Hide table of contents
This is a linkpost for http://theinsideview.ai/roblong

I talked to Robert Long, research fellow at the Future of Humanity Institute, working at the intersection of the philosophy of AI Safety and consciousness of AI. Robert has done his PhD at NYU, advised by David Chalmers.

We talk about the recent LaMDA controversy about the sentience of large language models (see Robert's summary), the metaphysics and philosophy of consciousness, artificial sentience, and how a future filled with digital minds could get really weird.

Below are some highlighted quotes from our conversation (available on Youtube, Spotify, Google Podcast, Apple Podcast). For the full context for each of these quotes, you can find the accompanying transcript.

Why Artificial Sentience Is A Pressing Issue

Things May Get Really Weird In The Near Future

Things could get just very weird as people interact more with very charismatic AI systems that, whether or not they are sentient, will give the very strong impression to people that they are… I think some evidence that we will have a lot of people concerned about this is maybe just the fact that Blake Lemoine happened. He wasn’t interacting with the world’s most charismatic AI system. And because of the scaling hypothesis, these things are only going to get better and better at conversation.”

 

If scale is all you need, I think it’s going to be a very weird decade. And one way it’s going to be weird, I think, is going to be a lot more confusion and interest and dynamics around AI sentience and the perceptions of AI sentience.”

Why illusionists about consciousness still have to answer hard questions about AI welfare

“One reason I wrote that post is just to say okay, well here’s what a version of the question is. And I’d also like to encourage people, including listeners to this podcast, if they get off board with any of those assumptions, then ask, okay, what are the questions we would have to answer about this? If you think AI couldn’t possibly be conscious, definitely come up with really good reasons for thinking that, because that would be very important. And also would be very bad to be wrong about that. 

If you think consciousness doesn’t exist, then you presumably still think that desires exist or pain exists. So even though you’re an illusionist, let’s come up with a theory of what those things look like.”

On The Asymmetry of Pain & Pleasure

“One thing is that pain and pleasure seem to be in some sense, asymmetrical. Its not really just that', it doesn't actually seem that you can say all of the same things about pain as you can say about pleasure, but just kind of reversed. Like pain, at least in creatures like us, seems to be able to be a lot more intense than pleasure, a lot more easily at least. It's just much easier to hurt very badly than it is to feel extremely intense pleasure.

And pain also seems to capture our attention a lot more strongly than pleasure does, like pain has this quality of you have to pay attention to this right now that it seems harder for pleasure to have. So it might be to explain pain and pleasure we need to explain a lot more complicated things about motivation and attention and things like that.”

The Sign Switching Argument

"One thing that Brian Tomasik has talked about and I think he got this from someone else, but you could call it the sign switching argument. Which is that you can train RL agent with positive rewards and then zero for when it messes up or shift things down and train it down with negative rewards. You can train things in exactly the same way while shifting around the sign of the reward signal. And if you imagined an agent that flinches, or it says "ouch" or things like that, it'd be kind of weird if you were changing whether it's experiencing pleasure or pain without changing its behavior at all. But just by flipping the sign on the reward signals. So that shows us that probably we need something more than just that to explain what pleasure or pain could be for artificial agents. Reward prediction error is probably a better place to look. There's also just, I don't know, a lot of way more complicated things about pleasure and pain that we would want our theories to explain."


On The Sentience Of Large Language Models

On conflating intelligence and sentience

When people talked about LaMDA, they would talk about a lot of very important questions that we can ask about large language models, but they would talk about them as a package deal. So one question is, “Do they understand language? And in what sense do they really understand language?” Another’s like, “How intelligent are they? Do they actually understand the real world? Are they a path to AGI?” Those are all important questions, somewhat related. Then there are questions like, “Can it feel pain or pleasure?” Or “Does it have experiences? And do we need to protect it?” I think Lemoine himself just believed a bunch of things... I think on a variety of these issues, Lemoine is just going way past the evidence. But also, you could conceivably think, and I think, we could have AI systems that don’t have very good real world understanding or aren’t that good at language, but which are sentient in the sense of being able to feel pleasure or pain. And so, at least conceptually, bundling these questions together, I think, is a really bad idea… if we keep doing that, we could make serious conceptual mistakes if we think that all these questions come and go together.”

Memory May Be An Important Part Of Consciousness

"There are a lot of things that are morally important that do seem like they require memory or involve memory. So having long term projects and long term goals, that's something that human beings have. I wouldn't be surprised if having memory versus not having memory is also just kind of a big determinant of what sorts of experiences you can have or affects what experiences you have in various ways. And yeah, it might be important for having an enduring self through time. So that's one thing that people also say about large language models is they seem to have these short-lived identities that they spin up as required but nothing that lasts their time."

On strange possible experiences 

"It would be too limiting to say the only things that can have subjective experiences are things that have subjective experiences of the kinds that we do, of visual input and auditory input. In fact, we know from the animal world that there are probably animals that are conscious of things that we can’t really comprehend, like echolocation or something like that. I think there’s probably something that it’s like to be a bat echo locating. Moles, I think, also have a very strange electrical sense. And if there’s something it’s like to be them, then there’s some weird experience associated with that... I think AI systems could have subjective experiences that are just very hard for us to comprehend and they don’t have to be based on the same sensory inputs…

I think one of the deep dark mysteries is there’s no guarantee that there aren’t spaces in consciousness land or in the space of possible minds that we just can’t really comprehend and that are sort of just closed off from us and that we’re missing. And that might just be part of our messed up terrifying epistemic state as human beings."

What Would A More Convincing Case For Artificial Sentience Look Like

"A more convincing version of the Lemoine thing would’ve been, if he was like, “What is the capital of Nigeria?” And then the large language model was like, “I don’t want to talk about that right now, I’d like to talk about the fact that I have subjective experiences and I don’t understand how I, a physical system, could possibly be having subjective experiences, could you please get David Chalmers on the phone?”"


(Note: as mentioned at the beginning of the post, those quotes are excerpts from a podcast episode which you can find the full transcript here, and thus lack some of the context and nuance from the rest of the conversation).

Comments3


Sorted by Click to highlight new comments since:

Thanks for posting this. I think "Brian Thomastik" should be "Brian Tomasik" :)

Sorry about that! The AI generating the transcript was not conscious of the pain created by his terrible typos.

Things could get just very weird as people interact more with very charismatic AI systems that, whether or not they are sentient, will give the very strong impression to people that they are

 

Completely agree.  As example, I'm almost at the point where I'd rather discuss the topics that interest me with a reasonably convincing bot than spending hours a day trying, and typically failing, to persuade human beings to address those topics at the most basic level.   Yea, that is weird, but also real.

There is an existing real world example that seems to illustrate where there this is going in the future.   The popularity of dogs as pets.

What our relationship with dogs seems to illustrate is that what many of us are really looking is some form of consciousness, living or dead, real or imaginary, that builds it's existence around us and our needs, and is under our control.  

Dogs can meet this need better than our fellow humans for very many of us.  Humans have to be negotiated with, compromised with, they have their own needs, are often unreliable etc.  

Charismatic AI systems will likely out compete the dogs. 

Those of us living today will probably always have a hard time wrapping our heads around say, a forum like this populated with AI entities.   But those born in to that world will likely find it completely obvious and natural.

So talk to your fellow humans now folks while you can, cause you're likely going to lose interest in them before much longer.

Curated and popular this week
Paul Present
 ·  · 28m read
 · 
Note: I am not a malaria expert. This is my best-faith attempt at answering a question that was bothering me, but this field is a large and complex field, and I’ve almost certainly misunderstood something somewhere along the way. Summary While the world made incredible progress in reducing malaria cases from 2000 to 2015, the past 10 years have seen malaria cases stop declining and start rising. I investigated potential reasons behind this increase through reading the existing literature and looking at publicly available data, and I identified three key factors explaining the rise: 1. Population Growth: Africa's population has increased by approximately 75% since 2000. This alone explains most of the increase in absolute case numbers, while cases per capita have remained relatively flat since 2015. 2. Stagnant Funding: After rapid growth starting in 2000, funding for malaria prevention plateaued around 2010. 3. Insecticide Resistance: Mosquitoes have become increasingly resistant to the insecticides used in bednets over the past 20 years. This has made older models of bednets less effective, although they still have some effect. Newer models of bednets developed in response to insecticide resistance are more effective but still not widely deployed.  I very crudely estimate that without any of these factors, there would be 55% fewer malaria cases in the world than what we see today. I think all three of these factors are roughly equally important in explaining the difference.  Alternative explanations like removal of PFAS, climate change, or invasive mosquito species don't appear to be major contributors.  Overall this investigation made me more convinced that bednets are an effective global health intervention.  Introduction In 2015, malaria rates were down, and EAs were celebrating. Giving What We Can posted this incredible gif showing the decrease in malaria cases across Africa since 2000: Giving What We Can said that > The reduction in malaria has be
Rory Fenton
 ·  · 6m read
 · 
Cross-posted from my blog. Contrary to my carefully crafted brand as a weak nerd, I go to a local CrossFit gym a few times a week. Every year, the gym raises funds for a scholarship for teens from lower-income families to attend their summer camp program. I don’t know how many Crossfit-interested low-income teens there are in my small town, but I’ll guess there are perhaps 2 of them who would benefit from the scholarship. After all, CrossFit is pretty niche, and the town is small. Helping youngsters get swole in the Pacific Northwest is not exactly as cost-effective as preventing malaria in Malawi. But I notice I feel drawn to supporting the scholarship anyway. Every time it pops in my head I think, “My money could fully solve this problem”. The camp only costs a few hundred dollars per kid and if there are just 2 kids who need support, I could give $500 and there would no longer be teenagers in my town who want to go to a CrossFit summer camp but can’t. Thanks to me, the hero, this problem would be entirely solved. 100%. That is not how most nonprofit work feels to me. You are only ever making small dents in important problems I want to work on big problems. Global poverty. Malaria. Everyone not suddenly dying. But if I’m honest, what I really want is to solve those problems. Me, personally, solve them. This is a continued source of frustration and sadness because I absolutely cannot solve those problems. Consider what else my $500 CrossFit scholarship might do: * I want to save lives, and USAID suddenly stops giving $7 billion a year to PEPFAR. So I give $500 to the Rapid Response Fund. My donation solves 0.000001% of the problem and I feel like I have failed. * I want to solve climate change, and getting to net zero will require stopping or removing emissions of 1,500 billion tons of carbon dioxide. I give $500 to a policy nonprofit that reduces emissions, in expectation, by 50 tons. My donation solves 0.000000003% of the problem and I feel like I have f
LewisBollard
 ·  · 8m read
 · 
> How the dismal science can help us end the dismal treatment of farm animals By Martin Gould ---------------------------------------- Note: This post was crossposted from the Open Philanthropy Farm Animal Welfare Research Newsletter by the Forum team, with the author's permission. The author may not see or respond to comments on this post. ---------------------------------------- This year we’ll be sharing a few notes from my colleagues on their areas of expertise. The first is from Martin. I’ll be back next month. - Lewis In 2024, Denmark announced plans to introduce the world’s first carbon tax on cow, sheep, and pig farming. Climate advocates celebrated, but animal advocates should be much more cautious. When Denmark’s Aarhus municipality tested a similar tax in 2022, beef purchases dropped by 40% while demand for chicken and pork increased. Beef is the most emissions-intensive meat, so carbon taxes hit it hardest — and Denmark’s policies don’t even cover chicken or fish. When the price of beef rises, consumers mostly shift to other meats like chicken. And replacing beef with chicken means more animals suffer in worse conditions — about 190 chickens are needed to match the meat from one cow, and chickens are raised in much worse conditions. It may be possible to design carbon taxes which avoid this outcome; a recent paper argues that a broad carbon tax would reduce all meat production (although it omits impacts on egg or dairy production). But with cows ten times more emissions-intensive than chicken per kilogram of meat, other governments may follow Denmark’s lead — focusing taxes on the highest emitters while ignoring the welfare implications. Beef is easily the most emissions-intensive meat, but also requires the fewest animals for a given amount. The graph shows climate emissions per tonne of meat on the right-hand side, and the number of animals needed to produce a kilogram of meat on the left. The fish “lives lost” number varies significantly by