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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 ↗5522 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
Anthropic Says Users Can't Be Needlessly Cruel to Claude ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Is this AI training on my prompts? A dated record of the fine print ↗
Hacker News discussion.
- GitHub · Repository created · First archived
mrzh7/scam-with-your-friends-web ↗
Scam With Your Friends Web: unofficial open-source browser remake. Co-op AI call center game with a 3D office, voice chat and daily quotas. React + Three.js; self-host on Cloudflare.
- Hacker News · Posted on Hacker News · First archived
Show HN: Wy – a Rust terminal tool for understanding AI-generated code ↗
I have been an opensource terminal tool for understanding AI-generated code. A git-diff shows what changed, but the context behind it lives somewhere within the agent's session context, and often goes missing in long running agent execution. Wy helps reduce that understanding gap, and helps engineers build judgement. This is especially useful for unfamiliar codebases, where agents are the primary interface for the developers. It is meant to be us…
- GitHub · Repository created · First archived
Melvynx/video-agent-skills ↗
Free Claude Code skills to script, research and edit short-form videos. Markdown only.
- Hugging Face · Model / dataset date · First archived
incrediblecrab/scotus-news-media — dataset update ↗
# Supreme Court of the United States: News Media The document files that the Supreme Court's website lists under [News Media](https://www.supremecourt.gov/publicinfo/publicinfo.aspx) in its footer, one config per collection, each row a file with the file itself, byte for byte, and its text. Nothing here is edited by hand, and no text is corrected, normalized or generated. The pipeline and its tests are in [github.com/incrediblecrab/scotus-research-service-products](https://github.com/incrediblecrab/scotus-research-service-products), and this card is rendered from the collections' manifests in
- Hugging Face · Model / dataset date · First archived
inferencerlabs/Atria-Dawn-Preview-MLX-Q4i — model release ↗
# Atria-Dawn-Preview See Atria-Dawn-Preview in action: [demonstration videos](https://youtube.com/xcreate) #### Tested with a M3 Ultra using [Inferencer app](https://inferencer.com) - Text Inference: ~15.8 tokens/s @ 1000 tokens ~428.6 GiB  Q4i uses the data-agnostic INF method tuned to yield maximum general accuracy within a 512 GiB memory budget. Due to system memory and time constraints, the figures shown below are from the conversion of GLM 5.1. Quantization (bpw) Perplex
- Hugging Face · Model / dataset date · First archived
francesca9805/swa-100mb-after-wc-uniform-newlex-after-ckpt500-packed-bfdiso_seed3407 — model update ↗
# Model Card for swa-100mb-after-wc-uniform-newlex-after-ckpt500-packed-bfdiso_seed3407 This model is a fine-tuned version of [francesca9805/ppt-wc-uniform-newlex-swa-after-100mb-packed-bfdiso_seed3407](https://huggingface.co/francesca9805/ppt-wc-uniform-newlex-swa-after-100mb-packed-bfdiso_seed3407). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-gen
- Hacker News · Posted on Hacker News · First archived
Cybernetics of AI Companies ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI Film Submmitted for Best Animated Feature Oscar ↗
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.