“‘GPT-4’ Tag”,2021-11-24 (DALL·E 3, inner monologue (AI))⁠:

Bibliography for tag ai/nn/transformer/gpt/4, most recent first: 6 related tags, 59 annotations, & 55 links (parent).

• See Also
• Links
  • “The Structure of the Token Space for Large Language Models”, Robinson et al 2024
  • “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”, Criddle2024
  • “VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?”, Liu et al 2024
  • “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”, Metz et al 2024
  • “Hal-Eval: A Universal and Fine-Grained Hallucination Evaluation Framework for Large Vision Language Models”, Jiang et al 2024
  • “Using Hallucinations to Bypass GPT-4’s Filter”, Lemkin2024
  • “The Carbon Emissions of Writing and Illustrating Are Lower for AI Than for Humans”, Tomlinson et al 2024
  • “Altman Says ChatGPT Will Have to Evolve in ‘Uncomfortable’ Ways”, Heath2024
  • “RAG vs Fine-Tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture”, Balaguer et al 2024
  • “Gemini vs GPT-4-V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases”, Qi et al 2023
  • “Exploiting Novel GPT-4 APIs”, Pelrine et al 2023
  • “ByteDance Is Secretly Using OpenAI’s Tech to Build a Competitor”, Heath2023
  • “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”, Labenz2023
  • “Did I Get Sam Altman Fired from OpenAI? § GPT-4-Base”, Labenz2023
  • “Inside the Chaos at OpenAI: Sam Altman’s Weekend of Shock and Drama Began a Year Ago, With the Release of ChatGPT”, Hao & Warzel2023
  • “Instruction-Following Evaluation for Large Language Models”, Zhou et al 2023
  • “Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation”, Ding et al 2023
  • “Holistic Analysis of Hallucination in GPT-4-V(ision): Bias and Interference Challenges”, Cui et al 2023
  • “Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation”, Shah et al 2023
  • “Does GPT-4 Pass the Turing Test?”, Jones & Bergen2023
  • “The Generative AI Paradox: “What It Can Create, It May Not Understand””, West et al 2023
  • “Interpreting Learned Feedback Patterns in Large Language Models”, Marks et al 2023
  • “PAIR: Jailbreaking Black Box Large Language Models in 20 Queries”, Chao et al 2023
  • “The Dawn of LMMs: Preliminary Explorations With GPT-4-V(ision)”, Yang et al 2023
  • “Summarization Is (Almost) Dead”, Pu et al 2023
  • “Non-Determinism in GPT-4 Is Caused by Sparse MoE”, 152334H 2023
  • “Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations”, Chen 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”, Dzieza2023
  • “Why YouTube Could Give Google an Edge in AI”, Victor2023
  • “LTX by Broadridge Launches BondGPT™ Powered by OpenAI GPT-4”, Inc2023
  • “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
  • “Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4”, Chang 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”, Rogers2023
  • “ChemCrow: Augmenting Large-Language Models With Chemistry Tools”, Bran et al 2023
  • “Introducing Microsoft 365 Copilot—Your Copilot for Work”, Spataro2023
  • “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”, Swisher2023
  • “GPT-4 Technical Report”, OpenAI 2023
  • “GPT-4 Is Coming next Week—And It Will Be Multimodal, Says Microsoft Germany”, Hahn2023
  • “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”, Kang & Satariano2023
  • “Allen & Overy Breaks the Internet (and New Ground) With Co-Pilot Harvey”, Hill2023
  • davidtayar5 @ “2023-02-10”
  • “New Bing, and an Interview With Kevin Scott and Sam Altman About the Microsoft-OpenAI Partnership”, Thompson2023
  • “How ChatGPT Kicked Off an AI Arms Race: Even inside the Company, the Chatbot’s Popularity Has Come As Something of a Shock”, Roose2023
  • “Connor Leahy on Aliens, Ethics, Economics, Memetics, and Education § GPT-4”, Leahy2023
  • “OpenAI CEO Sam Altman on GPT-4: ‘People Are Begging to Be Disappointed and They Will Be’”, Vincent2023
  • “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”, Metz & Weise2023
  • “What to Expect When You’re Expecting…GPT-4. What Comes After ChatGPT? 7 Predictions for 2023 § GPT-4”, Marcus2022
  • “Here’s What I Saw at an AI Hackathon: AI Gossip, Celebrity Sightings, Tech Trends—And Some Great Projects”, Shipper2022
  • “6 New Theories About AI: Software With Superpowers § GPT-4”, Armstrong2022
  • immad @ “2022-11-22”
  • “GPT-4 Rumors From Silicon Valley: People Are Saying Things…”, Romero2022
  • 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
  • “Sparse Is Enough in Scaling Transformers”, Jaszczur et al 2021
  • “An Analysis of AI Political Preferences from a European Perspective”
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