Modular forms [https://youtu.be/LhCMD7N_fMc?si=vJQgRqxeZpp4FfjA](https://youtu.be/LhCMD7N_fMc?si=vJQgRqxeZpp4FfjA) Peter Norvig AI researcher [https://www.youtube.com/watch?v=wvvMmLzzhqg&pp=ygUMUGV0ZXIgTm9ydmln](https://www.youtube.com/watch?v=wvvMmLzzhqg&pp=ygUMUGV0ZXIgTm9ydmln) Science books https://twentytextbooks.bearblog.dev/ Rust for big data https://x.com/vaibhaw_vipul/status/1814616372099297656?t=R8jysNNdlwiZWnKPxecG2A&s=19 How to structure papers [Ten simple rules for structuring papers | PLOS Computational Biology](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005619) [https://www.youtube.com/watch?v=TT4I2VIPYrg](https://www.youtube.com/watch?v=TT4I2VIPYrg) Locality principle Principle of Computational irreducibility Free Energy principle Active Inference Brain, physics, neuroscience, math, category theory, python, cellular automata, artificial intelligence, machine learning. Science click general relativity Oxford mathematical biology lectures [https://youtu.be/Kvu1ZiD_nNI?si=mokZe4BV3px-m7KL](https://youtu.be/Kvu1ZiD_nNI?si=mokZe4BV3px-m7KL) Penrose everything Optimal control [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PLIygTcviGPKBCJ9JyHfBi4ftc9FDCtaBc&si=_6_B6_DKffekGp4m) https://searchengineland.com/how-google-search-ranking-works-445141 Susskind Hawking Intelligent people https://x.com/burny_tech/status/1825033711395422465?t=m09M2I3117KTYl77mNtY7Q&s=19 Einstein Neumann Memetics https://www.sciencedirect.com/science/article/pii/S1571064524000939?via%3Dihub Math and physics video lectures that come with their own books/notes https://boards.4chan.org/sci/thread/16276320 [Artificial General Intelligence](https://mitpress.mit.edu/9780262549349/artificial-general-intelligence/) [Reasoning through arguments against taking AI safety seriously - Yoshua Bengio](https://yoshuabengio.org/2024/07/09/reasoning-through-arguments-against-taking-ai-safety-seriously/) [Patrick Mineault | Foundation Models for Neuroscience to WBE @ Whole Brain Emulation Workshop 2024 - Foresight Institute](https://foresight.org/summary/patrick-mineault-foundation-models-for-neuroscience-to-wbe-whole-brain-emulation-workshop-2024/) Math of emergence https://x.com/gershbrain/status/1811695816639414454?t=1MSW_TZ-tET0CmjaZMShVw&s=19 https://www.pnas.org/doi/full/10.1073/pnas.1314922110 https://royalsocietypublishing.org/doi/10.1098/rsta.2021.0246 Algebraic game theory Stanford mathematical metaphysics [The Metaphysics Research Lab](https://mally.stanford.edu/) [The Theory of Abstract Objects](https://mally.stanford.edu/theory.html) Principia Logico-Metaphysica [https://mally.stanford.edu/principia.pdf](https://mally.stanford.edu/principia.pdf) Metaawarenes on active Inference [Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference - PubMed](https://pubmed.ncbi.nlm.nih.gov/34457352/) Predicting chaotic systems [https://youtu.be/xvfdobdqZP0?si=90FiF4s0eyA2cap_](https://youtu.be/xvfdobdqZP0?si=90FiF4s0eyA2cap_) Brain and current AI is similar and different in various ways We still miss a lot of details about the brain but one of the closest models are stuff like hudgley huxley equations, and NMDA receptors add more nonlinearity, and there's lots of models in predictive processing, and it has relatively specialized regions, and is learning by not backpropagation but something closer to some form of hebbian learning or forward forward algorithm or some neural cellular automata stuff Uaa brain is nicely complicated machine I love it And people are trying to make AI closer to the brain, like spiking neural networks Brain as microprocessor [Criticality explains structure-function relationships in the human brain | bioRxiv](https://www.biorxiv.org/content/10.1101/2024.07.15.603226v1) Free-Energy Equilibria: Toward a Theory of Interactions Between Boundedly-Rational Agents [https://openreview.net/attachment?id=4Ft7DcrjdO&name=pdf](https://openreview.net/attachment?id=4Ft7DcrjdO&name=pdf) Code your own type theory [https://youtu.be/DEj-_k2Nx6o?si=qW4ggfM7ESj8WguT](https://youtu.be/DEj-_k2Nx6o?si=qW4ggfM7ESj8WguT) Topology in biology [Topology in Biology | SpringerLink](https://link.springer.com/referenceworkentry/10.1007/978-3-319-70658-0_87-1) Neurotechnology [GitHub - neurotech-berkeley/neurotech-course: CS198-96: Intro to Neurotechnology @ UC Berkeley](https://github.com/neurotech-berkeley/neurotech-course) Topological topology and topological data analysis books https://x.com/FrnkNlsn/status/1815456294024696200?t=9YE5qrIvTa41ZFCNQNIJ2Q&s=19 Calculus books https://x.com/Riazi_Cafe_en/status/1815441256706961677?t=wujcXPoqn2cFTSRxCzc03w&s=19 Brain is modular https://x.com/PessoaBrain/status/1815742900937830595?t=rHBg7GWbmVFlPuTG3QOxlQ&s=19 [Towards more cooperative AI safety strategies — LessWrong](https://www.lesswrong.com/posts/5uffoui3axcK7gQXG/towards-more-cooperative-ai-safety-strategies) Biological circuits design [Biological Circuit Design — Biological Circuit Design documentation](https://biocircuits.github.io/index.html) Percolation: a Mathematical Phase Transition [https://www.youtube.com/watch?v=a-767WnbaCQ](https://www.youtube.com/watch?v=a-767WnbaCQ) [Constructing the Meta-Religion: Mapping Concepts from Eastern and Western Religion onto the Story of a Self-Organizing Universe](https://roadtoomega.substack.com/p/constructing-the-meta-religion-mapping) Brain augmentation and neuroscience technologies: current applications, challenges, ethics and future prospects [Brain augmentation and neuroscience technologies: current applications, challenges, ethics and future prospects - PMC](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538357/) https://x.com/burny_tech/status/1817009900939075793 David Deutsch [Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLQO6eJQErzSWDU9gmjTr9swyFavd15aOh) Ultra meta study ❤️ Analyzing 2,605,224 papers spanning five decades from the social sciences and physical sciences, russellfunk and colleagues find that while the organization of scientific concepts is important for the growth of knowledge, the mechanisms vary across time. [Conceptual structure and the growth of scientific knowledge | Nature Human Behaviour](https://www.nature.com/articles/s41562-024-01957-x) [Brain Scientists Finally Discover the Glue that Makes Memories Stick for a Lifetime | Scientific American](https://www.scientificamerican.com/article/brain-scientists-finally-discover-the-glue-that-makes-memories-stick-for-a/)