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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 ↗6033 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
h9-tec/arabic-ai-atlas ↗
The Arabic AI ecosystem as a map, a list, and a skill your agent can install.
- Hugging Face · Model / dataset date · First archived
waelGabsi01/wine-quality-prediction — model release ↗
# Wine Quality Prediction A machine learning model for predicting wine quality from physicochemical features. ## Model Details * **Model:** Random Forest Classifier * **Framework:** Scikit-learn * **Format:** Joblib * **Task:** Tabular classification ## Description This model was created as part of my machine learning learning journey, following and implementing a practical machine learning tutorial. The project helped me practice the complete workflow of preparing data, training and evaluating a Random Forest model, serializing the trained model, and making it ready for use in a Python applic
- Hugging Face · Model / dataset date · First archived
BotBot6990/Dirty-Muse-1-Million-Context — model update ↗
###### I have not extensively tested with long games, but with the testing I have done it seems to hold up well. ###### I extended the context to better handle games as the short context limit would end games quickly. ###### I advise testing the context to see what your system can handle. ###### All testing was done in Oobabooga TextGen. Results of my tests are as follows. | Context | Q4_K_M | TBA | TBA | TBA | | :------------ |:-------------:| :-------: | :-------: | -------: | | 100,000 | 7.4GB | TBA | TBA | TBA | | 250,000 | 34.2GB | TBA | TBA | TBA | | 500,000 | 79.9GB | TBA | TBA | TBA |
- Hugging Face · Model / dataset date · First archived
a2aj/hansard — dataset update ↗
# Canadian Hansard (A2AJ) > **Alpha — work in progress.** This is an alpha version of a work in progress academic research project. It is likely to undergo significant revisions. Last updated: 2026-10-04 Maintainer: [Access to Algorithmic Justice (A2AJ)](https://a2aj.ca) ## Dataset Summary The A2AJ Canadian Hansard dataset provides bulk, open-access parliamentary Hansard transcripts — the official record of debate — for Canadian legislatures, parsed into structured rows with one row per intervention (a speaker turn or a procedural note). It currently covers the Legislative Assembly of Ontario.
- Hugging Face · Model / dataset date · First archived
mradermacher/Qwopus3.8-27B-Flash-V2-abliterated-i1-GGUF — model update ↗
## About weighted/imatrix quants of https://huggingface.co/shawnw3i/Qwopus3.8-27B-Flash-V2-abliterated ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwopus3.8-27B-Flash-V2-abliterated-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Qwopus3.8-27B-Flash-V2-abliterated-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Qwopus3.8-27B-Flash-V2-abliterated-GGUF).** ## Usage If you are unsure how to use GGUF files, refer to one of [T
- Hacker News · Posted on Hacker News · First archived
AI's 'Thought' Process Can No Longer Be Trusted ↗
Hacker News discussion.
- GitHub · Repository created · First archived
christopherowen/dgx-spark-networking ↗
Switchless RoCE collectives, NCCL profiles and fabric tooling for DGX Spark inference recipes
- Hacker News · Posted on Hacker News · First archived
Herbarium – keep and review the HTML pages AI tools generate ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Harden Your AI Agent ↗
Hacker News discussion.
- GitHub · Repository created · First archived
xianyu110/ecommerce-video-skills ↗
12 个电商短视频 Agent Skills：3秒钩子、卖点分镜、图生视频提示词、edge-tts 配音、字幕花字、ffmpeg 自动成片、抖音/TikTok Shop/视频号导出、直播切片、多语言配音、封面A/B · Claude Code / Codex / Cursor
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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