- See Also
-
Links
- “The Inside Story of Microsoft’s Partnership With OpenAI: The Companies Had Honed a Protocol for Releasing Artificial Intelligence Ambitiously but Safely. Then OpenAI’s Board Exploded All Their Carefully Laid Plans”, Duhigg 2023
- “Did I Get Sam Altman Fired from OpenAI? § GPT-4-base”, Labenz 2023
- “Did I Get Sam Altman Fired from OpenAI?: Nathan’s Redteaming Experience, Noticing How the Board Was Not Aware of GPT-4 Jailbreaks & Had Not Even Tried GPT-4 prior to Its Early Release”, Labenz 2023
- “Inside the Chaos at OpenAI: Sam Altman’s Weekend of Shock and Drama Began a Year Ago, With the Release of ChatGPT”, Hao & Warzel 2023
- “Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation”, Shah et al 2023
- “Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges”, Cui et al 2023
- “The Generative AI Paradox: "What It Can Create, It May Not Understand"”, West et al 2023
- “Summarization Is (Almost) Dead”, Pu et al 2023
- “Large Language Models As Superpositions of Cultural Perspectives”, Kovač et al 2023
- “Large Language Models Understand and Can Be Enhanced by Emotional Stimuli”, Li et al 2023
- “AI Is a Lot of Work: As the Technology Becomes Ubiquitous, a Vast Tasker Underclass Is Emerging—and Not Going Anywhere”, Dzieza 2023
- “Why YouTube Could Give Google an Edge in AI”, Victor 2023
- “Microsoft and OpenAI Forge Awkward Partnership As Tech’s New Power Couple: As the Companies Lead the AI Boom, Their Unconventional Arrangement Sometimes Causes Conflict”, Dotan & Seetharaman 2023
- “LTX by Broadridge Launches BondGPT™ Powered by OpenAI GPT-4”, Inc 2023
- “LIMA: Less Is More for Alignment”, Zhou et al 2023
- “Tree of Thoughts (ToT): Deliberate Problem Solving With Large Language Models”, Yao et al 2023
- “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”, Rogers 2023
- “ChemCrow: Augmenting Large-language Models With Chemistry Tools”, Bran et al 2023
- “Introducing Microsoft 365 Copilot—your Copilot for Work”, Spataro 2023
- “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”, Swisher 2023
- “GPT-4 Technical Report”, OpenAI 2023
- “GPT-4 Is Coming next Week—and It Will Be Multimodal, Says Microsoft Germany”, Hahn 2023
- “As A.I. Booms, Lawmakers Struggle to Understand the Technology: Tech Innovations Are Again Racing ahead of Washington’s Ability to Regulate Them, Lawmakers and A.I. Experts Said”, Kang & Satariano 2023
- “Allen & Overy Breaks the Internet (and New Ground) With Co-pilot Harvey”, Hill 2023
- davidtayar5 @ "2023-02-10"
- “New Bing, and an Interview With Kevin Scott and Sam Altman About the Microsoft-OpenAI Partnership”, Thompson 2023
- “Microsoft Thinks AI Can Beat Google at Search—CEO Satya Nadella Explains Why: AI Is Coming for Your Browser, Your Social Media, and Your Operating System, Too”, Patel 2023
- “How ChatGPT Kicked Off an A.I. Arms Race: Even inside the Company, the Chatbot’s Popularity Has Come As Something of a Shock”, Roose 2023
- “Connor Leahy on Aliens, Ethics, Economics, Memetics, and Education § GPT-4”, Leahy 2023
- “OpenAI CEO Sam Altman on GPT-4: ‘people Are Begging to Be Disappointed and They Will Be’”, Vincent 2023
- “Microsoft Bets Big on the Creator of ChatGPT in Race to Dominate A.I.: 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”, Metz & Weise 2023
- “What to Expect When You’re Expecting…GPT-4. What Comes After ChatGPT? 7 Predictions for 2023 § GPT-4”, Marcus 2022
- “Here’s What I Saw at an AI Hackathon: AI Gossip, Celebrity Sightings, Tech Trends—and Some Great Projects”, Shipper 2022
- immad @ "2022-11-22"
- “6 New Theories About AI: Software With Superpowers § GPT-4”, Armstrong 2022
- “GPT-4 Rumors From Silicon Valley: People Are Saying Things...”, Romero 2022
- EMostaque @ "2022-08-27"
- “Chinchilla: Training Compute-Optimal Large Language Models”, Hoffmann et al 2022
- “Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer”, Yang et al 2022
- “Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer”, Yang et al 2022
- “Sparse Is Enough in Scaling Transformers”, Jaszczur et al 2021
- Sort By Magic
- Miscellaneous
- Link Bibliography
See Also
Links
“The Inside Story of Microsoft’s Partnership With OpenAI: The Companies Had Honed a Protocol for Releasing Artificial Intelligence Ambitiously but Safely. Then OpenAI’s Board Exploded All Their Carefully Laid Plans”, Duhigg 2023
“Did I Get Sam Altman Fired from OpenAI? § GPT-4-base”, Labenz 2023
“Did I Get Sam Altman Fired from OpenAI?: Nathan’s Redteaming Experience, Noticing How the Board Was Not Aware of GPT-4 Jailbreaks & Had Not Even Tried GPT-4 prior to Its Early Release”, Labenz 2023
“Inside the Chaos at OpenAI: Sam Altman’s Weekend of Shock and Drama Began a Year Ago, With the Release of ChatGPT”, Hao & Warzel 2023
“Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation”, Shah et al 2023
“Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation”
“Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges”, Cui et al 2023
“Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges”
“The Generative AI Paradox: "What It Can Create, It May Not Understand"”, West et al 2023
“The Generative AI Paradox: "What It Can Create, It May Not Understand"”
“Summarization Is (Almost) Dead”, Pu et al 2023
“Large Language Models As Superpositions of Cultural Perspectives”, Kovač et al 2023
“Large Language Models as Superpositions of Cultural Perspectives”
“Large Language Models Understand and Can Be Enhanced by Emotional Stimuli”, Li et al 2023
“Large Language Models Understand and Can be Enhanced by Emotional Stimuli”
“AI Is a Lot of Work: As the Technology Becomes Ubiquitous, a Vast Tasker Underclass Is Emerging—and Not Going Anywhere”, Dzieza 2023
“Why YouTube Could Give Google an Edge in AI”, Victor 2023
“Microsoft and OpenAI Forge Awkward Partnership As Tech’s New Power Couple: As the Companies Lead the AI Boom, Their Unconventional Arrangement Sometimes Causes Conflict”, Dotan & Seetharaman 2023
“LTX by Broadridge Launches BondGPT™ Powered by OpenAI GPT-4”, Inc 2023
“LTX by Broadridge Launches BondGPT™ Powered by OpenAI GPT-4”
“LIMA: Less Is More for Alignment”, Zhou et al 2023
“Tree of Thoughts (ToT): Deliberate Problem Solving With Large Language Models”, Yao et al 2023
“Tree of Thoughts (ToT): Deliberate Problem Solving with Large Language Models”
“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”, Rogers 2023
“ChemCrow: Augmenting Large-language Models With Chemistry Tools”, Bran et al 2023
“ChemCrow: Augmenting large-language models with chemistry tools”
“Introducing Microsoft 365 Copilot—your Copilot for Work”, Spataro 2023
“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”, Swisher 2023
“GPT-4 Technical Report”, OpenAI 2023
“GPT-4 Is Coming next Week—and It Will Be Multimodal, Says Microsoft Germany”, Hahn 2023
“GPT-4 is coming next week—and it will be multimodal, says Microsoft Germany”
“As A.I. Booms, Lawmakers Struggle to Understand the Technology: Tech Innovations Are Again Racing ahead of Washington’s Ability to Regulate Them, Lawmakers and A.I. Experts Said”, Kang & Satariano 2023
“Allen & Overy Breaks the Internet (and New Ground) With Co-pilot Harvey”, Hill 2023
“Allen & Overy breaks the internet (and new ground) with co-pilot Harvey”
davidtayar5 @ "2023-02-10"
“Context on the NVIDIA ChatGPT opportunity—and ramifications of large language model enthusiasm”
“New Bing, and an Interview With Kevin Scott and Sam Altman About the Microsoft-OpenAI Partnership”, Thompson 2023
“New Bing, and an Interview with Kevin Scott and Sam Altman About the Microsoft-OpenAI Partnership”
“Microsoft Thinks AI Can Beat Google at Search—CEO Satya Nadella Explains Why: AI Is Coming for Your Browser, Your Social Media, and Your Operating System, Too”, Patel 2023
“How ChatGPT Kicked Off an A.I. Arms Race: Even inside the Company, the Chatbot’s Popularity Has Come As Something of a Shock”, Roose 2023
“Connor Leahy on Aliens, Ethics, Economics, Memetics, and Education § GPT-4”, Leahy 2023
“Connor Leahy on Aliens, Ethics, Economics, Memetics, and Education § GPT-4”
“OpenAI CEO Sam Altman on GPT-4: ‘people Are Begging to Be Disappointed and They Will Be’”, Vincent 2023
“OpenAI CEO Sam Altman on GPT-4: ‘people are begging to be disappointed and they will be’”
“Microsoft Bets Big on the Creator of ChatGPT in Race to Dominate A.I.: 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”, Metz & Weise 2023
“What to Expect When You’re Expecting…GPT-4. What Comes After ChatGPT? 7 Predictions for 2023 § GPT-4”, Marcus 2022
“Here’s What I Saw at an AI Hackathon: AI Gossip, Celebrity Sightings, Tech Trends—and Some Great Projects”, Shipper 2022
immad @ "2022-11-22"
“Have talked to several people who have used GPT-4, they all say it is uncanny how good it is”
“6 New Theories About AI: Software With Superpowers § GPT-4”, Armstrong 2022
“6 New Theories About AI: Software with superpowers § GPT-4”
“GPT-4 Rumors From Silicon Valley: People Are Saying Things...”, Romero 2022
“GPT-4 Rumors From Silicon Valley: People are saying things...”
EMostaque @ "2022-08-27"
“Stack more layers is fine as GPT-4 is about to show but there are superior routes…”
“Chinchilla: Training Compute-Optimal Large Language Models”, Hoffmann et al 2022
“Chinchilla: Training Compute-Optimal Large Language Models”
“Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer”, Yang et al 2022
“Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer”
“Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer”, Yang et al 2022
“Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer”
“Sparse Is Enough in Scaling Transformers”, Jaszczur et al 2021
Sort By Magic
Annotations sorted by machine learning into inferred 'tags'. This provides an alternative way to browse: instead of by date order, one can browse in topic order. The 'sorted' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.
Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
languagemodels
zeroshot-tuning
gpt4-updates
Miscellaneous
-
https://github.com/spdustin/ChatGPT-AutoExpert/blob/main/System%20Prompts.md
-
https://nostalgebraist.tumblr.com/post/705192637617127424/gpt-4-prediction-it-wont-be-very-useful
-
https://openai.com/blog/new-models-and-developer-products-announced-at-devday
-
https://simonwillison.net/2023/Oct/14/multi-modal-prompt-injection/
-
https://terrytao.wordpress.com/2023/06/19/ai-anthology/#comment-678803
-
https://twitter.com/ID_AA_Carmack/status/1636043611266490368
-
https://twitter.com/LouisKnightWebb/status/1724510794514157668
-
https://twitter.com/OfficialLoganK/status/1663934947931897857
-
https://twitter.com/charliebholtz/status/1724815159590293764
-
https://twitter.com/soumithchintala/status/1671267150101721090
-
https://twitter.com/transitive_bs/status/1628118163874516992
-
https://www.lesswrong.com/posts/DaaFce3hBoEzYhdvz/how-well-did-manifold-predict-gpt-4
-
https://www.lesswrong.com/posts/qdStMFDMrWAnTqNWL/gpt-4-predictions
-
https://www.lesswrong.com/posts/tbJdxJMAiehewGpq2/impressions-from-base-gpt-4
-
https://www.lesswrong.com/posts/tt7WtqiEyEiLmAecZ/what-will-gpt-4-be-incapable-of
-
https://www.metaculus.com/questions/14305/when-will-gpt-4-be-announced/
-
https://www.wired.com/story/cerebras-chip-cluster-neural-networks-ai/
Link Bibliography
-
https://www.newyorker.com/magazine/2023/12/11/the-inside-story-of-microsofts-partnership-with-openai
: “The Inside Story of Microsoft’s Partnership With OpenAI: The Companies Had Honed a Protocol for Releasing Artificial Intelligence Ambitiously but Safely. Then OpenAI’s Board Exploded All Their Carefully Laid Plans”, Charles Duhigg -
https://cognitiverevolution.substack.com/p/did-i-get-sam-altman-fired-from-openai
: “Did I Get Sam Altman Fired from OpenAI?: Nathan’s Redteaming Experience, Noticing How the Board Was Not Aware of GPT-4 Jailbreaks & Had Not Even Tried GPT-4 prior to Its Early Release”, Nathan Labenz -
https://www.theatlantic.com/technology/archive/2023/11/sam-altman-open-ai-chatgpt-chaos/676050/
: “Inside the Chaos at OpenAI: Sam Altman’s Weekend of Shock and Drama Began a Year Ago, With the Release of ChatGPT”, Karen Hao, Charlie Warzel -
https://arxiv.org/abs/2307.11760#microsoft
: “Large Language Models Understand and Can Be Enhanced by Emotional Stimuli”, Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie -
https://www.theverge.com/features/23764584/ai-artificial-intelligence-data-notation-labor-scale-surge-remotasks-openai-chatbots
: “AI Is a Lot of Work: As the Technology Becomes Ubiquitous, a Vast Tasker Underclass Is Emerging—and Not Going Anywhere”, Josh Dzieza -
https://www.theinformation.com/articles/why-youtube-could-give-google-an-edge-in-ai
: “Why YouTube Could Give Google an Edge in AI”, Jon Victor -
https://www.wsj.com/articles/microsoft-and-openai-forge-awkward-partnership-as-techs-new-power-couple-3092de51
: “Microsoft and OpenAI Forge Awkward Partnership As Tech’s New Power Couple: As the Companies Lead the AI Boom, Their Unconventional Arrangement Sometimes Causes Conflict”, Tom Dotan, Deepa Seetharaman -
https://arxiv.org/abs/2305.10601#deepmind
: “Tree of Thoughts (ToT): Deliberate Problem Solving With Large Language Models”, Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan -
https://www.wired.com/story/what-is-artificial-general-intelligence-agi-explained/
: “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”, Reece Rogers -
https://blogs.microsoft.com/blog/2023/03/16/introducing-microsoft-365-copilot-your-copilot-for-work/
: “Introducing Microsoft 365 Copilot—your Copilot for Work”, Jared Spataro -
https://nymag.com/intelligencer/2023/03/on-with-kara-swisher-sam-altman-on-the-ai-revolution.html
: “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”, Kara Swisher -
https://www.heise.de/news/GPT-4-is-coming-next-week-and-it-will-be-multimodal-says-Microsoft-Germany-7540972.html
: “GPT-4 Is Coming next Week—and It Will Be Multimodal, Says Microsoft Germany”, Silke Hahn -
https://www.nytimes.com/2023/03/03/technology/artificial-intelligence-regulation-congress.html
: “As A.I. Booms, Lawmakers Struggle to Understand the Technology: Tech Innovations Are Again Racing ahead of Washington’s Ability to Regulate Them, Lawmakers and A.I. Experts Said”, Cecila Kang, Adam Satariano -
https://legaltechnology.com/2023/02/16/allen-overy-breaks-the-internet-and-new-ground-with-co-pilot-harvey/
: “Allen & Overy Breaks the Internet (and New Ground) With Co-pilot Harvey”, Caroline Hill -
https://twitter.com/davidtayar5/status/1627690520456691712
: “Context on the NVIDIA ChatGPT Opportunity—and Ramifications of Large Language Model Enthusiasm”, Morgan Stanley -
https://stratechery.com/2023/new-bing-and-an-interview-with-kevin-scott-and-sam-altman-about-the-microsoft-openai-partnership/
: “New Bing, and an Interview With Kevin Scott and Sam Altman About the Microsoft-OpenAI Partnership”, Ben Thompson -
https://www.theverge.com/23589994/microsoft-ceo-satya-nadella-bing-chatgpt-google-search-ai
: “Microsoft Thinks AI Can Beat Google at Search—CEO Satya Nadella Explains Why: AI Is Coming for Your Browser, Your Social Media, and Your Operating System, Too”, Nilay Patel -
https://www.nytimes.com/2023/02/03/technology/chatgpt-openai-artificial-intelligence.html
: “How ChatGPT Kicked Off an A.I. Arms Race: Even inside the Company, the Chatbot’s Popularity Has Come As Something of a Shock”, Kevin Roose -
https://www.theverge.com/23560328/openai-gpt-4-rumor-release-date-sam-altman-interview
: “OpenAI CEO Sam Altman on GPT-4: ‘people Are Begging to Be Disappointed and They Will Be’”, James Vincent -
https://www.nytimes.com/2023/01/12/technology/microsoft-openai-chatgpt.html
: “Microsoft Bets Big on the Creator of ChatGPT in Race to Dominate A.I.: 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”, Cade Metz, Karen Weise -
https://garymarcus.substack.com/p/what-to-expect-when-youre-expecting
: “What to Expect When You’re Expecting…GPT-4. What Comes After ChatGPT? 7 Predictions for 2023 § GPT-4”, Gary Marcus -
https://every.to/chain-of-thought/the-knee-of-the-exponential-curve
: “Here’s What I Saw at an AI Hackathon: AI Gossip, Celebrity Sightings, Tech Trends—and Some Great Projects”, Dan Shipper -
https://thealgorithmicbridge.substack.com/p/gpt-4-rumors-from-silicon-valley
: “GPT-4 Rumors From Silicon Valley: People Are Saying Things...”, Alberto Romero -
https://twitter.com/EMostaque/status/1563715319566409729
: “Stack More Layers Is Fine As GPT-4 Is about to Show but There Are Superior Routes…”, Emad Mostaque -
https://arxiv.org/abs/2203.15556#deepmind
: “Chinchilla: Training Compute-Optimal Large Language Models”, -
https://arxiv.org/abs/2203.03466
: “Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer”, -
https://openreview.net/forum?id=Bx6qKuBM2AD#microsoft
: “Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer”, -
https://arxiv.org/abs/2111.12763#google
: “Sparse Is Enough in Scaling Transformers”,