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Earlier sources: Artificial Intelligence
Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.
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 ↗5906 classified signals in the fourteen-day window. Recent momentum: steady. 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
DarranLiu/Easy-Web-Vibecoding ↗
Self-hosted web workspace for Claude Code, Codex, OpenCode and shell, with tmux persistence, split panes, file tools and GPU monitoring.
- arXiv · Published · First archived
Financial Language Models as Applied Artificial Intelligence Systems for News-Based Trading under Market Frictions ↗
Financial language models can transform unstructured firm-specific news into structured decision signals, but financial AI research lacks an integrated deployment framework for evaluating whether those signals remain useful in financial decision systems. Computer science research has developed strong methods for time-series forecasting, text classification, multimodal stock prediction, graph-based market modeling, and machine-learning operations, yet these streams do not provide a domain-specific protocol that jointly tests financial language-model outputs under event-time observability, proba…
- GitHub · Repository created · First archived
minorun365/minorun-marp-skill ↗
Marpで登壇スライドを作るための、ストーリー・図・デザインバランスのスキル集と黒地テーマ、検査ツール
- GitHub · Repository created · First archived
cyeinfpro/codepier ↗
把 AI 接入你的真实开发环境。CodePier 让 ChatGPT / MCP 安全连接本地项目、Pi / Codex、Shell、浏览器与桌面能力。
- GitHub · Repository created · First archived
00200200/usagetrim ↗
Keep the signal. Cut the noise. Local CLI + MCP — fold verbose tool output for Claude Code, Codex, Cursor & Desktop.
- GitHub · Repository created · First archived
jolie-z/jobhunter-ai ↗
🚀 AI 全链路求职自动化平台：抓取→清洗→AI评估→简历改写→自动投递，四大招聘平台 + 飞书 ChatOps 指挥 | Industrial-grade AI job-hunting automation: scrape → clean → LLM eval → resume rewrite → auto-apply, with Feishu ChatOps
- GitHub · Repository created · First archived
john-walks-slow/token-speed-patrol ↗
LLM API 定时测速巡检 + 静态看板（GitHub Actions 免服务器）
- GitHub · Repository created · First archived
ruban-24/switchboard ↗
An open-source, model-agnostic decision router for Claude Code and Codex.
- arXiv · Published · First archived
HARN: Hierarchical Associative Resonance Network for Event-Driven Multi-Timeframe Forecasting ↗
Financial time series evolve across multiple temporal resolutions, challenging forecasting systems to incorporate newly available information without repeatedly recomputing unchanged representations. We introduce HARN, a Hierarchical Associative Resonance Network for event-driven multi-timeframe forecasting. HARN maintains persistent representations across temporal levels and updates each level only when its corresponding completed bar becomes available. The architecture combines causal multi-scale temporal encoding, gated associative memory, cross-level resonance, and hierarchical evidence ag…
- GitHub · Repository created · First archived
HAOHAO1995/anti-ai-archive-showcase ↗
A global research archive tracing anti-AI movements and the changing politics of consent, labour, copyright and control since 2022.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Artificial Intelligence
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.