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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 ↗5931 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
apimart-232ww/wan-3.0-video-api-fr ↗
API Wan 3.0 : identifiant de modèle, tarif 0.0329 $ par seconde (480P), paramètres, exemples cURL et Python, endpoint compatible OpenAI.
- GitHub · Repository created · First archived
apimart-2dwad/flux-2-api-fr ↗
API FLUX.2 : identifiant de modèle, tarif 0.024 $ par image (1MP), paramètres, exemples cURL et Python, endpoint compatible OpenAI.
- GitHub · Repository created · First archived
APImart-23ww/kling-3-api-ko ↗
Kling v3 API 한국어 가이드: 모델 ID, 초당 $0.0672 요금, 파라미터, cURL·Python 예제와 OpenAI 호환 엔드포인트 설명.
- GitHub · Repository created · First archived
apimart-ss223w/seedream-5-api-ko ↗
Seedream 5.0 Pro API 한국어 가이드: 모델 ID, 장당 $0.0146 (1K-layer) 요금, 파라미터, cURL·Python 예제와 OpenAI 호환 엔드포인트 설명.
- GitHub · Repository created · First archived
Ai-trainee/awesome-jev ↗
全网 JEV 玩法案例库 · 持续更新中：68 条 X 真实案例 + 43 个精选开源项目（Jev 评分/场景/截图/Skill 包）
- GitHub · Repository created · First archived
apimart-2wsd2/hailuo-2.3-api-ja ↗
Hailuo 2.3 API の日本語ガイド：モデル ID、秒あたり $0.0248 の料金、パラメータ一覧、curl・Python の実行例と OpenAI 互換エンドポイントの解説。
- GitHub · Repository created · First archived
apimart-223/flux-2-api-ja ↗
FLUX.2 API の日本語ガイド：モデル ID、1枚あたり $0.024 (1MP) の料金、パラメータ一覧、curl・Python の実行例と OpenAI 互換エンドポイントの解説。
- GitHub · Repository created · First archived
Minglink/hark-agent-mobile ↗
Hark Agent Mobile — 拥有自定义系统提示词注入的独立 Linux 终端运行环境与任务规划引擎的手机端自主 AI 智能体，求个星星收藏
- arXiv · Published · First archived
Horizon-Aware Early Event Prediction for Tokamak Disruption Alarms ↗
Reliable disruption prediction is essential for the safe operation of future tokamaks. Existing full-distribution survival methods model the complete residual time-to-disruption distribution, whereas operational decisions primarily depend on disruption risk within a finite prediction horizon. This mismatch motivates introducing Early Event Prediction (EEP) objectives into survival-based disruption prediction. We take Deep Survival Machines (DSM) as the full-distribution baseline and propose applying two established EEP methods to tokamak disruption prediction: Temporal Label Smoothing (TLS), w…
- GitHub · Repository created · First archived
jev-chat/jev-chat-jarvis-mac ↗
聊天悬浮窗助手（macOS）：屏幕感知 + 本地小模型判断意图与风险，按话术生成回复候选。纯只读。
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.