What does this post add to the conversation?

Two pictures of elephant seals.

How did this post affect you, your thinking, and your actions?

I am, if not deeply, but certainly affected by this post. I felt some kind of joy looking at these animals. It calmed my anger and made my thoughts somewhat happier. I started to believe the world can become a better place, and I would like to make it happen. This post made me a better person.

Does it make accurate claims? Does it carve reality at the joints? How do you know?

The title says elephant seals 2 and c... (read more)

Zack's series of posts in late 2020/early 2021 were really important to me. They were a sort of return to form for LessWrong, focusing on the valuable parts.

What are the parts of The Sequences which are still valuable? Mainly, the parts that build on top of Korzybski's General Semantics and focus hard core on map-territory distinctions. This part is timeless and a large part of the value that you could get by (re)reading The Sequences today. Yudkowsky's credulity about results from the social sciences and his mind projection fallacying his own mental quirk... (read more)

I read this post for the first time in 2022, and I came back to it at least twice. 

What I found helpful

• The proposed solution: I actually do come back to the “honor” frame sometimes. I have little Rob Bensinger and Anna Salamon shoulder models that remind me to act with integrity and honor. And these shoulder models are especially helpful when I’m noticing (unhelpful) concerns about social status.
• A crisp and community-endorsed statement of the problem: It was nice to be like “oh yeah, this thing I’m experiencing is that thing that Anna Salamon calls PR

I continue to believe that the Grabby Aliens model rests on an extremely sketchy foundation, namely the anthropic assumption “humanity is randomly-selected out of all intelligent civilizations in the past present and future”.

For one thing, given that the Grabby Aliens model does not weight civilizations by their populations, it follows that, if the Grabby Aliens model is right, then all the “popular” anthropic priors like SIA and SSA and UDASSA and so on are all wrong, IIUC.

For another (related) thing, in order to believe the Grabby Aliens model, we need t... (read more)

A Cached Belief

I find this Wired article an important exploration of an enormous wrong cached belief in the medical establishment: namely that based on its size, Covid would be transmitted exclusively via droplets (which quickly fall to the ground), rather than aerosols (which hang in the air). This justified a bunch of extremely costly Covid policy decisions and recommendations: like the endless exhortations to disinfect everything and to wash hands all the time. Or the misguided attempt to protect people from Covid by closing public parks and playgrounds... (read more)

• Oh man, what an interesting time to be writing this review!
• I've now written second drafts of an entire sequence that more or less begins with an abridged (or re-written?) version of "Catching the Spark". The provisional title of the sequence is "Nuts and Bolts Of Naturalism".  (I'm still at least a month and probably more from beginning to publish the sequence, though.) This is the post in the sequence that's given me the most trouble; I've spent a lot of the past week trying to figure out where I stand with it.
• I think if I just had to answer "yes" or

Uncharitable Summary

Most likely there’s something in the intuitions which got lost when transmitted to me via reading this text, but the mathematics itself seems pretty tautological to me (nevertheless I found it interesting since tautologies can have interesting structure! The proof itself was not trivial to me!). 

Here is my uncharitable summary:

Assume you have a Markov chain M_0 → M_1 → M_2 → … → M_n → … of variables in the universe. Assume you know M_n and want to predict M_0. The Telephone theorem says two things:

• You don’t need to keep a

I remain pretty happy with most of this, looking back -- I think this remains clear, accessible, and about as truthful as possible without getting too technical.

I do want to grade my conclusions / predictions, though.

(1). I predicted that this work would quickly be exceeded in sample efficiency. This was wrong -- it's been a bit over a year and EfficientZero is still SOTA on Atari. My 3-to-24-month timeframe hasn't run out, but I said that I expected "at least a 25% gain" towards the start of the time, which hasn't happened.

(2). There has been a shift to... (read more)

This is a negative review of an admittedly highly-rated post.

The positives first; I think this post is highly reasonable and well written. I'm glad that it exists and think it contributes to the intellectual conversation in rationality. The examples help the reader reason better, and it contains many pieces of advice that I endorse.

But overall, 1) I ultimately disagree with its main point, and 2) it's way too strong/absolutist about it.

Throughout my life of attempting to have true beliefs and take effective actions, I have quite strongly learned some disti... (read more)

ELK was one of my first exposures to AI safety. I participated in the ELK contest shortly after moving to Berkeley to learn more about longtermism and AI safety. My review focuses on ELK’s impact on me, as well as my impressions of how ELK affected the Berkeley AIS community.

Things about ELK that I benefited from

Understanding ARC’s research methodology & the builder-breaker format. For me, most of the value of ELK came from seeing ELK’s builder-breaker research methodology in action. Much of the report focuses on presenting training strategies and pres... (read more)

I really like this post. It's a crisp, useful insight, made via a memorable concrete example (plus a few others), in a very efficient way. And it has stayed with me. 

I still think this is basically correct, and have raised my estimation of how important it is in x-risk in particular.  The emphasis on doing The Most Important Thing and Making Large Bets push people against leaving slack, which I think leads to high value but irregular opportunities for gains being ignored.

Epistemic Status

I am an aspiring selection theorist and I have thoughts.

Why Selection Theorems?

Learning about selection theorems was very exciting. It's one of those concepts that felt so obviously right. A missing component in my alignment ontology that just clicked and made everything stronger.

Selection Theorems as a Compelling Agent Foundations Paradigm

There are many reasons to be sympathetic to agent foundations style safety research as it most directly engages the hard problems/core confusions of alignment/safety. However, one concer... (read more)

I suppose, with one day left to review 2021 posts, I can add my 2¢ to my own here.

Overall I still like this post. I still think it points at true things and says them pretty well.

I had intended it as a kind of guide or instruction manual for anyone who felt inspired to create a truly potent rationality dojo. I'm a bit saddened that, to the best of my knowledge, no one seems to have taken what I named here and made it their own enough to build a Beisutsu dojo. I would really have liked to see that.

But this post wasn't meant to persuade anyone to do it. It w... (read more)

If you judge your social media usage by whether the average post you read is good or bad, you are missing half of the picture. The rapid context switching incurs an invisible cost even if the interaction itself is positive, as does the fact that you expect to be interrupted. "[T]he knowledge that interruptions could come at every time will change your mental state", as Elizabeth puts it.

This is the main object-level message of this post, and I don't have any qualms with it. It's very similar to what Sam Harris talks about a lot (e.g., here), and it seems t... (read more)

This gave a satisfying "click" of how the Simulacra and Staghunt concepts fit together. 

Things I would consider changing:

1. Lion Parable. In the comments, John expands on this post with a parable about lion-hunters who believe in "magical protection against lions." That parable is actually what I normally think of when I think of this post, and I was sad to learn it wasn't actually in the post. I'd add it in, maybe as the opening example.

2. Do we actually need the word "simulacrum 3"? Something on my mind since last year's review is "how much work are... (read more)

Alexandros Marinos (LW profile) has a long series where he reviewed Scott's post:

The Potemkin argument is my public peer review of Scott Alexander’s essay on ivermectin. In this series of posts, I go through that essay in detail, working through the various claims made and examining their validity. My essays will follow the structure of Scott’s essay, structured in four primary units, with additional material to follow

 This is his summary of the series, and this is the index. Here's the main part of the index:

Introduction

Part 1: Introduction (TBC)

Part

I remember reading this post and thinking it is very good and important. I have since pretty much forgot about it and it's insights, probably because I didn't think much about GDPs anyway. Rereading the post, I maintain that it is very good and important. Any discussion of GDP should be with the understanding of what this post says, which I summarized to myself like so (It's mostly a combination of edited excerpts from the post):

Real GDP is usually calculated by adding up the total dollar value of all goods, using prices from some recent year (every few ye

The first elephant seal barely didn't make it into the book, but this is our last chance. Will the future readers of LessWrong remember the glory of elephant seal?

Most of the writing on simulacrum levels have left me feeling less able to reason about them, that they are too evil to contemplate. This post engaged with them as one fact in the world among many, which was already an improvement. I've found myself referring to this idea several times over the last two years, and it left me more alert to looking for other explanations in this class. 

Thermodynamics is the deep theory behind steam engine design (and many other things) -- it doesn't tell you how to build a steam engine, but to design a good one you probably need to draw on it somewhat.

This post feels like a gesture at a deep theory behind truth-oriented forum / community design (and many other things) -- it certainly doesn't help tell you how to build one, but you have to think at least around what it talks about to design a good one. Also applicable to many other things, of course.

It also has virtue of being very short. Per-word one of my favorite posts.

I read this sequence and then went through the whole thing.  Without this sequence I'd probably still be procrastinating / putting it off.  I think everything else I could write in review is less important than how directly this impacted me.

Still, a review: (of the whole sequence, not just this post)

First off, it signposts well what it is and who it's for.  I really appreciate when posts do that, and this clearly gives the top level focus and whats in/out.

This sequence is "How to do a thing" - a pretty big thing, with a lot of steps and bran... (read more)

I and some others on Lightcone team have continued to use this exercise from time to time. Jacob Lagerros got really into it, and would ask us to taboo 'should' whenever someone made a vague claim about what we should do. In all honesty this was pretty annoying. :P 

But, it highlighted another use of tabooing 'should', which is checking what assumptions are shared between people. (i.e. John's post is mostly seems to be addressing "single player mode", where you notice your own shoulds and what ignorance that conceals. But sometimes, Alice totally under... (read more)

I'm not sure I use this particular price mechanism fairly often, but I think this post was involved in me moving toward often figuring out fair prices for things between friends and allies, which I think helps a lot. The post puts together lots of the relevant intuitions, which is what's so helpful about it. +4

Summary

I summarize this post in a slightly reverse order. In AI alignment, one core question is how to think about utility maximization. What are agents doing that maximize utility? How does embeddedness play into this? What can we prove about such agents? Which types of systems become maximizers of utility in the first place?

This article reformulates expected utility maximization in equivalent terms in the hopes that the new formulation makes answering such questions easier. Concretely, a utility function u is given, and the goal of a u-maximizer is to ch... (read more)

Reviewing this quickly because it doesn't have a review.

I've linked this post to several people in the last year. I think it's valuable for people (especially junior researchers or researchers outside of major AIS hubs) to be able to have a "practical sense" of what doing independent alignment research can be like, how the LTFF grant application process works, and some of the tradeoffs of doing this kind of work. 

This seems especially important for independent conceptual work, since this is the path that is least well-paved (relative to empirical work... (read more)

I like this post in part because of the dual nature of the conclusion, aimed at two different audiences. Focusing on the cost of implementing various coordination schemes seems... relatively unexamined on LW, I think. The list of life-lessons is intelligible, actionable, and short.

On the other hand, I think you could probably push it even further in "Secret of Our Success" tradition / culture direction. Because there's... a somewhat false claim in it: "Once upon a time, someone had to be the first person to invent each of these concepts."

This seems false ... (read more)

Epistemic Status: I don't actually know anything about machine learning or reinforcement learning and I'm just following your reasoning/explanation.

From each state, we can just check each possible action against the action-value function $q(s_t, a_t), and choose the action that returns the highest value from the action-value function. Greedy search against the action-value function for the optimal policy is thus equivalent to the optimal policy. For this reason, many algorithms try to learn the action-value function for the optimal policy.

This do... (read more)

The combination of this post, and an earlier John post (Parable of the Dammed) has given me some better language for understanding what's going on in negotiations and norm-setting, two topics that I think are quite valuable. The concept of "you could actually move the Empire State Building, maybe, and that'd affect the Schelling point of meeting places", was a useful intuition pump for both "you can move norm Schelling points around" (as well as how difficult to think of that task as).

Two years later, I suppose we know more than we did when the article was written. I would like to read some postscript explaining how well this article has aged.

Both this document and John himself have been useful resources to me as I launch into my own career studying aging in graduate school. One thing I think would have been really helpful here are more thorough citations and sourcing. It's hard to follow John's points ("In sarcopenia, one cross-section of the long muscle cell will fail first - a “ragged red” section - and then failure gradually spreads along the length.") and trace them back to any specific source, and it's also hard to know which of the synthetic insights are original to John and which are in... (read more)

Weakly positive on this one overall.  I like Coase's theory of the firm, and like making analogies with it to other things.  I don't think this application felt like it quite worked to me, and trying to write up why.

One thing is I think feels off is an incomplete understanding of the Coase paper.  What I think the article gets correct: Coase looks at the difference between markets (economists preferred efficient mechanism) and firms / corporation, and observes that transaction costs (for people these would be contracts, but in general all tr... (read more)

Summary

• public discourse of politics is too focused on meta and not enough focused on object level
• the downsides are primarily in insufficient exploration of possibility space

Definitions

• "politics" is topics related to government, especially candidates for elected positions, and policy proposals
• opposite of meta is object level - specific policies, or specific impacts of specific actions, etc
• "meta" is focused on intangibles that are an abstraction away from some object-level feature, X, e.g. someones beliefs about X, or incentives around X, or media coverage v

Self-Review

I feel pretty happy with this post in hindsight! Nothing major comes to mind that I'd want to change.

I think that agency is a really, really important concept, and one of the biggest drivers of ways my life has improved. But the notion of agency as a legible, articulated concept (rather than just an intuitive notion) is foreign to a lot of people, and jargon-y. I don't think there was previously a good post cleanly explaining the concept, and I'm very satisfied that this one exists and that I can point people to it.

I particularly like my framin... (read more)

I think this post was valuable for starting a conversation, but isn't the canonical reference post on Frame Control I'd eventually like to see in the world. But re-reading the comments here, I am struck by the wealth of great analysis and ideas in the ensuing discussion

John Wentworth's comment about Frame Independence:

The most robust defense against abuse is to foster independence in the corresponding domain. [...] The most robust defense against financial abuse is to foster financial independence [...] if I am in not independent in some domain, then I am

I was always surprised that small changes in public perception, a slight change in consumption or political opinion can have large effects. This post introduced the concept of the social behaviour curves for me, and it feels like explains quite a lot of things. The writer presents some example behaviours and movements (like why revolutions start slowly or why societal changes are sticky), and then it provides clear explanations for them using this model. Which explains how to use social behaviour curves and verifies some of the model's predictions at the s... (read more)

I liked this post, but I don't think it belongs in the review.  It's very long, it needs Zoe's also-very-long post for context, and almost everything you'll learn is about Leverage specifically, with few generalizable insights.  There are some exceptions ("What to do when society is wrong about something?" would work as a standalone post, for example), but they're mostly just interesting questions without any work toward a solution.  I think the relatively weak engagement that it got, relative to its length and quality, reflects that: Less W... (read more)

Self-Review

If you read this post, and wanted to put any of it into practice, I'd love to hear how it went! Whether you tried things and it failed, tried things and it worked, or never got round to trying anything at all. It's hard to reflect on a self-help post without data on how much it helped!

Personal reflections: I overall think this is pretty solid advice, and am very happy I wrote this post! I wrote this a year and a half ago, about an experiment I ran 4 years ago, and given all that, this holds up pretty well. I've refined my approach a fair bit, b... (read more)

My first reaction when this post came out was being mad Duncan got the credit for an idea I also had, and wrote a different post than the one I would have written if I'd realized this needed a post. But at the end of the day the post exists and my post is imaginary, and it has saved me time in conversations with other people because now they have the concept neatly labeled.

There's a scarcity of stories about how things could go wrong with AI which are not centered on the "single advanced misaligned research project" scenario. This post (and the mentioned RAAP post by Critch) helps partially fill that gap.

It definitely helped me picture / feel some of what some potential worlds look like, to the degree I currently think something like this -- albeit probably slower, as mentioned in the story -- is more likely than the misaligned research project disaster.

It also is a (1) pretty good / fun story and (2) mentions the elements within the story which the author feels are unlikely, which is virtuous and helps prevent higher detail from being mistaken for plausibility.

I was less black-pilled when I wrote this - I also had the idea that though my own attempts to learn AI safety stuff had failed spectacularly perhaps I could encourage more gifted people to try the same. And given my skills or lack thereof,  I was hoping this may be some way I could have an impact. As trying is the first filter.  Though the world looks scarier now than when I wrote this, to those of high ability I would still say this:  we are very close to a point where your genius will not be remarkable, where one can squeeze thoughts more beautiful and clear than you have any hope to achieve from a GPU. If there was ever a time to work on the actually important problems, it is surely now.  

A great example of taking the initiative and actually trying something that looks useful, even when it would be weird or frowned upon in normal society. I would like to see a post-review, but I'm not even sure if that matters. Going ahead and trying something that seems obviously useful, but weird and no one else is doing is already hard enough. This post was inspiring. 

This post very cleverly uses Conway's Game of Life as an intuition pump for reasoning about agency in general. I found it to be both compelling, and a natural extension of the other work on LW relating to agency & optimization. The post also spurred some object-level engineering work in Life, trying to find a pattern that clears away Ash. It also spurred people in the comments to think more deeply about the implications of the reversibility of the laws of physics. It's also reasonably self-contained, making it a good candidate for inclusion in the Review books.

Every few weeks I have the argument with someone that clearly AI will increase GDP drastically before it kills everyone. The arguments in this post are usually my first response. GDP doesn't mean what you think it means, and we don't actually really know how to measure economic output in the context of something like an AI takeoff, and this is important because that means you can't use GDP as a fire alarm, even in slow takeoff scenarios. 

This post has continued to be an important part of Ray's sense of How To Be a Good Citizen, and was one of the posts feeding into the Coordination Frontier sequence.

As an experiment, I'm going to start by listing the things that stuck with me, without rereading the post, and then note down things that seem important upon actual re-reading:

Things that stuck with me

• If you're going to break an agreement, let people know as early as possible.
• Try to take on as much of the cost of the renege-ing as you can.
• Insofar as you can't take on the costs of renege-ing in

Partly I just want to signal-boost this kind of message.

But I also just really like the way this post covers the topic. I didn't have words for some of these effects before, like how your goals and strategies might change even if your values stay the same.

The whole post feels like a great invitation to the topic IMO.

I didn't reread it in detail just now. I might have more thoughts were I to do so. I just want this to have a shot at inclusion in final voting. Getting unconfused about self-love is, IMO, way more important than most models people discuss on this site.

I did eventually get covid.

As was the general pattern with this whole RADVAC episode, it's ambiguous how much the vaccine helped. I caught covid in May 2022, about 15 months after the radvac doses, and about 13 months after my traditional vaccine (one shot J&J). In the intervening 15 months, my general mentality about covid was "I no longer need to give a shit"; I ate in restaurants multiple times per week, rode BART to and from the office daily, went to crowded places sometimes, traveled, and generally avoided wearing a mask insofar as that was socially acceptable.

This post is in my small list of +9s that I think count as a key part of how I think, where the post was responsible for clarifying my thinking on the subject. I've had a lingering confusion/nervousness about having extreme odds (anything beyond 100:1) but the name example shows that seeing odds ratios of 20,000,000:1 is just pretty common. I also appreciated Eliezer's corollary: "most beliefs worth having are extreme", this also influences how I think about my key beliefs.

(Haha, I just realized that I curated it back when it was published.)

I really liked this post since it took something I did intuitively and haphazardly and gave it a handle by providing the terms to start practicing it intentionally. This had at least two benefits:

First it allowed me to use this technique in a much wider set of circumstances, and to improve the voices that I already have. Identifying the phenomenon allowed it to move from a knack which showed up by luck, to a skill.

Second, it allowed me to communicate the experience more easily to others, and open the possibility for them to use it as well. Unlike many less... (read more)

It's rare that I encounter a lesswrong post that opens up a new area of human experience - especially rare for a post that doesn't present an argument or a new interpretation or schema for analysing the world.

But this one does. A simple review, with quotes, of an ethnographical study of late 19th century Russian peasants, opened up a whole new world and potentially changed my vision of the past.

Worth it from its many book extracts and choice of subject matter.

One of the posts which has been sitting in my drafts pile the longest is titled "Economic Agents Who Have No Idea What's Happening". The draft starts like this:

Eight hundred years ago, a bloomery produces some iron. The process is not tightly controlled - the metal may contain a wide range of carbon content or slag impurities, and it’s not easy to measure the iron’s quality. There may be some externally-visible signs, but they’re imperfect proxies for the metal’s true composition. The producer has imperfect information about their own outputs.

Tha

The world is a complicated and chaotic place. Anything could interact with everything, and some of these are good. This post describes that general paralysis of the insane can be cured with malaria. At least if they do not die during the treatment.

If late-stage syphilis (general paralysis) isn't treated, then they probably die 3-5 years with progressively worse symptoms each year. So even when 5-20% of the died immediately when the treatment started, they still had better survival rates in one and five years. A morbid example of an expected value choice: w... (read more)

I ended up referring back to this post multiple times when trying to understand the empirical data on takeoff speeds and in-particular for trying to estimate the speed of algorithmic progress independent of hardware progress. 

I also was quite interested in the details here in order to understand the absolute returns to more intelligence/compute in different domains. 

One particular follow-up post I would love to see is to run the same study, but this time with material disadvantage. In-particular, I would really like to see, in both chess and go, ... (read more)

There are lots of anecdotes about choosing the unused path and being the disruptor, but I feel this post explains the idea more clearly, with better analogies and boundaries.

To achieve a goal you have to build a lot of skills (deliberate practice) and apply them when it is really needed (maximum performance). Less is talked about searching for the best strategy and combination of skills. I think "deliberate play" is a good concept for this because it shows that strategy research is a small but important part of playing well.

This is a great theorem that's stuck around in my head this last year! It's presented clearly and engagingly, but more importantly, the ideas in this piece are suggestive of a broader agent foundations research direction. If you wanted to intimate that research direction with a single short post that additionally demonstrates something theoretically interesting in its own right, this might be the post you'd share.

This strikes me as a core application of rationality. Learning to notice implicit "should"s and tabooing them. The example set is great.

Some of the richness is in the comments. Raemon's in particular highlights an element that strikes me as missing: The point is to notice the feeling of judging part of the territory as inherently good or bad, as opposed to recognizing the judgment as about your assessment of how you and/or others relate to the territory.

But it's an awful lot to ask of a rationality technique to cover all cases related to its domain.

If all ... (read more)

This post is a solid list of advice on self-studying. It matches the Review criterion of posts that continue to affect my behavior. (I don't explicitly think back to the post, but I do occasionally bring up its advice in my mind, like "as yes, it's actually good to read multiple textbooks concurrently and not necessarily finish them".)

I actually disagree with the "most important piece of advice", which is to use spaced repetition software. Multiple times in my life, I have attempted to incorporate an SRS habit into my life, reflecting on why it previously ... (read more)

One particularly important thing I got out of this post was crystallizing a complaint I sometimes have about people using anthropic reasoning. If someone says there's trillion-to-1 evidence for (blah) based on anthropics, it's actually not so crazy to say "well I don't believe (blah) anyway, based on the evidence I get from observing the world", it seems to me.

Or less charitably to myself, maybe this post is helping me rationalize my unjustified and unthinking gut distrust of anthropic reasoning :-P

Anyway, great post.

I went back and forth on this post a lot. Ultimately the writing is really fantastic and I appreciate the thought and presence Joe put into it. It doesn't help me understand why someone would care about ant experience but it does help me understand the experience of caring about ant sentience.

I think this post points towards something important, which is a bit more than what the title suggests, but I have a problem describing it succinctly. :)

Computer programming is about creating abstractions, and leaky abstractions are a common enough occurrence to have their own wiki page. Most systems are hard to comprehend as a whole, and a human has to break them into parts which can be understood individually. But these are not perfect cuts, the boundaries are wobbly, and the parts "leak" into each other.

Most commonly these leaks happen because of a tech... (read more)

I really, really liked this idea. In some sense it's just reframing the idea of trade-offs. But it's a really helpful (for me) reframe that makes it feel concrete and real to me.

I'd long been familiar with "the expert blind spot" — the issue where experts will forget what it's like to see like a non-expert and will try to teach from there. Like when aikido teachers would tell me to "just relax, act natural, and let the technique just happen on its own." That makes sense if you've been practicing that technique for a decade! But it's awful advice to give a ... (read more)

This post gave me a piece of jargon that I've found useful since reading it. In some sense, the post is just saying "sometimes people don't do Bayesian updating", which is a pretty cold take. But I found it useful to read through a lot of examples and discussion of what the deal might be. In my practice of everyday rationality, this post made it easier for me to stop and ask things like, "Is this a trapped prior? Might my [or others'] reluctance to update be due to whatever mechanisms cause a trapped prior?"

I liked this story enough to still remember it, separately from the original Sort By Controversial story.  Trade across moral divide is a useful concept to have handles for.

This post has a lot of particular charms, but also touches on a generally under-represented subject in LessWrong: the simple power of deliberate practice and competence. The community seems saturated with the kind of thinking that goes [let's reason about this endeavor from all angles and meta-angles and find the exact cheat code to game reality] at the expense of the simple [git gud scrub]. Of course, gitting gud at reason is one very important aspect of gitting gud in general, but only one aspect.

The fixation on calibration and correctness in this commun... (read more)

The best compliment I can give this post is that the core idea seems so obviously true that it seems impossible that I haven't thought of or read it before. And yet, I don't think I have.

Aside from the core idea that it's scientifically useful to determine the short list of variables that fully determine or mediate an effect, the secondary claim is that this is the main type of science that is useful and the "hypothesis rejection" paradigm is a distraction. This is repeated a few times but not really proven, and it's not hard to think of counterexamples: m... (read more)

1. This post is worthwhile and correct, with clear downstream impact.  It might be the only non-AI post of 2021 that I've heard cited in in-person conversation -- and the cite immediately improved the discussion.
2. It's clearly written and laid out; unless you're already an excellent technical writer, you can probably learn something by ignoring its content and studying its structure.

This post is the most comprehensive answer to the question "what was really going on at Leverage Research" anyone has ever given, and that question has been of interest to many in the LW community. I'm happy to see it's been nominated for the year-end review; thank you to whomever did that!

Since this got nominated, now's a good time to jump in and note that I wish that I had chosen different terminology for this post.

I was intending for "final crunch time" to be a riff on Eliezer saying, here, that we are currently in crunch time.

This is crunch time for the whole human species, and not just for us but for the intergalactic civilization whose existence depends on us. This is the hour before the final exam and we're trying to get as much studying done as possible.

I said explicitly, in this post, "I'm going to refer to this last stretch of a fe... (read more)

This might be the lowest karma post that I've given a significant review vote for. (I'm currently giving it a 4). I'd highly encourage folk to give it A Think.

This post seems to be asking an important question of how to integrate truthseeking and conflict theory. I think this is probably one of the most important questions in the world. Conflict is inevitable. Truthseeking is really important. They are in tension. What do we do about that?

I think this is an important civilizational question. Most people don't care nearly enough about truthseeking in the fi... (read more)

I haven't thought about Oliver Sipple since I posted my original comment. Revisiting it now, I think it is a juicier consequentialist thought experiment than the trolley problem or the surgeon problem. Partly, this is because the ethics of the situation depend so much on which aspect you examine, at which time, and illustrates how deeply entangled ethical discourse is with politics and PR.

It's also perfectly plausible to me that Oliver's decline was caused by the psychological effect of unwanted publicity and the dissolution of his family ties. But I'm not... (read more)

The ideas in this post greatly influence how I think about AI timelines, and I believe they comprise the current single best way to forecast timelines.

A +12-OOMs-style forecast, like a bioanchors-style forecast, has two components:

1. an estimate of (effective) compute over time (including factors like compute getting cheaper and algorithms/ideas getting better in addition to spending increasing), and
2. a probability distribution on the (effective) training compute requirements for TAI (or equivalently the probability that TAI is achievable as a function of tr

I upvoted this highly for the review. I think of this as a canonical reference post now for the sort of writing I want to see on LessWrong. This post identified an important problem I've seen a lot of people struggle with, and writes out clear instructions for it. 

I guess a question I have is "how many people read this and had it actually help them write more quickly?". I've personally found the post somewhat helpful, but I think mostly already had the skill.

This post is pretty important to me. "Understanding frames" and "Understanding coordination theory" are like my two favorite things, and this post ties them together. 

When I previously explored frames, I was mostly thinking through the lens of "how do people fail to communicate." I like that this post goes into the more positively-focused "what are frames useful for, and how might you design a good frame on purpose?". Much discussion of frames on LW has been a bit vague and woo-y. I like that this post frames Frames as a technical product, and approac... (read more)