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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 ↗5196 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.
- Hacker News · Posted on Hacker News · First archived
Belgrade AI Conference: Safety, Federated Learning and Hiring Bias ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Artificial intelligence is capitalism's final destination ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The AI Bill Is the Cheap Part ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
ml-resources/RoboMIND2.0-Franka-Part-3 — dataset update ↗
> Mirror of [X-Humanoid/RoboMIND2.0-Franka-Part-3](https://www.modelscope.cn/datasets/X-Humanoid/RoboMIND2.0-Franka-Part-3) from ModelScope. All credit to the original authors. Not an official release from them. License unchanged (apache-2.0). > > Upload in progress: ModelScope rate-limits downloads of this dataset, so not all files are mirrored yet. 数据集文件元信息以及数据文件，请浏览“数据集文件”页面获取。 当前数据集卡片使用的是默认模版，数据集的贡献者未提供更加详细的数据集介绍，但是您可以通过如下GIT Clone命令，或者ModelScope SDK来下载数据集 #### 下载方法 :modelscope-code[]{type="sdk"} :modelscope-code[]{type="git"}
- Hugging Face · Model / dataset date · First archived
OpenVINO/Mistral-7B-Instruct-v0.3-fp16-ov — model update ↗
# Mistral-7B-Instruct-v0.3-fp16-ov * Model creator: [Mistral AI](https://huggingface.co/mistralai) * Original model: [Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) ## Description This is [Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2025/documentation/openvino-ir-format.html) (Intermediate Representation) format. ## Compatibility The provided OpenVINO™ IR model is compatible with: * OpenVINO version 2025.2.0 and higher ## Running Model Inference with [Op
- Hacker News · Posted on Hacker News · First archived
Show HN: Deterministic AI Agents Guardrail ↗
Hi all, With everybody (and especially companies) using AI agents, I have decided to work on a deterministic guardrail tool for AI agents. What does it mean? On the same way that an AI agent can run “terraform plan”, it can also run “terraform destroy”. The tool ALLOWS or BLOCKS AI commands accordingly, to avoid unexpected “tragedies”. Please, note that this is not a hardened sandbox. The tool can be bypassed by a capable person or process, since…
- Hacker News · Posted on Hacker News · First archived
State of agentic coding #11: the curiosity test, Lisp, and labs that can't fail ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Building AGI Using Language Models (2020) ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Flashpapers – Interactive explainers for AI papers ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
MarcelEsmond/Annoy-PyEdu-Rs — dataset release ↗
# Annoy: This should be a paper Title 📑 Paper    |    🌐 Project Page    |    💾 Released Resources    |    📦 Repo This is the resource page of the our resources collection on Huggingface, we highlight your currect position with a blue block. **Dataset** Dataset Link Annoy-PythonEdu-Rs 🤗 Please also check the raw data after our processing if you are interested: [MarcelEsmond/Annoy-PyEdu-Rs-Raw](https://huggingface.co/datasets/MarcelEsmond/Annoy-PyEdu-Rs-Raw). **Models** Base Model / Training Annoy Annoy++ Stage 1 Stage 2 Stage 1 Stage 2 Qwen 2
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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