companies. Not from the AI safety angle.
If that is true and one cares about a moratorium on progress in the US then it seems like the number one way is to meet people where they are: so water use misinformation, degrowth, power supply constraints. That does place all the people who push for these things in a different light. They may well be attempting to do what the AI safety labs are ostensibly trying to do.
As an AI safetyist, one’s closest ally (in a distributed coordinated way) is the populist misinformer. Fascinating.
If there's going to be any pause, I'm sure it will come from a populist movement. I just can't imagine misplaced worries about AI water use will translate into the kinds of policy the authors want to see.
Yeah it’s like shoving the top of a double pendulum. You will get some movement in one direction, but where it will precisely land is hard to predict. The water-use argument is already earning refinement by differentiating “AI datacenters” from “normal datacenters” in an effort to control the movement.
I imagine any populism movement will require rampant fearmongering to get a result. Considering the rough present alignments, presumably blue tribe focused propaganda will involve climate and inequality focused fear and red tribe focused propaganda will involve job loss. Grey tribe positioning is the P(doom) meme where everyone is rewarded for a high-P(doom) estimate.
Hey, author here! Scott did contribute, but less than before.
On his blog he says: "I did a lot of writing for AI 2027 and was listed as a co-author. Some of my writing made it into Plan A too, but it was a bit less. The difference is of degree rather than kind, but because of this - and to give me more latitude to discuss it the way I like with less PR blowback - we decided not to put me as a co-author this time. I continue to be proud of having a part in this, small as it may be. (related: everything in this post is my opinion only, and not officially endorsed by the AI Futures Project)"
People overestimate progress in physical world.
2035:
robot population will soon be larger than the human one
I'd bet that in most places 9 years is about the time needed to build a residential building. I think a good way to think about this is to think of this as producing a serial car. From pitching and capital acquisition to building a prototype to software, regulatory and then the final product which needs multiple factories and supply chains. Yes, of course robots sound cooler and there are compounding effects yada yada, but on the other side there are as many obstacles as things that accelerate this product (like capital acquisition and fearmongering of gov to bend regulatory stuff faster).
I'm sure some people will have issue with my phrasing but, honest question:
Are there examples of where we have collective decided not to pursue knowledge? Successfully?
I guess nuclear weapons might be the best example though research doesn't seem have to actually "stopped" as much as gone underground and we still have country trying to climb that ladder.
But I don't know how relevant that is to LLMs/AI. It almost feels like pandora's box is open and our only option is continue to improve them. There is clearly value in what they do and while I can absolutely see the dangers, for example: authoritative governments and surveillance, I'm not convinced to throw the baby out with the bathwater.
All of technology back to the printing press (and probably before that) could also be said to make it easier for governments to oppress their citizens. Making laws (and enforcing them!) to prevent governments from doing these things feels like that route forward, not trying to stick our heads in the sand.
Perhaps I'm horribly naive, perhaps I just see the SciFi future I've spent my life reading and dreaming about on the horizon and I'm blinded by the reality, perhaps my ideals around "knowledge deserves to be free/accessible" are misguided. I don't know.
No, of course not. That would be an insane trust fall. Even relatively small advances in technology give a country world dominating power. Fun fact: India was militarily superior to Britain in the 1600s—a gunpowder empire with a million soldiers—but was taken over by it in the 1700s. Britain’s edge was small: lighter, more maneuverable cannons, standardized ammunition, better military and political organization. Not a first world country versus a third world country—more like the dynamic US versus a sclerotic EU. And that modest edge led to 200 years of colonization.
If we slow down on ASI voluntarily we’d be allowing a gap to open up that would make the difference between colonial europe and colonized Asia/Africa look trivial. It would be insane.
If you read the scenario, you'll see that the regulations are mostly about what people can do with giant compute clusters, and not about the ideas themselves. The ideas themselves are required to be totally transparent to the public.
As for historic precedents: Human cloning, human genome editing, and mirror life seem like one precedent; nuclear weapons and nuclear energy another; come to think of it I think drone delivery was strangled by regulations too...? Plan A isn't a proposal to never build superintelligence, it's a proposal to build it more cautiously and transparently.
The decision to not go with the development of extremely large thermonuclear weapons might count - the US Sundial Project was supposed to be about 10 gigatons of TNT. Not the most practical weapons but once you get to a certain size delivery arguably stops being a problem - its going to kill everyone anyway so doesn't matter where you let it off!
https://en.wikipedia.org/wiki/Sundial_(weapon)
Edit: Mind you, I wonder if the design for Sundial is stored somewhere...
Yes, there are examples of where we have collective decided not to pursue a particular technology tree.
For one, Japan banned guns for a few centuries. (Its warrior class was politically powerful and judged that guns would disrupt class relations too much.)
And there have been successful world-wide bans.
For example, following the invention of recombinant DNA technology, scientists convened the Asilomar Conference in 1975. They established a voluntary self-moratorium on certain types of genetic engineering until strict laboratory containment protocols were created.
In the 1980s, bioethicists, theologians, and researchers established a hard ethical line between somatic editing (treating an existing patient's non-reproductive cells) and germline editing (altering future generations).
No one has performed the latter form of genetic engineering except for Chinese scientist He Jiankui in 2018. (Chinese society used to be more ambivalent about the technology than the West is.) In response, Beijing heavily tightened its laws, classifying heritable gene editing as a high-risk medical technology subject to the penal code, and He Jiankui was sentenced to three years in prison.
Taking the approach with AI that we took with the atomic bomb would be catastrophic. If the only people who are allowed to use this technology are governments, intelligence agencies, and a select few anointed companies, then the risk of authoritarian misuse will skyrocket.
I worry that any attempt to limit their use and development will be abused and misdirected. We are already seeing people like Anthropic doing this, they are trying to use anti-AI sentiment to engage in regulatory capture. Go watch Dario’s speeches about how open weight models are dangerous and how they are “not really open”. Everyone can see that much of this “safety” conversation is ultimately just a tactic to shut potential competitors out of the market and establish a monopoly/duopoly.
I agree. I guess I should have said something like:
"Stopping" LLM research just means it will be in the hands of a few who can abuse it. I'd rather a state of M.A.D. but instead of a handful of countries/governments it's millions/billions of people with access to the models (open ideally). Again, perhaps horribly naive or misguided, I understand that bioterrorism could (is?) a real problem as well as more "mundane" things like building a bomb (nuclear or otherwise).
I just feel like limiting access to governments or "blessed" entities is even worse.
I found the AI 2027 paper to be overly optimistic, but not wholly fantastical. This paper feels wildly speculative, and relies on premises I am not confident even pass surface reasoning. Even under optimistic conditions, we are not going to see robots "capable of 95% of all cognitive and physical tasks" by 2035. Nor do I think a 74% unemployment rate is even remotely possible. Economic collapse would implode AI development long before those figures were plausible.
It seems to me we’re already at the top of the S curve, not at the toe of an exponential curve. At least with LLMs. Better training data will make small improvements, better architecture will make it less compute intensive, and all these “hyper-scale” data centers will make it cheap and ubiquitous. But none of that is it getting exponentially more intelligent.
This is dangerously naive and misguided. They claim to want to avoid centralization of control but propose a world police state of AI regulation. Governments exerting this much control will only end in war and tyranny.
If carbon taxes are already a lethal policy for an political campaign, it's absurd to think that fears of ASI will create any real movement around pausing AI.
If there is any movement to pause AI development, it will come from the general public's dislike of these companies. Not from the AI safety angle.
If that is true and one cares about a moratorium on progress in the US then it seems like the number one way is to meet people where they are: so water use misinformation, degrowth, power supply constraints. That does place all the people who push for these things in a different light. They may well be attempting to do what the AI safety labs are ostensibly trying to do.
As an AI safetyist, one’s closest ally (in a distributed coordinated way) is the populist misinformer. Fascinating.
If there's going to be any pause, I'm sure it will come from a populist movement. I just can't imagine misplaced worries about AI water use will translate into the kinds of policy the authors want to see.
Yeah it’s like shoving the top of a double pendulum. You will get some movement in one direction, but where it will precisely land is hard to predict. The water-use argument is already earning refinement by differentiating “AI datacenters” from “normal datacenters” in an effort to control the movement.
I imagine any populism movement will require rampant fearmongering to get a result. Considering the rough present alignments, presumably blue tribe focused propaganda will involve climate and inequality focused fear and red tribe focused propaganda will involve job loss. Grey tribe positioning is the P(doom) meme where everyone is rewarded for a high-P(doom) estimate.
This is whole a slippery slope. Always building on assumption of infinite exponential growth. But every exponential is at a certain point a sigmoid.
> Then, in the mid-2030s, they pause at AIs around the level of top human geniuses.
They being the US and China and by agreement.
It would be ideal, but there’s far too much money on the table to overcome human nature.
So my hope is we hit some kind of limits naturally.. Wishful thinking?
Why did Scott Alexander (one of the authors of the original AI 2027 paper) not join/contribute to this one?
Hey, author here! Scott did contribute, but less than before.
On his blog he says: "I did a lot of writing for AI 2027 and was listed as a co-author. Some of my writing made it into Plan A too, but it was a bit less. The difference is of degree rather than kind, but because of this - and to give me more latitude to discuss it the way I like with less PR blowback - we decided not to put me as a co-author this time. I continue to be proud of having a part in this, small as it may be. (related: everything in this post is my opinion only, and not officially endorsed by the AI Futures Project)"
People overestimate progress in physical world. 2035: robot population will soon be larger than the human one
I'd bet that in most places 9 years is about the time needed to build a residential building. I think a good way to think about this is to think of this as producing a serial car. From pitching and capital acquisition to building a prototype to software, regulatory and then the final product which needs multiple factories and supply chains. Yes, of course robots sound cooler and there are compounding effects yada yada, but on the other side there are as many obstacles as things that accelerate this product (like capital acquisition and fearmongering of gov to bend regulatory stuff faster).
I mean, what is a robot? If you add up all the vacuum cleaners, 3d printers, and dishwashers, that’s probably close or more than the human population.
I wonder if they are double-counting Anthropic's leased capacity from SpaceX under SpaceX again.
More wild speculation, now with wishful thinking spread on top.
Kind of feels like fusion power at this point, always just around the corner.
Associated post: Introducing Plan A
https://www.astralcodexten.com/p/introducing-plan-a