Bibliography:

  1. ‘GPT’ tag

  2. ‘GPT-4 fiction’ tag

  3. ‘GPT-4 nonfiction’ tag

  4. ‘GPT-4 poetry’ tag

  5. ‘Sydney (AI)’ tag

  6. ‘DALL·E 3’ tag

  7. ‘Whisper NN’ tag

  8. The structure of the token space for large language models

  9. OpenAI begins training next AI model as it battles safety concerns: Executive appears to backtrack on start-up’s vision of building ‘superintelligence’ after exits from ‘Superalignment’ team

  10. VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?

  11. How Tech Giants Cut Corners to Harvest Data for AI: OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train their newest artificial intelligence systems

  12. Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models

  13. Using Hallucinations to Bypass GPT-4’s Filter

  14. The carbon emissions of writing and illustrating are lower for AI than for humans

  15. Altman says ChatGPT will have to evolve in ‘uncomfortable’ ways

  16. RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

  17. Gemini vs GPT-4-V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases

  18. Exploiting Novel GPT-4 APIs

  19. ByteDance is secretly using OpenAI’s tech to build a competitor

  20. Did I get Sam Altman fired from OpenAI?: Nathan’s red-teaming experience, noticing how the board was not aware of GPT-4 jailbreaks & had not even tried GPT-4 prior to its early release

  21. Did I get Sam Altman fired from OpenAI? § GPT-4-base

  22. Inside the Chaos at OpenAI: Sam Altman’s weekend of shock and drama began a year ago, with the release of ChatGPT

  23. Instruction-Following Evaluation for Large Language Models

  24. Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

  25. Holistic Analysis of Hallucination in GPT-4-V(ision): Bias and Interference Challenges

  26. Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

  27. Does GPT-4 Pass the Turing Test?

  28. The Generative AI Paradox: "What It Can Create, It May Not Understand"

  29. Interpreting Learned Feedback Patterns in Large Language Models

  30. PAIR: Jailbreaking Black Box Large Language Models in 20 Queries

  31. The Dawn of LMMs: Preliminary Explorations with GPT-4-V(ision)

  32. Summarization is (Almost) Dead

  33. Non-determinism in GPT-4 is caused by Sparse MoE

  34. Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations

  35. Large Language Models as Superpositions of Cultural Perspectives

  36. Large Language Models Understand and Can be Enhanced by Emotional Stimuli

  37. AI Is a Lot of Work: As the technology becomes ubiquitous, a vast tasker underclass is emerging—and not going anywhere

  38. Why YouTube Could Give Google an Edge in AI

  39. LTX by Broadridge Launches BondGPT™ Powered by OpenAI GPT-4

  40. LIMA: Less Is More for Alignment

  41. Tree of Thoughts (ToT): Deliberate Problem Solving with Large Language Models

  42. Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4

  43. What’s AGI, and Why Are AI Experts Skeptical? ChatGPT and other bots have revived conversations on artificial general intelligence. Scientists say algorithms won’t surpass you any time soon

  44. ChemCrow: Augmenting large-language models with chemistry tools

  45. Introducing Microsoft 365 Copilot—your copilot for work

  46. Sam Altman on What Makes Him ‘Super Nervous’ About AI: The OpenAI co-founder thinks tools like GPT-4 will be revolutionary. But he’s wary of downsides

  47. GPT-4 Technical Report

  48. GPT-4 is coming next week—and it will be multimodal, says Microsoft Germany

  49. As AI Booms, Lawmakers Struggle to Understand the Technology: Tech innovations are again racing ahead of Washington’s ability to regulate them, lawmakers and AI experts said

  50. Allen & Overy breaks the internet (and new ground) with co-pilot Harvey

  51. Context on the NVIDIA ChatGPT opportunity—and ramifications of large language model enthusiasm

  52. New Bing, and an Interview with Kevin Scott and Sam Altman About the Microsoft-OpenAI Partnership

  53. How ChatGPT Kicked Off an AI Arms Race: Even inside the company, the chatbot’s popularity has come as something of a shock

  54. Connor Leahy on Aliens, Ethics, Economics, Memetics, and Education § GPT-4

  55. OpenAI CEO Sam Altman on GPT-4: ‘people are begging to be disappointed and they will be’

  56. Microsoft Bets Big on the Creator of ChatGPT in Race to Dominate AI: As a new chatbot wows the world with its conversational talents, a resurgent tech giant is poised to reap the benefits while doubling down on a relationship with the start-up OpenAI

  57. What to Expect When You’re Expecting…GPT-4. What comes after ChatGPT? 7 predictions for 2023 § GPT-4

  58. Here’s What I Saw at an AI Hackathon: AI gossip, celebrity sightings, tech trends—and some great projects

  59. 6 New Theories About AI: Software with superpowers § GPT-4

  60. Have talked to several people who have used GPT-4, they all say it is uncanny how good it is

  61. GPT-4 Rumors From Silicon Valley: People are saying things…

  62. Stack more layers is fine as GPT-4 is about to show but there are superior routes…

  63. Chinchilla: Training Compute-Optimal Large Language Models

  64. Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

  65. Sparse is Enough in Scaling Transformers

  66. An Analysis of AI Political Preferences from a European Perspective

  67. design#future-tag-features

    [Transclude the forward-link's context]

  68. 2024-06-30-openai-chatgpt4o-systemprompt.txt

  69. https://github.com/spdustin/ChatGPT-AutoExpert/blob/main/System%20Prompts.md

  70. https://manifold.markets/group/gary-marcus-gpt4-predictions

  71. https://newsletter.pragmaticengineer.com/p/scaling-chatgpt#%C2%A7five-scaling-challenges

  72. de8235663546200800f6174df20b20cb9e48f951.html#%C2%A7five-scaling-challenges

  73. https://nostalgebraist.tumblr.com/post/705192637617127424/gpt-4-prediction-it-wont-be-very-useful

  74. 33bdfb73406c43a5ac2ec54928b0fcfe0f722654.html

  75. https://old.reddit.com/r/slatestarcodex/comments/1201v68/10word_quote_a_short_and_simple_failure_mode_of/jdjsx43/

  76. https://openai.com/blog/new-models-and-developer-products-announced-at-devday

  77. fcbd2f7452d1e5fdc9f1b03588b4796065bb8de4.html

  78. https://openai.com/form/researcher-access-program

  79. https://openai.com/pricing#fine-tuning-models

  80. https://passaglia.jp/gpt-japanese/

  81. 533f2a512ed805696771288c2e27a4f0dd3fb83e.html

  82. https://platform.openai.com/docs/guides/vision

  83. https://simonwillison.net/2023/Oct/14/multi-modal-prompt-injection/

  84. https://terrytao.wordpress.com/2023/06/19/ai-anthology/#comment-678803

  85. 32ca743b892d3fff281c955b26ff70ff86cecd85.html#comment-678803

  86. https://www.lesswrong.com/posts/DaaFce3hBoEzYhdvz/how-well-did-manifold-predict-gpt-4

  87. https://www.lesswrong.com/posts/nxhXTfsAf2LTg4xvt/artefacts-generated-by-mode-collapse-in-gpt-4-turbo-serve-as

  88. https://www.lesswrong.com/posts/qdStMFDMrWAnTqNWL/gpt-4-predictions

  89. https://www.lesswrong.com/posts/sY3a4Rfa48CgteBEm/chatgpt-can-learn-indirect-control

  90. 149e0b85a156eeb708a4da09b8416d59170e30ac.html

  91. https://www.lesswrong.com/posts/t9qvdjY5385MbzoYp/chatgpt-4-solved-all-the-gotcha-problems-i-posed-that

  92. https://www.lesswrong.com/posts/t9svvNPNmFf5Qa3TA/mysteries-of-mode-collapse#pfHTedu4GKaWoxD5K

  93. https://www.lesswrong.com/posts/tbJdxJMAiehewGpq2/impressions-from-base-gpt-4

  94. https://www.lesswrong.com/posts/tt7WtqiEyEiLmAecZ/what-will-gpt-4-be-incapable-of

  95. https://www.linkedin.com/pulse/building-new-bing-jordi-ribas/

  96. ed92f42ee2ff3e2e644c882ae9381d924c65526b.html

  97. https://www.metaculus.com/questions/14305/when-will-gpt-4-be-announced/

  98. https://www.reddit.com/r/singularity/comments/1dmap17/possible_timelines_for_gpt45_and_gpt5/

  99. ef1818f08b882de009e1a14abc5b989e4e640f79.html

  100. https://www.reddit.com/r/slatestarcodex/comments/1201v68/10word_quote_a_short_and_simple_failure_mode_of/jdjsx43/

  101. https://www.wired.com/story/cerebras-chip-cluster-neural-networks-ai/

  102. 06063937ace16bab7939d7f5b6ee254246ddf507.html

  103. https://www.youtube.com/watch?v=U9mJuUkhUzk

  104. https://x.com/CFGeek/status/1826749739502895618

  105. https://x.com/ChengleiSi/status/1731047065382523332

  106. https://x.com/CrisGiardina/status/1818796118773293200

  107. https://x.com/ID_AA_Carmack/status/1636043611266490368

  108. https://x.com/LouisKnightWebb/status/1724510794514157668

  109. https://x.com/MatthewJBar/status/1605328892926885888

  110. https://x.com/OfficialLoganK/status/1663934947931897857

  111. https://x.com/OpenAIDevs/status/1779922566091522492

  112. https://x.com/agikoala/status/1695125016764157988

  113. https://x.com/agishibaa/status/1770206746960601583

  114. https://x.com/charliebholtz/status/1724815159590293764

  115. https://x.com/deepfates/status/1682110624271319040

  116. https://x.com/elder_plinius/status/1778188202664169724

  117. https://x.com/emollick/status/1658698874117308417

  118. https://x.com/fortelabs/status/1734284384537333813

  119. https://x.com/gdb/status/1609244547460255744

  120. https://x.com/giffmana/status/1856993726591099066

  121. https://x.com/javilopen/status/1719363669685916095

  122. https://x.com/john__allard/status/1748140402912481537

  123. https://x.com/matthewjbar/status/1605509829555953667

  124. https://x.com/npew/status/1706356566629421429

  125. https://x.com/polynoamial/status/1676971503261454340

  126. https://x.com/repligate/status/1767002880987283801

  127. https://x.com/soumithchintala/status/1671267150101721090

  128. https://x.com/swyx/status/1722441535235768372

  129. https://x.com/transitive_bs/status/1628118163874516992

  130. https://x.com/venturetwins/status/1710321733184667985

  131. https://x.com/voooooogel/status/1730726744314069190

  132. The structure of the token space for large language models

  133. https%253A%252F%252Farxiv.org%252Fabs%252F2410.08993.html

  134. VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?

  135. https%253A%252F%252Farxiv.org%252Fabs%252F2404.05955.html

  136. How Tech Giants Cut Corners to Harvest Data for AI: OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train their newest artificial intelligence systems

  137. https://x.com/cademetz

  138. https%253A%252F%252Fwww.nytimes.com%252F2024%252F04%252F06%252Ftechnology%252Ftech-giants-harvest-data-artificial-intelligence.html.html

  139. The carbon emissions of writing and illustrating are lower for AI than for humans

  140. https%253A%252F%252Fwww.nature.com%252Farticles%252Fs41598-024-54271-x.html

  141. RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

  142. https%253A%252F%252Farxiv.org%252Fabs%252F2401.08406%2523microsoft.html

  143. Gemini vs GPT-4-V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases

  144. https%253A%252F%252Farxiv.org%252Fabs%252F2312.15011.html

  145. Did I get Sam Altman fired from OpenAI?: Nathan’s red-teaming experience, noticing how the board was not aware of GPT-4 jailbreaks & had not even tried GPT-4 prior to its early release

  146. https%253A%252F%252Fcognitiverevolution.substack.com%252Fp%252Fdid-i-get-sam-altman-fired-from-openai.html

  147. Inside the Chaos at OpenAI: Sam Altman’s weekend of shock and drama began a year ago, with the release of ChatGPT

  148. https%253A%252F%252Fwww.theatlantic.com%252Ftechnology%252Farchive%252F2023%252F11%252Fsam-altman-open-ai-chatgpt-chaos%252F676050%252F.html

  149. Holistic Analysis of Hallucination in GPT-4-V(ision): Bias and Interference Challenges

  150. https%253A%252F%252Farxiv.org%252Fabs%252F2311.03287.html

  151. PAIR: Jailbreaking Black Box Large Language Models in 20 Queries

  152. https%253A%252F%252Farxiv.org%252Fabs%252F2310.08419.html

  153. The Dawn of LMMs: Preliminary Explorations with GPT-4-V(ision)

  154. https%253A%252F%252Farxiv.org%252Fabs%252F2309.17421.html

  155. Non-determinism in GPT-4 is caused by Sparse MoE

  156. https%253A%252F%252F152334h.github.io%252Fblog%252Fnon-determinism-in-gpt-4%252F.html

  157. Large Language Models as Superpositions of Cultural Perspectives

  158. https%253A%252F%252Farxiv.org%252Fabs%252F2307.07870.html

  159. Large Language Models Understand and Can be Enhanced by Emotional Stimuli

  160. https%253A%252F%252Farxiv.org%252Fabs%252F2307.11760%2523microsoft.html

  161. AI Is a Lot of Work: As the technology becomes ubiquitous, a vast tasker underclass is emerging—and not going anywhere

  162. https%253A%252F%252Fwww.theverge.com%252Ffeatures%252F23764584%252Fai-artificial-intelligence-data-notation-labor-scale-surge-remotasks-openai-chatbots.html

  163. Why YouTube Could Give Google an Edge in AI

  164. https%253A%252F%252Fwww.theinformation.com%252Farticles%252Fwhy-youtube-could-give-google-an-edge-in-ai.html

  165. Tree of Thoughts (ToT): Deliberate Problem Solving with Large Language Models

  166. https%253A%252F%252Farxiv.org%252Fabs%252F2305.10601%2523deepmind.html

  167. What’s AGI, and Why Are AI Experts Skeptical? ChatGPT and other bots have revived conversations on artificial general intelligence. Scientists say algorithms won’t surpass you any time soon

  168. https%253A%252F%252Fwww.wired.com%252Fstory%252Fwhat-is-artificial-general-intelligence-agi-explained%252F.html

  169. Introducing Microsoft 365 Copilot—your copilot for work

  170. https%253A%252F%252Fblogs.microsoft.com%252Fblog%252F2023%252F03%252F16%252Fintroducing-microsoft-365-copilot-your-copilot-for-work%252F.html

  171. Sam Altman on What Makes Him ‘Super Nervous’ About AI: The OpenAI co-founder thinks tools like GPT-4 will be revolutionary. But he’s wary of downsides

  172. https%253A%252F%252Fnymag.com%252Fintelligencer%252F2023%252F03%252Fon-with-kara-swisher-sam-altman-on-the-ai-revolution.html.html

  173. GPT-4 is coming next week—and it will be multimodal, says Microsoft Germany

  174. https%253A%252F%252Fwww.heise.de%252Fnews%252FGPT-4-is-coming-next-week-and-it-will-be-multimodal-says-Microsoft-Germany-7540972.html.html

  175. As AI Booms, Lawmakers Struggle to Understand the Technology: Tech innovations are again racing ahead of Washington’s ability to regulate them, lawmakers and AI experts said

  176. https%253A%252F%252Fwww.nytimes.com%252F2023%252F03%252F03%252Ftechnology%252Fartificial-intelligence-regulation-congress.html.html

  177. Allen & Overy breaks the internet (and new ground) with co-pilot Harvey

  178. https%253A%252F%252Flegaltechnology.com%252F2023%252F02%252F16%252Fallen-overy-breaks-the-internet-and-new-ground-with-co-pilot-harvey%252F.html

  179. Context on the NVIDIA ChatGPT opportunity—and ramifications of large language model enthusiasm

  180. https%253A%252F%252Fx.com%252Fdavidtayar5%252Fstatus%252F1627690520456691712.html

  181. New Bing, and an Interview with Kevin Scott and Sam Altman About the Microsoft-OpenAI Partnership

  182. https%253A%252F%252Fstratechery.com%252F2023%252Fnew-bing-and-an-interview-with-kevin-scott-and-sam-altman-about-the-microsoft-openai-partnership%252F.html

  183. How ChatGPT Kicked Off an AI Arms Race: Even inside the company, the chatbot’s popularity has come as something of a shock

  184. https%253A%252F%252Fwww.nytimes.com%252F2023%252F02%252F03%252Ftechnology%252Fchatgpt-openai-artificial-intelligence.html.html

  185. OpenAI CEO Sam Altman on GPT-4: ‘people are begging to be disappointed and they will be’

  186. https%253A%252F%252Fwww.theverge.com%252F23560328%252Fopenai-gpt-4-rumor-release-date-sam-altman-interview.html

  187. Microsoft Bets Big on the Creator of ChatGPT in Race to Dominate AI: As a new chatbot wows the world with its conversational talents, a resurgent tech giant is poised to reap the benefits while doubling down on a relationship with the start-up OpenAI

  188. https://x.com/cademetz

  189. https%253A%252F%252Fwww.nytimes.com%252F2023%252F01%252F12%252Ftechnology%252Fmicrosoft-openai-chatgpt.html.html

  190. What to Expect When You’re Expecting…GPT-4. What comes after ChatGPT? 7 predictions for 2023 § GPT-4

  191. https%253A%252F%252Fgarymarcus.substack.com%252Fp%252Fwhat-to-expect-when-youre-expecting.html

  192. Here’s What I Saw at an AI Hackathon: AI gossip, celebrity sightings, tech trends—and some great projects

  193. https%253A%252F%252Fevery.to%252Fchain-of-thought%252Fthe-knee-of-the-exponential-curve.html

  194. GPT-4 Rumors From Silicon Valley: People are saying things…

  195. https%253A%252F%252Fwww.thealgorithmicbridge.com%252Fp%252Fgpt-4-rumors-from-silicon-valley.html

  196. Stack more layers is fine as GPT-4 is about to show but there are superior routes…

  197. https%253A%252F%252Fx.com%252FEMostaque%252Fstatus%252F1563715319566409729.html

  198. Chinchilla: Training Compute-Optimal Large Language Models

  199. Karen Simonyan

  200. https%253A%252F%252Farxiv.org%252Fabs%252F2203.15556%2523deepmind.html

  201. Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

  202. Jianfeng Gao at Microsoft Research

  203. https%253A%252F%252Farxiv.org%252Fabs%252F2203.03466%2523microsoft.html

  204. Sparse is Enough in Scaling Transformers

  205. Łukasz Kaiser

  206. https%253A%252F%252Farxiv.org%252Fabs%252F2111.12763%2523google.html