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  19. The Problem With Chesterton's Fence

  20. Five Misunderstandings about Cultural Evolution § Pg17

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  29. Book Review: The Secret Of Our Success, Joseph Henrich

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  56. Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research

  57. AlphaStar: Mastering the Real-Time Strategy Game StarCraft II

  58. Population Based Training of Neural Networks

  59. Interactions between Learning and Evolution

  60. Guided evolutionary strategies: Augmenting random search with surrogate gradients

  61. Decoupled Neural Interfaces using Synthetic Gradients

  62. Epistemology Without a Knowing Subject

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  64. The Reasonable Effectiveness of the Multiplicative Weights Update Algorithm

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  66. On the Evolution of Investment Strategies and the Kelly Rule—A Darwinian Approach

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  96. Pain affect without pain sensation in a patient with a postcentral lesion

  97. I-zombies: The Hard Problem of Unconsciousness

  98. PRISM: The Function of Phenomenal States: Supramodular Interaction Theory

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  105. tank#alternative-examples

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  107. Good and Real: Demystifying Paradoxes from Physics to Ethics § Pg94

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  109. Toward a Rational and Mechanistic Account of Mental Effort

  110. Glucose Is Not Willpower Fuel: Is the Muscle Model of Self-Control Less Then a Metaphor?

  111. Does Thinking Really Hard Burn More Calories?: Unlike Physical Exercise, Mental Workouts Probably Do Not Demand Significantly More Energy Than Usual. Believing We Have Drained Our Brains, However, May Be Enough to Induce Weariness

  112. In the Running

  113. That Which Does Not Kill Me Makes Me Stranger

  114. Fatigue is a brain-derived emotion that regulates the exercise behavior to ensure the protection of whole body homeostasis

  115. Mental Fatigue Impairs Endurance Performance: A Physiological Explanation

  116. Blood sugar level follows perceived time rather than actual time in people with type 2 diabetes

  117. How to Beat Procrastination

  118. Cognitive Behavior Therapy for Depression From an Evolutionary Perspective

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  120. https://www.spencergreenberg.com/2023/02/doing-what-you-value-as-a-way-of-life-an-introduction-to-valuism/

  121. Shop Class As Soulcraft: The Case for the Manual Trades

  122. Why Do Doctors Still Use Pagers?

  123. ‘Story Of Your Life’ Is Not A Time-Travel Story

  124. On the Scientific Ways of Treating Natural Law by Hegel 1803

  125. Stevey's Google Platforms Rant

  126. Technology Holy Wars are Coordination Problems

  127. Why Tool AIs Want to Be Agent AIs

  128. Complexity no Bar to AI

  129. Timing Technology: Lessons From The Media Lab

  130. The Gift of the Amygdali

  131. Can Technology Plan Economies and Destroy Democracy?

  132. Big Tech Sees Like a State

  133. Studies On Slack

  134. Everyday Lessons from High-Dimensional Optimization

  135. The Power of High Speed Stupidity

  136. AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence

  137. On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models

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  139. AutoML-Zero: Open source code for the paper: "AutoML-Zero: Evolving Machine Learning Algorithms From Scratch"

  140. AutoML-Zero: Evolving Code That Learns

  141. Evolving Reinforcement Learning Algorithms

  142. Gradient Descent: The Ultimate Optimizer

  143. Reverse engineering learned optimizers reveals known and novel mechanisms

  144. Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves

  145. Training Learned Optimizers with Randomly Initialized Learned Optimizers

  146. Meta Learning Backpropagation And Improving It

  147. BLUR: Meta-Learning Bidirectional Update Rules

  148. LHOPT: A Generalizable Approach to Learning Optimizers

  149. A critique of pure learning and what artificial neural networks can learn from animal brains

  150. https://intelligence.org/files/WBE-Superorgs.pdf

  151. WBE & DRL: a Middle Way of imitation learning on brains

  152. Meta-Learning: Learning to Learn Fast

  153. Meta Reinforcement Learning

  154. The Three Projections of Doctor Futamura

  155. Emergence of belief-like representations through reinforcement learning

  156. Meta-learners’ learning dynamics are unlike learners’

  157. Ray Interference: a Source of Plateaus in Deep Reinforcement Learning

  158. Learning not to learn: Nature versus nurture in silico

  159. Meta-trained agents implement Bayes-optimal agents

  160. What Are Bayesian Neural Network Posteriors Really Like?

  161. What learning algorithm is in-context learning? Investigations with linear models

  162. In-context Reinforcement Learning with Algorithm Distillation

  163. Supervised Pretraining Can Learn In-Context Reinforcement Learning

  164. Meta-learning, social cognition and consciousness in brains and machines

  165. Solving Rubik’s Cube with a Robot Hand

  166. Solving Rubik’s Cube with a Robot Hand [blog]

  167. Solving Rubik’s Cube With a Robot Hand: Perturbations

  168. Learning to Predict Without Looking Ahead: World Models Without Forward Prediction [blog]

  169. Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

  170. HyperNetworks

  171. MetaGenRL: Improving Generalization in Meta Reinforcement Learning

  172. Discovering Reinforcement Learning Algorithms

  173. RL2: Fast Reinforcement Learning via Slow Reinforcement Learning

  174. One-shot Learning with Memory-Augmented Neural Networks

  175. Learning to reinforcement learn

  176. Prefrontal cortex as a meta-reinforcement learning system

  177. Matt Botvinick on the spontaneous emergence of learning algorithms

  178. Smooth markets: A basic mechanism for organizing gradient-based learners

  179. https://people.idsia.ch/~juergen/directsearch/node15.html

  180. Properties of the Bucket Brigade Algorithm

  181. Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions

  182. Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions [blog]

  183. The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning

  184. Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning

  185. Multiplicative Interactions and Where to Find Them

  186. https://pages.ucsd.edu/~rbelew/courses/cogs184_w10/readings/HintonNowlan97.pdf

  187. Embodied intelligence via learning and evolution

  188. The Philosophers' Magazine

  189. The Itch

  190. Why the Law of Effect Will Not Go Away

  191. If Brains Are Computers, What Kind of Computers Are They? (Dennett Transcript)

  192. Life’s Information Hierarchy: The explanation for the complex, multi-scale structure of biological and social systems lies in their manipulation of space and time to reduce uncertainty about the future

  193. Survival of the Systems

  194. Cancer across the tree of life: cooperation and cheating in multicellularity

  195. Evolutionary Game Theory

  196. Nociceptive Sensitization Reduces Predation Risk

  197. The structure of genotype-phenotype maps makes fitness landscapes navigable

  198. The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks

  199. Wanting vs Liking

  200. Why has evolution not selected for perfect self-control?

  201. The Temporal Dynamics of Opportunity Costs: A Normative Account of Cognitive Fatigue and Boredom

  202. Key Questions about Artificial Sentience: an Opinionated Guide

  203. Why Do We Undervalue Competent Management?

  204. Antitrust As Allocator of Coordination Rights

  205. The Gervais Principle

  206. In The Eternal Inferno, Fiends Torment Ronald Coase With The Fate Of His Ideas

  207. Socialist Fantasies

  208. Charging Employees for Conference Rooms Helps Disco Boost Profit

  209. {M|Im|Am}oral Mazes—Any Large-Scale Counterexamples?

  210. Has dynamic programming improved decision making?

  211. When Hindsight Isn’t 20/20: Incentive Design With Imperfect Credit Allocation

  212. What Do Executives Do, Anyway?

  213. CEOs Don’t Steer

  214. https://www.cold-takes.com/nonprofit-boards-are-weird-2/

  215. Dan Luu on "You Can Only Communicate One Top Priority"

  216. https://www.ribbonfarm.com/2009/10/07/the-gervais-principle-or-the-office-according-to-the-office/

  217. AGI Will Drastically Increase Economies of Scale

  218. On the feasibility of technosocialism

  219. Scaling Organizations Means Choosing What's a Rounding Error

  220. Founder Mode

  221. The Goddess of Everything Else

  222. Large Teams Develop and Small Teams Disrupt Science and Technology

  223. A Research Note on Deriving the Square-Cube Law of Formal Organizations from the Theory of Time-Minimization

  224. ‘end-to-end’ directory

  225. My History With Forth & Stack Machines

  226. Co-dfns: A data parallel compiler hosted on the GPU § 2.1.4 Idiomatic APL

  227. The Lisp Curse

  228. https://www.reddit.com/r/slatestarcodex/comments/a4d3s6/evolution_as_backstop_for_reinforcement_learning/

  229. https://news.ycombinator.com/item?id=23459056

  230. Structured Programming with go to Statements

  231. The Errors of TeX

  232. https://en.wikibooks.org/wiki/LaTeX/Boxes

  233. Breaking paragraphs into lines

  234. Questions and Answers with Professor Donald E. Knuth

  235. Interview with Donald Knuth

  236. Questions and Answers with Professor Donald E. Knuth § How to customize TeX

  237. Programming as Theory Building

  238. Dynamic Languages Strike Back

  239. https://www.quantamagazine.org/computer-scientist-donald-knuth-cant-stop-telling-stories-20200416/

  240. https://gigamonkeys.com/code-reading/

  241. https://numinous.productions/

  242. holy-war#bitrot

    [Transclude the forward-link's context]

  243. Software Engineering at Google

  244. https://cacm.acm.org/research/why-google-stores-billions-of-lines-of-code-in-a-single-repository/

  245. Big Ball of Mud

  246. Pain: The Gift No One Wants § A Poor Substitute

  247. https://www.artstation.com/rutkowski

  248. This Artist Is Dominating AI-Generated Art. And He’s Not Happy about It. Greg Rutkowski Is a More Popular Prompt Than Picasso

  249. ‘Posthaste’: History and Meaning

  250. Maxims and Reflections, by Johann Wolfgang Von Goethe

  251. Warrens, Plazas and the Edge of Legibility

  252. A Group is Its Own Worst Enemy

  253. Slowing 216.36.5.47&c=1&t=45456.4152673611

  254. The Melancholy of Subculture Society

  255. ‘The Garden and the Stream: A Technopastoral’, Mike Caulfield

  256. https://ascii.textfiles.com/archives/5509

  257. The YouTube Revolution in Knowledge Transfer

  258. Phage-Assisted Continuous Evolution

  259. Applying the Universal Scalability Law to Organisations

  260. Teams vs. Crowds: A Field Test of the Relative Contribution of Incentives, Member Ability, and Emergent Collaboration to Crowd-Based Problem Solving Performance

  261. Imitation-driven Cultural Collapse

  262. Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory

  263. ‘small groups’ directory

  264. Effective population size for culturally evolving traits

  265. ‘leaky pipelines’ directory

  266. bakewell#social-contagion

    [Transclude the forward-link's context]

  267. The simple but ingenious system Taiwan uses to crowdsource its laws: vTaiwan is a promising experiment in participatory governance. But politics is blocking it from getting greater traction

  268. ROBOT9000 and #xkcd-Signal: Attacking Noise in Chat

  269. Wikipedia Bibliography:

    1. The Nature of the Firm  :

    2. Socialist calculation debate

    3. Economic planning  :

    4. Linear programming

    5. Leonid Kantorovich  :

    6. Whither Socialism?  :

    7. Mechanism design

    8. Infinite in All Directions

    9. Prediction market

    10. Price equation

    11. Group selection § Multilevel selection theory  :

    12. Genetic drift

    13. Philip E. Tetlock

    14. Nixtamalization  :

    15. Cassava § Potential toxicity  :

    16. Paclitaxel

    17. Irinotecan  :

    18. Rubitecan  :

    19. Artemisinin  :

    20. Tu Youyou  :

    21. Bioprospecting  :

    22. E. O. Wilson

    23. Strict liability  :

    24. Partnership § Partner compensation  :

    25. Profit sharing  :

    26. Gaussian process

    27. Inverted pendulum

    28. Willard Van Orman Quine  :

    29. Baldwin effect

    30. Karl Popper

    31. Particle filter

    32. Approximate Bayesian computation

    33. Thompson sampling

    34. Stochastic gradient descent

    35. Variational Bayesian methods

    36. Finite difference

    37. John C. Baez  :

    38. Information geometry

    39. Goodhart’s law

    40. Thomas Carlyle

    41. New Economic Policy  :

    42. Catch-22

    43. Central governor  :

    44. Leprosy

    45. Congenital insensitivity to pain  :

    46. Pressure ulcer  :

    47. Repetitive strain injury  :

    48. Pain asymbolia

    49. Lesch–Nyhan syndrome § Self-injuring behavior  :

    50. Varicose veins

    51. Scotch bonnet  :

    52. Brandon Sanderson

    53. Lobotomy  :

    54. Anterograde amnesia

    55. Thermoception  :

    56. Anorexia mirabilis

    57. Control theory

    58. Thermoreceptor  :

    59. Central hypoventilation syndrome

    60. Jure Robič

    61. Adenosine  :

    62. Sleep § Process S  :

    63. Getting Things Done

    64. Occupational burnout  :

    65. Perseverate  :

    66. Charles Darwin

    67. On the Origin of Species

    68. Georg Wilhelm Friedrich Hegel  :

    69. Heraclitus  :

    70. Iris Murdoch

    71. The Black Prince (novel)  :

    72. Genetic load

    73. Group selection

    74. Stripe, Inc

    75. Lamaze technique  :

    76. Abulia

    77. Daniel Dennett

    78. Evolutionary game theory  :

    79. George Ainslie (psychologist)

    80. Paul Graham (programmer)

    81. The Gods of the Copybook Headings  :

    82. Charles H. Moore  :

    83. Forth (programming language)

    84. Git

    85. Lisp (programming language)

    86. Donald Knuth

    87. ALGOL

    88. Metafont

    89. MIX (abstract machine)  :

    90. MMIX

    91. The Art of Computer Programming

    92. TeX

    93. LaTeX

    94. Computer Modern

    95. Fork (software development)

    96. Literate programming

    97. Douglas Engelbart

    98. Intelligence amplification

    99. Lisp machine

    100. Emacs

    101. A Deepness in the Sky

    102. Hyperfocus

    103. Go (programming language)

    104. Stable Diffusion

    105. Goethe  :

    106. Multi-user dungeon

    107. MOO  :

    108. Usenet

    109. FAQ

    110. Gambler's ruin

    111. Fixation (population genetics)

    112. Effective population size

    113. Rule of 3 (computer programming)