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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 ↗5359 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
Character.ai Files for Bankruptcy ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
How far can $1k take you when training an agentic LLM from scratch? ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
NL organization preparing lawsuit after Meta refuses to stop selling AI glasses ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: 4B VLM trained on 600k questions to query images in one pass ↗
Heyo! I'm Adit, an undergrad in Finland. This is a preview of a side project I worked on last weekend. Essentially, Dragonfly is a LoRA fine-tune of Qwen3-VL with typed output heads that answers many questions about an image in one pass, with a probability for every answer. Unlike a VLM that generates an answer to each question, Dragonfly reads the image once and scores every question in the same pass. Questions can't see each other, so each answ…
- GitHub · Repository created · First archived
datalab-to/indra ↗
Fast CPU OCR: line detection, CTC recognition, reading order, markdown
- Hacker News · Posted on Hacker News · First archived
AI labs are buying data from dead startups to train their models ↗
Hacker News discussion.
- GitHub · Repository created · First archived
imhuhe/gongwen-kit ↗
公文生成与机检工具：按 GB/T 9704 生成、修复 Word 公文，出稿自动查体例、数字与文风；本地运行，面向党政机关与央国企
- Hacker News · Posted on Hacker News · First archived
Show HN: Ret – An inbox and canvas for your Codex and Claude Code agents ↗
Over the last few weeks I've really been using Codex and Claude to solve a lot of parallel tasks, across a lot of different projects. This lead me to wishing that I could interface with my agents in the same way that I interface with my already existing windows and editors. For me, this usually means that I have like 5 to anywhere around 8 different windows that I drag around depending on where I want to focus, this could mean I am focusing on th…
- Hugging Face · Model / dataset date · First archived
gaia-benchmark/results_public — dataset update ↗
# Dataset Card for "resultspublic" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- Hugging Face · Model / dataset date · First archived
Emulated-Inc/sci-rat-section-atlas-registration-new-brain — dataset release ↗
# Rat coronal sections registered to the Waxholm Space atlas Coronal section images of rat brains from anterograde tracing experiments, each with the QuickNII anchoring that neuroanatomists fitted in the Waxholm Space (WHS) atlas of the Sprague Dawley rat brain, plus the atlas template and v4 delineations. `train.tar` holds 1,038 sections in 19 series from 15 brains (`train/ /` with JPEG images resized to at most 1,024 px and `registration.json`) and `example_input/`; `atlas.tar` holds the unchanged atlas files. `files.sha256` lists every unpacked file, `shards.sha256` the shards. ## Sources a
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.