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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 ↗5873 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
Dicklesworthstone/skillranker ↗
Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.
- GitHub · Repository created · First archived
AbdelStark/awesome-typesafe-jev ↗
Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.
- GitHub · Repository created · First archived
ethanplusai/astra-flash-orchestrator ↗
Astra plans and reviews; DeepSeek Flash builds. A native Codex workflow with phased tasks, verification, safe installation and reversible setup.
- GitHub · Repository created · First archived
liyupi/ai-model-world ↗
AI 大模型世界，把 556 个大模型拟人化成像素小人的可视化站点。进来就能看到此刻谁最聪明、谁最会写代码、谁最便宜、谁刚发布，往下是国内与国外分区的厂商广场、完整的发布时间线和多维排行榜。搜索认模型名、厂商和能力，输入「多模态」会直接列出全部多模态模型。数据取自 Epoch AI、models.dev、LiveBench 与 Hugging Face，每小时自动同步，所有文案由真实数据生成，不调用任何 LLM。Next.js 静态导出，零后端。
- GitHub · Repository created · First archived
ai-4Work/iWork ↗
自主办公智能体
- GitHub · Repository created · First archived
Blackman99/deskfolk ↗
The AI teammates you'd want, on your own Mac: persistent bots in chats and groups, a split-pane desktop workbench with terminals, a live flow board for every job, per-turn model choice that says why, and experimental remote access. Bring your own model endpoints and MCP tools. Alpha.
- GitHub · Repository created · First archived
FourBis/4bis.relay-showcase ↗
Experimental local AI workspace for multi-repository conversations, persistent tasks and reviewable pull requests. Built by FourBis. MIT.
- GitHub · Repository created · First archived
ArtemPavlov1994/polymarket-prediction-bot ↗
Polymarket trading bot for prediction markets — browse CLOB markets, watch the order book in the terminal, run edge detection, liquidity provision and cross-market arbitrage strategies with paper trading and risk limits. Educational open-source toolkit — not financial advice. Unofficial community project, not affiliated with Polymarket.
- arXiv · Published · First archived
Butterfly Effect and the Kinetic Energy Cascade in Probabilistic Machine Learning Weather Prediction Models ↗
This study analyses kinetic energy (KE) spectra, difference kinetic energy (DKE) spectra, and signatures of KE transfer across spatial scales in four state-of-the-art probabilistic machine learning weather prediction (MLWP) models: NeuralGCM-ENS, FourCastNet 3, AIFS-ENS, and GenCast. Results are compared with those from the physics-based numerical weather prediction model IFS-ENS. While NeuralGCM-ENS successfully reproduces the expected upscale transfer of KE, noise injection at its encoder stage underestimates mesoscale KE. Conversely, AIFS-ENS, GenCast, and FourCastNet 3 produce realistic KE…
- runtimewire.com · Source date · First archived
OpenAI wants a head-to-head with Claude Code—using your own work ↗
OpenAI is building a Codex feature that invites developers to rerun work imported from Claude Code and compare the result, turning the migration process into a product trial built around a user's own coding task. RuntimeWire found the feature, called Codex Replay, in production build 8881 of OpenAI's Codex desktop client, inspected on September 14th. The bundled interface tells eligible users: "Replay a task you imported from another agent and compare the results." Read the full story on RuntimeWire
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.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.