Bibliography (117):

  1. Gwern.net newsletter (Substack subscription page)

  2. ​ June 2021 News

  3. ​ ‘newsletter’ directory

  4. ​ Changelog

  5. Gwern Branwen Creating Essays on Gwern.net

  6. ​ CO2 Coin: Decentralized Carbon Capture Blockchains

  7. https://www.nature.com/articles/s41586-021-03819-2#deepmind

  8. Open Source Code for AlphaFold

  9. SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II

  10. Predictive Coding: a Theoretical and Experimental Review

  11. ETA Prediction with Graph Neural Networks in Google Maps

  12. Oral History Interview with Terry Allen Winograd (OH #237) § SHRDLU

  13. Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc

  14. Where’s the AI?

  15. ML Scaling subreddit

  16. CT0: Fine-tuned Language Models are Continual Learners

  17. Building Machine Translation Systems for the Next Thousand Languages

  18. Scaling Vision Transformers

  19. Scaling Laws for Acoustic Models

  20. NaturalProver: Grounded Mathematical Proof Generation with Language Models

  21. CPM-2: Large-scale Cost-effective Pre-trained Language Models

  22. Deep Neural Networks and Tabular Data: A Survey

  23. Well-tuned Simple Nets Excel on Tabular Datasets

  24. Revisiting Deep Learning Models for Tabular Data

  25. SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

  26. TAPEX: Table Pre-training via Learning a Neural SQL Executor

  27. Hopular: Modern Hopfield Networks for Tabular Data

  28. ​ ‘MLP NN’ directory

  29. A Low-latency Communication Design for Brain Simulations

  30. https://uploads-ssl.webflow.com/60fd4503684b466578c0d307/61138924626a6981ee09caf6_jurassic_tech_paper.pdf#ai21

  31. Announcing AI21 Studio and Jurassic-1 Language Models

  32. Discover Use Cases for AI21 Studio and Jurassic-1

  33. 48:44—Tesla Vision • 1:13:12—Planning and Control • 1:24:35—Manual Labeling • 1:28:11—Auto Labeling • 1:35:15—Simulation • 1:42:10—Hardware Integration • 1:45:40—Dojo

  34. https://www.semianalysis.com/p/tesla-dojo-unique-packaging-and-chip/

  35. https://www.semianalysis.com/p/the-tesla-dojo-chip-is-impressive

  36. A Global Nucleic Acid Observatory for Biodefense and Planetary Health

  37. https://x.com/kesvelt/status/1423691785914654720

  38. Genomic evidence consistent with antagonistic pleiotropy may help explain the evolutionary maintenance of same-sex sexual behavior in humans

  39. Complex feline disease mapping using a dense genotyping array

  40. Using DNA to predict behavior problems from preschool to adulthood

  41. Identification of 370 genetic loci for age at first sex and birth linked to externalizing behavior

  42. 25 years of selection for improved leg health in purebred broiler lines and underlying genetic parameters

  43. De novo evolution of macroscopic multicellularity

  44. https://x.com/wc_ratcliff/status/1423359901766602755

  45. Gene-drive suppression of mosquito populations in large cages as a bridge between lab and field

  46. Generation of ovarian follicles from mouse pluripotent stem cells

  47. Successful Serial Recloning in the Mouse over Multiple Generations

  48. RNA demethylation increases the yield and biomass of rice and potato plants in field trials

  49. Three Months in Monte Carlo

  50. John W. Tukey: His Life and Professional Contributions

  51. Causal and Associational Linking Language From Observational Research and Health Evaluation Literature in Practice: A systematic language evaluation

  52. Causal Language Study Is Now up on MedRxiv! Https://medrxiv.org/content/10.1101/2021.08.25.21262631 Ever Wondered What Words Are Commonly Used to Link Exposures and Outcomes in Health/med/epi Studies? How Strongly Language Implies Causality? How Strongly Studies Hint at Causality in Other Ways? READ ON!…When Reviewers Extracted and Rated the Causal Implication of the Linking Sentences/phrases, We Found That the Vast Majority of Sentences in Context Implied Causality at Least Weakly (Meaning Lots of Room for Doubt), but Little Strongly…About 1⁄3 of Abstracts Contained Action Recommendations (‘More Research’ Doesn’t Count Here). Of Those That Did, the Action Recommendations Tended To, Again, Imply Causality Moderately or Strongly (Strongly Meaning No Room for Doubt).

  53. https://www.itscomputers.lol/archimedes-cattle-problem

  54. MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits

  55. ​ Variance Components Beyond Genetics

  56. The Dark Side of Private Ordering: An Institutional and Empirical Analysis of Organized Crime

  57. ‘He who pays the piper calls the tune’: Researcher experiences of funder suppression of health behavior intervention trial findings

  58. High-throughput mapping of a whole rhesus monkey brain at micrometer resolution

  59. Principles of Cryopreservation by Vitrification

  60. Intelligence, health and death

  61. Genetic and environmental contributions to IQ in adoptive and biological families with 30-year-old offspring

  62. Parent Contributions to the Development of Political Attitudes in Adoptive and Biological Families

  63. Toxoplasmosis: Recent Advances in Understanding the Link Between Infection and Host Behavior

  64. Cognitive Behavior Therapy for Depression From an Evolutionary Perspective

  65. A Chemical Hunger – Part I: Mysteries

  66. Energetic Aliens

  67. Steps of Reasoning in Children and Adolescents

  68. Male Chimpanzees Prefer Mating with Old Females

  69. ​ ‘end-to-end’ directory

  70. Don't Shave That Yak!

  71. Analysis of World Records in Speedrunning [LINKPOST]

  72. Engineering In-place (Shared-memory) Sorting Algorithms

  73. Win-win denial: The psychological underpinnings of zero-sum thinking

  74. The economic value of targeting aging

  75. Two Blades of Grass: The Impact of the Green Revolution

  76. TV Advertising Effectiveness and Profitability: Generalizable Results From 288 Brands

  77. Flash Boys 2.0: Frontrunning in Decentralized Exchanges, Miner Extractable Value, and Consensus Instability

  78. A Whirlwind Tour of Ethereum Finance

  79. Tales from Prediction Markets

  80. Ethereum Is a Dark Forest

  81. So This One Is Interesting! A Bot Has Been Backrunning New Token Listings, Effectively Paying Premium to Miners to Buy Newly Listed Tokens Before Anyone Else Can. And a New Token Fought Back Yesterday, Trapping the Bot for $200k While Benefiting from Their Buy. Here’s How.

  82. WhaleFarm Crash Is Latest Too-Good-To-Be True DeFi Collapse; Exit Scams Known As Rug Pulls Are Becoming More Prevalent; DeFi Pulse Index Is down More Than 50% from Recent High

  83. Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact

  84. A Guide to Designing Effective NFT Launches

  85. A Glimpse of the Deep: Finding a Creature in Ethereum's Dark Forest

  86. Buddhist Animal Release Practices: Historic, Environmental, Public Health And Economic Concerns

  87. Survey of subjective ‘God encounter experiences’: Comparisons among naturally occurring experiences and those occasioned by the classic psychedelics psilocybin, LSD, ayahuasca, or DMT

  88. Emotionally Numb: Expertise Dulls Consumer Experience

  89. https://www.royalroad.com/fiction/35125/avaunt

  90. https://www.amazon.com/Great-Successor-Divinely-Perfect-Brilliant/dp/1541742486

  91. ​ 02#the-green-knight

    [Transclude the forward-link's context]

  92. ​ Review of Space Battleship Yamato

  93. Wikipedia Bibliography:

    1. Neural scaling law  :

      https://en.wikipedia.org/wiki/Neural_scaling_law

    2. Virophage  :

      https://en.wikipedia.org/wiki/Virophage

    3. Hyperparasite  :

      https://en.wikipedia.org/wiki/Hyperparasite

    4. Archimedes's cattle problem  :

      https://en.wikipedia.org/wiki/Archimedes%27s_cattle_problem

    5. Ulam spiral  :

      https://en.wikipedia.org/wiki/Ulam_spiral

    6. Tama-Re  :

      https://en.wikipedia.org/wiki/Tama-Re

    7. Piaget's theory of cognitive development

    8. Space gun  :

      https://en.wikipedia.org/wiki/Space_gun

    9. Solid-propellant rocket § Orbital rockets  :

      https://en.wikipedia.org/wiki/Solid-propellant_rocket#Orbital_rockets

    10. Project HARP  :

      https://en.wikipedia.org/wiki/Project_HARP

    11. Edgar Sengier § Manhattan Project  :

      https://en.wikipedia.org/wiki/Edgar_Sengier#Manhattan_Project

    12. XY problem  :

      https://en.wikipedia.org/wiki/XY_problem

    13. Everything2 § Soft links  :

      https://en.wikipedia.org/wiki/Everything2#Soft_links

    14. Rick Cook (writer)  :

      https://en.wikipedia.org/wiki/Rick_Cook_(writer)

    15. Glen Cook  :

      https://en.wikipedia.org/wiki/Glen_Cook

    16. Hyperart Thomasson  :

      https://en.wikipedia.org/wiki/Hyperart_Thomasson

    17. Kim Jong Un  :

      https://en.wikipedia.org/wiki/Kim_Jong_Un

    18. North Korea  :

      https://en.wikipedia.org/wiki/North_Korea

    19. Kim Il Sung

    20. Kim Jong Il

    21. Kim Jong-nam  :

      https://en.wikipedia.org/wiki/Kim_Jong-nam

    22. Kim Yo Jong  :

      https://en.wikipedia.org/wiki/Kim_Yo_Jong

    23. Jang Song-thaek  :

      https://en.wikipedia.org/wiki/Jang_Song-thaek

    24. The Green Knight (film)  :

      https://en.wikipedia.org/wiki/The_Green_Knight_(film)

    25. Space Battleship Yamato