Domain: Prediction Markets
Link: predictionmarketmap.com
Author(s): Saul Munn (self)
Type: Mapping of an ecosystem
Why: Reasonably comprehensive mapping of the prediction market/forecasting ecosystem, including prediction markets, forecasting platforms, research/consultancy firms, tools, resources for learning, community infrastructure, and media/news/journalism.
Domain: Mathematics
Link: Teach Yourself Logic
Author(s): Peter Smith
Type: Study Guide
Why: Extremely thorough guide to logic textbooks from start to finish. Compares pros and cons of various books, tells you what parts you can skip, and identifies books with good exercises.
Complete garbage, sorry. It is "funny animated charts", not "reference works". List of things with almost zero benefit that I will never read, like the 99.9% who saw this post. Couldn't find ANYTHING useful, really , e.g.:
1) "The Princeton Companion to Mathematics" - is not about math but about "history of math". Not even on subject. Math is not "collection of biographies of nearly 100 famous deceased mathematicians"
2) "Meditation" - give me books on HOW TO meditate, not on meditation locations lol. Location doesn't mean anything, the process is essential. Whole topic is misguided
3...inf) same problems as for examples above
Domain: (Applied) Bayesian Statistics
Link: Statistical Rethinking (free pdf), My Less Wrong Review, The 2017-2023 Lectures*
Author: Richard McElreath
Type: Book, YouTube lectures and less wrong post about Bayesian Statistics books in general
Why: Modern Bayes relies on HMC sampling, this book goes all in on this approach, this allowed you to focus on how to build the model and allows you to skip all math (except for the link function), by sacrificing a little bit of mathematical rigor this book covers more than all other popular books on the subject, to the point where you can stop 2/3 way trough and consider the last 1/3 "advanced optional topics".
*The 2017 and 2019 were great, I have not watched the newer versions of the course, the older versions of the book uses ulam a pedagogical STAN wrapper powerful enough for most of the the exercises in the book, written by the author, I would advice serious students to do all the models in Stan, pymc or a wrapper that uses those.
Domain: Mathematics, linear algebra
Link: Matrix Computations
Authors: Gene H. Golub, Charles F. Van Loan
Type: Textbook
Why: This is the most comprehensive book I've found on the algorithms of numerical linear algebra
Curated. At first it seems a little odd to recommend lists of content in this day and age when for many or most purposes, you'll go to your local shoggoth. This compilation is pretty good though. I think there's something to be said for human works and "cleanliness" of the process that produced them, but also this list contains a number of resources that LLMs just aren't making yet: some pretty neat visualizations, and e.g. lists of of lists (of lists). An approach I like is to take a reference work and load it into an LLM as context before getting tutoring on a topic. LLMs being able to surface diagrams and images from the text will make this even better.
Here are some of my favorites (though I haven't look through them all):
I'm glad this exists and I think is worth taking a look for most people. Kudos!
I would add best literature survey piece for the given subject area as another type of reference material people should submit.
Domain: Computer Science, AI Safety
Link: AI Safety Graph
Author(s): Savva Lambin, Matin Mahmood, Samuel Ratnam, Sruthi Kuriakose, Pandelis Mouratoglou
Type: Interactive Map
Why: Intuitive to navigate, comprehensive semantic mapping of research across the AI safety field, thorough representation of subfields.
Domain: History (or Social Sciences)
Link: calculatingempires.net
Authors: Kate Crawford and Vladan Joler
Type: Historical chart
Why: This map traces the history of technical and social structures and how they have co-evolved over five centuries. If we are to address the urgent challenges of the contemporary time - including technocratic fascism, climate catastrophe, colonial wars, and wealth inequality - we need to contend with the interwoven nature of their histories.
Domain: Forecasting
Link: Forecasting AI Futures Resource Hub
Author(s): Alvin Ånestrand (self)
Type: directory
Why: A collection of information and resources for forecasting about AI, including a predictions database, related blogs and organizations, AI scenarios and interesting analyses, and various other resources.
It's kind of a complement to https://www.predictionmarketmap.com/ for forecasting specifically about AI
Domain: Physics
Link: How to Learn Physics for Free
Author(s): Alastair Williams
Type: Study Guide
Why: Your physics section is sadly underpopulated and this site is a maintained and comprehensive list of resources for studying many different areas of physics.
A Schelling point is something people can pick without coordination, often because it feels natural or obvious.
Domain: Other Lists like This
Link: Map of Reddit (warning: pressing enter does not work in the search box, you have to click on a suggested subreddit in the dropdown)
Author(s): Andriy Kashcha
Type: Interactive Chart
Why: Groups Reddit's subreddits into categories & shows subreddits related to a given one.
Domain: Linguistics
Sub Domains: Psychology, Neuroscience, Epistilography, Etymology
Link: How Language Works
Author(s): David Crystal
Type: Book
Why: Covers every part of language you can dream of. The author is obsessive and meticulous. From hieroglyphs to Heschl's gyri, Crystal covers it all.
Domain: Statistics
Link: Statistics for the Rest of Us
Author(s): Albert Rutherford
Type: Book
Why: I do not recommend this to anyone familiar with statistics. But, I do recommend this as an introduction to many basic topics in stats. I had studied a bit of stats before reading the book, but found it pretty illuminating. I read the entire thing in the course of 1h plane trips. It puts a lot of the abstract math into clear scenarios.
Domain: AI safety (better known as "The alignment problem")
Links:
here’s 16 minute’s worth of overview that basically covers all you’d need to know about what AI safety specifically is:
- Could AI wipe out humanity? | Most pressing problems (10 mins),
- The real risk of AI (6 mins)
- Look at this graph:
If you’d be curious to learn more about the nitty-gritty of AI safety, watch (in this order):
- Intro to AI Safety, Remastered (18 mins) (Sidenote: The original video is from 2016, & back then people thought AI would develop much slower.)
- The OTHER AI Alignment Problem: Mesa-Optimizers and Inner Alignment (23 mins)
- Using Dangerous AI, But Safely? (30 mins)
Author(s): 80000 Hours, Siliconversations, Metaculus, Rob Miles.
Type: list
Why: To use as a quick intro
Introduction
The Best Textbooks on Every Subject is the Schelling point for the best textbooks on every subject. My The Best Tacit Knowledge Videos on Every Subject is the Schelling point for the best tacit knowledge videos on every subject. This post is the Schelling point for the best reference works for every subject.
Reference works provide an overview of a subject. Types of reference works include charts, maps, encyclopedias, glossaries, wikis, classification systems, taxonomies, syllabi, and bibliographies.
Reference works are valuable for orienting oneself to fields, particularly when beginning. They can help identify unknown unknowns; they help get a sense of the bigger picture; they are also very interesting and fun to explore.
How to Submit
My previous The Best Tacit Knowledge Videos on Every Subject uses author credentials to assess the epistemics of submissions. The Best Textbooks on Every Subject requires submissions to be from someone who has read at least three textbooks in the textbook domain.
It is more difficult to assess the epistemics of reference works than tacit knowledge videos and textbooks due to the breadth of the category “reference work”. That being the case, reference works are selected and included based on my judgment. The key question I intend to answer in selecting reference works is: “Does this reference work feel useful and interesting for giving me orientation in a domain?”
If you know of any reference works, I warmly invite you to submit them in the LessWrong comments with the following structure:
The List
Humanities
History
Religion
Philosophy
Literature
Formal Sciences
Computer Science
Mathematics
Natural Sciences
Physics
Earth Science
Astronomy
Professional and Applied Sciences
Library and Information Sciences
Education
Research
Finance
Medicine and Health
Meditation
Urban Planning
Forecasting
Social Sciences
Economics
Political Science
By Medium
Other Lists like This
Further Reading
Thanks to Saul Munn and Collisteru for conversations that inspired this post. Thanks to Skyler Crossman and nomagicpill for helpful feedback on this post. Thanks to ChatGPT o3 for helping me generate descriptions for some of these links and Claude for helping me rewrite some sentences.
Also, this post and The Best Tacit Knowledge Videos on Every Subject take time to maintain. If you’d like to help, drop me a line! I'll pay you $2/entry-added.