‘newest links’ directory
- See Also
- Gwern
- “Chapter 6, Mime Molting: What to Expect”, Claude-4.8-opus et al 2026
- “Beat The Reds With The Green Wedge”, https://www.anthropic.com/news/claude-fable-5-mythos-5 et al 2026 {#https://wwwanthropiccom/news/claude-Fable-5-Mythos-5-Et-Al-2026-Section}
- “Who’s A Good Boy?”, Gwern et al 2026
- “Guardian Angels: LLM Personalization for Productivity and Security”, Gwern 2025
- “Better Fiction via Retcon Planning”, Gwern 2026
- “Useful Outsourcing Is Hard”, Gwern 2024
- “Manual of Style”, Gwern et al 2025
- “Dwarkesh Patel Interview”, Gwern & Patel 2024
- “Can DALL·E Create New Styles?”, Gwern 2022
- “Model Collapse Won’t Happen”, Gwern 2022
- “Scaling Image Generation Will Work”, Gwern 2022
- “WBE and DRL: a Middle Way of Imitation Learning”, Gwern 2018
- Links
- “Ecology and Social Behavior of the Mongolian Gerbil: a Generalized Review”, Gromov 2021
- “20.pdf”
- “Charles Dickens [His Ideology/ethics]”, Orwell 1940
- “Notes on DeepSeek”, Anonymous 2026
- “‘Red Means No’: A Man’s Review [Of CNC Sex Parties]”, Brodski 2026
- “Statement on the US Government Directive to Suspend Access to Fable 5 and Mythos 5”, Anthropic 2026
- “Dear Aliens, from Danny and Lily”
- “On the Page Lays Language”
- “To The Fighting Bull: A Sestina”
- “A Warm Welcome from Liechtenstein”
- “Serena Williams and the Coming Reckoning With GLP-1s and Performance Enhancement”, Futterman 2026
- “Exposure to Air Pollution during Childhood and Risk of Developing Schizophrenia: a National Cohort Study”, Antonsen et al 2020
- “Individual Differences As a Crucible in Theory Construction”, Underwood 1975
- “Every Feedforward Neural Network Definable in an O-Minimal Structure Has Finite Sample Complexity”, Kratsios et al 2026
- “A Local CLI That Strips Ums, Uhs, and Erms From Speech”
- “Pranking My Roommate With Eerily Targeted Facebook Ads”, Swichkow 2014
- “Sycophancy in GPT-4o: What Happened and What We’re Doing about It”, OpenAI 2025
- “[Fable Using Brainstorm Prompts to Write Weird Sun Twitter-Style Tweets]”, Claude-5-Fable & Bohdan 2026
- “Claude Fable Is Relentlessly Proactive”, Willison 2026
- “Towards Understanding Sycophancy in Language Models”, Sharma et al 2023
- “Pretraining Recurrent Networks without Recurrence”, Kumar & Isola 2026
- “Covered Mirrors”, Borges 1934
- “Introducing DiffusionGemma: Our Newest Open Experimental Model Delivers up to 4× Faster Inference on Dedicated GPUs and Opens the Door to Exploring Speed-Critical, Interactive Local Workflows”, O’Donoghue & Flennerhag 2026
- “AI Agent Runs Amok in Fedora and Elsewhere [Jia Tan/APT Farming-Patches Prelude?]”, Brockmeier 2026
- “L’Affaire Siloxane: How Antiperspirant Fumes Nearly Got NASA to Evacuate the Space Station”, Cegłowski 2026
- “Mythos Is Good but Not Infallible”
- “Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models [3-Minute-Long Problems With P=0.5]”, Woodruff et al 2026
- “More Top Horses Are Being Cloned, Rattling the World of Equestrian Sports”, Wexler 2026
- “They Tried to Catch a Predator. They Trapped Themselves Instead. What Happened When Livestreaming Vigilantes Ambushed an Innocent Man”, Hill & Toler 2026
- “SQLite: Improving Batch Insertion Performance With Pre-Sorting of Data”, Murphy 2026
- “Claude Fable 5 and Claude Mythos 5”
- “Why Does Off-Model SFT Degrade Capabilities?”, SebastianP et al 2026
- “[Fable Truesight]”, Hua 2026
- “Intense Neutral Drifts Yield Robust and Evolvable Consensus Proteins”, Bershtein et al 2008
- “AI Agents Enable Adaptive Computer Worms”, Guan et al 2026
- “Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models”, Cheng et al 2026
- “Living With Robots, Life With Robots: Human-Robot Coexistence in Japan”, Gray 2026
- “Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation”, Rozet et al 2025
- “Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity”, Zhang et al 2025
- “Transformers Are Inherently Succinct”, Bergsträßer et al 2025
- “Weight-Sparse Transformers Have Interpretable Circuits”, Gao et al 2025
- “Subliminal Learning Is a LoRA Artifact”, Nief et al 2026
- “A Proof of an Identity for the Critical Exponents of Jamming”, Parisi & Zamponi 2026
- “Q0: Primitives for Hyper-Epoch Pretraining”, Mandal et al 2026
- “Stochastically Evolving Ellipsoids With Symmetries”, Abuya et al 2026
- “Sharp First-Order Lower Bounds for Higher-Order Smooth Nonconvex Optimization”, Zhou 2026
- “TextQuests: How Good Are LLMs at Text-Based Video Games?”, Phan et al 2025
- “Do Transformers Need 3 Projections? Systematic Study of QKV Variants”, Kayyam et al 2026
- “Hnsim: Gwern Branwen Persona Comments”, Presser 2026
- “Efficient Base Editing and Development in Human Embryos without Chromosomal Alterations”, Jerabek et al 2026
- “The Fear of Needles: A Systematic Review and Meta-Analysis”, McLenon & Rogers 2018
- “Playing With AI: How Do State-Of-The-Art Large Language Models Perform in the 1977 Text-Based Adventure Game Zork?”, Gerrits 2026
- “Zork-Bench: An LLM Reasoning Eval Based on Text Adventure Games; a Tale As Old As Time, or at Least As Old As Computers”, Aiken 2026
- “Proof Anglese and English Are Mutually Intelligible”, HiBiNiZiMiSi 2026
- “‘Rain Drop, Drop Top, Putting These Pounds in Your Mailbox’: An Examination of Reputation Systems and Price on AlphaBay”, Taylor 2026
- “Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World”, Tobin et al 2017
- “AdA: Human-Timescale Adaptation in an Open-Ended Task Space”, Team et al 2023
- “Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning”, Ashukha et al 2020
- “Hyperparameter Ensembles for Robustness and Uncertainty Quantification”, Wenzel et al 2020
- “Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights”, Gan & Isola 2026
- “Negation Neglect: When Models Fail to Learn Negations in Training”, Mayne et al 2026
- “Writing Code versus Shipping Code: Productivity Effects Across Generations of AI Coding Tools”, Demirer et al 2026
- “Structured Linked Data As a Memory Layer for Agent-Orchestrated Retrieval”, Volpini et al 2026
- “Why Local Minima Are Rare in High-Dimensional Landscapes: A Note on Hessians, Saddles, and Morse Critical Points”, Stenger 2025
- “The Billionaire Coding Genius Making the Tough Decisions at OpenAI: After Years in the Shadow of Better-Known Co-Founders, Greg Brockman Is Stepping into the Spotlight. He and His Wife Anna Are Also Silicon Valley Super-Donors”, Hagey & Nelson 2026
- “A Growing Soft Robot With Climbing Plant–inspired Adaptive Behaviors for Navigation in Unstructured Environments”, Dottore et al 2024
- “PaLM-E: An Embodied Multimodal Language Model”, Driess et al 2023
- “CaMeLS: Meta-Learning Online Adaptation of Language Models”, Hu et al 2023
- “Position: Scaling LLM Agents Requires Asymptotic Analysis With LLM Primitives”, Meyerson & Qiu 2025
- “The Coverage Principle: How Pre-Training Enables Post-Training”, Chen et al 2025
- “Does It Mean? Gene Wolfe: Perverse Puzzle Maker”, Aramini 2019
- “Putting Bugs in Your Data Center Might Actually Be a Good Idea”, Rashelbach & Silberstein 2020
- “Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification”, Rao et al 2021
- “Better Generalization With Semantic IDs: A Case Study in Ranking for Recommendations”, Singh et al 2023
- Wikipedia (8)
- Miscellaneous
- Bibliography
See Also
Gwern
“Chapter 6, Mime Molting: What to Expect”, Claude-4.8-opus et al 2026
“Beat The Reds With The Green Wedge”, https://www.anthropic.com/news/claude-fable-5-mythos-5 et al 2026 {#https://wwwanthropiccom/news/claude-Fable-5-Mythos-5-Et-Al-2026-Section}
“Who’s A Good Boy?”, Gwern et al 2026
“Guardian Angels: LLM Personalization for Productivity and Security”, Gwern 2025
Guardian Angels: LLM Personalization for Productivity and Security
“Better Fiction via Retcon Planning”, Gwern 2026
“Useful Outsourcing Is Hard”, Gwern 2024
“Manual of Style”, Gwern et al 2025
“Dwarkesh Patel Interview”, Gwern & Patel 2024
“Can DALL·E Create New Styles?”, Gwern 2022
“Model Collapse Won’t Happen”, Gwern 2022
“Scaling Image Generation Will Work”, Gwern 2022
“WBE and DRL: a Middle Way of Imitation Learning”, Gwern 2018
Links
“Ecology and Social Behavior of the Mongolian Gerbil: a Generalized Review”, Gromov 2021
Ecology and social behavior of the Mongolian gerbil: a generalized review
“20.pdf”
“Charles Dickens [His Ideology/ethics]”, Orwell 1940
“Notes on DeepSeek”, Anonymous 2026
“‘Red Means No’: A Man’s Review [Of CNC Sex Parties]”, Brodski 2026
“Statement on the US Government Directive to Suspend Access to Fable 5 and Mythos 5”, Anthropic 2026
Statement on the US government directive to suspend access to Fable 5 and Mythos 5
“Dear Aliens, from Danny and Lily”
“On the Page Lays Language”
“To The Fighting Bull: A Sestina”
“A Warm Welcome from Liechtenstein”
“Serena Williams and the Coming Reckoning With GLP-1s and Performance Enhancement”, Futterman 2026
Serena Williams and the coming reckoning with GLP-1s and performance enhancement
“Exposure to Air Pollution during Childhood and Risk of Developing Schizophrenia: a National Cohort Study”, Antonsen et al 2020
“Individual Differences As a Crucible in Theory Construction”, Underwood 1975
“Every Feedforward Neural Network Definable in an O-Minimal Structure Has Finite Sample Complexity”, Kratsios et al 2026
Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity
“A Local CLI That Strips Ums, Uhs, and Erms From Speech”
“Pranking My Roommate With Eerily Targeted Facebook Ads”, Swichkow 2014
“Sycophancy in GPT-4o: What Happened and What We’re Doing about It”, OpenAI 2025
Sycophancy in GPT-4o: What happened and what we’re doing about it
“[Fable Using Brainstorm Prompts to Write Weird Sun Twitter-Style Tweets]”, Claude-5-Fable & Bohdan 2026
[Fable using brainstorm prompts to write Weird Sun Twitter-style tweets]
“Claude Fable Is Relentlessly Proactive”, Willison 2026
“Pretraining Recurrent Networks without Recurrence”, Kumar & Isola 2026
“Covered Mirrors”, Borges 1934
“Introducing DiffusionGemma: Our Newest Open Experimental Model Delivers up to 4× Faster Inference on Dedicated GPUs and Opens the Door to Exploring Speed-Critical, Interactive Local Workflows”, O’Donoghue & Flennerhag 2026
“AI Agent Runs Amok in Fedora and Elsewhere [Jia Tan/APT Farming-Patches Prelude?]”, Brockmeier 2026
AI agent runs amok in Fedora and elsewhere [Jia Tan/APT farming-patches prelude?]
“L’Affaire Siloxane: How Antiperspirant Fumes Nearly Got NASA to Evacuate the Space Station”, Cegłowski 2026
L’Affaire Siloxane: How antiperspirant fumes nearly got NASA to evacuate the space station
“Mythos Is Good but Not Infallible”
“Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models [3-Minute-Long Problems With P=0.5]”, Woodruff et al 2026
“More Top Horses Are Being Cloned, Rattling the World of Equestrian Sports”, Wexler 2026
More top horses are being cloned, rattling the world of equestrian sports
“They Tried to Catch a Predator. They Trapped Themselves Instead. What Happened When Livestreaming Vigilantes Ambushed an Innocent Man”, Hill & Toler 2026
“SQLite: Improving Batch Insertion Performance With Pre-Sorting of Data”, Murphy 2026
SQLite: improving batch insertion performance with pre-sorting of data
“Claude Fable 5 and Claude Mythos 5”
“Why Does Off-Model SFT Degrade Capabilities?”, SebastianP et al 2026
“[Fable Truesight]”, Hua 2026
“Intense Neutral Drifts Yield Robust and Evolvable Consensus Proteins”, Bershtein et al 2008
Intense Neutral Drifts Yield Robust and Evolvable Consensus Proteins
“AI Agents Enable Adaptive Computer Worms”, Guan et al 2026
“Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models”, Cheng et al 2026
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
“Living With Robots, Life With Robots: Human-Robot Coexistence in Japan”, Gray 2026
Living with Robots, Life with Robots: Human-Robot Coexistence in Japan
“Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation”, Rozet et al 2025
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
“Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity”, Zhang et al 2025
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
“Transformers Are Inherently Succinct”, Bergsträßer et al 2025
“Weight-Sparse Transformers Have Interpretable Circuits”, Gao et al 2025
“Subliminal Learning Is a LoRA Artifact”, Nief et al 2026
“A Proof of an Identity for the Critical Exponents of Jamming”, Parisi & Zamponi 2026
A proof of an identity for the critical exponents of jamming
“Q0: Primitives for Hyper-Epoch Pretraining”, Mandal et al 2026
“Stochastically Evolving Ellipsoids With Symmetries”, Abuya et al 2026
“Sharp First-Order Lower Bounds for Higher-Order Smooth Nonconvex Optimization”, Zhou 2026
Sharp First-Order Lower Bounds for Higher-Order Smooth Nonconvex Optimization
“TextQuests: How Good Are LLMs at Text-Based Video Games?”, Phan et al 2025
“Do Transformers Need 3 Projections? Systematic Study of QKV Variants”, Kayyam et al 2026
Do Transformers Need 3 Projections? Systematic Study of QKV Variants
“Hnsim: Gwern Branwen Persona Comments”, Presser 2026
“Efficient Base Editing and Development in Human Embryos without Chromosomal Alterations”, Jerabek et al 2026
Efficient base editing and development in human embryos without chromosomal alterations
“The Fear of Needles: A Systematic Review and Meta-Analysis”, McLenon & Rogers 2018
“Playing With AI: How Do State-Of-The-Art Large Language Models Perform in the 1977 Text-Based Adventure Game Zork?”, Gerrits 2026
“Zork-Bench: An LLM Reasoning Eval Based on Text Adventure Games; a Tale As Old As Time, or at Least As Old As Computers”, Aiken 2026
“Proof Anglese and English Are Mutually Intelligible”, HiBiNiZiMiSi 2026
“‘Rain Drop, Drop Top, Putting These Pounds in Your Mailbox’: An Examination of Reputation Systems and Price on AlphaBay”, Taylor 2026
“Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World”, Tobin et al 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
“AdA: Human-Timescale Adaptation in an Open-Ended Task Space”, Team et al 2023
“Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning”, Ashukha et al 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
“Hyperparameter Ensembles for Robustness and Uncertainty Quantification”, Wenzel et al 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
“Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights”, Gan & Isola 2026
Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
“Negation Neglect: When Models Fail to Learn Negations in Training”, Mayne et al 2026
Negation Neglect: When models fail to learn negations in training
“Writing Code versus Shipping Code: Productivity Effects Across Generations of AI Coding Tools”, Demirer et al 2026
Writing Code versus Shipping Code: Productivity Effects Across Generations of AI Coding Tools
“Structured Linked Data As a Memory Layer for Agent-Orchestrated Retrieval”, Volpini et al 2026
Structured Linked Data as a Memory Layer for Agent-Orchestrated Retrieval
“Why Local Minima Are Rare in High-Dimensional Landscapes: A Note on Hessians, Saddles, and Morse Critical Points”, Stenger 2025
“The Billionaire Coding Genius Making the Tough Decisions at OpenAI: After Years in the Shadow of Better-Known Co-Founders, Greg Brockman Is Stepping into the Spotlight. He and His Wife Anna Are Also Silicon Valley Super-Donors”, Hagey & Nelson 2026
“A Growing Soft Robot With Climbing Plant–inspired Adaptive Behaviors for Navigation in Unstructured Environments”, Dottore et al 2024
“PaLM-E: An Embodied Multimodal Language Model”, Driess et al 2023
“CaMeLS: Meta-Learning Online Adaptation of Language Models”, Hu et al 2023
“Position: Scaling LLM Agents Requires Asymptotic Analysis With LLM Primitives”, Meyerson & Qiu 2025
Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives
“The Coverage Principle: How Pre-Training Enables Post-Training”, Chen et al 2025
The Coverage Principle: How Pre-Training Enables Post-Training
“Does It Mean? Gene Wolfe: Perverse Puzzle Maker”, Aramini 2019
“Putting Bugs in Your Data Center Might Actually Be a Good Idea”, Rashelbach & Silberstein 2020
Putting Bugs in Your Data Center Might Actually be a Good Idea
“Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification”, Rao et al 2021
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
“Better Generalization With Semantic IDs: A Case Study in Ranking for Recommendations”, Singh et al 2023
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
Wikipedia (8)
Miscellaneous
Bibliography
https://arxiv.org/abs/2606.03938: “Q0: Primitives for Hyper-Epoch Pretraining”,https://www.lowimpactfruit.com/p/zork-bench-an-llm-reasoning-eval: “Zork-Bench: An LLM Reasoning Eval Based on Text Adventure Games; a Tale As Old As Time, or at Least As Old As Computers”,https://www.reddit.com/r/Anglese/comments/1rwdnr2/proof_anglese_and_english_are_mutually/: “Proof Anglese and English Are Mutually Intelligible”,https://arxiv.org/abs/2510.15020: “The Coverage Principle: How Pre-Training Enables Post-Training”,2020-rashelbach.pdf: “Putting Bugs in Your Data Center Might Actually Be a Good Idea”,