Frustrated by claims that "enlightenment" and similar meditative/introspective practices can't be explained and that you only understand if you experience them, Kaj set out to write his own detailed gears-level, non-mysterious, non-"woo" explanation of how meditation, etc., work in the same way you might explain the operation of an internal combustion engine.

Zuck and Musk point to energy as a quickly approaching deep learning bottleneck over and above compute. This to me seems like it could slow takeoff substantially and effectively create a wall for a long time. Best arguments against this?
The main thing I got out of reading Bostrom's Deep Utopia is a better appreciation of this "meaning of life" thing. I had never really understood what people meant by this, and always just rounded it off to people using lofty words for their given projects in life. The book's premise is that, after the aligned singularity, the robots will not just be better at doing all your work but also be better at doing all your leisure for you. E.g., you'd never study for fun in posthuman utopia, because you could instead just ask the local benevolent god to painlessly, seamlessly put all that wisdom in your head. In that regime, studying with books and problems for the purpose of learning and accomplishment is just masochism. If you're into learning, just ask! And similarly for any psychological state you're thinking of working towards. So, in that regime, it's effortless to get a hedonically optimal world, without any unendorsed suffering and with all the happiness anyone could want. Those things can just be put into everyone and everything's heads directly—again, by the local benevolent-god authority. The only challenging values to satisfy are those that deal with being practically useful. If you think it's important to be the first to discover a major theorem or be the individual who counterfactually helped someone, living in a posthuman utopia could make things harder in these respects, not easier. The robots can always leave you a preserve of unexplored math or unresolved evil... but this defeats the purpose of those values. It's not practical benevolence if you had to ask for the danger to be left in place; it's not a pioneering scientific discovery if the AI had to carefully avoid spoiling it for you. Meaning is supposed to be one of these values: not a purely hedonic value, and not a value dealing only in your psychological states. A further value about the objective state of the world and your place in relation to it, wherein you do something practically significant by your lights. If that last bit can be construed as something having to do with your local patch of posthuman culture, then there can be plenty of meaning in the postinstrumental utopia! If that last bit is inextricably about your global, counterfactual practical importance by your lights, then you'll have to live with all your "localistic" values satisfied but meaning mostly absent. It helps to see this meaning thing if you frame it alongside all the other objectivistic "stretch goal" values you might have. Above and beyond your hedonic values, you might also think it good for you and others to have objectively interesting lives, accomplished and fulfilled lives, and consumingly purposeful lives. Meaning is one of these values, where above and beyond the joyful, rich experiences of posthuman life, you also want to play a significant practical role in the world. We might or might not be able to have lots of objective meaning in the AI utopia, depending on how objectivistic meaningfulness by your lights ends up being. > Considerations that in today's world are rightly dismissed as frivolous may well, once more pressing problems have been resolved, emerge as increasingly important [remaining] lodestars... We could and should then allow ourselves to become sensitized to fainter, subtler, less tangible and less determinate moral and quasi-moral demands, aesthetic impingings, and meaning-related desirables. Such recalibration will, I believe, enable us to discern a lush normative structure in the new realm that we will find ourselves in—revealing a universe iridescent with values that are insensible to us in our current numb and stupefied condition (pp. 318-9).
I wonder how much testosterone during puberty lowers IQ. Most of my high school math/CS friends seemed low-T and 3/4 of them transitioned since high school. They still seem smart as shit. The higher-T among us seem significantly brain damaged since high school (myself included). I wonder what the mechanism would be here... Like 50% of my math/cs Twitter is trans women and another 40% is scrawny nerds and only like 9% big bald men. I have a tremendously large skull (like XXL hats) - maybe that's why I can still do some basic math after the testosterone brain poison during puberty? My voice is kind of high pitched for my body — related?? My big strong brother got the most brain damaged and my thin brother kept most of what he had. Now I'm looking at tech billionaires. Mostly lo-T looking men. Elon Musk & Jeff Bezos were big & bald but seem to have pretty big skulls  to compensate ¿ I guess this topic/theory is detested by cis women, trans women,  lo-T men, and hi-T men all alike because it has something bad to say about all of them.  But here's a recipe for success according to the theory: * be born with giant head (please don't kill your mother, maybe suggest she get a C section) * delay your puberty until you've learned enough to get by, maybe age 22 or so * start slamming testosterone and amphetamines to get your workaholicism, betterThanEveryone complex, and drive for power *  go to Turkey for a hair transplant *  profit
I recently listened to The Righteous Mind. It was surprising to me that many people seem to intrinsically care about many things that look very much like good instrumental norms to me (in particular loyalty, respect for authority, and purity). The author does not make claims about what the reflective equilibrium will be, nor does he explain how the liberals stopped considering loyalty, respect, and purity as intrinsically good (beyond "some famous thinkers are autistic and didn't realize the richness of the moral life of other people"), but his work made me doubt that most people will have well-being-focused CEV. The book was also an interesting jumping point for reflection about group selection. The author doesn't make the sorts of arguments that would show that group selection happens in practice (and many of his arguments seem to show a lack of understanding of what opponents of group selection think - bees and cells cooperating is not evidence for group selection at all), but after thinking about it more, I now have more sympathy for group-selection having some role in shaping human societies, given that (1) many human groups died, and very few spread (so one lucky or unlucky gene in one member may doom/save the group) (2) some human cultures may have been relatively egalitarian enough when it came to reproductive opportunities that the individual selection pressure was not that big relative to group selection pressure and (3) cultural memes seem like the kind of entity that sometimes survive at the level of the group. Overall, it was often a frustrating experience reading the author describe a descriptive theory of morality and try to describe what kind of morality makes a society more fit in a tone that often felt close to being normative / fails to understand that many philosophers I respect are not trying to find a descriptive or fitness-maximizing theory of morality (e.g. there is no way that utilitarians think their theory is a good description of the kind of shallow moral intuitions the author studies, since they all know that they are biting bullets most people aren't biting, such as the bullet of defending homosexuality in the 19th century).
Elizabeth1d314
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Brandon Sanderson is a bestselling fantasy author. Despite mostly working with traditional publishers, there is a 50-60 person company formed around his writing[1]. This podcast talks about how the company was formed. Things I liked about this podcast: 1. he and his wife both refer to it as "our" company and describe critical contributions she made. 2. the number of times he was dissatisfied with the way his publisher did something and so hired someone in his own company to do it (e.g. PR and organizing book tours), despite that being part of the publisher's job. 3. He believed in his back catalog enough to buy remainder copies of his books (at $1/piece) and sell them via his own website at sticker price (with autographs). This was a major source of income for a while.  4. Long term grand strategic vision that appears to be well aimed and competently executed. 1. ^ The only non-Sanderson content I found was a picture book from his staff artist. 

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The hypothesis I would immediately come up with is that less traditionally masculine AMAB people are inclined towards less physical pursuits.

2quetzal_rainbow22m
It's really weird hypothesis because DHT is used as nootropic. I think the most effect of high T, if it exists, is purely behavioral.
2Viliam26m
Also, accelerate education, to learn as much as possible before the testosterone fully hits. Or, if testosterone changes attention (as Gunnar wrote), learn as much as possible before the testosterone fully hits... and afterwards learn it again, because it could give you a new perspective.
4Gunnar_Zarncke2h
Testosterone influences brain function but not so much general IQ. It may influence to which areas your attention and thus most of your learning goes. For example, Lower testosterone increases attention to happy faces while higher to angry faces. 

Where I write up some small ideas that I've been happening that may eventually become their own top level posts. I'll start populating with a few ideas I've posted up as twitter/Facebook thoughts.

Zuck and Musk point to energy as a quickly approaching deep learning bottleneck over and above compute.

This to me seems like it could slow takeoff substantially and effectively create a wall for a long time.

Best arguments against this?

The history of science has tons of examples of the same thing being discovered multiple time independently; wikipedia has a whole list of examples here. If your goal in studying the history of science is to extract the predictable/overdetermined component of humanity's trajectory, then it makes sense to focus on such examples.

But if your goal is to achieve high counterfactual impact in your own research, then you should probably draw inspiration from the opposite: "singular" discoveries, i.e. discoveries which nobody else was anywhere close to figuring out. After all, if someone else would have figured it out shortly after anyways, then the discovery probably wasn't very counterfactually impactful.

Alas, nobody seems to have made a list of highly counterfactual scientific discoveries, to complement wikipedia's list of multiple discoveries.

To...

Answer by Jonas HallgrenApr 24, 202410

The Buddha with dependent origination. I think it says somewhere that most of the stuff in Buddhism was from before the Buddha's time. These are things such as breath-based practices and loving kindness, among others. He had one revelation that made the entire enlightenment thing basically which is called dependent origination.*

*At least according to my meditation teacher, I believe him since he was a neuroscientist and astrophysics masters at Berkeley before he left for India though so he's got some pretty good epistemics.

It basically states that any syst... (read more)

2Jan_Kulveit26m
Mendel's Laws seem counterfactual by about ˜30 years, based on partial re-discovery taking that much time. His experiments are technically something which someone could have done basically any time in last few thousand years, having basic maths
2Lukas_Gloor2h
Very cool! I used to think Hume was the most ahead of his time, but this seems like the same feat if not better.
3Answer by Mateusz Bagiński2h
Maybe Hanson et al.'s Grabby aliens model? @Anders_Sandberg  said that some N years before that (I think more or less at the time of working on Dissolving the Fermi Paradox), he "had all of the components [of the model] on the table" and it just didn't occur to him that they can be composed in this way. (personal communication, so I may be misremembering some details). Although it's less than 10 years, so... Speaking of Hanson, prediction markets seem like a more central example. I don't think the idea was [inconceivable in principle] 100 years ago.

This post brings together various questions about the college application process, as well as practical considerations of where to apply and go. We are seeing some encouraging developments, but mostly the situation remains rather terrible for all concerned.

Application Strategy and Difficulty

Paul Graham: Colleges that weren’t hard to get into when I was in HS are hard to get into now. The population has increased by 43%, but competition for elite colleges seems to have increased more. I think the reason is that there are more smart kids. If so that’s fortunate for America.

Are college applications getting more competitive over time?

Yes and no.

  1. The population size is up, but the cohort size is roughly the same.
  2. The standard ‘effort level’ of putting in work and sacrificing one’s childhood and gaming
...
This is a linkpost for https://dynomight.net/seed-oil/

A friend has spent the last three years hounding me about seed oils. Every time I thought I was safe, he’d wait a couple months and renew his attack:

“When are you going to write about seed oils?”

“Did you know that seed oils are why there’s so much {obesity, heart disease, diabetes, inflammation, cancer, dementia}?”

“Why did you write about {meth, the death penalty, consciousness, nukes, ethylene, abortion, AI, aliens, colonoscopies, Tunnel Man, Bourdieu, Assange} when you could have written about seed oils?”

“Isn’t it time to quit your silly navel-gazing and use your weird obsessive personality to make a dent in the world—by writing about seed oils?”

He’d often send screenshots of people reminding each other that Corn Oil is Murder and that it’s critical that we overturn our lives...

1denkenberger5h
People have been breathing a lot of smoke in the last million years or so, so one might think that we would have evolved to tolerate it, but it's still really bad for us. Though there are certainly lots of ways to go wrong deviating from what we are adapted to, our current unnatural environment is far better for our life expectancy than the natural one. As pointed out in other comments, some food processing can be better for us.
1Slapstick14h
A cooked food could technically be called a processed food but I don't think that adds much meaningful confusion. I would say the same about soaking something in water. Olives can be made edible by soaking them in water. If they're made edible by soaking in a salty brine (an isolated component that can be found in whole foods in more suitable quantities) then they're generally less healthy. Local populations might adapt by finding things that can be heavily processed into edible foods which can allow them to survive, but these foods aren't necessarily ones which would be considered healthy in a wider context.
Ann2h10

Aside from the rare naturally edible-when-ripe cultivar, olives are (mostly) made edible by fermenting and curing them. With salt, yes. And lye, often. Even olives fermented in water are then cured in brine. What saltless olives are you interacting with?

Edit: Also, cooking is very much processing food. It has all the mechanisms to change things and generate relevant pollutants. It changes substances drastically, and different substances differently drastically. Cooking with fire will create smoke, etc. Cooking with overheated teflon cookware will kill your... (read more)

2Joseph Miller17h
I'm confused - why are you so confident that we should avoid processed food. Isn't the whole point of your post that we don't know whether processed oil is bad for you? Where's the overwhelming evidence that processed food in general is bad?
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...or continue with

(Cross-posted from my website. Audio version here, or search "Joe Carlsmith Audio" on your podcast app.

This is the first essay in a series that I’m calling “Otherness and control in the age of AGI.” See here for more about the series as a whole.)

When species meet

The most succinct argument for AI risk, in my opinion, is the “second species” argument. Basically, it goes like this.

Premise 1: AGIs would be like a second advanced species on earth, more powerful than humans.

Conclusion: That’s scary.

To be clear: this is very far from airtight logic.[1] But I like the intuition pump. Often, if I only have two sentences to explain AI risk, I say this sort of species stuff. “Chimpanzees should be careful about inventing humans.” Etc.[2]

People often talk about aliens here,...

I think this series might be easier for some to engage with if they imagine Carlsmith to be challenging priors around what AI minds will be like. I don't claim this is his intention.

For me, the series makes more sense read back to front - starting with some options of how to engage with the future, noting the tendency of LessWrongers to distrust god and nature, noting how that leads towards a slightly dictatorial tendency, suggesting alternative poises and finally noting that just as we can take a less controlling poise towards the future, so might AIs tow... (read more)

Produced while being an affiliate at PIBBSS[1]. The work was done initially with funding from a Lightspeed Grant, and then continued while at PIBBSS. Work done in collaboration with @Paul Riechers, @Lucas Teixeira, @Alexander Gietelink Oldenziel, and Sarah Marzen. Paul was a MATS scholar during some portion of this work. Thanks to Paul, Lucas, Alexander, Sarah, and @Guillaume Corlouer for suggestions on this writeup.

Introduction

What computational structure are we building into LLMs when we train them on next-token prediction? In this post we present evidence that this structure is given by the meta-dynamics of belief updating over hidden states of the data-generating process. We'll explain exactly what this means in the post. We are excited by these results because

  • We have a formalism that relates training data to internal
...
1Niclas Kupper2h
Is there some theoretical result along the lines of "A sufficiently large transformer can learn any HMM"?

Depending on what one means by 'learn' this is provably impossible. The reason has nothing to do with the transformer architecture (which one shouldn't think of as a canonical architecture in the grand scheme of things anyway).

There is a 2-state generative HMM such that the optimal predictor of the output of said generative model provably requires an infinite number of states. This is for any model of computation, any architecture.

Of course, that's maybe not what you intend by 'learn'. If you mean by 'learn' express the underlying function of an HMM then the answer is yes by the Universal Approximation Theorem (a very fancy name for a trivial application of the Stone-Weierstrass theorem).

Hope this helped. 😄

This summarizes a (possibly trivial) observation that I found interesting.

 

Story

An all-powerful god decides to play a game. They stop time, grab a random human, and ask them "What will you see next?". The human answers, then time is switched back on and the god looks at how well they performed. Most of the time the humans get it right, but occasionally they are caught by surprise and get it wrong.

To be more generous the god decides to give them access (for the game) to the entirety of all objective facts. The position and momentum of every elementary particle, every thought and memory anyone has ever had (before the time freeze) etc. However, suddenly performance in the game drops from 99% to 0%. How can this be? They...

2Ben3h
I am having trouble following you. If little-omega is a reference frame I would expect it to be a function that takes in the "objective world" (Omega) and spits out a subjective one. But you seem to have it the other way around? Or am I misunderstanding?

isn't a reference frame; rather, if is a world then aka are the reference frames for .

Essentially when dealing with generalized reference frames that contain answers to questions such as "who are you?", the possible reference frames are going to depend on the world (because you can only be a real person, and which real people there are depends on what the world is). As such, "reference frames" don't make sense in isolation, rather one needs a (world, reference frame) pair, which is what I call an "interpretation".

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