Read

Current Reading List

DONE Neural Interactive Proofs

DONE Towards a scale-free theory of intelligent agency

TODO Well-foundedness as an organizing principle of healthy minds and societies

TODO The Inner Alignment Problem

TODO Smooth markets

Thermodynamics

1. TODO Classical Thermodynamics and Economics by Yuxi Liu

2. Ortega papers:

   1. TODO thermodynamics as a theory of decision-making with computational costs

   2. TODO information-theoretic bounded rationality

   3. TODO information, utility and bounded rationality

3. TODO Demystifying the second law of thermodynamics by Eigil Rischel

4. TODO Clarifying the free energy principle (with quotes) by Ryo

5. TODO On Bayesian Mechanics: A Physics of and by Beliefs

6. TODO Physical foundations of Landauer's principle by Michael P Frank

7. TODO AI Consciousness

8. TODO Thermodynamic computers

Other

1. TODO DeepseekMath

2. TODO LLM Inference Economics I and II

3. TODO Emacs LISP

4. TODO Parsing

from scholar inbox

1. TODO The Limits of AI Explainability: An Algorithmic Information Theory Approach

2. TODO AI Awareness

Later readable things

Lecture notes on online learning (Parameter-free)

Introduction to stochastic calculus

Cryptoeconomics and such

1. Vitalik: Cryptoeconomics and X-risk researchers should listen to each other

2. Intro to ethereum

3. A whirlwind tour of ethereum finance

4. Bitcoin whitepaper

5. Bittensor whitepaper

John Wentworth's study guide

DSA

Convex Optimization

DSGE and Recursive Macro

Games and Information

Control theory

Statistical mechanics

Lesswrong "The best …" seires

The best Textbooks for every subject

The best Reference Works for every subject

The best Tacit Knowledge Videos for every subject

Good explanations

X list of high-signal content

Blogs

• http://markforster.squarespace.com/forum/
• http://bearlamp.com.au/
• https://ourbigbook.com/
• https://www.marginalia.nu/
• https://risingentropy.com/
• https://www.jeremykun.com/
• https://nosology.substack.com
• https://near.blog/
• Oliver Nash
• https://yuxi-liu-wired.github.io/essays/
• https://parameterfree.com/lecture-notes-on-online-learning/
• https://jiha-kim.github.io/posts/introduction-to-stochastic-calculus/

online personalities I like

• Mitchell Porter
• Ron Maimon
• Mark Eichenlaub
• CR Drost

Youtube channels and educational cites

• 3blue1brown Summer of Math Exposition
• Math3ma
• Welch Labs
  • Why Deep Learning works unreasonably well
• Better Explained

More technical blogs

• Gibiansky
• Gowers
• Colah
• Distill
• Soren Bouma

Meta

AI alignment meta

• https://www.aisafety.com/landscape-map
• https://aideadlin.es/?sub=ML,AP,KR,NLP

Software tips

• https://www.reddit.com/r/linux/comments/r1lfnq/can_you_convert_one_linux_distro_to_another/
• https://karl-voit.at/2015/12/26/reference-management-with-orgmode/
• https://wohanley.com/posts/org-setup/
• https://danielpaleka.com/what-i-use
• https://www.reddit.com/r/thinkpad/comments/5xh702/no_way_to_check_battery_cycles_on_linux_t450s/
• https://www.reddit.com/r/linux4noobs/comments/cveg5s/backing_up_windows_10_before_making_the_full/
• Git LFS stuff
• Git SSH configuration
• OSSU Computer Science course seems like a good reference for teaching "the ropes".
• https://operating-system-in-1000-lines.vercel.app/en (HN discussion)

Productivity

• https://gettingthingsdone.com/what-is-gtd/
• http://markforster.squarespace.com/autofocus-system/
• https://www.facebook.com/Xuenay/posts/10153513535798662
• https://blog.samaltman.com/how-to-be-successful
• http://benjaminrosshoffman.com/approval-extraction-advertised-as-production/
• https://guzey.com/lifehacks/
• https://milan.cvitkovic.net/writing/things_youre_allowed_to_do/

Stuff that might be relevant in life at some point

• Open Source Ecology
• https://nintil.com/us-immigration
• Stripe Atlas
• How to get GPUs and make them brrrrrr
• CS basics crash course
• Cryonics sign-up guide (see also)
• UK 10-year route ILR — COVID qualifying absence, Reddit

Courses and ML resources

• https://course.fast.ai/
• ilya30u30
• https://www.vikas.sh/post/how-i-got-into-deep-learning
• Francois Fleuret's deep-learning course and book
• https://github.com/karpathy/LLM101n
• https://ml-resources.vercel.app/

Tools

• PDF tools: PDFSam/PDFGear/FoxIt/PDF24/PDFArranger
• Video editing: capcut?
• Diagrams: SVG? TikZ? Draw.io? Excalidraw? Mermaid? IDK haven't figured out a good one yet.
• Big list: https://debarghyadas.com/writes/github/

1. OCR

   • https://twitter.com/moyix/status/1786822000721207559
   • https://github.com/VikParuchuri/surya
   • https://mmocr.readthedocs.io/en/latest/
   • https://huggingface.co/docs/transformers/en/model_doc/trocr
   • https://github.com/NielsRogge/Transformers-Tutorials/blob/master/TrOCR/Evaluating_TrOCR_base_handwritten_on_the_IAM_test_set.ipynb
   • https://news.ycombinator.com/item?id=39966534

   1. Apple Vision

      • https://github.com/freedmand/textra
      • https://twitter.com/lemonodor/status/1639034553796018176
      • https://findthatmeme.com/blog/2023/01/08/image-stacks-and-iphone-racks-building-an-internet-scale-meme-search-engine-Qzrz7V6T.html
      • https://yasoob.me/posts/how-to-use-vision-framework-via-pyobjc/

2. Quick online tools

   • Inverse Symbolic Calculator [alt]
   • Detexify
   • MatVis
   • Linear Phase Portraits
   • Tables generator
   • RegEx tester

3. Fun

   • Gender-guesser,
   • Bad at entropy (explanation)
   • Akinator
   • Mathgen
   • latex.vercel.app, a stylesheet for making websites look like latex

4. Misc

   • https://en.wikipedia.org/wiki/Template:Types_of_cooking_oils_and_fats
   • https://coolclimate.org/maps
   • https://www.myorthodoc.com/sneaky-ac-joint-neck-pain-imitator/
   • https://x.com/i/communitynotes/new
   • Community archive
   • Commutometer

slopware

the following is slop and I will judge you for it:

• notion
• slack
• calendly
• google docs (ok this one's actually useful for opening PDFs but I'll still judge)
• appleslop
• "fukuyama"
• "acemoglu"
• FT/Economist