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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 ↗5219 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.
- Hugging Face · Model / dataset date · First archived
thegauravgiri/nepali-news-dataset — dataset update ↗
# 🇳🇵 Nepali News Dataset & NLP Corpus > **The comprehensive, open-access Nepali & English News Dataset for NLP and Machine Learning**, automatically aggregated and updated every 4 hours. - **Repository**: [thegauravgiri/nepali-news-dataset](https://huggingface.co/datasets/thegauravgiri/nepali-news-dataset) - **Total Articles**: 15,000+ full-text articles and growing - **Update Frequency**: Every 4 hours via automated GitHub Actions pipelines - **Languages**: Nepali (`np` / `ne`) and English (`en`) in clean UTF-8 Devanagari encoding - **License**: MIT License --- ## ⚡ Free Zero-Config API End
- Hugging Face · Model / dataset date · First archived
jimtseng/apac-nwp-forecast-raw — dataset update ↗
# APAC NWP Forecast — raw per-run parquet (Bronze) Immutable **per-run parquet** capture of Asia-Pacific NWP forecasts (JMA MSM, DWD ICON), one file per model run. This is the **Bronze** layer of the dataset family — the raw export kept exactly as fetched, before it is reshaped into the analysis-ready cube. **Most users want the analysis-ready cube, not this:** 👉 **[`jimtseng/apac-nwp-forecast`](https://huggingface.co/datasets/jimtseng/apac-nwp-forecast)** (Silver, Zarr Mode A). ## Dataset family | Dataset | Format | Role | |---|---|---| | [`jimtseng/apac-nwp-forecast`](https://huggingface.co
- Hugging Face · Model / dataset date · First archived
penguinfish1688/dialogue-to-duplex — model update ↗
# Dialogue-to-Duplex [Paper](https://arxiv.org/html/2610.17124v1) · [Demo](https://d2-duplex-demo.github.io/) · [GitHub](https://github.com/penguinfish1688/D2-dialogue-to-duplex) · [Quick Start](#quick-start) · [Research Results](#research-results) **Dialogue-to-Duplex (D2)** turns pretrained speech models into full-duplex spoken language models that listen and speak at the same time. A distilled causal audio encoder and dialogue fine-tuning teach the model when to respond, continue listening, and yield to interruptions, while keeping its native speech generator. D2 achieves strong performance
- Hacker News · Posted on Hacker News · First archived
SK Hynix Unveils Next-Generation Memory Roadmap to Address AI Bottlenecks ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Call Center Jobs Are Declining, but 14,000 Calls Show Humans Still Outperform AI ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI usage causes broken windows (2005) ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Until – A workflow where developers decide what to build and AI does the coding ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
FWeindel/validated-tasks — dataset update ↗
# Validated tasks Datasets repaired and filtered using the [OT-next-data validation protocol](https://github.com/MLI-lab/OT-next-data/blob/main/validation/PROTOCOL.md). - **V1:** environment reliability and rule-based task-quality repairs. Build/setup, no-op and reference checks where reference solutions exist. - **V2:** retain tasks solved at least once by an evaluated model. Includes partial results where a success is already recorded; each README lists models, attempt counts and coverage. ## Dataset sizes and composition **V1: 42,166 retained, patched tasks across 8 data sources.** **V2: 7,
- Hugging Face · Model / dataset date · First archived
MC7ever/hf-training-corpus — dataset update ↗
# HF Training Corpus Bulk-scraped multimodal training corpus: ~92,000 Hugging Face datasets streamed, normalized and stored as per-dataset Parquet files under `data/`. Every modality is captured: text, images (PNG bytes), audio (mono 16-bit WAV bytes), video (bytes, capped) and tabular/timeseries (serialized to text). ## Pipeline - Live crawl from a 92,458-ID corpus list (see https://github.com/shadyuwugurl/hf-datasets-trees/blob/main/datasets.txt) - `streaming=True` reads via `datasets.load_dataset`; split fallback (train -> test -> validation -> first available) and per-row format auto-detec
- Hugging Face · Model / dataset date · First archived
Ianevan/boton-floral-detector — model update ↗
--- license: mit library_name: ultralytics tags: - yolov8 - object-detection - ultralytics pipeline_tag: object-detection --- # Modelo Detector de Botones Florales Este es un modelo entrenado para detectar una clase: `flor_nueva`. El modelo fue entrenado con una arquitectura YOLOv11 pero es compatible con el motor de inferencia de YOLOv8. La configuración del dataset se encuentra en el archivo `data.yaml`.
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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