All of cursed's Comments + Replies

I don't know if you're purposely being antagonistic, but I'll respond because I try to assume that people are arguing in good faith.

You predict nothing of that sort in the linked comment. The antibody test being negative is a distinct event from immunization. 

The first linked comment I said that "there's a 1-2% chance here that you've effectively immunized yourself from COVID.". In the second linked comment, I clarified that an anti-body test would be the the predictor of immunization.

I picked 50% because of the comment:

My rough guess is that there's

... (read more)
8ChristianKl
Given that people actually had vastly different predictions for full immunity and antibodies detecting and commercial tests detecting antibodies this just illustrates that you don't understand the topic well enough to distinguish the different claims to offer a bet that's worth for anybody to take given their stated beliefs. 

My prediction that the anti-body test would come back negative: https://www.lesswrong.com/posts/niQ3heWwF6SydhS7R/making-vaccine?commentId=hgwzegWcLEYrZMmZj

You predict nothing of that sort in the linked comment. The antibody test being negative is a distinct event from immunization. 

No one took me up on a bet: https://www.lesswrong.com/posts/niQ3heWwF6SydhS7R/making-vaccine?commentId=h8mqNdAypszWYQ7dh.

You offered 50/50 odds for an event that  johnswentworth gave 29% likelihood (which was the maximum of anybody giving). It's quite obvious why nobo... (read more)

I don't understand the argument about SAD. 

Should I conclude from my inability to find any published studies on the Internet testing this question that there is some fatal flaw in my plan that I’m just not seeing?

A simple Google search shows thousands of articles addressing this very solution. The first Google result I found is a paper from 1984 with 2,758 citations: https://jamanetwork.com/journals/jamapsychiatry/article-abstract/493246

We report our preliminary attempts to modify these depressions by manipulating environmental lighting conditions. We

... (read more)

A simple Google search shows thousands of articles addressing this very solution.

The solution in the paper you link is literally the solution Eliezer described trying, and not working:

As of 2014, she’d tried sitting in front of a little lightbox for an hour per day, and it hadn’t worked.

(Note that the "little lightbox" in question was very likely one of these, which you may notice have mostly ratings of 10,000 lux rather than the 2,500 cited in the paper. So, significantly brighter, and despite that, didn't work.)

It does sound like you misunderstood... (read more)

You can buy nasal sprays over-the-counter, while I can't think of a single injectable medicine that you can buy legally without a prescription. I don't think the "stab people in the arm" argument is very strong.

Would you like to make a friendly wager? (Either Dentin, or johnswentworth, or anyone else making their own vaccine). We can do 50/50, since its in between our estimates. If you have two positive back-to-back anti-body tests within 2 months, you win (assuming you don't actually contract covid, which I trust you'll be honest here). If not, I win. To start off with, I'm willing to put down $100, but happy to go up or down.

My estimate for whether or not I would test positive on a blood test was only about 50%, since blood isn't the primary place that the response is generated.  I'm already betting a substantial amount of money (peptide purchases and equipment) that this will be helpful, and I see no reason to throw an additional $50 on a break-even bet here.

I would, however, be happy to commit to sharing results, whether they be positive or negative.

... and now it occurs to me that if Lesswrong had a 'public precommitments' feature, I would totally use it.

I wouldn't take 50/50. I do think it's much more likely than that to induce mucus antibodies, but not blood antibodies. I would take 3:1 odds.

Vaccines that are brought to clinical trials have a 33.4% approval rate, which seems like a reasonable estimate of the chances that this vaccine works if executed correctly.

 

I don't follow. Don't vaccines have trials on cells, mice, primates, before clinical? So unless radvac has also done similar testing, this 33.4% isn't comparable.

Props to you for taking action here, this is some impressive stuff.

That being said, I'm extremely skeptical that this will work, my belief is that there's a 1-2% chance here that you've effectively immunized yourself from COVID.

What do you believe is the probability of success? 

Why are established pharmaceutical companies spending billions on research and using complex mRNA vaccines when simply creating some peptides and adding it to a solution works just as well?

My rough guess is that there's a 75% probability of effectively full immunity, and a 90% probability of severity reduction.  This is a pretty well tested and understood vaccine mechanism, and the goal isn't "perfect immunity" as "prime the immune system so it doesn't spend a week guessing about what antibodies it needs to combat the virus effectively".

As to why established companies don't do it, I believe it's partially logistics, and largely red tape. Logisitics first (though it should be noted that at least some of these could likely be tackled with... (read more)

With Sam Altman (CEO of YCombinator) talking so much about AI safety and risk over the last 2-3 months, I was so sure that he was working out a deal to fund MIRI. I wonder why they decided to create their own non-profit instead.

Although on second thought, they're aiming for different goals. While MIRI is focused on safety once strong AI occurs, OpenAI is trying to actually speed up the research of strong AI.

Nate Soares says there will be some collaboration between OpenAI and MIRI:

https://intelligence.org/2015/12/11/openai-and-other-news/

3jacob_cannell
In practice MIRI is more think-tank than research organization. AFAIK MIRI doesn't even yet claim to have a clear research agenda that leads to practical safe AGI. Their research is more abstract/theoretical/pie in the sky and much harder to measure. Given that numerous AI safety think tanks already now exist, creating a new actual research org non-profit makes sense - it fills in an empty niche. Creating a fresh structure gives the organizers/founders more control and allows them to staff it with researchers they believe in.
7ChristianKl
It interesting that their project is called OpenAI while both Facebook and Google open sourced AI algorithms in the last month and a half. Neither Google nor Facebook seems to be in the OpenAI list but Amazon Web Services does. Infosys as the second largest Indian IT company is also an interesting part of the list of funders. There an article from yesterday about forming a new company strategy that involves relying heavily on AI. I expect OpenAI to actually develop software in a way that MIRI doesn't.

This isn't bad, though I feel like:

This I call "pretending to be Wise". Of course there are many ways to try and signal wisdom. But trying to signal wisdom by refusing to make guesses - refusing to sum up evidence - refusing to pass judgment - refusing to take sides - staying above the fray and looking down with a lofty and condescending gaze - which is to say, signaling wisdom by saying and doing nothing - well, that I find particularly pretentious.

would apply to the XKCD example, but not to the people claiming that the Lebanon attacks should've been publicized more than the Paris attacks. I hope I'm not treading too much into political territory here.

2Viliam
That would be closer to Nirvana fallacy, applied to activism. "People do something good. You criticize them for not doing something better instead." This argument happens all the time. See also The Copenhagen Interpretation of Ethics. There is a standard solution S0 that almost everyone chooses. Someone chooses a better solution S1. They get attacked for not choosing even better solution S2. The harmful part is that choosing S1 over S2 is socially punished, while choosing S0 over both S1 and S2 flies under the radar. If the reason for choosing S1 over S2 was that the solution S2 was too complicated or too expensive, we effectively teach people to choose S0 over S1 to avoid the punishment in the future. (Specifically: S2 = reporting on Lebanon and Paris attacks appropriately; S1 = focusing on Paris; S0 = ignoring both.)

Is there a good word for https://xkcd.com/774/? The closest word I can think of is "countersignaling", but it doesn't precisely describe it. I've noticed this sort of behavior a lot on Facebook recently, with the Paris terrorist attacks.

4Viliam
This seems related: -- Pretending to be Wise
0mwengler
Meta-signaling? He appears to be signaling something by signaling something.
1Bryan-san
Correction: first is an example of weak man argument mixed with personal uncomfortability. However, we could also strong man that as character 1 being agnostic and annoyed at people's attempts at arguing for certainty on the topic. Second comment is a variant on "my opponent believes something" (noncentral fallacy territory) but breaks into genetic fallacy with the emotion part. My opponent feels annoyed by two opposing groups which is kind of like he thinks that they are intrinsically inferior which is kind of like he thinks he is better/smarter than them which is kind of like he had a superiority complex which is kind of like he doesn't care about the issue at all which is kind of like he is just self centered which is kind of like he's a bad person. (I may have added extra steps but you get the picture) Also, good job at noticing your own confusion and uncomfortableness with it even if you weren't sure why!

Whenever the conjunction fallacy is brought up, it always irks me, because it doesn't seem like a real fallacy. In the example given by Rationality A to Z, "[...] found that experimental subjects consdiered it less likely that a strong tennis player would lose the first set than he would lose the first set but win the match."

There's two valid interpretations of this statement here:

1) The fallacious interpretation: P(Lose First Set) < P(Lose First Set and Win Match)

2) P(Lose First Set) < P(Win Match | Lose First Set), which is a valid and n... (read more)

Looks like it has been addressed in Conjunction Controversy (Or, How They Nail It Down):

A further experiment is also discussed in Tversky and Kahneman (1983) in which 93 subjects rated the probability that Bjorn Borg, a strong tennis player, would in the Wimbledon finals "win the match", "lose the first set", "lose the first set but win the match", and "win the first set but lose the match". The conjunction fallacy was expressed: "lose the first set but win the match" was ranked more probable than"

... (read more)

I haven't really looked into it, but there was an odd message that he left in his IAMA in regards to Girardian philosophy: http://www.reddit.com/r/IAmA/comments/2g4g95/peter_thiel_technology_entrepreneur_and_investor/ckfn9rj?context=3 . Would love for anyone who knows more to jump in.

I'm not sure if this response was directed towards me, because I don't know what their reasonings are.

4JoshuaZ
The response was directed towards you, I should have maybe phrased it as adding something like "We should then ask" before the question. If this is caused by a lack of funding then it isn't by itself that much of a worry.

As noted in http://lesswrong.com/lw/lfg/cfar_in_2014_continuing_to_climb_out_of_the/, they haven't even started yet. Also, just replicating a study they cite in their rationality training would be a good step.

One of the future premises of CFAR is that we can eventually apply the full scientific method to the problem of constructing a rationality curriculum (by measuring variations, counting things, re-testing, etc.) -- we aim to eventually be an evidence-based organization. In our present state this continues to be a lot harder than we would like; and o

... (read more)
3JoshuaZ
Ok. That's a little more worrisome. So how much of that situation is itself caused by lack of funding and the currently small nature of the organization?

On CFAR's front page:

In the process, we’re breaking new ground in studying the long-term effects of rationality training on life outcomes using randomized controlled trials.

Despite CFAR's 2-3 year existence (probably longer informally, as well) they have yet to publish a single paper on these "randomized controlled trials". I would advise not donating until they make good on their claims.

edit: I've also made some notes on CFAR and their use of science as an applause light in previous comments.

8AnnaSalamon
Our vision page sure is out of date there; which I agree reflects badly on us. We should not make that claim at this time. I do suspect we're a good use of donation, though, for reasons discussed in the links above; happy to engage on specifics.
3JoshuaZ
2-3 years seems like a reasonable time span to not have published if one is trying to measure some sort of long-term effect.

Thinking about a quote from HPMOR (the podcast is quite good, if anyone was interested):

But human beings had four times the brain size of a chimpanzee. 20% of a human's metabolic energy went into feeding the brain. Humans were ridiculously smarter than any other species. That sort of thing didn't happen because the environment stepped up the difficulty of its problems a little. Then the organisms would just get a little smarter to solve them. Ending up with that gigantic outsized brain must have taken some sort of runaway evolutionary process, something

... (read more)
4drethelin
I believe one phrase for it is the Machiavellian Intelligence Hypothesis
1emr
Not exactly a match, but Others in Mind: Social Origins of Self-Consciousness makes a variant of this claim, putting an arms race concerning prediction of third-party reactions to hypothetical actions as the driving force of human self-awareness.
0pcm
I suggest Geoffrey Miller's book The Mating Mind. Or search for sexual selection.
-1advancedatheist
Yet many of the really smart humans seem to have trouble with social interactions. Dark Triad people who excel at getting others to do their bidding might have higher than average IQ's, but they generally don't go into STEM fields where having high IQ's can pay off.

Personally, I prefer more produced podcasts, in the style of Serial, Freakonomics, etc, because very few people are good interviewees. I would like to hear more if you could improve the microphone quality - I couldn't distinguish some words, even upon relistening. I'm sure the person behind HPMOR Podcast would offer more tips if you contacted him.

0JoshuaFox
Right, I'll need to polish up the production values. But taking these three inital interviews as an example: What do you think of the content? Does it help you in some way?

Do you mind revealing what Shane's timelines are, and the probability that he thinks that he'll play a role in AGI?

Hey Dan, thanks for responding. I wanted to ask a few questions:

You noted the non-response rate for the 20 randomly selected alumni. What about the non-response rate for the feedback survey?

"0 to 10, are you glad you came?" This is a biased question, because you frame that the person is glad. A similar negative question may say "0 to 10, are you dissatisfied that you came?" Would it be possible to anonymize and post the survey questions and data?

We also sent out a survey earlier this year to 20 randomly selected alumni who had attende

... (read more)

Do you think it was unhelpful because you already had a high level of knowledge on the topics they were teaching and thus didn't have much to learn or because the actual techniques were not effective?

I don't believe I had a high level of knowledge on the specific topics they were teaching (behavior change, and the like). I did study some cognitive science in my undergraduate years, and I take issue with the 'science'.

Do you think your experience was typical?

I believe that the majority of people don't get much, if anything, from CFAR's rationality... (read more)

0[anonymous]
(Dan from CFAR here) Hi cursed - glad to hear your feedback, though I'm obviously not glad that you didn't have a good experience at the CFAR events you went to. I want to share a bit of information from my point of view (as a researcher at CFAR) on 1) the role of the cognitive science literature in CFAR's curriculum and 2) the typical experience of the people who come to a CFAR workshop. This comment is about the science; I'll leave a separate comment about thing 2. Some of the techniques that CFAR teaches are based pretty directly on things from the academic literature (e.g., implementation intentions come straight from Peter Gollwitzer's research). Some of our techniques are not from the academic literature (e.g., the technique that we call "propagating urges" started out in 2011 as something that CFAR co-founder Andrew Critch did). The not-from-the-literature techniques have been through a process of iteration, where we theorize about how we think the technique works, then (with the aid of our best current model) we try to teach people to use the technique, and then we get feedback on how it goes for them. Then repeat. The "theorizing" step of this process includes digging into the academic literature to get a better understanding of how the relevant parts of the mind work, and that often plays a role in shaping the class. With "propagating urges," at first none of the people that Critch taught it to were able to get it to work for them, but then Critch made a connection to some neuroscience he'd been reading, we updated our model of how the technique was supposed to work, and then more people were able to make use of the technique. (I'm tempted to go into more specifics here, but that feels like a tangent and this comment is going to be long enough without it.) Classes based on from-the-academic-literature techniques also go through a similar process of iteration. For example, there are a lot of studies that have shown that people who are instructed to com
2Jackercrack
Well that's a bit dispiriting, though I suppose looking back my view of CFAR was a bit unrealistic. Downregulating chance that CFAR is some kind of panacea.
0[anonymous]
Well, that's a bit dispiriting but thanks for responding anyway. Was this recently or when they were just starting up?

That's fantastic. How many cards total do you have, and how many minutes a day do you study?

3Emile
Apparently I have 6887 cards (though that includes those I suspended because they're boring, useless, too difficult, duplicated, or possibly wrong; I tend to often suspend cards instead of deleting them); of those around 3000 are Chinese pinyin cards I automatically created with a Python script (I set them up to get between 1 and 5 new ones per day, depending on how busy I tend to be), 1000 are Japanese (the biggest deck of manually-entered cards), and the remaining decks rarely go over 300 cards. I study probably between 20 and 40 minutes per day, usually in public transit or during "downtime" (waiting in line, carrying the baby around the house hoping for him to sleep, in the restroom, the elevator...). The time depends of how many new cards I entered recently.

I didn't learn anything useful. They taught, among other things, "here's what you should do to gain better habits". Tried it and didn't work on me. YMMV.

One thing that really irked me was the use of cognitive 'science' to justify their lessons 'scientifically'. They did this by using big scientific words that felt like they were trying to attempt to impress us with their knowledge. (I'm not sure what the correct phrase is - the words weren't constraining beliefs? don't pay rent? they could have made up scientific sounding words and it would have ... (read more)

(This is Dan from CFAR again)

We have a fair amount of data on the experiences of people who have been to CFAR workshops.

First, systematic quantitative data. We send out a feedback survey a few days after the workshop which includes the question "0 to 10, are you glad you came?" The average response to that question is 9.3. We also sent out a survey earlier this year to 20 randomly selected alumni who had attended workshops in the previous 3-18 months, and asked them the same question. 18 of the 20 filled out the survey, and their average response... (read more)

(Dan from CFAR here)

Hi cursed - glad to hear your feedback, though I'm obviously not glad that you didn't have a good experience at the CFAR events you went to.

I want to share a bit of information from my point of view (as a researcher at CFAR) on 1) the role of the cognitive science literature in CFAR's curriculum and 2) the typical experience of the people who come to a CFAR workshop. This comment is about the science; I'll leave a separate comment about thing 2.

Some of the techniques that CFAR teaches are based pretty directly on things from the academi... (read more)

4Jackercrack
Do you think it was unhelpful because you already had a high level of knowledge on the topics they were teaching and thus didn't have much to learn or because the actual techniques were not effective? Do you think your experience was typical? How useful do you think it would be to an average person? An average rationalist?

Those who are currently using Anki on a mostly daily or weekly basis: what are you studying/ankifying?

To start: I'm working on memorizing programming languages and frameworks because I have trouble remembering parameters and method names.

4philh
Geography: "what direction [relative to central london] is this tube stop in?", English counties (locations), U.S. states (locations, capitals), Canadian territories and provinces (locations and capitals), countries (locations, capitals, and at some point I'll add flags). (Most of these came from ankiweb originally, but I had to add reverse cards.) Bayes: conversions between odds, probabilities and decibels (specific numbers and more recently the general formulas) Miscellaneous: the NATO phonetic alphabet, logs (base 2 of 1.25, 1.5, 1.75, and base 10 of 2 through 9), some words I can never remember how to spell (this turns out not to help), some computer stuff (the order of the arguments in python's datetime.strptime, and the difference between a left join and a right join), some definitions in machine learning, some historical dates (e.g. wars, first moon landing, introduction of the model T), some historical inflation rates, some astronomical facts. Also a deck based on the twelve virtues of rationality essay. (This one and most of the bayes one I found through LW.) I'm not sure most of this is useful, but most of it hasn't cost me significant effort either.
6Emile
These days, most of my time on Anki is on Japanese (which I'm learning for fun) and Chinese (which I already know, but I'm brushing up on tones and characters). Looking through my decks, I also have decks on: * Algorithms and data structures (from a couple books I read on that) * Communication (misc. tips on storytelling, giving talks, etc.) * Game Design (insights and concepts that seemed valuable) * German * Git and Unix Command Line commands * Haskell * Insight (misc. stuff that seemed interesting/important) * Mnemonics * Productivity (notes from Lukeprog's posts and vairous other sources) * Psychology and neuroscience * Rationality Habits (one of the few decks I have that come all made, from Anna Salmon I think, though I also added some stuff and delted others) * Statistics * Web Technologies (some stuff on Angular JS and CSS that I got tired of looking up all the time) (also a few minor decks with very few cards) I review those pretty much every day (I sometimes leave a few unfinished, depending on how much idle time I have in queues, transport, etc.)

I've been to several of CFAR's classes throughout the last 2 years (some test classes and some more 'official' ones) and I feel like it wasn't a good use of my time. Spend your money elsewhere.

6hyporational
What made it poor use of your time?

Is there a listing of Yvain/slatestarcodex's fiction? I just finished reading The Study of Anglophysics, and I want more.

8Kaninchen
I'm not aware of any complete compilations of his fiction in one place; that said, you can presumably find most of it by going through the "fiction" tag on SSC, the fiction section of his website and the fiction tag on his old LiveJournal.

I'm convinced! Checked out your first post, good stuff so far.

It'd be nice if you could go over why you think you'd be a good candidate to cover the subject.

3badger
I'm a PhD student working in this field and have TA'd multiple years for a graduate course covering this material.

i'm interested in your other ed-tech startup ideas, if you don't mind sharing.

1[anonymous]
List of them are here: http://www.quantifiedstartup.net/startup/

Cryonics ideas in practice:

"The technique involves replacing all of a patient's blood with a cold saline solution, which rapidly cools the body and stops almost all cellular activity. "If a patient comes to us two hours after dying you can't bring them back to life. But if they're dying and you suspend them, you have a chance to bring them back after their structural problems have been fixed," says surgeon Peter Rhee at the University of Arizona in Tucson, who helped develop the technique."

http://www.newscientist.com/article/mg22129623... (read more)

Great, I'll look into the Topology book.

2gjm
A couple more topology books to consider: "Basic Topology" by Armstrong, one of the Springer UTM series; "Topology" by Hocking and Young, available quite cheap from Dover. I think I read Armstrong as a (slightly but not extravagantly precocious) first-year undergraduate at Cambridge. Hocking and Young is less fun and probably more of a shock if you've been away from "real" mathematics for a while, but goes further and is, as I say, cheap.

I have a degree in computer science, looking to learn more about math to apply to a math graduate program and for fun.

2Scott Garrabrant
My guess is that if you have an interest in computer science, you will have the most fun with logic and discrete math, and will not have much fun with the calculus. If you are serious about getting into a math graduate program, then you have to learn the calculus stuff anyway, because it is a large part of the Math GRE.

Thanks, I made an edit you might not have seen, I mentioned I do have experience with calculus (differential, integral, multi-var), discrete math (basic graph theory, basic proofs), just filling in some gaps since it's been awhile since I've done 'math'. I imagine I'll get through the first two books quickly.

Can you recommend some algebra/analysis/topology books that would be a natural progression of the books I listed above?

2Nisan
In my experience, "analysis" can refer to two things: (1) A proof-based calculus course; or (2) measure theory, functional analysis, advanced partial differential equations. Spivak's Calculus is a good example of (1). I don't have strong opinions about good texts for (2).
2Nisan
Dummit & Foote's Abstract Algebra is a good algebra book and Munkres' Topology is a good topology book. They're pretty advanced, though. In university one normally one tackles them in late undergrad or early grad years after taking some proof-based analysis and linear algebra courses. There are gentler introductions to algebra and topology, but I haven't read them.
1Scott Garrabrant
I am not going to be able to recommend any books. I learned all my math directly from professors' lectures. What is your goal in learning math? If you want to learn for MIRI purposes, and youve already seen some math, then relearning calculus might not be worth your time

I'm interested in learning pure math, starting from precalculus. Can anyone give advise on what textbooks I should use? Here's my current list (a lot of these textbooks were taken from the MIRI and LW's best textbook list):

  • Calculus for Science and Engineering
  • Calculus - Spivak
  • Linear Algebra and its Applications - Strang
  • Linear Algebra Done Right
  • Div, Grad, Curl and All That (Vector calc)
  • Fundamentals of Number Theory - LeVeque
  • Basic Set Theory
  • Discrete Mathematics and its Applications
  • Introduction to Mathematical Logic
  • Abstract Algebra - Dummit

I'm w... (read more)

0iarwain1
I'm doing precalculus now, and I've found ALEKS to be interesting and useful. For you in particular it might be useful because it tries to assess where you're up to and fill in the gaps. I also like the Art of Problem Solving books. They're really thorough, and if you want to be very sure you have no gaps then they're definitely worth a look. Their Intermediate Algebra book, by the way, covers a lot of material normally reserved for Precalculus. The website has some assessments you can take to see what you're ready for or what's too low-level for you.
1ricketybridge
For what it's worth, I'm doing roughly the same thing, though starting with linear algebra. At first I started with multivariable calc, but when I found it too confusing, people advised me to skip to linear algebra first and then return to MVC, and so far I've found that that's absolutely the right way to go. I'm not sure why they're usually taught the other way around; LA definitely seems more like a prereq of MVC. I tried to read Spivak's Calc once and didn't really like it much; I'm not sure why everyone loves it. Maybe it gets better as you go along, idk. I've been doing LA via Gilbert Strang's lectures on the MIT Open CourseWare, and so far I'm finding them thoroughly fascinating and charming. I've also been reading his book and just started Hoffman & Kunze's Linear Algebra, which supposedly has a bit more theory (which I really can't go without). Just some notes from a fellow traveler. ;-)
1Qiaochu_Yuan
I think people generally agree that analysis, topology, and abstract algebra together provide a pretty solid foundation for graduate study. (Lots of interesting stuff that's accessible to undergraduates doesn't easily fall under any of these headings, e.g. combinatorics, but having a foundation in these headings will equip you to learn those things quickly.) For analysis the standard recommendation is baby Rudin, which I find dry, but it has good exercises and it's a good filter: it'll be hard to do well in, say, math grad school if you can't get through Rudin. For point-set topology the standard recommendation is Munkres, which I generally like. The problem I have with Munkres is that it doesn't really explain why the axioms of a topological space are what they are and not something else; if you want to know the answer to this question you should read Vickers. Go through Munkres after going through Rudin. I don't have a ready recommendation for abstract algebra because I mostly didn't learn it from textbooks. I'm not all that satisfied with any particular abstract algebra textbooks I've found. An option which might be a little too hard but which is at least fairly comprehensive is Ash, which is also freely legally available online. For the sake of exposure to a wide variety of topics and culture I also strongly, strongly recommend that you read the Princeton Companion. This is an amazing book; the only bad thing I have to say about it is that it didn't exist when I was a high school senior. I have other reading recommendations along these lines (less for being hardcore, more for pleasure and being exposed to interesting things) at my blog.
1Vladimir_Nesov
Keep a file with notes about books. Start with Spivak's "Calculus" (do most of the exercises at least in outline) and Polya's "How to Solve It", to get a feeling of how to understand a topic using proofs, a skill necessary to properly study texts that don't have exceptionally well-designed problem sets. (Courant&Robbins's "What Is Mathematics?" can warm you up if Spivak feels too dry.) Given a good text such as Munkres's "Topology", search for anything that could be considered a prerequisite or an easier alternative first. For example, starting from Spivak's "Calculus", Munkres's "Topology" could be preceded by Strang's "Linear Algebra and Its Applications", Hubbard&Hubbard's "Vector Calculus", Pugh's "Real Mathematical Analysis", Needham's "Visual Complex Analysis", Mendelson's "Introduction to Topology" and Axler's "Linear Algebra Done Right". But then there are other great books that would help to appreciate Munkres's "Topology", such as Flegg's "From Geometry to Topology", Stillwell's "Geometry of Surfaces", Reid&Szendrői's "Geometry and Topology", Vickers's "Topology via Logic" and Armstrong's "Basic Topology", whose reading would benefit from other prerequisites (in algebra, geometry and category theory) not strictly needed for "Topology". This is a downside of a narrow focus on a few harder books: it leaves the subject dry. (See also this comment.)
0[anonymous]
Given your background and our wish for pure math, I would skip the calculus and applications of linear algebra and go directly to basic basic set theory, then abstract algebra, then mathy linear algebra or real analysis, then topology. Or, do discrete math directly if you already know how to write a proof.
2Nisan
Maybe the most important thing to learn is how to prove things. Spivak's Calculus might be a good place to start learning proofs; I like that book a lot.

I advise that you read the first 3 books on your list, and then reevaluate. If you do not know any more math than what is generally taught before calculus, then you have no idea how difficult math will be for you or how much you will enjoy it.

It is important to ask what you want to learn math for. The last four books on your list are categorically different from the first four (or at least three of the first four). They are not a random sample of pure math, they are specifically the subset of pure math you should learn to program AI. If that is your goal,... (read more)

"from 11PM to 5PM PST on Saturday, Jan. 4th."

Guessing you meant 11AM. -Edit: The Eventbrite link says 11AM to 7PM. What is it?

I wasn't convinced about testimonials from CFAR camps (also as a student, the price deterred me), but with a money back guarantee it seems like the opportunity cost of spending 6 hours at CFAR outweighs whatever else I would do. Tempted to go.

In one section, you spelled Kirsh's name Kirsch. Also, it was unexpected to see my professor show up on a Lesswrong post.

0fowlertm
Fixed. And I'm glad you said something, I'd forgotten to email Professor Kirsh with a link to this post.

Awesome, I'm creating my own recipe based off of yours.

Do you mix all of your ingredients together, including the chicken and the supplements?

The link for Feynman's Why Questions is broken.

0Kaj_Sotala
Fixed, thanks.

Which text to speech program do you use?

1Jabberslythe
Textaloud. I describe my method a bit here. 2 - 5 books a day was an exaggeration, I think. It's usually 2 - 3.

What are the prerequisites for reading this? What level of mathematics and background of classical physics?

4Lu93
You need some solid Linear Algebra: Vector Space, dual vector space, unitary and hermitian matrices, eigenvectors and eigenvalues, trace... Mind that you should learn these things with mathematical approach, for example, vectors are elements of vector space which has certain axioms, and not 3D arrows, like pupils learn in school. Since book has this approach (matrix mechanics, rather than wave mechanics), you don't need too strong analysis, you can just trust that some things are working that way, but if you want to understand it fully, i recommend taking some analysis course as well, to be able to understand decomposition in eigenfunctions. Integrals and derivatives are MUST, however.