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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 ↗5203 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
Demonstrating Deterministic Trust and Formal Proof for AI-Generated Code ↗
Hacker News discussion.
- arXiv · Published · First archived
Unmasking Compensating Errors in Numerical Weather Models: A Process-Additive Neural Network Approach ↗
This work introduces a Process Additive Neural Network (PANN) framework to disentangle compensating biases in atmospheric models, where errors in different physical processes can offset each other and obscure their origins. Using a single-column model, each PANN branch represents the tendency error associated with a separate physical process, and the summed branch outputs approximate the total error relative to a reference tendency. Once trained successfully, the branch outputs are expected to provide process-level error attributions and, when averaged, estimates of process-level bias. Initial…
- Hacker News · Posted on Hacker News · First archived
OpenAI's dot assistant burned 300K+ tokens in a day without a single prompt ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
Devseis/endpoint-auditor-releases — dataset update ↗
# Arx — releases Desktop app installers for [Arx](https://huggingface.co/spaces/Devseis/Arx): a free, read-only security audit of a Mac, Windows or Linux computer against ISO 27001, GDPR and the EU AI Act, with the fine-tuned [auditor model](https://huggingface.co/Devseis/endpoint-auditor-0.5b) writing the report on the computer. **Download page:** https://devseis-arx.static.hf.space/#download | Version | Platform | File | SHA-256 | |---|---|---|---| | 0.4.3 | macOS 13+ (Apple silicon and Intel) | `Arx-0.4.3-mac-universal.dmg` (227 MB) | `c25ab2f516837ca030929412db85fb1db372345be28552c7a1af146
- Hugging Face · Model / dataset date · First archived
zaibihassan/Quranic-Translation-Audio-Data — dataset update ↗
--- ## Overview **Quranic Translation Audio Data** is a highly curated, standardized, and streaming-optimized multilingual audio dataset containing the complete recitation of translation audios and commentaries of the Holy Quran across **51 different translation directories**. Every audio track has been meticulously converted from heavy .mp3 source files into the modern, high-fidelity **Opus (.opus)** format at a streaming-optimized bitrate of **32kbps**. Alongside the audio, the dataset includes highly efficient **Protocol Buffer (.pb)** files containing word-by-word/verse-by-verse timing dat
- Hugging Face · Model / dataset date · First archived
NbAiLab/nb-asr-qwen06b-bokmal-nynorsk-reranker — model update ↗
# Bokmål–Nynorsk semantic-equivalence reranker — training in progress **This repository is under construction. No selected, validated model has been released yet.** This model was created by Thea Tollersrud and Per Egil Kummervold in the NB-ASR project. The planned model recognizes equivalent Bokmål–Nynorsk text while detecting changed numbers, pronouns, entities, and participant roles. Meaning-preserving differences and reorderings are accepted. Training starts from Qwen/Qwen3-Reranker-0.6B and uses [the CC0 parallel corpus](https://huggingface.co/datasets/NbAiLab/merged_npk_ndla_parallel_par
- Hugging Face · Model / dataset date · First archived
bardsai/eu-pii-anonimization-multilang — model update ↗
# EU PII Anonimization Multilingual Detector A multilingual PII detector built for EU compliance reality: 24 official languages, GDPR special categories, AI Act high-risk data - in one model.  ## Try it 🔗 [Live demo in Browser](https://eu-pii.bards.ai/) ## Why this exists GDPR and the AI Act require you to detect and redact personal data across every language your users write in. Most open-source PII models were trained on English with a few translation
- Hacker News · Posted on Hacker News · First archived
OpenAI pursues acquisition of Trail of Bits security firm ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
European Cities Deploy Nvidia-Powered AI Agents to Run Smarter Urban Operations ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Agent Identity – Identity and communication infrastructure for AI agent ↗
Hacker News discussion.
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.