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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 ↗5884 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
AkashPriyadarshii/jev-curate ↗
High-throughput synthetic and pretraining dataset sifter for TypeSafe Jev. Rust streaming core, Parquet and JSONL I/O, typed Choice/Score/Noul judgments, speculative fan-out, 24.0 rows/sec measured.
- GitHub · Repository created · First archived
ikermoel/open-alternative-jev ↗
Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks
- GitHub · Repository created · First archived
wfzyx/von ↗
The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
- GitHub · Repository created · First archived
24601/Augustus ↗
Agent skill for finding, building, evaluating, and improving decision-model systems. Compositional decision calculus, eval harnesses, and bounded prompt/program hill climbing for Software 3.0. TypeSafe Jev is the default hosted exemplar. Independent of TypeSafe.
- GitHub · Repository created · First archived
op7418/guizang-product-video-skill ↗
归藏 product video skill：复用真实产品组件和设计语言，用代码制作软件更新宣传片。包含分镜文案、原创配乐、动作音效与视频渲染，支持 Claude Code 和 Codex。
- GitHub · Repository created · First archived
KunlunMeta-dev/Kcoder ↗
KCoder — agentic AI coding platform by KunlunMeta: model providers, tool system, permissions & sandbox, long-term memory, skills, MCP, sub-agents, terminal TUI and KCoder Studio desktop app. Source snapshots and Windows installers are published under Releases.
- GitHub · Repository created · First archived
lovetimo0421/yumina-oss ↗
AI native world engine for interactive fiction.
- GitHub · Repository created · First archived
Miaotofu01/Study-Mate ↗
你的AI学习搭档：定路线、讲知识、做项目，边学边做，学透一门科目
- GitHub · Repository created · First archived
zadescoxp/Jev-Trades ↗
Trading bot with the all new TypeSafe AI's first system one model named as Jev
- GitHub · Repository created · First archived
dimentary/llm-robotics-playground ↗
A library of experiments using frontier LLMs/VLMs for robotics tasks, currently focusing on GPT-6 Astra.
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.