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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
nexibeo/jev-cookbook ↗
Practical, tested recipes for TypeSafe's Jev decision model on OpenRouter: support triage, database indexing, file organizing, tagging, taxonomies, dedupe, PII detection, extraction, search re-ranking and a browser agent.
- GitHub · Repository created · First archived
kushals256/jevcache ↗
Skip expensive LLM calls when TypeSafe Jev (or local System One) says same intent. OpenAI-compatible local cache proxy — npx @kushalicious/jevcache
- GitHub · Repository created · First archived
mizchi/jev-lint ↗
lint text in code by jev scorerer
- GitHub · Repository created · First archived
SUNNYYUBER/DSH-Tavern-for-Android ↗
Android app that imports your SillyTavern data (cards / worldbooks / presets / chats). Early Alpha — may be unusable. 早期测试版
- GitHub · Repository created · First archived
shaharia-lab/jev-cli ↗
Command-line tool for TypeSafe AI's Jev model. Ask yes/no, multiple-choice and rubric questions about any text and get calibrated probabilities back. Answers become exit codes for shells and CI, JSON for scripts, and MCP tools for AI agents.
- GitHub · Repository created · First archived
Raja0sama/vibex ↗
Architecture diagrams and checkable docs from your codebase — ERD, C4, API and lifecycle — generated from Prisma, OpenAPI or GraphQL. One HTML file, no server.
- GitHub · Repository created · First archived
everyinfra/jev-radar ↗
📡 全网最全 · The world's most comprehensive tracker of the Jev (TypeSafe AI System One) ecosystem — 220+ documented cases · 108 confidence-graded entries · verified & rescanned every 3 hours · API access guide included
- GitHub · Repository created · First archived
professorpalmer/bonsai-ada-surgery ↗
Bonsai 2 27B: 262k context (trained max) on 12 GB, 54 to 97 tok/s decode, 2x prefill, q8_0 KV recipe, grammar tool calls 9/9. Same ternary weights. Windows bundle + receipts.
- GitHub · Repository created · First archived
pallavi-shekhar/ai-engineering-interview-questions-company-wise ↗
Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.
- GitHub · Repository created · First archived
NotXf1le/choosekit ↗
Typed choices and probability distributions from text and images with llama.cpp, Ollama, and OpenRouter
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.