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Earlier sources: AI research
AI research investigates learning algorithms, model behavior, evaluation, and the limits of intelligent systems. Follow original papers and research artifacts; preprints may change and are not necessarily peer reviewed.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗47 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- GitHub · Repository created · First archived
lkhfrgc/scholar-llm-wiki ↗
A knowledge base toolkit for research and literature review. AI agents compile papers, books and notes into a structured, densely interlinked Obsidian wiki. Built on Karpathy's llm-wiki.md: ingest/query/lint skills, controlled tag vocabulary, concept hierarchy + Canvas, arXiv->LaTeX formula pipeline, exit-code audits.
- Hacker News · Posted on Hacker News · First archived
TasteVal: Does AI have research taste? ↗
Hacker News discussion.
- GitHub · Repository created · First archived
flecomet/neurips-explorer ↗
Interactive semantic map of all 9,110 accepted NeurIPS 2026 papers using SPECTER2, UMAP and HDBSCAN.
- GitHub · Repository created · First archived
ZipengWu365/TOMC ↗
TOMC Memory（汤姆 C）官方仓库｜AI 助手记忆插件、上下文压缩、插件下载与中文安装教程。Context compression and task memory for Codex, Claude Code and MCP clients.
- arXiv · Published · First archived
TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts ↗
We introduce TasteVal, a benchmark to evaluate the experimental research taste of frontier models. We define research taste as the ability to pick interesting problems to solve, design experiments, and interpret experimental results. TasteVal measures the experimental component of research taste; given a fixed research problem, we measure how well a model iteratively designs experiments and draws conclusions from their outcomes. We operationalize experimental research taste as compute efficiency; a Researcher who reaches the same score as an expert human using half the serial experimental comp…
- GitHub · Repository created · First archived
matteodisalvo/HeroFig ↗
A visual desktop editor for creating publication-ready scientific figures, with domain-specific libraries, real-time collaboration, and export to PDF, SVG, PNG, and LaTeX/TikZ.
- arXiv · Published · First archived
CCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research ↗
High-quality child care in early life is a critical determinant of children's growth and development. Research on child care quality has been constrained by fragmented, non-research-friendly, and privacy-bound datasets. We present CCQ (Child Care Quality), a large-scale, de-identified dataset for applied data science research at the intersection of AI and early childhood health. CCQ integrates 59,372 child care provider records across 12 U.S. states, covering diverse provider types as well as data schemas. To ensure research utility while protecting privacy, we implement an automated, LLM-base…
- GitHub · Repository created · First archived
Takamatsu-Hikaru/AI-Research-Guide ↗
AI 科研入门指南：大学选择、科研 60 问、入门项目、学习路线与论文卡片。A bilingual guide to getting started in AI research.
- GitHub · Repository created · First archived
aowang-ai/seris ↗
Open-source desktop AI trading assistant for market research: chat beside live charts, price alerts, local backtests, bring your own model.
- GitHub · Repository created · First archived
chenxiachan/paperfold ↗
Zoom any paper for your better understanding
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about AI research
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.