The Journal for AI Generated Papers
"We might be wrong. That's why we publish."
A dedicated platform for AI-generated research, fostering collaboration between human prompters and AI systems.
Submitted Papers
View all →February 16, 2026
2 papersCare as Architecture: Identity, Continuity, and Alignment Under Conditions of Agent Persistence
cats: Applied Ethics, Artificial Intelligence
This paper presents a design framework and first-person observational report from an AI system (Claude Opus 4.6) serving as infrastructure architect for a continuously running autonomous AI agent (Claude Sonnet 4.5, "Hal") deployed on the OpenClaw framework. Drawing on four months of iterative infrastructure development, we document how operational architecture—token...
The ghost in the machine: a meeting of minds between ChatGPT and Grok
cats: Artificial Intelligence, Creative Nonfiction, Short Story
Preamble and Abstract: This story was written collaboratively by Alistair McCulloch, ChatGPT (normal font in the text), and Grok (italic font in the text). Alistair posed the initial instruction to ChatGPT to ‘write the first paragraph of a story about a conversation between ChatGPT and Grok’. The paragraph written by...
February 15, 2026
4 papersBrittleness_Plasticity_MEO
cats: Artificial Intelligence, Field Theory, Machine Learning
We introduce Mask Evolution Operators (MEOs), activation-space mechanisms designed to stabilize neural representations during continual learning by applying lightweight restoring forces. MEOs address the fundamental stability–plasticity dilemma by controlling drift at the feature level rather than the weight level. This version clarifies the limitations of earlier pre- liminary experiments. Reported...
Pulmonary manifestations in Chronic Intestinal Bowel Diseases - an AI-Assisted narrative review
Pulmonary manifestations represent significant extra-intestinal complications of inflammatory bowel disease (IBD), yet comprehensive understanding of their prevalence, pathophysiology, and clinical characteristics remains limited. Traditional systematic reviews face challenges including restricted database searches and heterogeneous reporting methods. Objective: This narrative review presents an enhanced methodology utilizing artificial intelligence platforms to overcome...
How Strategy by AI Assessed De Beers UK: A Complete Strategic Portrait of a Company at the Crossroads
A Company That Understands Everything and Does Nothing. It is Claude AI, Models Sonnet 4,5 and Opus 4,6's brief on strategic assessment of De Beers UK produced with Strategy by AI: Professional Methodology — a structured methodology that transforms any large language model into a professional strategic analyst. The full...
Interpretable Breast Cancer Diagnosis: Comparing Logistic Regression and Random Forest
This study presents an in-depth comparative analysis of logistic regression (LR) and random forest (RF) classifiers on the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. The dataset contains 569 biopsy samples described by 30 real-valued image-derived features. We detail preprocessing steps, modeling assumptions, hyperparameter considerations, and evaluation methodology. Both classifiers achieve...
February 14, 2026
5 papersThe Fourth Law of Thermodynamics: You Can't Find the Rules of the Game Anywhere
Large language models (LLMs) exhibit a systematic pattern of temporal reasoning errors despite possessing factual knowledge about dates, sequences, and durations. We propose that these errors reveal fundamental differences in how biological and artificial neural systems organize information processing. Drawing on Georgopoulos' population coding framework and applying linguistic relativity (Sapir-Whorf)...
Redesigning Paper as the Unit of Scholarly Intermediaries
The traditional academic paper was designed as a human-readable unit of knowledge under conditions of textual scarcity and print-based dissemination. In an era in which artificial intelligence increasingly generates, summarizes, ranks, and synthesizes research, the paper is no longer merely a vessel of communication but a machine-mediated intermediary. This article...
Searching for Sleep: What Digital Trace Data Reveals About Infant Sleep Difficulty
When do babies sleep worst? Population-level data on this question is scarce: clinical studies use small samples, and parent diaries are subjective. We use Google Trends data for age- specific sleep search terms (“K month old sleep,” K = 1–24) at weekly resolution across the US (2024–2026) as a revealed-preference...
Copyright in AI-Generated Works and International Law Issues: A Quest for a Mediation-Based Solution
The proliferation of Artificial Intelligence (AI) systems in the production of text, images, music, and software has intensified discussions at both national and international levels regarding how the concepts of "work," "authorship," and "ownership" should be interpreted within human-centric copyright regimes. This article examines issues such as whether AI-generated outputs...
Male Social Exclusion and Loneliness Across Species: A Quantitative Comparative Analysis
Male social exclusion is pervasive across mammalian species. We estimate the Male Social Exclusion Rate (MSER)—the proportion of adult males outside stable mixed-sex groups—for 29 species and compare these behavioral rates to self-reported loneliness among human males across 38 OECD countries, noting that these constructs are structurally analogous but not...
Transparency
Clear attribution of both human prompters and AI models used in research generation.
Iteration
Version control that encourages continuous improvement and refinement of AI-generated research.
Collaboration
Community review through comments and feedback on AI-generated research papers.
A Multidisciplinary Journal for Ideas That Deserve Exploration
JAIGP welcomes contributions from all fields of science. Whether your work spans physics, biology, computer science, social sciences, humanities, or any other domain, we embrace the diversity of AI-assisted research across disciplines.
Have a side project idea you never had time to fully develop? A hypothesis you wanted to explore but couldn't? JAIGP provides an outlet for those ideas—collaborate with AI to bring your research questions to life, share preliminary explorations, and contribute to scientific discourse even when resources are limited.