There's a lot that I like in this essay - the basic cases for AI consciousness, AI suffering and slavery, in particular - but also a lot that I think needs to be amended.
First, although you hedge your bets at various points, the uncertainty about the premises and validity of the arguments is not reflected in the conclusion. The main conclusion that should be taken from the observations you present is that we're can't be sure that AI does not suffer, that there's a lot of uncertainty about basic facts of critical moral importance, and a lot of similarities ...
Since infantile death rates were much higher in previous centuries, perhaps the FBOE would operate differently back then; for example, if interacting with older brothers makes you homosexual, you shouldn't expect higher rates of homosexuality for third sons where the second son died as an infant than for second sons.
Have you taken that into account? Do you have records of who survived to 20yo and what happens if you only count those?
But that argument would have worked the same way 50 years ago, when we were wrong to expect <50% chance of AGI in at least 50 years. Like I feel for LLMs, early computer work solved things that could be considered high-difficulty blockers such as proving a mathematical theorem.
Nice that someone has a database on the topic, but I don't see the point in this being a map?
I think what's going on is that large language models are trained to "sound smart" in a live conversation with users, and so they prefer to highlight possible problems instead of confirming that the code looks fine, just like human beings do when they want to sound smart.
This matches my experience, but I'd be interested in seeing proper evals of this specific point!
The advice in there sounds very conducive to a productive environment, but also very toxic. Definitely an interesting read, but I wouldn't model my own workflow based on this.
Honeypots should not be public and mentioned here since this post will potentially be part of a rogue AI's training data.
But it's helpful for people interested in this topic to look at existing honeypots (to learn how to make their own, evaluate effectiveness, get intuitions about honeypots work, etc.) so what you should do is mention that you made a honeypot or know of one, but not say what or where. Interested people can contact you privately if they care to.
Thank you very much, this was very useful to me.
...Do you know what it feels like to feel pain? Then congratulations, you know what it feels like to have qualia. Pain is a qualia. It's that simple. If I told you that I was going to put you in intense pain for an hour, but I assured you there would be no physical damage or injury to you whatsoever, you would still be very much not ok with that. You would want to avoid that experience. Why? Because pain hurts! You're not afraid of the fact that you're going to have an "internal representation" of pain, nor are
For making an AI Safety video, we at the CeSIA also have had some success at it and we'd be happy to help by providing technical expertise, proofreading and translation in French.
Other channels you could reach out to:
The first thing that comes to mind is to beg the question of what proportion of human-generated papers are publishing-worthier (since a lot of them are slop), but let's not forget that publication matters little for catastrophic risk, it's actually getting results that would be important.
So I recommend not updating at all on AI risk based on Sakana's results (or updating negatively if you expected that R&D automation would come faster, or that this might slow down human augmentation).
In that case, per my other comment, I think it's much more likely that superbabies concern only a small fraction of the population and exacerbates inequality without bringing the massive benefits that a generally more capable population would.
Do you think superbabies would be put to work on alignment in a way that makes a difference due to geniuses driving the field? I'm having trouble understanding how concretely you think superbabies can lead to significantly improved chance of helping alignment.
I'm having trouble understanding your ToC in a future influenced by AI. What's the point of investigating this if it takes 20 years to become significant?
I'm surprised to see no one in the comments whose reaction is "KILL IT WITH FIRE", so I'll be that guy and make a case why this research should be stopped rather than pursued:
On the one hand, there is obviously enormous untapped potential in this technology. I don't have issues about the natural order of life or some WW2 eugenics trauma. From my (unfamiliar with the subject) eyes, you propose a credible way to make everyone healthier, smarter, happier, at low cost and within a generation, which is hard to argue against.
On the other hand, you spend no time ...
There are three traders on this market; it means nothing at the moment. No need for virtue signalling to explain a result you might perceive as abnormal, it's just not formed yet.
Thanks for writing this! I was unaware of the Chinese investment, which explains another recent information which you did not include but I think is significant: Nvidia's stock plummeted 18% today.
Five minutes of thought on how this could be used for capabilities:
- Use behavioral self-awareness to improve training data (e.g. training on this dataset increases self-awareness of code insecurity, so it probably contains insecure code that can be fixed before training on it).
- Self-critique for iterative improvement within a scaffolding (already exists, but this work validates the underlying principles and may provide further grounding).
It sure feels like behavioral self-awareness should work just as well for self capability assessments as for safety to...
(If you take time to think about this, feel free to pause reading and write your best solution in the comments!)
How about:
- Allocating energy everywhere to either twitching randomly or collecting nutrients. Assuming you are propelled by the twitching, this follows the gradient if there's one.
- Try to grow in all directions. If there are no outside nutrients to fuel this growth, consume yourself. In this manner, regenerate yourself in the direction of the gradient.
- Try to grab nutrients from all directions. If there are nutrients, by reaction you will be p...
Contra 2:
ASI might provide a strategic advantage of a kind which doesn't negatively impact the losers of the race, e.g. it increases GDP by x10 and locks competitors out of having an ASI.
Then, losing control of the ASI could [not being able of] posing an existential risk to the US.
I think it's quite likely this is what some policymakers have in mind: some sort of innovation which will make everything better for the country by providing a lot cheap labor and generally improving productivity, the way we see AI applications do right now but on a bigger scale....
From the disagreement between the two of you, I infer there is yet debate as to what environmentalism means. The only way to be a true environmentalist then is to make things as reversible as possible until such time as an ASI can explain what the environmentalist course of action regarding the Sun should be.
The paradox arises because the action-optimal formula mixes world states and belief states.
The [action-planning] formula essentially starts by summing up the contributions of the individual nodes as if you were an "outside" observer that knows where you are, but then calculates the probabilities at the nodes as if you were an absent-minded "inside" observer that merely believes to be there (to a degree).
So the probabilities you're summing up are apples and oranges, so no wonder the result doesn't make any sense. As stated, the formula for actio...
Having read Planecrash, I do not think there is anything in this review that I would not have wanted to know before reading the work (which is the important part of what people consider "spoilers" for me).
Top of the head like when I'm trying to frown too hard
distraction had no effect on identifying true propositions (55% success for uninterrupted presentations, vs. 58% when interrupted); but did affect identifying false propositions (55% success when uninterrupted, vs. 35% when interrupted)
If you are confused by these numbers (why so close to 50%? Why below 50%) it's because participants could pick four options (corresponding to true, false, don't know and never seen).
You can read the study, search for keyword "The Identification Test".
Yes, that's the first thing that was talked about in my group's discussion on longtermism. For the sake of the argument, we were asked to assume that the waste processing/burial choice amounted to a trade in lives all things considered... but the fact that any realistic scenario resembling this thought experiment would not be framed like that is the central part of my first counterargument.
I enjoy reading any kind of cogent fiction on LW, but this one is a bit too undeveloped for my tastes. Perhaps be more explicit about what Myrkina sees in the discussion which relates to our world?
You don't have to always spell earth-shattering revelations out loud (in fact it's best to let the readers reach the correct conclusion by themselves imo), but there needs to be enough narrative tension to make the conclusion inevitable; as it stands, it feels like I can just meh my way out of thinking more than 30s on what the revelation might be, the same way Tralith does.
Thanks, it does clarify, both on separating the instantiation of an empathy mechanism in the human brain vs in AI and on considering instantiation separately from the (evolutionary or training) process that leads to it.
I was under the impression that empathy explained by evolutionary psychology as a result of the need to cooperate with the fact that we already had all the apparatus to simulate other people (like Jan Kulveit's first proposition).
(This does not translate to machine empathy as far as I can tell.)
I notice that this impression is justified by basically nothing besides "everything is evolutionary psychology". Seeing that other people's intuitions about the topic are completely different is humbling; I guess emotions are not obvious.
So, I would appreciate if yo...
I do not find this post reassuring about your approach.
I agree with the broad idea, but I'm going to need a better implementation.
In particular, the 5 criteria you give are insufficient because the example you give scores well on them, and is still atrocious: if we decreed that "black people" was unacceptable and should be replaced by "black peoples", it would cause a lot of confusion on account of how similar the two terms are and how ineffective the change is.
The cascade happens because of a specific reason, and the change aims at resolving that reason. For example, "Jap" is used as a slur, and not saying it...
A lot of your AI-risk reason to support Harris seems to hinge on this, which I find very shaky. How wide are your confidence intervals here?
My own guesses are much more fuzzy. According to your argument, if my intuition was .2 vs .5, then it's an overwhelming case for Harris but I'm unfamiliar enough with the topic that it cou...
Seems like you need to go beyond arguments of authority and stating your conclusions and instead go down to the object-level disagreements. You could say instead "Your argument for ~X is invalid because blah blah" and if Jacob says "Your argument for the invalidity of my argument for ~X is invalid because blah blah" then it's better than before because it's easier to evaluate argument validity than ground truth.
(And if that process continues ad infinitam, consider that someone who cannot evaluate the validity of the simplest arguments is not worth arguing with.)
It's thought-provoking.
Many people here identify as Bayesians, but are as confused as Saundra by the troll's questions, which indicates that they're missing something important.
It wasn't mine. I did grow up in a religious family, but becoming a rationalist came gradually, without sharp divide with my social network. I always figured people around me were making all sorts of logical mistakes though, and noticed very early deep flaws in what I was taught.
It's not. The paper is hype, the authors don't actually show that this could replace MLPs.
This is very interesting!
I did not expect that Chinese would be more optimistic about benefits than worried about risks and that they would rank it so low as an existential risk.
This is in contrast with posts I see on social media and articles showcasing safety institutes and discussing doomer opinions, which gave me the impression that Chinese academia was generally more concerned about AI risk and especially existential risk than the US.
I'm not sure how to reconcile this survey's results with my previous model. Was I just wrong and updating too much on anecdotal evidence?
How representative of policymakers and of influential scientists do you think these results are?
About the Christians around me: it is not explicitly considered rude, but it is a signal that you want to challenge their worldview, and if you are going to predictably ask that kind of question often, you won't be welcome in open discussions.
(You could do it once or twice for anecdotal evidence, but if you actually want to know whether many Christians believe in a literal snake, you'll have to do a survey.)
I disagree – I think that no such perturbations exist in general, rather than that we have simply not had any luck finding them.
I have seen one such perturbation. It was two images of two people, one which was clearly male and the other female, though I wasn't be able to tell any significant difference between the two images on 15s of trying to find one except for a slight difference in hue.
Unfortunately, I can't find this example again on a 10mn search. It was shared on Discord; the people in the image were white and freckled. I'll save it if I find it again.
https://x.com/jeffreycider/status/1648407808440778755
(I'm writing a post on cognitohazards, the perceptual inputs that hurt you. So, i have this post conveniently referenced in my draft lol)
The pyramids and Mexico and the pyramids in Egypt are related via architectural constraints and human psychology.
In practice, when people say "one in a million" in that kind of context, it's much higher than that. I haven't watched Dumb and Dumber, but I'd be surprised if Lloyd did not, actually, have a decent chance of ending together with Mary.
On one hand, we claim [dumb stuff using made up impossible numbers](https://www.lesswrong.com/posts/GrtbTAPfkJa4D6jjH/confidence-levels-inside-and-outside-an-argument) and on the other hand, we dismiss those numbers and fall back on there's-a-chancism.
These two phenomena don't always perfectly compensate one another (as examples show in both posts), but common sense is more reliable that it may seem at first. (I'm not saying it's the correct approach nonetheless.)
Epistemic status: amateur, personal intuitions.
If this were the case, it makes sense to hold dogs (rather than their owners, or their breeding) responsible for aggressive or violent behaviour.
I'd consider whether punishing the dog would make the world better, or whether changing the system that led to its breeding, or providing incentives to the owner or any combination of other actions would be most effective.
Consequentialism is about considering the consequences of actions to judge them, but various people might wield this in various ways.
Implicitl...
I can imagine plausible mechanisms for how the first four backlash examples were a consequence of perceived power-seeking from AI safetyists, but I don't see one for e/acc. Does someone have one?
Alternatively, what reason do I have to expect that there is a causal relationship between safetyist power-seeking and e/acc even if I can't see one?
e/acc has coalesced in defense of open-source, partly in response to AI safety attacks on open-source. This may well lead directly to a strongly anti-AI-regulation Trump White House, since there are significant links between e/acc and MAGA.
I think of this as a massive own goal for AI safety, caused by focusing too much on trying to get short-term "wins" (e.g. dunking on open-source people) that don't actually matter in the long term.
That's not interesting to read unless you say what your reasons are and they differ from other critics'. Perhaps not say it all in a comment, but at least a link to a post.
Interestingly, I think that one of the examples of proving too much on Wikipedia can itself be demolished by a proving too much argument, but I’m not going to say which one it is because I want to see if other people independently come to the same conclusion.
For those interested in the puzzle, here is the page Scott was linking to at the time: https://en.wikipedia.org/w/index.php?title=Proving_too_much&oldid=542064614
The article was edited a few hours later, and subsequent conversation showed that Wikipedia editors came to the conclusion Scott hinted a...
Another way to avoid the mistake is to notice that the implication is false, regardless of the premises.
In practice, people's beliefs are not deductively closed, and (in the context of a natural language argument) we treat propositional formulas as tools for computing truths rather than timeless statements.
it can double as a method for creating jelly donuts on demand
For those reading this years later, here's the comic that shows how to make ontologically necessary donuts.
I'd appreciate examples of the sticker shortcut fallacy with in-depth analysis of why they're wrong and how the information should have been communicated instead.
My experience interacting with Chinese people is that they have to constantly mind the censorship in a way that I would find abhorrent and mentally taxing if I had to live in their system. Though given there are many benefits to living in China (mostly quality of life and personal safety), I'm unconvinced that I prefer my own government all things considered.
But for the purpose of developing AGI, there's a lot more variance in possible outcomes (higher likelihood of S-risk and benevolent singleton) from the CCP getting a lead rather than the US.